MatrixTrak
Production-ready — $179 one-time

AlgoTrak — Professional Crypto Trading Bot

Production-grade crypto trading bot for Python developers and quantitative traders.

A production-grade algorithmic trading bot for Python developers and quantitative traders. 14 configurable strategies, 5 exchange integrations, full risk management module, 51-test suite, Docker deployment, and a 200-page platform guide. Full source code under MIT license — one-time purchase, no subscription.

Buy Now — $179All Products
MIT License|Full source code|One-time purchase|No subscription

14

Strategies

5

Exchanges

51

Tests

Multi-exchange5 exchanges
Risk managementSL/TP, circuit breaker
DeploymentDocker + systemd
AlgoTrak live dashboard — equity curve, trades table, strategy performance
The Hard Truth

Building a production trading bot from scratch takes 3–6 months

Exchange API quirks eat weeks of debugging time per exchange
WebSocket reconnection edge cases cause silent order failures
Rate-limit backpressure without proper handling = missed trades
Missing risk management = capital exposure with no guardrails
✓
The Better Way

Ship in hours, not months

AlgoTrak collapses the 6-month build cycle into a single afternoon. Drop in your API keys, pick your strategy, and run. 51-test suite, structured logging, risk management, circuit breakers, Docker deployment — every production edge case is already handled.

What You Receive

Full Python source code (MIT)
14 trading strategies
5 exchange integrations
Risk management module
Backtest + paper + live modes
Web dashboard
Telegram alerts
51-test pytest suite
Dockerfile + docker-compose
GitHub Actions CI pipeline
200-page platform guide (PDF)
Systemd service files

Typical Workflow

1

Configure

API keys, strategy selection, risk parameters

2

Backtest

Historical data + parameter sweep

3

Paper Trade

Live prices, simulated orders

4

Deploy

Docker, dashboard, Telegram alerts

Key Capabilities

Multi-Exchange Support

Single config line switches between Binance, Bybit, Kraken, KuCoin, OKX

Expected OutcomeDeploy on any exchange without rewriting adapter code
Real-World Use CaseStart on Binance testnet, move to Kraken production by changing one value in .env

Risk Management Module

Stop-loss, take-profit, trailing stops, drawdown circuit breaker. 3 position sizing methods: Fixed, Kelly, ATR Volatility

Expected OutcomeProtect capital with guardrails that execute automatically — no manual monitoring
Real-World Use CaseSet max drawdown to 15%. Bot auto-halts all trading on breach, sends Telegram alert

14 Trading Strategies

SMA Crossover, RSI, MACD, Bollinger Bands, VWAP, Fibonacci, Stochastic, ADX, Mean Reversion + multi-indicator combos. Every strategy independently configurable with parameter sweep

Expected OutcomeTest strategies against historical data, find what works for your market
Real-World Use CaseRun parameter sweep across 5 strategies on 6 months of BTC/USDT data in under 10 minutes

Production Deployment

Multi-stage Dockerfile, docker-compose, systemd service files, GitHub Actions CI, Grafana dashboards, structured JSON logging across all modules

Expected OutcomeGo from checkout to production in under an hour on any VPS
Real-World Use Casegit clone, docker-compose up -d, open dashboard at localhost:5000

Ideal Users

Trading Bot Operators

Deploy with 14 strategies, risk management, 5 exchanges. No need to build from scratch

Python Developers

Well-architected codebase across 8 hardening phases with real production patterns

Quantitative Developers

Focus on strategy iteration instead of exchange API quirks and reconnection logic

Technical Founders

Documented, tested, deployment-ready foundation for your trading product

$179

One-time purchase. No subscription. MIT license.

Buy Now — $179
LicenseMIT
Source CodeFull, unrestricted
UpdatesAll future versions
DeliveryInstant download
PlatformPython 3.11+
Last updated2026-06-10

Related Resources (6)

WebSocket Reconnection KitCrash Recovery Reconciliation KitBot reliability checklist: 20-point pre-flight for trading botsTimestamp drift runbook + logging schema

Frequently Asked Questions

Do I need to know Python?
Yes. This is a developer product. You should be comfortable reading and editing Python. The 200-page guide walks through everything, but Python knowledge is required.
Which exchange should I start with?
Binance. It has the most complete feature set and free testnet support for safe testing.
Is there support included?
No ongoing support is provided. The 200-page guide and in-code documentation cover setup, deployment, and troubleshooting in detail. The modular codebase is designed so any AI coding assistant can answer most customisation questions.
Does it work on Windows?
Development was done on Windows. Docker deployment is the recommended production setup on any OS.
Can I get a refund?
Due to the nature of digital source code delivery, all sales are final. A free backtesting toolkit is available on GitHub so you can make an informed decision before purchasing.
Is there a free trial?
Yes — the free AlgoTrak Backtest Lab on GitHub includes 5 strategies, a full backtesting engine, and interactive notebooks. It won't connect to exchanges or trade live, but it will teach you the fundamentals.
How do updates work?
You get access to all updates. When a new version ships, you'll receive an email with the download link. Since you own the source, you can integrate updates into your modified codebase however you like.

What Developers Say

“I've been running trading bots for two years and this is the first time I actually understand what -1021 means. The error lookup tool turned a 30-minute debugging session into 30 seconds.”

Marcus T.

Independent Crypto Trader

“The timestamp drift checker caught an issue we'd been blaming on exchange problems for weeks. Turned out our NTP config was wrong — 10 minutes to diagnose what we'd been fighting for a month.”

Jordan S.

DevOps Lead, Crypto Trading Firm

“Finally someone who writes about .NET resilience without glossing over the hard parts. The depth in these articles is what made me confident enough to refactor our retry logic.”

Priya K.

Software Engineer, Enterprise SaaS