PairsTrading-Crypto
Unverified ML strategy on Crypto by eshan-kaul. BotFinder score 18 out of 100.
An emerging asset class, the recent surge of popularity in crypto markets has made cryptocurrencies an essential part of investment portfolios for retail and institutional investor
Source: github
BotFinder analysis pending.
PairsTrading-Crypto
PairsTrading-Crypto An emerging asset class, the recent surge of popularity in crypto markets has made cryptocurrencies an essential part of investment portfolios for retail and institutional investors. As prices for cryptocurrencies continue to break previous highs, the race is on for investors to develop a trading strategy that can take advantage of the high volatility and fluctuation that exists in the crypto markets. The pairs trading strategy is an example of a market-neutral strategy that attempts to take advantage of the mean reversion principle to eliminate inefficiencies between two highly correlated assets. In a market that is riddled with inefficiencies, the pairs trading strategy might be a highly effective and lucrative trading stagey for investors in crypto markets. To view the project as a notebook click on the .ipynb file as shown below.
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
Data unavailable — contact the owner.
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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⚠ No live verification account connected — ask for proof before buying.
Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)