Forex-and-Stock-Python-Trade-Model

Unverified ML strategy on Forex by Okrugnosti. BotFinder score 18 out of 100.

Trend trading model in the financial market using machine learning algorithms. The machine learning algorithm predicts the result of the transaction of the base trading model and p

Source: github

Explorer/Forex/Forex-and-Stock-Python-Trade-Model
18
Data index
ForexMLMedium risk⚠ Unverified

Forex-and-Stock-Python-Trade-Model

OkrugnostiGitHub
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Net return
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Max drawdown
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Profit factor
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Win rate
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Track record
6.8y
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About

Forex-and-Stock-Python-Trade-Model

Структура каталога ├── LICENSE ├── Makefile requirements.txt │ ├── src <- Source code for use in this project. │ ├── init.py <- Makes src a Python module │ │ │ ├── data <- Scripts to download or generate data │ │ └── makedataset.py │ │ │ ├── features <- Scripts to turn raw data into features for modeling │ │ └── buildfeatures.py │ │ │ ├── models <- Scripts to train models and then use trained models to make │ │ │ predictions │ │ ├── predictmodel.py │ │ └── trainmodel.py │ │ │ └── visualization <- Scripts to create exploratory and results oriented visualizations │ └── visualize.py │ └── tox.ini <- tox file with settings for running tox; see tox.testrun.org Настройка окружения: 1) pip install -r requirements.txt 2) pip install -r requirements.txt --find-links=wheels --no-index

HTMLGPL-3.0Open-sourcealgorithmicalgoritmic-tradingdata-analysisexchangefinance-derivativesforex-tradinginvestment-strategiesmachine-learning
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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Prop-firm compatibility

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Source
Okrugnosti
Since 2017 · 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
Stars13
Forks6
Open issues0
LanguageHTML
LicenseGPL-3.0
Last update2025-02-13
Created2019-12-25
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