Developing Trading Bots: From Idea to Monetization on JT-Lab​

[JTLab]

Hello, my name is Alexander, and I am the founder of the JT-Lab project.
JT-Lab is an ecosystem that connects developers and traders, enabling them to create, test, and monetize trading bots.


If you're a developer interested in algorithmic strategies and automated trading, our platform might be the perfect fit for you. JT-Lab provides a comprehensive set of tools for developing and deploying trading algorithms.


On JT-Lab, you can:
✅ Develop trading bots using our in-house library, JT-Lib.
✅ Test strategies on historical data with the Strategy Tester.
✅ Deploy and manage bots with JT-Trader.
✅ Sell trading bots through JT-Store.


The platform supports integration with major cryptocurrency exchanges.



JT-Lib: A Library for Bot Development

JT-Lib is an open-source library designed for building trading bots, providing seamless interaction with exchanges and easy strategy implementation. It offers:


✅ Strict typing using TypeScript to minimize errors.
✅ Flexible order management for precise control.
✅ A trigger and event system to react to market changes.
✅ Data storage to retain bot states between restarts.
✅ A reporting system for real-time performance analysis.
✅ Built-in indicators and candlestick processing.


Key Components of JT-Lib:

🔹 OrdersBasket


Manages exchange orders.
Supports order filtering by strategy.
Implements Stop-Loss and Take-Profit mechanisms.
Provides server-side trigger orders not available on the exchange.

🔹 Triggers


Automatically reacts to price changes, time conditions, or new orders.
Simplifies complex algorithmic strategies.

🔹 Events


Responds to:
New orders.
Candlestick changes.
Incoming trades.
Ideal for multi-currency and event-driven strategies.

🔹 Storage


Saves bot data between restarts.
Restores the last known state upon strategy launch.

🔹 Report


Built-in reporting system.
Displays data in cards, tables, and charts.
Useful for debugging and analyzing live bots.

🔹 Indicators


Provides indicator and candlestick buffer functionality.
Supports custom indicators across multiple timeframes.

With JT-Lib, developers can focus on strategy creation without worrying about low-level exchange interactions. Best Practice | Documentation JT-Lab



Strategy Tester: Backtesting Trading Strategies

The Strategy Tester is designed to assess the effectiveness of trading algorithms under different market conditions. It helps analyze performance, validate strategies, and identify strengths and weaknesses.


🔹 Historical data analysis to evaluate strategies.
🔹 Performance metrics such as profitability, drawdown, and recovery factor.
🔹 Multi-asset testing to assess strategies across various markets.
🔹 Market factor adjustments, considering volatility, liquidity, and fees.
🔹 Order execution modeling, accounting for slippage and delays.



JT-Trader: Trading Bot Management System

JT-Trader is a platform for deploying, monitoring, and managing trading bots with real-time exchange integration.


🔹 Centralized bot management – control multiple strategies across exchanges.
🔹 Interactive interface – start, stop, and modify bot parameters effortlessly.
🔹 Real-time monitoring – track trades, profits, losses, and other key metrics.
🔹 Flexible parameter settings – adjust strategies without rewriting code.
🔹 Automated reporting – generate detailed analytics on bot performance.
🔹 Multi-exchange support – streamline operations across popular platforms.
🔹 Logging & debugging tools – analyze bot behavior and detect potential issues.


Developers can use custom strategies or adapt ready-made solutions from JT-Store to fit their trading needs.



JT-Store: Monetizing Trading Algorithms

JT-Store is a marketplace where developers and experienced traders can sell their strategies.


🔹 Transparent ratings & reviews to help users find reliable bots.
🔹 Trial periods so traders can test bots before purchasing.
🔹 Affiliate programs & promo listings to accelerate monetization.


This allows developers not only to build trading solutions but also to profit from them.



Why Join JT-Lab?

If you're an algorithmic trading developer, JT-Lab offers:


✅ A complete environment for bot development, testing, and deployment.
✅ Flexible development in TypeScript.
✅ Advanced optimization & analytics tools.
✅ Monetization opportunities for your bots.
✅ A community of like-minded traders & developers.


Join JT-Lab and build the best algorithmic trading strategies with us! 🚀 zz0.ohw7px8h7ag zz

[JTLab]

What is JT-Trader?


JT-Trader is an open-source platform designed to automate cryptocurrency trading. At its core lies JT-Lib, a library that powers the development, testing, and deployment of trading strategies on real exchanges.

