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Paul Denisevich's Projects

frequi icon frequi

Freqtrade UI - Frontend for Freqtrade

pytube icon pytube

A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.

td-ameritrade-api icon td-ameritrade-api

The unofficial Python API client library for TD Ameritrade. This library allows for easy access of the Standard REST API and Streaming API.

trading-algotrading icon trading-algotrading

This is complete algo trading package is for downloading historical OHLC data for backtesting and performing live trading on Interactive Brokers. For learning step by step procedure to recreate this is also included. OHLC data for backtesting and performing live trading on interactive brokers.

trading-alpaca-ts icon trading-alpaca-ts

A TypeScript Node.js library for the https://alpaca.markets REST API and WebSocket streams.

trading-brick-trader icon trading-brick-trader

A web-based trading strategy builder that allows you to build your own trading strategy with blocks, and we also provides a backtesting tool to test your strategy.

trading-brick-trader-frontend icon trading-brick-trader-frontend

A web-based trading strategy builder that allows you to build your own trading strategy with blocks, and we also provides a backtesting tool to test your strategy.

trading-indicators icon trading-indicators

Technical indicators for cryptocurrencies, stocks and forex. To work with historical and real price data. One of the most efficient Javascript library implementations. The library has such indicators as: Relative Strength Index (RSI), Moving Average C / D (MACD), Average Directional Index (ADX), Stochastic Oscillator, Bollinger Bands, Average True

trading-indicatorts icon trading-indicatorts

IndicatorTS - Stock technical indicators and strategies in TypeScript for browser and server programs.

trading-ocignis-fe icon trading-ocignis-fe

Minimal trading bot to easily run, stop or schedule trading strategies. Built with TypeScript, React and Material UI.

trading-papersperweek icon trading-papersperweek

This is a project related to my personal development in ML. Every week I intend to read a published paper and dissect the underlying principles and code.

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