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intelligent-trading-bot discussion
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Show HN: High-Frequency Trading and Market-Making Backtesting Tool with Examples
You could try a tool for trade signal generation based on machine learning and feature engineering:
https://github.com/asavinov/intelligent-trading-bot
It trains ML models based on historic data and custom features and then uses them to generate a kind of intelligent indicator between -1 and +1. This intelligent indicator is then used to make trade decisions. Frequency is a parameter and can very from 1 minute for crypto trading to 1 day for normal exchanges.
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TimeGPT-1
I agree that the conventional (numeric) forecasting can hardly benefit from the newest approaches like transformers and LLMs. I made such a conclusion while working on the intelligent trading bot [0] by experimenting with many ML algorithms. Yet, there exist some cases where transformers might provide significant advantages. They could be useful where the (numeric) forecasting is augmented with discrete event analysis and where sequences of events are important. Another use case is where certain patterns are important like those detected in technical analysis. Yet, for these cases much more data is needed.
[0] https://github.com/asavinov/intelligent-trading-bot Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
- intelligent-trading-bot: NEW Other Models - star count:567.0
- intelligent-trading-bot: NEW Other Models - star count:494.0
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A note from our sponsor - SaaSHub
www.saashub.com | 16 Jul 2025
Stats
asavinov/intelligent-trading-bot is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of intelligent-trading-bot is Python.
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