analysis-sharing
Unverified Market-making strategy on Crypto by crypto-lake. BotFinder score 18 out of 100.
Sharing quantitative analyses on Crypto Lake data
Source: github
BotFinder analysis pending.
analysis-sharing
Analysis sharing Sharing crypto-related quantitative analyses on our historical market data, which are distinctive by including also the order book data. This repository is curated and reviewed by Jan Skoda, an experienced quant and former Head of Research of an equity prop-trading company, who is also running a Market Maker's blog. 1. Hummingbot analysis In the first notebook, we analyze Hummingbot market-making strategy on a combination of trade and level1 order book data. In a very simple simulation, we can experiment with the profitability of variants of this strategy on historical data. This is intended as a basis for your own analysis, not as a direct basis for trading. We estimate that with this data-driven backtesting approach, you can prevent a trading loss of >=10% of your open order nominal monthly even with a pretty simple analysis compared to the usual 'run the bot, check results after some time, tune parameters, repeat' approach. And you save a lot of time. Note that this effect can be much bigger on volatile low-volume coins. -> Open the notebook in nbviewer 2. Explora
⚠ No verified equity curve — no track-record source connected.
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How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
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Alerts on changes: coming soon
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Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)