Daniel Law's starred repositories
greptimedb
Open-source, cloud-native, unified observability database for metrics, logs and traces, supporting SQL/PromQL/Streaming. Available on GreptimeCloud.
strategies
quantitative trading with Javascript, Python, C++, PineScript, Blockly, MyLanguage(麦语言)
FinMem-LLM-StockTrading
FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Microservices-Based-Algorithmic-Trading-System
MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning based algorithms.
twelvedata-python
Twelve Data Python Client - Financial data API & WebSocket
candlestick
Candlestick patterns detection.
DRQN_Stock_Trading
This is the code implementation of the paper "Financial Trading as a Game: A Deep Reinforcement Learning Approach".
Stock_Price_Prediction_With_RNNs
Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.
algorithmic-market-prediction
Implementation of Algorthmic Prediction of Candle Patterns
ohlc-resample
:candle: Resample (inter-convert) market trades, ticks or OHLCV data to different time frames.
neural-candlestick
A python backend to predict prices of candlesticks.
financial_data_manager
Data manager for capturing OHLCV each minute from the stock and crypto market. Building databases and managing processes.
Stock-Analysis
The essence of this project lies with the analysis of a stock as chosen by the ticker (the stock symbol of a company used to uniquely identify publicly traded shares in the stock market) provided. Based on our analysis we will decide whether the stock is bullish (stock outperforms, i.e., the prices rise consistently in the market) or bearish (stock under performs, i.e., the prices fall consistently in the market).