Search Results for "simulate"

This repository demonstrates how to build a simplified, automated hedge fund strategy powered by AI/ML. It integrates financial data collection, preprocessing, feature engineering, and predictive modeling to simulate decision-making in trading. The code shows workflows for pulling stock or market data, applying machine learning algorithms to forecast trends, and generating buy/sell/hold signals based on the predictions. Its structure is educational: intended more as a proof-of-concept than a ready-to-use financial product, giving learners insight into the mechanics of quantitative finance automation. ...

ai_quant_trade is an AI-powered, one-stop open-source platform for quantitative trading—ranging from learning and simulation to actual trading. It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use. Stock trading strategies: large models,...

AutoHedge is an AI-driven financial automation system designed to simulate and manage hedging strategies using intelligent agents. The project focuses on applying autonomous decision-making to financial risk management, allowing agents to analyze market conditions and adjust positions dynamically. It is built around the concept of algorithmic hedging, where strategies are executed programmatically rather than manually, enabling faster and more consistent responses to market changes. ...

This was an assignment when I finished learning to work with arrays with C language. It uses a 5D array to simulate a warehouse complex and uses various techniques to do some basic warehousing tasks like updating inventory, calculating the inventory value. It is fully modularized and uses C's random function to fill warehouse items with a conditioned random values.

TradingGym is a toolkit (in Python) for creating trading and backtesting environments, especially for reinforcement learning agents, but also for simpler rule-based algorithms. It follows a design inspired by OpenAI Gym, offering various environments, data formats (tick data and OHLC), and tools to simulate trading with costs, position limits, observation windows etc. Licensed under MIT. This training environment was originally designed for tickdata, but also supports OHLC data format. WIP. The list contains the feature columns to use in the trading status.

...Everything is configurable and pluggable. LEAN's highly modular foundation can easily be extended for your fund focus. Use combinations of margin, fill, and slippage models to simulate a liquidity endpoint. 100+ popular technical indicators built, tested, and ready for use. Applicable to any data source.

Open source simulator of loans. Loans depend on 3 data : the amount to borrow, the bank rate, the duration. But sometimes, you want to compute one of these data, knowing 2 of them only, plus the monthly payment. That's exactly what JbiLoan is made for! Moreover, this tool allows you to compute the full simulation of the loan, including the insurance rate and the bank expenses. And finally, it displays the real/effective rate and compares the loans together, so that you know exactly which...

Simulate business working capital cash flows by changing credit terms, customer payment behavior, credit limits and demand levels. Experience how cash flow problems can kill a business. V2 uploaded for OS X

A very simple Equity Investment Stragety Analyser tool. What it does : - Maintain Stock portfolios - Simulate Investment using NSE Historical bhav data files - Analyze different investment strategies against index performance - Graph the results

MGARCH is a software library for R-Project to simulate and estimate various MGARCH processes. This project also provides convenience tools for preparing data, summarizing and visualizing results, prediction and documentation.

TariffEye is a business intelligence software for analysis of banking tariff. It has a builder to construct and digitalize tariff and a reader to simulate portofolios for further analysis and forecasting of banking costs. May be adapted for other sectors

A small program in python developed to simulate poker bankroll growth over time depending on money and risk management strategies used. No GUI, user must edit parameters in source file. Outputs to .csv format.