sunnycqcn's repositories
LTSM-Stock-Predictor
Predicting different stock prices using Long Short-Term Memory Recurrent Neural Network in Python using TensorFlow 2 and Keras.
Stock-Predictor-V4
A Deep RL model for stock prediction with reward mechanisms.
Stock-Price-Prediction-using-LSTM-and-Technical-Indicators
In this Jupyter Notebook, I've used LSTM RNN with Technical Indicators namely Simple Moving Average (SMA), Exponential Moving Average (EMA), Moving Average Convergence Divergence (MACD), and Bollinger Bands to predict the price of Bank Nifty.
Stock_Analysis_For_Quant
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
stock_movement_prediction
Predictive Model for Future Stock Price Movement using TensorFlow and Keras
Annotate_CobraGenome
Demonstration for annotating large snake genome
chan.py
开放式的缠论python实现框架,支持形态学/动力学买卖点分析计算,多级别K线联立,区间套策略,可视化绘图,多种数据接入,策略开发,交易系统对接;
chanlun-pro
基于缠中说禅所讲缠论理论,以便量化分析市场行情的工具
ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文总结+润色+审稿+审稿回复
Enrichment-Analysis
R codes I uam using for getting from RNA-seq raw count to Pathways
gex_dashboard
Visualize Gamma Exposure for SPX
gex_data
API to retrieve SPX option data from CBOE and calculate the gamma exposure
gflows
View the exposures of four option greeks—delta, gamma, vanna, and charm—for stocks & indexes
NextPolish
Fast and accurately polish the genome generated by long reads.
pb-assembly
PacBio Assembly Tool Suite: Reads in ⇨ Assembly out
PhasedDiploidGenomeAssemblyPipeline
Using de-novo assembly and read-phasing to assemble reference-free diploid genomes
racon
Ultrafast consensus module for raw de novo genome assembly of long uncorrected reads. http://genome.cshlp.org/content/early/2017/01/18/gr.214270.116 Note: This was the original repository which will no longer be officially maintained. Please use the new official repository here:
smsk_popoolation
Snakemake pipeline for Popoolation and Popoolation2
Training-modules
Materials for short, half-day workshops