Welcome to Praxsor Docs
About this documentation
Welcome to Praxsor’s docs. Here we cover Praxsor’s core features, usage flow, and how to use the system. For more hands-on steps and UI, explore the product itself.
What is Praxsor?
Praxsor is a self-hosted quantitative trading platform. We handle deployment for you; you get a dedicated server and full control—all data and assets stay in your environment, secure and under your control. You can use the visual UI or the AI Agent to build strategies, run backtests, trade live, and tune and optimize—all in one flow.
The built-in AI Agent helps you look up strategies, run backtests, analyze performance, and answer trading and general questions; it can also optimize or adjust strategies from data, so beginners can get started easily and experienced traders can work more efficiently.
How to use it
After you purchase, we deploy for you and send the access URL and server details by email; the server and system are yours alone. Once you have the email you can use the system: set up exchange, AI, and notification connections, then create strategies, run backtests, and start trading bots. Below is what to do step by step.
Keys and other sensitive config are stored encrypted; to change them, delete the existing config and set it again.
Step 1: Setup
After these three setups you can use strategies, backtest, and trading normally.
- Exchange connection: Only needed for live trading. In Exchange Config add the exchange and configure API, and set the pairs to trade in the system; AI Config and Notification Config are optional.
- AI Config: Configure what AI Agent needs so you can use chat to look up strategies, run backtests, analyze performance, etc.
- Notification Config: In Notification Config configure alert and notification channels (e.g. Telegram, email) so you get trading and risk alerts.
Step 2: Operate
After setup, follow this order: create strategy → backtest → Paper Trading → live trading.
- Create a strategy: in the Strategy Library, pick a template or configure buy / long & sell / short conditions and indicator parameters from scratch. See Strategy Basics and 5-minute quick start.
- Run a backtest: create a backtest task (pick exchange, spot / futures, time range), add pairs to the task, and configure timeframe, initial capital, strategy, and execution config per pair; once launched, review return, win rate, max drawdown, and other metrics. See Run Backtest, Create Backtest, Result Analysis.
- Paper Trading: create a trading bot and pick Paper Trading to run with virtual capital under live market conditions for a while. See Paper Trading.
- Live Trading: once paper passes, switch the trading bot to Live Trading and use real capital. See Live Trading (workflow), Live Trading, Risk Management.
Step 3: Adjust
Right after a backtest you can start tuning: review K-line charts and individual entries / exits, tweak parameters, and re-run backtests until satisfied before going to paper or live. While running, keep an eye on Trade Statistics and strategy performance and use Monitor to review and optimize; you can also ask the AI Agent at any time to analyze performance, interpret data, suggest changes, or directly modify the strategy.
Recommended reading order
Follow "Setup → Operate → Adjust"; use the left nav to jump by module.
Getting started
Introduction for positioning and usage flow, Feature overview for what each module does, 5-minute quick start to run through strategy → backtest once.
Setup
Exchange Config (required before live); AI Config, Notification Config (alerts and notifications).
Operate
The left nav is grouped by module; jump as needed.