In practice, JT-Trader is a full-featured tool for algorithmic trading:

• Developers can build their own strategies in TypeScript.
• Traders can use ready-made bots via a user-friendly web interface.
• The built-in strategy tester allows you to check whether your algorithm is viable before going live.

How Trading Bots Are Created


Bot development in JT-Trader revolves around the Script class, which extends BaseScript. This class defines all the key lifecycle methods: initialization, data processing, order management, and shutdown.

Bot parameters are defined in static definedArgs. These may include:

• position size;
• stop-loss and take-profit levels;
• indicator periods;
• trading pairs, etc.

This approach makes it possible to adjust settings directly from the interface without rewriting code.

Before running a bot in real trading, every strategy can (and should) be backtested — a crucial step for finding effective parameters and avoiding costly mistakes. Bot Lifecycle


Every trading script in JT-Trader follows a clear lifecycle:

• onInit() — load parameters, connect indicators, initialize orders.
• onTick() — process live market data and make decisions.
• onOrderChange() — react to order executions and status changes.
• onStop() — safely shut down and release resources.

Example: A Simple RSI Strategy
Below is a code snippet showing a trading bot based on the RSI indicator, with automatic stop-loss and take-profit handling:
[PHP]class Script extends BaseScript {
static definedArgs = [
{ key: 'symbols', defaultValue: 'BTC/USDT:USDT' },
{ key: 'sizeUsd', defaultValue: 100 },
{ key: 'slPercent', defaultValue: 2 },
{ key: 'tpPercent', defaultValue: 4 }
];

private basket: OrdersBasket;
private rsi: RelativeStrengt hIndex;

async onInit() {
this.basket = new OrdersBasket({ symbol: this.symbols[0], connectionName: this.connection Name });
await this.basket.ini t();
this.rsi = await globals.indicat ors.rsi(this.sy mbols[0], '1h', 14);
}

private async signal(): Promise<number> {
const rsiValue = this.rsi.getVal ue();
if (rsiValue < 30) return 1;
if (rsiValue > 70) return -1;
return 0;
}

async onTick() {
const currentPrice = close();
const signalValue = await this.signal();

if (signalValue === 1) {
const contracts = this.basket.get ContractsAmount (getArgNumber(' sizeUsd', 100), currentPrice);
const stopLoss = currentPrice * 0.98;
const takeProfit = currentPrice * 1.04;
await this.basket.buy Market(contract s, takeProfit, stopLoss);
}
}
}
[/PHP]

Strategy Testing
One of JT-Trader’s biggest strengths is its built-in strategy tester. It allows you to simulate trading strategies on historical data while accounting for commissions, spreads, and slippage.



You can configure:

• the testing period,
• initial balance,
• trading pairs,
• timeframes.

The tester outputs:

• equity curve charts,
• maximum drawdown,
• Sharpe ratio,
• trade statistics.

A standout feature is parameter optimization — JT-Trader can iterate through thousands of parameter combinations to find the most profitable ones.

Running Bots in Real Time
For live trading, JT-Trader uses the Runtime section of the web interface. Users simply select a strategy file, exchange connection, and trading pairs.


Once launched, the bot streams data via WebSocket, processes every tick, and places orders based on the strategy’s logic.

Key features include:

• adjusting parameters on the fly (without restarting),
• detailed statistics available in the interface,
• automatic recovery after errors or crashes.

Monitoring and Debugging


JT-Trader comes with a comprehensive logging and reporting system:

• all bot actions are logged,
• logs can be filtered by type and severity,
• Telegram alerts are available for critical issues or trade events.

For developers, there’s also a real-time debug system to inspect indicators, positions, and variables directly while the bot is running. This makes debugging and optimization much more efficient.
Conclusion


JT-Trader is a flexible and open platform for algorithmic crypto trading that combines:

• a straightforward strategy development process,
• built-in backtesting,
• safe 24/7 execution of trading bots,
• advanced monitoring and debugging tools.

It’s equally valuable for seasoned algo-traders and beginners taking their first steps in trading automation.

[JTLab]

What is JT-Trader?

https://github.com/jt-lab-com/jt-trader

JT-Trader is an open-source platform designed to automate cryptocurrency trading. At its core lies JT-Lib, a library that powers the development, testing, and deployment of trading strategies on real exchanges.

In practice, JT-Trader is a full-featured tool for algorithmic trading:

• Developers can build their own strategies in TypeScript.
• Traders can use ready-made bots via a user-friendly web interface.
• The built-in strategy tester allows you to check whether your algorithm is viable before going live.

How Trading Bots Are Created

Bot development in JT-Trader revolves around the Script class, which extends BaseScript. This class defines all the key lifecycle methods: initialization, data processing, order management, and shutdown.

