Machine-Learning-and-AI-in-Trading

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

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

Source: github

Explorer/Crypto/Machine-Learning-and-AI-in-Trading
18
Data index
CryptoMLMedium risk⚠ Unverified

Machine-Learning-and-AI-in-Trading

PyPatelGitHub
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
9.2y
BotFinder Analysis

BotFinder analysis pending.

About

Machine-Learning-and-AI-in-Trading

Machine-Learning-and-AI-in-Trading Here is some of codes generated in Python using Machine Learning and AI for generating prediction in Stock Prices. Packages Used: Talib Scikit Learn TensorFlow Keras Pandas Numpy and numexpr (Faster Numpy for better performance) Visualisation tools like Seaborn and Matplotlib Still Working... Will keep on updating... LSTMs have gave me promosing results and now I am exploring advance LSTM like MD-LSTM and MiD-LSTM for better prediction and more feature inclusion. Here is result one of my project done for Sentiment Analysis on News and LSTM with RNN. Below is Prediction for NASDAQ using our model. Price is scaled to 1. Trained the model for past 2 years and predicted the results for 200 days in the future. Help & Motivate my work by little generosity: My Work and Profile PS: These are my own codes which are stricktly experimental. This does not represent firms views. Use these codes at your own risks.

PythonOpen-sourceaiartificial-intelligenceartificial-neural-networksbitcoinfinancemachine-learningmachine-learning-algorithmsprediction
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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Live monitoring

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Alerts on changes: coming soon

Prop-firm compatibility

Prop-firm compatibility not provided.

Source
PyPatel
Since 2016 · 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
Stars430
Forks129
Open issues3
LanguagePython
License—
Last update2019-10-29
Created2017-08-30
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