def tech():
id_focus = input("ID action > ")
symbol = input("entreprise symbole > ")
exchange = input("place bourisère > ")
country = input("pays > ")
print("Analyse technique :")
try:
_object = TA_Handler()
_object.set_symbol_as(symbol)
_object.set_exchange_as_crypto_or_stock(exchange)
_object.set_screener_as_stock(country)
_object.set_interval_as(Interval.INTERVAL_1_DAY)
tradingview_result = _object.get_analysis().summary
print("1 jour >", tradingview_result)
_object.set_interval_as(Interval.INTERVAL_1_WEEK)
tradingview_result = _object.get_analysis().summary
print("1 sem >", tradingview_result)
_object.set_interval_as(Interval.INTERVAL_1_MONTH)
tradingview_result = _object.get_analysis().summary
print("1 mois >", tradingview_result)
print("Infos ajoutée en DB")
with connexion:
c.execute(
f"UPDATE ACTIONS SET tec_exchange = '{exchange}', tec_country = '{country}' WHERE id = {id_focus};"
)
except:
print("ERREUR > une ou plusieures données sont érronées.")
def t_infos():
symbol = input("entreprise symbole :\n> ")
exchange = input("place bourisère :\n> ")
country = input("pays: \n> ")
print("Résultats analyses techniques", symbol, ":")
try:
_object = TA_Handler()
_object.set_symbol_as(symbol)
_object.set_exchange_as_crypto_or_stock(exchange)
_object.set_screener_as_stock(country)
_object.set_interval_as(Interval.INTERVAL_1_DAY)
test = _object.get_analysis().summary
print("1 jour >", test)
_object.set_interval_as(Interval.INTERVAL_1_WEEK)
test = _object.get_analysis().summary
print("1 sem >", test)
_object.set_interval_as(Interval.INTERVAL_1_MONTH)
test = _object.get_analysis().summary
print("1 mois >", test)
print("-" * 100)
except:
print("ERREUR > une ou plusieures données sont érronées.")
def get_data_from_tradingView(self):
# dataframeSPY = pd.read_csv("data/SPY.csv")
# dataframeSPY['time'] = pd.to_datetime(dataframeSPY['time'], unit='s')
# print(dataframeSPY.tail())
tesla = TA_Handler()
tesla.set_symbol_as("TSLA")
tesla.set_exchange_as_crypto_or_stock("NASDAQ")
tesla.set_screener_as_stock("america")
tesla.set_interval_as(Interval.INTERVAL_1_DAY)
print(tesla.get_analysis().summary)
def get_stock_indicators_list(
lista=list
): #Get sell/buy indicators for multiple stocks from a list, and print the results
handler = TA_Handler()
for i in range(len(lista)):
handler.set_symbol_as(lista[i][0])
handler.set_exchange_as_crypto_or_stock("NASDAQ")
handler.set_screener_as_stock("america")
handler.set_interval_as(Interval.INTERVAL_1_HOUR)
stock = handler.get_analysis().summary
stock_table = []
for b in stock.items():
stock_table.append(b)
stock_table.insert(0, ["Company: " + lista[i][0].upper(), "Result"])
stock_table = AsciiTable(stock_table)
print(stock_table.table)
def root():
if request.method == "GET":
return render_template("index.html",
version=tradingview_ta.__version__,
captcha_sitekey=hcaptcha_sitekey)
elif request.method == "POST":
try:
# hCaptcha
hcaptcha_response = request.form["h-captcha-response"]
captchaReq = requests.post("https://hcaptcha.com/siteverify",
data={
"secret": hcaptcha_secret,
"response": hcaptcha_response
})
if captchaReq.json()["success"] == False:
return render_template("error.html",
version=tradingview_ta.__version__,
error="Error: Invalid captcha",
captcha_sitekey=hcaptcha_sitekey)
# TradingView Technical Analysis
handler = TA_Handler()
handler.set_symbol_as(request.form["symbol"])
