CDA:计算数据分析（ML1）项目资源-CSDN文库

共76个文件

png：23个

py：18个

csv：12个

JupyterNotebook

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package

CDA-main.zip （76个子文件）

folder

CDA-main

.gitignore 2KB

folder

fund_indicators

README.md 4KB

edgar_xbrl.ipynb 428KB

diluted eps.png 26KB

folder

sp500

sp500.ipynb 69KB

folder

articles

101_Formulaic_Alphas.pdf 239KB

folder

tech_indicators

folder

ML4T_P6

TheoreticallyOptimalStrategy.py 4KB

MACD.png 41KB

MFI.png 41KB

indicators.py 16KB

WilliamsR.png 50KB

report.docx 355KB

BBP.png 50KB

util.py 6KB

optimal.png 30KB

README.txt 2KB

CDB_vectorize_me.pptx 2.21MB

SPY_JPM.png 53KB

RSI.png 42KB

marketsimcode.py 8KB

testproject.py 4KB

report.pdf 501KB

Charting School.pdf 15.79MB

folder

stockie

folder

data

actual_40.csv 31KB

stocks202002.csv 104KB

actual_30.csv 76KB

full_possible_trades.csv 2.92MB

actual_20.csv 84KB

ticker_stats.csv 383KB

exclude.csv 688B

test_possible_trades.csv 1.08MB

actual_0.csv 93KB

open_buys.csv 13KB

actual_10.csv 94KB

train_possible_trades.csv 1.84MB

folder

log

dummy.txt 19B

folder

doc

Stockie v2.0.pptx 4.49MB

Final Project.pptx 2.43MB

Tockie v2.0.pptx 2.43MB

WOE and IV.xlsx 14KB

README.md 4KB

folder

python

merge.py 3KB

job.py 2KB

trade.py 16KB

symbols.py 2KB

backtest.py 18KB

stats.py 15KB

util.py 10KB

qa.py 3KB

pnl.py 17KB

folder

notebook

analysis.ipynb 207KB

folder

pic

pos_trades_df_scatter_0.png 51KB

sell_df_scatter_0.png 32KB

pos_trades_df_scatter_40.png 51KB

sell_df_scatter_30.png 32KB

trade_threshold_0.png 111KB

sell_df_scatter_10.png 33KB

sell_df_scatter_40.png 27KB

trade_threshold_20.png 120KB

pos_trades_df_scatter_20.png 51KB

pos_trades_df_scatter_30.png 51KB

trade_threshold_30.png 119KB

trade_threshold_40.png 154KB

sell_df_scatter_20.png 33KB

trade_threshold_10.png 121KB

pos_trades_df_scatter_10.png 51KB

README.md 47B

folder

yfinance

info.py 3KB

aapl.txt 557KB

gme.txt 501KB

folder

docs

ISyE6740_Project_template.tex 809B

ISyE6740_Project_template.docx 17KB

ISyE6740_Project_guideline.pdf 48KB

folder

transcripts

sa_selenium.py 4KB

scrape_test.py 2KB

check_data.py 423B

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