AmineTMIRI/backend
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

bugfixing

Browse Source
This commit is contained in:
MuslemRahimi 2024-09-25 00:48:32 +02:00
parent 001ff4ba67
commit d5804c3f38
3 changed files with 5 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

BIN
app/ml_models/__pycache__/classification.cpython-310.pyc
View File

Binary file not shown.

6
app/ml_models/classification.py
View File

@ -25,7 +25,7 @@ import argparse
# Set up argument parser # Set up argument parser
parser = argparse.ArgumentParser(description="Train and test process script.") parser = argparse.ArgumentParser(description="Train and test process script.")
parser.add_argument('--train', action='store_true', help="Set to True to run training") parser.add_argument('--train', action='store_true', help="Set to True to run training")
# Parse the arguments # Parse the arguments
args = parser.parse_args() args = parser.parse_args()
@ -43,7 +43,7 @@ async def download_data(ticker, start_date, end_date, nth_day):
class TrendPredictor: class TrendPredictor:
def __init__(self, nth_day, path="weights"): def __init__(self, nth_day, path="ml_models/weights"):
self.model = RandomForestClassifier(n_estimators=500, max_depth = 10, min_samples_split=10, random_state=42, n_jobs=10) self.model = RandomForestClassifier(n_estimators=500, max_depth = 10, min_samples_split=10, random_state=42, n_jobs=10)
self.scaler = MinMaxScaler() self.scaler = MinMaxScaler()
self.nth_day = nth_day self.nth_day = nth_day
@ -148,7 +148,7 @@ class TrendPredictor:
async def train_process(nth_day): async def train_process(nth_day):
tickers =['KO','WMT','BA','PLD','AZN','LLY','INFN','GRMN','VVX','EPD','PII','WY','BLMN','AAP','ON','TGT','SMG','EL','EOG','ULTA','DV','PLNT','GLOB','LKQ','CWH','PSX','SO','TGT','GD','MU','NKE','AMGN','BX','CAT','PEP','LIN','ABBV','COST','MRK','HD','JNJ','PG','SPCB','CVX','SHEL','MS','GS','MA','V','JPM','XLF','DPZ','CMG','MCD','ALTM','PDD','MNST','SBUX','AMAT','ZS','IBM','SMCI','ORCL','XLK','VUG','VTI','VOO','IWM','IEFA','PEP','WMT','XOM','V','AVGO','BIDU','GOOGL','SNAP','DASH','SPOT','NVO','META','MSFT','ADBE','DIA','PFE','BAC','RIVN','NIO','CISS','INTC','AAPL','BYND','MSFT','HOOD','MARA','SHOP','CRM','PYPL','UBER','SAVE','QQQ','IVV','SPY','EVOK','GME','F','NVDA','AMD','AMZN','TSM','TSLA'] tickers =['KO','WMT','BA','PLD','AZN','LLY','INFN','GRMN','VVX','EPD','PII','WY','BLMN','AAP','ON','TGT','SMG','EL','EOG','ULTA','DV','PLNT','GLOB','LKQ','CWH','PSX','SO','TGT','GD','MU','NKE','AMGN','BX','CAT','PEP','LIN','ABBV','COST','MRK','HD','JNJ','PG','SPCB','CVX','SHEL','MS','GS','MA','V','JPM','XLF','DPZ','CMG','MCD','ALTM','PDD','MNST','SBUX','AMAT','ZS','IBM','SMCI','ORCL','XLK','VUG','VTI','VOO','IWM','IEFA','PEP','WMT','XOM','V','AVGO','BIDU','GOOGL','SNAP','DASH','SPOT','NVO','META','MSFT','ADBE','DIA','PFE','BAC','RIVN','NIO','CISS','INTC','AAPL','BYND','MSFT','HOOD','MARA','SHOP','CRM','PYPL','UBER','SAVE','QQQ','IVV','SPY','EVOK','GME','F','NVDA','AMD','AMZN','TSM','TSLA']
tickers = list(set(tickers)) tickers = list(set(tickers))
print(len(tickers)) #print(len(tickers))
df_train = pd.DataFrame() df_train = pd.DataFrame()
df_test = pd.DataFrame() df_test = pd.DataFrame()

4
app/primary_cron_job.py
View File

@ -635,9 +635,9 @@ schedule.every().day.at("14:00").do(run_threaded, run_cron_sector).tag('sector_j
schedule.every(2).days.at("01:00").do(run_threaded, run_market_maker).tag('markt_maker_job') schedule.every(2).days.at("01:00").do(run_threaded, run_market_maker).tag('markt_maker_job')
schedule.every(2).days.at("08:30").do(run_threaded, run_financial_score).tag('financial_score_job') schedule.every(2).days.at("08:30").do(run_threaded, run_financial_score).tag('financial_score_job')
schedule.every().saturday.at("05:00").do(run_threaded, run_ownership_stats).tag('ownership_stats_job') schedule.every().saturday.at("05:00").do(run_threaded, run_ownership_stats).tag('ownership_stats_job')
schedule.every().saturday.at("08:00").do(run_threaded, run_trend_analysis).tag('trend_analysis_job') schedule.every().saturday.at("06:00").do(run_threaded, run_trend_analysis).tag('trend_analysis_job')
schedule.every().saturday.at("08:00").do(run_threaded, run_sentiment_analysis).tag('sentiment_analysis_job') schedule.every().saturday.at("08:00").do(run_threaded, run_sentiment_analysis).tag('sentiment_analysis_job')
schedule.every().saturday.at("08:00").do(run_threaded, run_price_analysis).tag('price_analysis_job') schedule.every().saturday.at("10:00").do(run_threaded, run_price_analysis).tag('price_analysis_job')
schedule.every(5).minutes.do(run_threaded, run_cron_market_movers).tag('market_movers_job') schedule.every(5).minutes.do(run_threaded, run_cron_market_movers).tag('market_movers_job')