XJ-Strategist
Unverified ML strategy on Multi by XilinJia. BotFinder score 18 out of 100.
A powerful machine learning and AI system for constructing sustainable strategies for financial trading.
Source: github
BotFinder analysis pending.
XJ-Strategist
What it is This is a powerful machine learning system that's been developed, used and perfected in the past 10 years for constructing and validating financial trading strategies (long/short). It uses purely proprietary specialized algorithms that 1) requires minimal system resources and training data, 2) is capable of automatic construction of sustainable trading strategies, and 3) is applicable to various instruments. Unlike most other machine learning practices that aim to obtain the "best" strategy only ending up losing in real trades, this system aims to construct strategies that remains valid for trades in the foreseeable future. Applications It handles trades with entries (long or short) on daily open or close, holding for various number of days, and exit on daily open or close. It's been tested to work well on cryptos, ETF's, indices, commodities, and futures. The way it's used To study on a financial instrument, one first needs to get the daily historical data in CSV format with the following columns: Open, Low, High, Close. If it's a futures instrument, then the contracts ne
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Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
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Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)