handler.set_exchange_as_crypto_or_stock(request.form["exchange"])
handler.set_screener_as_stock(request.form["screener"])
handler.set_interval_as(request.form["interval"])
analysis = handler.get_analysis()
return render_template("success.html",
version=tradingview_ta.__version__,
symbol=analysis.symbol,
exchange=analysis.exchange,
screener=analysis.screener,
interval=analysis.interval,
time=analysis.time.astimezone(timezone.utc),
summary=analysis.summary,
oscillators=analysis.oscillators,
moving_averages=analysis.moving_averages,
indicators=analysis.indicators,
captcha_sitekey=hcaptcha_sitekey)
except Exception as e:
return render_template("error.html",
version=tradingview_ta.__version__,
error=e,
captcha_sitekey=hcaptcha_sitekey)
def get_stock_indicators_manual(
): #Get sell/buy indicators from tradingview_ta for one stock, with user input and print the result
handler = TA_Handler()
symbol = loop_simples_de_coleta(configleng[4], configleng[0],
configleng[2])
handler.set_symbol_as(symbol)
exchange = loop_simples_de_coleta(configleng[5], configleng[0],
configleng[2])
handler.set_exchange_as_crypto_or_stock(exchange)
handler.set_screener_as_stock(
loop_simples_de_coleta(configleng[8], configleng[0], configleng[2]))
r = str(interval_options())
handler.set_interval_as(r)
stock = handler.get_analysis().summary
stock_table = []
for i in stock.items():
stock_table.append(i)
stock_table.insert(0, ["Company: " + symbol.upper(), "Result"])
stock_table = AsciiTable(stock_table)
print(stock_table.table)
from django.contrib.auth.decorators import login_required
from django.db.models import F
from django.shortcuts import render, redirect
from django.http import HttpResponse
from .models import Shares
from .forms import SharesForm
from django.contrib import messages
from django.core.paginator import Paginator
from tradingview_ta import TA_Handler, Interval
tesla = TA_Handler()
tesla.set_symbol_as("TSLA")
tesla.set_exchange_as_crypto_or_stock("NASDAQ")
tesla.set_screener_as_stock("america")
tesla.set_interval_as(Interval.INTERVAL_1_DAY)
print(tesla.get_analysis().summary)
# Example output: {"RECOMMENDATION": "BUY", "BUY": 8, "NEUTRAL": 6, "SELL": 3}
@login_required
def index(request, message=messages):
all_shares = Shares.objects.filter()
paginator = Paginator(all_shares, 10)
page = request.GET.get('pg')
all_shares = paginator.get_page(page)
return render(request, 'index.html', {'all_shares': all_shares})
@login_required
def add_shares(request):
# In[ ]:
import pandas as pd
from tradingview_ta import TA_Handler, Interval
from tqdm import trange
import time
import datetime as dt
#########
tickers = pd.read_csv('dataset/ind_nifty50list.csv')
tickers = pd.DataFrame(tickers.Symbol)
########
dictionary = {'-': '_', '&': '_'}
tickers.replace(dictionary, regex=True, inplace=True)
Stock = {}
handler = TA_Handler()
handler.set_exchange_as_crypto_or_stock("NSE")
handler.set_screener_as_stock("india")
tickers['Strength'] = 0
while True:
handler.set_interval_as(Interval.INTERVAL_1_HOUR)
# tickers.shape[0]
for i in trange(tickers.shape[0]):
try:
handler.set_symbol_as(tickers.Symbol[i])
Stock[tickers.Symbol[i]] = [
handler.get_analysis().summary['RECOMMENDATION'],
handler.get_analysis().indicators['close']
]
#print([i],tickers[i],handler.get_analysis().summary['RECOMMENDATION'])
except:
print("An exception occurred", tickers[i])
