Algo-Trading

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

This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine le

Source: github

Explorer/Multi/Algo-Trading
18
Data index
MultiMLMedium risk⚠ Unverified

Algo-Trading

ManudecaraGitHub
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
6.3y
BotFinder Analysis

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About

Algo-Trading

Quant Finance Repository Hi everyone! This is my respository where I store all my code and research within Quantitative Finance with the programming languages: C++, R and Python. Some of the things you can find here are trading strategies, research and tutorials on topics such as algorithmic trading, market microstructure analysis and machine learning, amongst others. Below is a list explaining all the topics covered within the repository: Technical Analysis (TA) These are the documents starting with 'TA'. The files with those initials contain analysis of strategies and research done utilising some of the most poplar and powerful technical indicators. Fundamental Analysis (FA) Fundamental analysis is a method of measuring a security's intrinsic value by examining related economic and financial factors. Fundamental analysis involves studying anything that can affect the security's value, from macroeconomic factors such as the state of the economy and industry conditions to microeconomic factors like the effectiveness of the company's management. Files with the initials 'FA' will conta

RMITOpen-sourcealgorithmscppdata-analysisdeep-learningfundamental-analysishigh-frequency-tradingmachine-learningmarket-microstructure-analysis
Track record

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

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
Tamper-proof
Historical evolution

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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Alerts on changes: coming soon

Prop-firm compatibility

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Source
Manudecara
Since 2022 · 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
Stars150
Forks37
Open issues0
LanguageR
LicenseMIT
Last update2021-09-15
Created2020-07-07
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