one-time payment downloadable ZIP package runs locally

Build a Backtrader strategy library without writing boilerplate.

StrategyLab Desktop is a downloadable no-code app for building Backtrader strategies. Build rules visually, run real local backtests, export standalone Python files, and turn those scripts into your own strategy library.

No subscription. No account required. Buy once and download the complete package.

Buy StrategyLab See how it works

158

TA-Lib indicators

starter templates

.py

standalone exports

local

desktop workflow

StrategyLab Desktop · Results dashboard · Backtrader engine

example backtest

StrategyLab backtest results dashboard with equity curve and trade table

Who it is for

Build, test, and export strategy scripts faster.

StrategyLab gives traders, Python learners, and digital-product sellers a faster way to create repeatable Backtrader scripts without starting from a blank editor.

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Build your own strategy library

Generate MA crossovers, RSI systems, MACD filters, Bollinger setups, and custom indicator rules. Save each build as a reusable Python script.

personal research

Sell strategy code packs

Export clean standalone scripts and sell them as digital downloads, private code packs, Gumroad products, or client deliverables.

monetization

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Learn Backtrader faster

Every export shows the full Python structure: data loading, indicators, entries, exits, sizing, metrics, and reports.

education

Workflow

From visual rules to Python file in minutes.

Five simple tabs: choose data, build rules, set risk, run the backtest, then export the complete Python script.

Pick data

Use yfinance symbols for stocks, ETFs, and crypto. Set date range and timeframe.

Build rules

Create entries and exits with indicators, crossovers, comparisons, ranges, and ALL/ANY logic.

Set risk

Configure cash, commission, position sizing, stops, trailing stops, take profit, and time exits.

Run backtest

Use the real Backtrader engine and inspect returns, drawdown, Sharpe, win rate, equity, and trades.

Export .py

Download a standalone script. Run it, edit it, share it, or bundle it into a sellable code pack.

Inside the app

Visual builder. Real code output.

StrategyLab gives you a point-and-click workflow, then exports readable Python instead of locking the strategy inside the app.

✓Rule builderCombine indicators, price fields, values, and crossover logic visually.

✓Backtest reportsExport HTML reports, trade logs, equity curves, and the final script.

✓No cloud dependencyDownload the package and run it locally with Python.

What is included

The complete downloadable package.

One purchase includes the local app source, export engine, starter templates, requirements file, and setup instructions.

🖥

StrategyLab Desktop app

The local NiceGUI application with the full builder interface. Runs on your own machine with Python.

app.py · strategylab/ · requirements.txt

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Ready-made templates

Moving Average Crossover, RSI Oversold Bounce, MACD Trend Strategy, and Bollinger Mean Reversion templates.

load template → run → export

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Python export engine

Exports standalone Backtrader scripts with embedded strategy config, data download, metrics, reports, and trades.

standalone .py · readable · reusable

📊

Backtrader results

See final value, return, drawdown, trades, win rate, Sharpe ratio, equity curve, and full trade table.

metrics · equity curve · trade log

158 TA-Lib indicators as condition operands

Use SMA, EMA, RSI, MACD, BBANDS, ATR, STOCH, ADX, OBV, CCI, AROON, WILLR, SAR, TRIX, MFI, and many more. Combine indicators with prices or fixed values using comparisons, ranges, crossovers, and trend checks.

Overlap · Momentum · Volatility · Volume · Cycle · Pattern Recognition · Statistics

Code preview

Exports are real Python files.

Exported scripts do not require StrategyLab to run. Each strategy can be edited, reused, shared, or sold as part of a separate code pack.

rsi_oversold_bounce_backtest.py

StrategyLab export

"""
StrategyLab Desktop exported Backtrader script.
Strategy : RSI Oversold Bounce
Entry    : RSI(14) < 30 and Close > EMA(200)
Exit     : RSI(14) > 70
Risk     : 95% cash, trailing stop 5%
"""

import backtrader as bt
import yfinance as yf
from talib import abstract

STRATEGY = {"name": "RSI Oversold Bounce", "data": {"symbol": "SPY"}}

class JsonStrategy(bt.Strategy):
    def next(self):
        if not self.position and self._entry_is_true():
            self.buy(size=self._position_size())

if __name__ == "__main__":
    main()  # prints metrics, saves report, exports trades

One-time package

Buy once. Download the package.

No monthly plan and no online account. You get the StrategyLab Desktop ZIP package, run it locally, and keep the source files.

$29

one-time
digital download

StrategyLab Desktop local app package
Full Python source included
158 TA-Lib indicators in the builder
4 built-in strategy templates
Backtrader backtesting engine
Python script export with no StrategyLab dependency
HTML report, equity curve, and trade log downloads
Setup guide for Python dependencies and TA-Lib

Buy StrategyLab

Secure one-time purchase · Instant digital download · Local Python package

Instant ZIP delivery

After checkout, download the complete StrategyLab Desktop package and run it locally on your machine.

Complete source package

Includes the app files, source code, requirements file, built-in strategy templates, and setup instructions.

Commercial use included

Use StrategyLab to create standalone Backtrader scripts for your own research, client work, or digital code packs.

No lock-in exports

Exported scripts are normal Python files. They can be opened, edited, versioned, and run outside StrategyLab.

FAQ

Quick answers before you buy.

StrategyLab Desktop is sold as a downloadable local package. These answers explain what you receive and how it runs.

Is this a web app?

No. StrategyLab Desktop is a downloadable local package. You run it on your own computer with Python.

Does it require coding?

The builder itself is no-code. Python is only needed to install and run the app locally, and the exported scripts are editable Python files.

Can the exported scripts run without StrategyLab?

Yes. The export is designed as a standalone Python Backtrader script with the strategy configuration embedded.

Can I sell scripts generated with it?

Yes. You can use StrategyLab to create standalone scripts for your own research, client projects, or sellable code packs.

What dependencies are needed?

Python 3.10+ and the packages listed in requirements.txt. The package includes setup notes for the Python dependencies and TA-Lib.

Are the example returns guaranteed?

No. Screenshots and numbers are examples from backtests. They are not financial advice and do not guarantee future performance.

Download package

Start building Backtrader strategy scripts today.

Buy StrategyLab Desktop once, download the ZIP package, run it locally, and export as many strategy scripts as you want.

Get StrategyLab