pairs_trading_cryptocurrencies_strategy_catalyst

Unverified ML strategy on Crypto by lamres. BotFinder score 18 out of 100.

Pairs trading strategy example based on Catalyst

Source: github

Explorer/Crypto/pairs_trading_cryptocurrencies_strategy_catalyst
18
Data index
CryptoMLMedium risk⚠ Unverified

pairs_trading_cryptocurrencies_strategy_catalyst

lamresGitHub
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Net return
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Max drawdown
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Sharpe
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Profit factor
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Win rate
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Track record
7.9y
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About

pairs_trading_cryptocurrencies_strategy_catalyst

pairstradingcryptocurrenciesstrategycatalyst Pairs trading strategy example based on Catalyst. This article describes the strategy https://towardsdatascience.com/pairs-trading-with-cryptocurrencies-e79b4a00b015 This strategy uses Catalyst framework for backtesting https://enigma.co/catalyst/beginner-tutorial.html Project contains: pairstradingcryptocurrenciesstrategycatalyst.py - main file. You should execute this file by python in Catalyst environment. cointegrationanalysiscryptocurrencies.ipynb - this ipython-notebook carries out a cointegration test analysis.

Jupyter NotebookOpen-sourcecryptocurrenciescryptocurrency-exchangesdata-sciencepythonpython-3statisticstime-seriestrading-algorithms
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
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Capital-backed
Tamper-proof
Historical evolution

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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

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Source
lamres
Since 2011 · 3 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars49
Forks27
Open issues0
LanguageJupyter Notebook
License—
Last update2018-12-04
Created2018-12-04
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