goldstar111

goldstar111

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goldstar111's repositories

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Advanced-Cpp-And-Modern-Design

My solutions to the "Advanced C++ and Modern Design" course offered by Baruch College.

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aws-sa-associate-saac02

Course Files for AWS Certified Solutions Architect Certification Course (SAAC02) - Adrian Cantrill

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cookstock

Mark Minervini's volatility contraction pattern detection, stage 2 template searching

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EnbPI

Code for ICML 2021 Oral Paper: Conformal Prediction Interval for Dynamic Time-Series AND the extended version under review by the Journal of Machine Learning Research

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EPI-to-LC

Mappings of problems from the book Elements of Programming Interviews (EPI) to Leetcode

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fractal-interpolation

Analysis of Fractal Interpolation Functions for Large Datasets

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gann-swing

Python module to calculate Gann swings

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gasoline-trading

System for trading RBOB Gasoline futures contracts based on CFTC data.

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High-Frequency-Trading-Model-with-IB

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

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ib_insync

Python sync/async framework for Interactive Brokers API

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jumpdiff

JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python

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magic-trace

Easy Intel Processor Trace Visualizer

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MambaStock

MambaStock: Selective state space model for stock prediction

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MFDFA

Multifractal Detrended Fluctuation Analysis in Python

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Multifractality

Multi-Fractal Detrended Fluctuation Analysis (MFDFA) for fractal and long-range correlation analysis of time series

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notebooks

Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.

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pykan

Kolmogorov Arnold Networks

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qdownload

IQFeed CSV market data download tool

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relative-strength

IBD Style Relative Strength Percentile Ranking of Stocks (i.e. 0-100 Score).

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RRGPy

RRGPy is a Python script for displaying Relative Rotation Graph.

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stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator.

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trade-frame

C++ 17 based library (with sample applications) for testing equities, futures, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. Some support for Alpaca & Phemex. Notifications via Telegram [irc: Libra #tradeframe ]

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Transformers_Are_What_You_Dont_Need

The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.

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vcp_screener.github.io

A program screens stocks following Mark Minervini's strategy.

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volgpt

Explores use of text-to-text LLMs for vol prediction, something normally done with number-to-number stochastic volatility model such as the MSM or Heston, with high frequency data. Implementation of nanoGPT, training on high-frequency tick data for JPM and AAPL.

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