tgadvisory's Stars
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
jlevy/the-art-of-command-line
Master the command line, in one page
gothinkster/realworld
"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more
vyperlang/vyper
Pythonic Smart Contract Language for the EVM
eth-brownie/brownie
A Python-based development and testing framework for smart contracts targeting the Ethereum Virtual Machine.
QuantEcon/QuantEcon.py
A community based Python library for quantitative economics
paco0x/amm-arbitrageur
An arbitrage bot between Uniswap AMMs
rsvp/fecon235
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
dedwards25/Python_Option_Pricing
An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options
Finance-Hub/FinanceHub
Resources for Quantitative Finance
Adamant-im/adamant-tradebot
Free self-hosted market-making software for cryptocurrency projects and exchanges. Makes trade volume, maintains spread and liquidity/depth, set price range, and builds live-like dynamic order book.
BowTiedDevil/degenbot
Python classes to aid rapid development of Uniswap V2 & V3 and Curve V1 arbitrage bots on EVM-compatible blockchains
hemansnation/Python-Roadmap
Python Roadmap. Learn Python programming as your first programming language. Python for Absolute Beginners, Non-Tech Professionals, 15+ Projects, 30 Topics, 500+ Practice Questions, with Data Structures & Algorithms
MarcosCarreira/DermanPapers
Notebooks that replicate original quantitative finance papers from Emanuel Derman
robcarver17/systematictradingexamples
Examples of code related to book www.systematictrading.org and blog qoppac.blogspot.com
QuantEcon/quantecon-notebooks-python
A Repository of Notebooks for the Python Lecture Site
QuantEcon/lecture-python.notebooks
Notebooks for https://python.quantecon.org
robcarver17/pysystemtrade_examples
Examples using pysystemtrade for my blog qoppac.blogspot.com
matthewgilbert/blp
Pythonic interface for Bloomberg Open API
uniflash/uniflash
A simple and decentralized protocol for flash loan. https://t.me/Uniflash
PaiViji/PythonFinance-PortfolioOptimization
Python for Portfolio Optimization: The Ascent! First working lessons to ascend the hilly terrain of Portfolio Optimization in seven strides (Lessons), beginning with the fundamentals (Lesson 1) and climbing slope after slope (Lessons 2-6), to reach the first peak of constrained portfolio optimization models (Lesson 7), amongst a range of peaks waiting beyond!
PaiViji/PythonFinance--Portfolio-Rebalancing-using-Metaheuristics
Rebalancing a portfolio with optimal buy/sell decisions using Metaheuristics
bsh98/vyper-flashloan
vyper implementation of an aave flash loan receiver
pradeephyd/shashankvemuri-Finance
PaiViji/PythonFinance--RiskBudgeted-Portfolio-Construction
Construction of optimal Risk-budgeted and leveraged long-short portfolios using a metaheuristic strategy.y
PaiViji/PythonFinance--Global-optimization-of-portfolios-a-rendezvous-with-VitaOptimum-Plus
Portfolio optimization problem models have typically adopted solvers such as SciPy in the Python arena, that employs traditional methods to obtain the optimal portfolios. However, despite their sophistication, traditional methods suffer from pitfalls that can stifle its ability to handle complex problem models or yield efficient solutions. Heuristic solvers inspired by nature or adopting artificial intelligence methods, have quite often risen to the occasion by yielding near-optimal or acceptable solutions to those complex problem models, which traditional methods found difficult to handle, or even yielding efficient or practically prudent solutions when compared to those obtained by traditional methods for less difficult models. VitaOptimum Plus is a Python based non-traditional solver, that employs cutting edge technologies of Artificial Intelligence, Evolutionary Computation, Swarm Intelligence and Advanced Statistics, to arrive at the global optimum. This post investigates the potential of the traditional and heuristic solvers viz., optimize of SciPy and Ccs of VitaOptimum Plus respectively, to solve the Sharpe Ratio based Portfolio Optimization model
rsarai/liquidity-pool
PaiViji/PythonFinance-Constrained-Bi-objective-Portfolio-Optimization-using-VitaOptimumPlus
Portfolio optimization problem models have typically adopted solvers such as SciPy in the Python arena, that employs traditional methods to obtain the optimal portfolios. However, despite their sophistication, traditional methods suffer from pitfalls that can stifle its ability to handle complex problem models or yield efficient solutions. Heuristic solvers inspired by nature or artificial intelligence based methods, have quite often risen to the occasion by yielding near-optimal or acceptable solutions to such complex problem models, which traditional methods found difficult to handle. Again, for the less difficult models, heuristic solvers have exhibited the potential to yield efficient or practically prudent solutions when compared to those obtained by traditional methods. VitaOptimum Plus is a Python based non-traditional solver, that employs cutting edge technologies of Artificial Intelligence, Evolutionary Computation, Swarm Intelligence and Advanced Statistics, to arrive at the global optimum. This post investigates the potential of the traditional and heuristic solvers viz., optimize of SciPy and Ccs of VitaOptimum Plus respectively, to solve a Bi-objective, constrained portfolio optimization problem.
shashankvemuri/shashankvemuri
Hey 👋!