renko_trend_following_strategy_catalyst

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

Example of adaptive trend following strategy based on Renko

Source: github

Explorer/Multi/renko_trend_following_strategy_catalyst
18
Data index
MultiMLMedium risk⚠ Unverified

renko_trend_following_strategy_catalyst

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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

renko_trend_following_strategy_catalyst

renkotrendfollowingstrategycatalyst Example of adaptive trend following strategy based on Renko. This article describes the strategy https://medium.com/@sermal/adaptive-trend-following-trading-strategy-based-on-renko-9248bf83554 Article about optimizer script https://towardsdatascience.com/bayesian-optimization-in-trading-77202ffed530 This strategy uses Catalyst framework for backtesting https://enigma.co/catalyst/beginner-tutorial.html Project contains: renkotrendfollowing.py - main file. You should execute this file by python in Catalyst environment. perfTradingPair(452516 [ethbtc]).csv - you get this file when the main script is executed. The file contains basic stats of performance. perfanalysispyfolio.ipynb - this ipython-notebook carries out an advanced analytics using csv-file. pyrenko.py - necessary file to analysis. You can find the latest version here https://github.com/quantroom-pro/pyrenko

Jupyter NotebookOpen-sourcecatalystmachine-learningpythonpython3statisticstradingtrading-algorithmstrading-strategies
Track record

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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
Stars126
Forks47
Open issues0
LanguageJupyter Notebook
License—
Last update2019-06-18
Created2018-11-15
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