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update

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This commit is contained in:
MuslemRahimi 2024-09-04 20:46:35 +02:00
parent 355adbb717
commit 68f7b68a3f
2 changed files with 18 additions and 23 deletions
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5
app/main.py
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@ -1133,9 +1133,6 @@ async def brownian_motion(data:TickerData, api_key: str = Security(get_api_key))
@app.post("/stock-screener-data") @app.post("/stock-screener-data")
async def stock_finder(data:StockScreenerData, api_key: str = Security(get_api_key)): async def stock_finder(data:StockScreenerData, api_key: str = Security(get_api_key)):
rule_of_list = sorted(data.ruleOfList) rule_of_list = sorted(data.ruleOfList)
@ -1148,7 +1145,7 @@ async def stock_finder(data:StockScreenerData, api_key: str = Security(get_api_k
headers={"Content-Encoding": "gzip"} headers={"Content-Encoding": "gzip"}
) )
always_include = ['symbol', 'marketCap', 'price', 'changesPercentage', 'name'] always_include = ['symbol', 'marketCap', 'price', 'changesPercentage', 'name','volume','pe']
try: try:
with open(f"json/stock-screener/data.json", 'rb') as file: with open(f"json/stock-screener/data.json", 'rb') as file:

32
app/restart_json.py
View File

@ -172,12 +172,11 @@ async def get_stock_screener(con):
#Stock Screener Data #Stock Screener Data
cursor.execute("SELECT symbol, name, avgVolume, change_1W, change_1M, change_3M, change_6M, change_1Y, change_3Y, sma_50, sma_200, ema_50, ema_200, rsi, atr, stoch_rsi, mfi, cci, pe, marketCap, growthRevenue, growthNetIncome, growthGrossProfit, growthCostOfRevenue, growthCostAndExpenses, growthInterestExpense, growthResearchAndDevelopmentExpenses, growthEBITDA, growthEPS, growthOperatingExpenses, growthOperatingIncome, beta FROM stocks WHERE symbol NOT LIKE '%.%' AND eps IS NOT NULL AND revenue IS NOT NULL AND marketCap IS NOT NULL AND beta IS NOT NULL") cursor.execute("SELECT symbol, name, change_1W, change_1M, change_3M, change_6M, change_1Y, change_3Y, sma_50, sma_200, ema_50, ema_200, rsi, atr, stoch_rsi, mfi, cci, pe, marketCap, growthRevenue, growthNetIncome, growthGrossProfit, growthCostOfRevenue, growthCostAndExpenses, growthInterestExpense, growthResearchAndDevelopmentExpenses, growthEBITDA, growthEPS, growthOperatingExpenses, growthOperatingIncome, beta FROM stocks WHERE symbol NOT LIKE '%.%' AND eps IS NOT NULL AND revenue IS NOT NULL AND marketCap IS NOT NULL AND beta IS NOT NULL")
raw_data = cursor.fetchall() raw_data = cursor.fetchall()
stock_screener_data = [{ stock_screener_data = [{
'symbol': symbol, 'symbol': symbol,
'name': name, 'name': name,
'avgVolume': avgVolume,
'change1W': change_1W, 'change1W': change_1W,
'change1M': change_1M, 'change1M': change_1M,
'change3M': change_3M, 'change3M': change_3M,
@ -207,30 +206,29 @@ async def get_stock_screener(con):
'growthOperatingExpenses': growthOperatingExpenses, 'growthOperatingExpenses': growthOperatingExpenses,
'growthOperatingIncome': growthOperatingIncome, 'growthOperatingIncome': growthOperatingIncome,
'beta': beta, 'beta': beta,
} for (symbol, name, avgVolume, change_1W, change_1M, change_3M, change_6M, change_1Y, change_3Y, sma_50, sma_200, ema_50, ema_200, rsi, atr, stoch_rsi, mfi, cci, pe, marketCap, growthRevenue, growthNetIncome, growthGrossProfit, growthCostOfRevenue, growthCostAndExpenses, growthInterestExpense, growthResearchAndDevelopmentExpenses, growthEBITDA, growthEPS, growthOperatingExpenses, growthOperatingIncome, beta) in raw_data] } for (symbol, name, change_1W, change_1M, change_3M, change_6M, change_1Y, change_3Y, sma_50, sma_200, ema_50, ema_200, rsi, atr, stoch_rsi, mfi, cci, pe, marketCap, growthRevenue, growthNetIncome, growthGrossProfit, growthCostOfRevenue, growthCostAndExpenses, growthInterestExpense, growthResearchAndDevelopmentExpenses, growthEBITDA, growthEPS, growthOperatingExpenses, growthOperatingIncome, beta) in raw_data]
stock_screener_data = [{k: round(v, 2) if isinstance(v, (int, float)) else v for k, v in entry.items()} for entry in stock_screener_data] stock_screener_data = [{k: round(v, 2) if isinstance(v, (int, float)) else v for k, v in entry.items()} for entry in stock_screener_data]
cursor.execute("SELECT symbol, name, price, changesPercentage FROM stocks WHERE price IS NOT NULL AND changesPercentage IS NOT NULL")
raw_data = cursor.fetchall()
stocks_data = [{
'symbol': row[0],
'name': row[1],
'price': row[2],
'changesPercentage': row[3],
} for row in raw_data]
# Create a dictionary to map symbols to 'price' and 'changesPercentage' from stocks_data
stocks_data_map = {entry['symbol']: (entry['price'], entry['changesPercentage']) for entry in stocks_data}
# Iterate through stock_screener_data and update 'price' and 'changesPercentage' if symbols match # Iterate through stock_screener_data and update 'price' and 'changesPercentage' if symbols match
# Add VaR value to stock screener # Add VaR value to stock screener
for item in tqdm(stock_screener_data): for item in tqdm(stock_screener_data):
symbol = item['symbol'] symbol = item['symbol']
if symbol in stocks_data_map:
item['price'], item['changesPercentage'] = stocks_data_map[symbol] try:
with open(f"json/quote/{symbol}.json", 'r') as file:
res = orjson.loads(file.read())
item['price'] = round(float(res['price']),2)
item['changesPercentage'] = round(float(res['changesPercentage']),2)
item['avgVolume'] = int(res['avgVolume'])
item['volume'] = int(res['volume'])
except:
item['price'] = None
item['changesPercentage'] = None
item['avgVolume'] = None
item['volume'] = None
try: try:
with open(f"json/stockdeck/{symbol}.json", 'r') as file: with open(f"json/stockdeck/{symbol}.json", 'r') as file: