Options-Trading-Strategies-in-Python

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

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

Source: github

Explorer/Options/Options-Trading-Strategies-in-Python
18
Data index
OptionsMLMedium risk⚠ Unverified

Options-Trading-Strategies-in-Python

PyPatelGitHub
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Net return
—
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
9.2y
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About

Options-Trading-Strategies-in-Python

Options-Trading-Strategies-in-Python I have Created code for Options Trading based on Various Trading Technical Indicators. 1. Volatility Index (VIX) based Strategy 2. Put / Call Ratio (PCR) based Strategy 3. Trading Index (TRIN) based Strategy 4. Turtle Trading based Strategy 5. Monte Carlo Option Pricing in C++ Still working on more advanced Strategies based on Black Scholes Merton Option Pricing. Next I will work on incorporating Time Series and Neural Networks (RNNs to be specific) to improve accuraacy (Decrease Standard Deviation from current models) and Perfomance. 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. Help & Motivate my work by little generosity: My Work and Profile

PythonOpen-sourceindicatorsmachine-learningmachine-learning-algorithmsoptions-tradingoptions-trading-strategiespythonpython3quantitative
Track record

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

Risk

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Evidence

Verification ledger

Live-audited
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Prop-firm compatibility

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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
Stars1,084
Forks253
Open issues6
LanguagePython
License—
Last update2024-04-22
Created2017-08-30
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