cls()
print("Bienvenue sur Tradyglo v.BETA")
while i == 0:
symbol = input("entreprise symbole > ")
exchange = input("place bourisère > ")
country = input("pays > ")
print("-" * 100)
print("Résultats analyses techniques", symbol, ":")
_object = TA_Handler()
_object.set_symbol_as(symbol)
_object.set_exchange_as_crypto_or_stock(exchange)
_object.set_screener_as_stock(country)
_object.set_interval_as(Interval.INTERVAL_1_DAY)
test = _object.get_analysis().summary
print("1 jour >", test)
_object.set_interval_as(Interval.INTERVAL_1_WEEK)
test = _object.get_analysis().summary
print("1 sem >", test)
_object.set_interval_as(Interval.INTERVAL_1_MONTH)
test = _object.get_analysis().summary
print("1 mois >", test)
print("\n")
#cls()
def analyse_technique(id_infos):
print("Analyse technique :")
try:
with connexion:
c.execute(
f"SELECT tec_symbol, tec_exchange, tec_country FROM actions where id = {id_infos};"
)
result = c.fetchone()
tec_symbol = result[0]
tec_exchange = result[1]
tec_country = result[2]
try: #1- on tente avec ce qui est stocké en db
_object = TA_Handler()
_object.set_symbol_as(tec_symbol)
_object.set_exchange_as_crypto_or_stock(tec_exchange)
_object.set_screener_as_stock(tec_country)
_object.set_interval_as(Interval.INTERVAL_1_DAY)
tradingview_result = _object.get_analysis().summary
_object.set_interval_as(Interval.INTERVAL_1_WEEK)
tradingview_result2 = _object.get_analysis().summary
_object.set_interval_as(Interval.INTERVAL_1_MONTH)
tradingview_result3 = _object.get_analysis().summary
c.execute(
f"UPDATE ACTIONS SET tec_exchange = '{tec_exchange}', tec_country = '{tec_country}' WHERE id = {id_infos};"
)
print("1 jour >", tradingview_result)
print("1 sem >", tradingview_result2)
print("1 mois >", tradingview_result3)
except:
tec_country = "AMERICA"
tec_exchange = "NYSE"
try:
_object = TA_Handler()
_object.set_symbol_as(tec_symbol)
_object.set_exchange_as_crypto_or_stock(tec_exchange)
_object.set_screener_as_stock(tec_country)
_object.set_interval_as(Interval.INTERVAL_1_DAY)
tradingview_result = _object.get_analysis().summary
_object.set_interval_as(Interval.INTERVAL_1_WEEK)
tradingview_result2 = _object.get_analysis().summary
_object.set_interval_as(Interval.INTERVAL_1_MONTH)
tradingview_result3 = _object.get_analysis().summary
c.execute(
f"UPDATE ACTIONS SET tec_exchange = '{tec_exchange}', tec_country = '{tec_country}' WHERE id = {id_infos};"
)
print("1 jour >", tradingview_result)
print("1 sem >", tradingview_result2)
print("1 mois >", tradingview_result3)
except:
tec_country = "AMERICA"
tec_exchange = "NASDAQ"
try:
_object = TA_Handler()
_object.set_symbol_as(tec_symbol)
_object.set_exchange_as_crypto_or_stock(tec_exchange)
_object.set_screener_as_stock(tec_country)
_object.set_interval_as(Interval.INTERVAL_1_DAY)
tradingview_result = _object.get_analysis().summary
_object.set_interval_as(Interval.INTERVAL_1_WEEK)
tradingview_result2 = _object.get_analysis().summary
_object.set_interval_as(Interval.INTERVAL_1_MONTH)
tradingview_result3 = _object.get_analysis().summary
c.execute(
f"UPDATE ACTIONS SET tec_exchange = '{tec_exchange}', tec_country = '{tec_country}' WHERE id = {id_infos};"
)
print("1 jour >", tradingview_result)
print("1 sem >", tradingview_result2)
print("1 mois >", tradingview_result3)
except:
print(
"Aucune donnée d'analyse technique, utilisez .tech"
)
except:
print("ERROR 14")
