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A less-common but existing and useful technique in algotrading is to "inflate" training dataset using AutoEncoders, Transformers etc. This is a double-edge sword as it's really easy to introduce false…
Silur updated
8 months ago
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Hi. First, thanks for this project! A couple of observations and I'm not sure if it's a memory leak or it's just how Optuna works:
1. study runs, OOM: I'm distributing optuna workers with ray (code…
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Hi Everyone,
I have a vested interest in increasing Koala's maintainability. My project FlyingKoala relies on Koala and I am trying to start a business off the back of it. Some of changes to Koala …
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Please post here if you would like to gain membership to the ethereumproject organization which manages the Ethereum Classic development (ETC). Please introduce yourself, tell us your skillset and how…
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The idea of integrating a algorithmic trading is cool, but we need to do research on some of the basics stuffs we can implement and what we are aiming for this feature. Google and plan for some sugges…
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## 🌟 Feature Description
## Motivation
There should be a backtest based on pure randomly generated data. The idea is that if the model can make profit over random data, it is overfitting.
See…
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I am running a remote development environment which connects from a windows 11 machine to a linux server (SLES12).
- Pylance version: 2023.7.20
- Python version: using anaconda to manage py3.9 envir…
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如果我用回以前futuqant 的module 的話則沒有問題
但用futu這個module 的話 他會顯示沒有OpenQuoteContext
`import futu as ft`
`quote_ctx = ft.OpenQuoteContext(host='127.0.0.1', port=11111)`
`print(quote_ctx.get_market_snapshot('H…
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Traceback (most recent call last):
File "C:\Users\algotrader\algotrade.py", line 29, in
api.start_websocket( order_update_callback=event_handler_feed_update,
File "C:\Users\code\algotrader…