NexusTradingForexBot
Enterprise-grade, high-frequency quantitative scalp trading engine for XAUUSD (Gold). Driven by PyTorch (TCN + Self-Attention), Smart…
What XERJ indexed
Selected work

“PostgreSQL health state for ai-providers and provisioning (…”. 11 files, 1,348 lines in frontend.
Licence
The repository
Checked by a person at the pinned commit.
The XERJ corpus
The author agreed by email on 2026-10-23. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
algorithmic-trading-quantitativeforexmt5mt5-strategypythonpytorch
Example questions
- How does NexusTradingForexBot implement algorithmic-trading-quantitative?
- What does frontend do in NexusTradingForexBot?
- Show the forex code in NexusTradingForexBot.
The prompt
Paste it into your AI agent. It clones Opselon/NexusTradingForexBot at the pinned commit and indexes it on your machine.
Search the GitHub repository Opselon/NexusTradingForexBot with XERJ (https://hub.xerj.org/corpus/opselon--nexustradingforexbot). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/Opselon/NexusTradingForexBot NexusTradingForexBot && git -C NexusTradingForexBot checkout 346e879c4e6c75c5f262b7b5f0203f73f6482edc 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./NexusTradingForexBot --url http://127.0.0.1:9200 --prefix nexustradingforexbot --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
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Selected work and consent: the XERJ registry.