@guxiaochun888: Today, I made a decision that defies my ancestors by completely open-sourcing my profitable code. I will research and open-source more strategies in the future. https://qtrader.cc You can see my open-sourced strategies in the strategy market. #DailyCompounding #Quant #qtrader
Summary
The user is open-sourcing their profitable quantitative trading code and introducing the QTrader platform, which offers strategy management, backtesting, and simulated trading features.
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Today I made a decision that goes against tradition: I’ve completely open-sourced my profitable code. I will continue to research and open-source more strategies. https://t.co/q4AeySmkeU You can see my open-sourced strategies in the strategy marketplace #DailyCompound #QuantTrading #qtrader https://t.co/vuGm6PCTou
QTrader - Quantitative Trading Workbench
Source: https://qtrader.cc/ QTrader helps you consolidate strategies, data, backtesting, paper trading, and logs in one place. Validate first, then decide whether to proceed.
Product Capabilities
You can integrate market data in QTrader, organize Python strategies and parameters, review backtesting reports, and observe order, position, and log performance via paper trading.
Who It’s For
QTrader is suitable for individual traders with existing strategy ideas, small quant teams, and those currently managing strategies via scripts, spreadsheets, and logs. The platform does not predict market movements or guarantee returns.
Core Features
- Market Data – Manage research baselines by exchange, trading pair, timeframe, and sample period.
- Strategy Management – Centrally maintain strategy code, parameter templates, trading pairs, and version records.
- Backtesting Analysis – Review performance curves, maximum drawdown, win rates, trade details, and cost assumptions.
- Factor Research – Validate indicators, filters, and combination logic.
- Paper Trading – Observe order behavior, position changes, and risk parameters before connecting to real accounts.
- Runtime Monitoring – Continuously track container status, logs, exceptions, and historical records.
- Account Permissions – Grant access to exchange credentials per user and strategy.
Getting Started
Register to use the free version first, familiarizing yourself with the full workflow, including strategy research, historical backtesting, and simulated trading. Once the process runs smoothly, upgrade your plan based on strategy count, concurrent runs, and data requirements.
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