Bot parameters are defined in static definedArgs. These may include:

• position size;
• stop-loss and take-profit levels;
• indicator periods;
• trading pairs, etc.

This approach makes it possible to adjust settings directly from the interface without rewriting code.

Before running a bot in real trading, every strategy can (and should) be backtested — a crucial step for finding effective parameters and avoiding costly mistakes. Bot Lifecycle


Every trading script in JT-Trader follows a clear lifecycle:

• onInit() — load parameters, connect indicators, initialize orders.
• onTick() — process live market data and make decisions.
• onOrderChange() — react to order executions and status changes.
• onStop() — safely shut down and release resources.

Strategy Testing
One of JT-Trader’s biggest strengths is its built-in strategy tester. It allows you to simulate trading strategies on historical data while accounting for commissions, spreads, and slippage.

You can configure:

• the testing period,
• initial balance,
• trading pairs,
• timeframes.

The tester outputs:

• equity curve charts,
• maximum drawdown,
• Sharpe ratio,
• trade statistics.

A standout feature is parameter optimization — JT-Trader can iterate through thousands of parameter combinations to find the most profitable ones.

Running Bots in Real Time
For live trading, JT-Trader uses the Runtime section of the web interface. Users simply select a strategy file, exchange connection, and trading pairs.

Once launched, the bot streams data via WebSocket, processes every tick, and places orders based on the strategy’s logic.

Key features include:

• adjusting parameters on the fly (without restarting),
• detailed statistics available in the interface,
• automatic recovery after errors or crashes.

Monitoring and Debugging


JT-Trader comes with a comprehensive logging and reporting system:

• all bot actions are logged,
• logs can be filtered by type and severity,
• Telegram alerts are available for critical issues or trade events.

For developers, there’s also a real-time debug system to inspect indicators, positions, and variables directly while the bot is running. This makes debugging and optimization much more efficient.
Conclusion


JT-Trader is a flexible and open platform for algorithmic crypto trading that combines:

• a straightforward strategy development process,
• built-in backtesting,
• safe 24/7 execution of trading bots,
• advanced monitoring and debugging tools.

It’s equally valuable for seasoned algo-traders and beginners taking their first steps in trading automation.

[JTLab]

We’ve completely revamped our documentation, making it much more user-friendly.
Now you’ll find:

🔻 a structured navigation menu across all sections;

🔻 faster access to the information you need;

🔻 a clean interface with logical structure;

🔻 new examples and extended function descriptions.

The documentation is no longer just a reference — it’s a full-featured tool for working with the platform.

📖 Check out the updated version here: https://docs.jt-lab.com/

[JTLab]

🚀 We’ve made working with JT-Trader even easier — meet the Launcher!

Launcher is the fastest and most convenient way to install JT-Trader.
It automatically downloads all the required components, configures the environment, and launches the application — so you can start trading right away.

🔑 Advantages of the Launcher:
✅ Automatic installation of all dependencies.
✅ Pre-configured environment setup.
✅ Automatic updates.
✅ Simple management interface.
✅ Built-in diagnostics for issues.
📖 The installation guide is as straightforward as possible and available here:
👉 Install via Launcher - JT-LAB Installation | JT-Lib & JT-Trader Documentation

[JTLab]

🚀 JT-Trader Update!

We’ve made strategy testing even closer to real trading:
🔹 tests in the tester now run synchronized with exchanges — all numbers match exactly what you’ll see on your live account;
🔹 commissions, spreads, contract sizes, as well as minimum and maximum values for opening positions are all taken into account.

⚡️ We’ve also simplified working with assets:
just list the coins separated by commas, and the system will automatically pair them with USDT and launch the multi-tester.

📈 Tests are now more accurate, and launching strategies is easier than ever!

👉 Try it yourself right now: https://jt-lab.com/en

#TradingBots

[JTLab]

🚀 JT-Trader Update!

We’ve made strategy testing even closer to real trading:
🔹 tests in the tester now run synchronized with exchanges — all numbers match exactly what you’ll see on your live account;
🔹 commissions, spreads, contract sizes, as well as minimum and maximum values for opening positions are all taken into account.

⚡️ We’ve also simplified working with assets:
just list the coins separated by commas, and the system will automatically pair them with USDT and launch the multi-tester.

📈 Tests are now more accurate, and launching strategies is easier than ever!

👉 Try it yourself right now: https://jt-lab.com/en

[crafter94]

it's very interesting. I'm looking for software development company for crypto. What do you think about this one ?