SRS2021

Unverified Other strategy on Crypto by SciEcon. BotFinder score 18 out of 100.

A Data Science pipeline for Algorithmic Trading: A comparative study in applications to Finance and cryptoeconomics

Source: github

Explorer/Crypto/SRS2021
18
Data index
CryptoMedium risk⚠ Unverified

SRS2021

SciEconGitHub
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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
—
Track record
4.7y
BotFinder Analysis

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About

SRS2021

A Data Science pipeline for Algorithmic Trading: A comparative study in applications to Finance and cryptoeconomics working paper on arXiv: https://arxiv.org/abs/2206.14932# Supplementary resources, data, and code by Luyao Zhang\ + , Tianyu Wu + , Saad Lahrichi + ,Carlos-Gustavo Salas-Flores, Jiayi Li \: the corresponding author + : joint first authors Table of Contents | Folder | URL | |:------------|:---------| | Code| https://github.com/SciEcon/SRS2021/tree/main/Code| | Data| https://github.com/SciEcon/SRS2021/tree/main/Data | |code | https://github.com/SciEcon/SoKBlockchainDecentralization/tree/main/code | |fig|https://github.com/SciEcon/SRS2021/tree/main/fig | |More about the paper (Appendix)|https://github.com/SciEcon/SRS2021/tree/main/More%20about%20the%20paper|

MITOpen-sourceautomatedcryptocurrencycryptocurrency-exchangesdata-sciencedata-science-pipelinesdata-visualizationtrading-algorithmstrading-bot
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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Historical evolution

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Alerts on changes: coming soon

Prop-firm compatibility

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Source
SciEcon
Since 2018 · 1 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
Stars14
Forks9
Open issues0
Language—
LicenseMIT
Last update2022-07-01
Created2022-02-05
Website
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SRS2021 by SciEcon — Unverified | BotFinder