def analyze():
analysis = {}
handler = {}
handler = TA_Handler(symbol=SYMBOL,
exchange=EXCHANGE,
screener=SCREENER,
interval=INTERVAL,
timeout=10)
try:
analysis = handler.get_analysis()
except Exception as e:
print("pausebotmod:")
print("Exception:")
print(e)
ma_sell = analysis.moving_averages['SELL']
if ma_sell >= THRESHOLD:
paused = True
print(
f'pausebotmod: Market not looking too good, bot paused from buying {ma_sell}/{THRESHOLD}'
)
else:
print(
f'pausebotmod: Market looks ok, bot is running {ma_sell}/{THRESHOLD}'
)
paused = False
return paused
def analyze(pairs):
taMax = 0
taMaxCoin = 'none'
signal_coins = {}
first_analysis = {}
second_analysis = {}
first_handler = {}
second_handler = {}
if os.path.exists('signals/signalsample.exs'):
os.remove('signals/signalsample.exs')
for pair in pairs:
first_handler[pair] = TA_Handler(
symbol=pair,
exchange=MY_EXCHANGE,
screener=MY_SCREENER,
interval=MY_FIRST_INTERVAL,
timeout= 10
)
second_handler[pair] = TA_Handler(
symbol=pair,
exchange=MY_EXCHANGE,
screener=MY_SCREENER,
interval=MY_SECOND_INTERVAL,
timeout= 10
)
for pair in pairs:
try:
first_analysis = first_handler[pair].get_analysis()
second_analysis = second_handler[pair].get_analysis()
except Exception as e:
print("Exeption:")
print(e)
print (f'Coin: {pair}')
print (f'First handler: {first_handler[pair]}')
print (f'Second handler: {second_handler[pair]}')
tacheckS = 0
first_tacheck = first_analysis.summary['BUY']
second_tacheck = second_analysis.summary['BUY']
if FULL_LOG:
print(f'{pair} First {first_tacheck} Second {second_tacheck}')
else:
print(".", end = '')
if first_tacheck > taMax:
taMax = first_tacheck
taMaxCoin = pair
if first_tacheck >= TA_BUY_THRESHOLD and second_tacheck >= TA_BUY_THRESHOLD:
signal_coins[pair] = pair
print("")
print(f'Signal detected on {pair}')
with open('signals/signalsample.exs','a+') as f:
f.write(pair + '\n')
print("")
print(f'Max signal by {taMaxCoin} at {taMax} on shortest timeframe')
return signal_coins
def do_GET(self):
o = urlparse(self.path)
qParsed = parse_qs(o.query)
symbol = qParsed['symbol'][0]
screener = qParsed['screener'][0]
exchange = qParsed['exchange'][0]
interval = qParsed['interval'][0]
tv = TA_Handler(symbol=symbol,
screener=screener,
exchange=exchange,
interval=interval)
analyse = tv.get_analysis()
print({symbol, screener, exchange, interval}, analyse)
self._set_headers()
self.wfile.write(
bytes(
json.dumps({
'request': {
'symbol': symbol,
'screener': screener,
'exchange': exchange,
'interval': interval
},
'result': {
'summary': analyse.summary,
'time': analyse.time.isoformat(),
'oscillators': analyse.oscillators,
'moving_averages': analyse.moving_averages,
'indicators': analyse.indicators
}
}), "utf-8"))
async def coin(message: types.Message):
_lang = Lang(_langs, message.from_user.language_code)._lang
if message.get_args() == "":
data = ["BTCUSD", "BINANCE"]
elif re.match(r"^[a-zA-Z]{6,8}$", message.get_args()):
data = [re.search(r"^[a-zA-Z]{6,8}$", message.get_args()).group(), "BINANCE"]
elif re.match(r"^[a-zA-Z]{6,8}:[a-zA-Z]{4,}$", message.get_args()):
data = re.findall(r"^([a-zA-Z]{6,8}):([a-zA-Z]{4,})$", message.get_args())[0]
else:
return await message.reply(_lang["FORMAT"])
try:
handler = TA_Handler(
screener= "crypto",
exchange= data[1],
symbol= data[0],
interval= "1d"
)
analysis = handler.get_analysis()
open_price = analysis.indicators["open"]
close_price = analysis.indicators["close"]
variance = ((close_price / open_price) -1) * 100
await message.reply(_lang["SUMMARY"].format(
pair= data[0],
exchange= data[1],
emoji= "⬆️" if variance > 0 else "⬇️",
variance= format(variance, ".2f"),
recommended= _lang[analysis.summary["RECOMMENDATION"]],
open_price= format_price(open_price),
close_price= format_price(close_price)
))
except:
return await message.reply(_lang["NOT_FOUND"])
def get_tradingview_recommendation(
ticker: str, screener: str, exchange: str, interval: str
) -> pd.DataFrame:
"""Get tradingview recommendation based on technical indicators
Parameters
----------
ticker : str
Ticker to get the recommendation from tradingview based on technical indicators
screener : str
Screener based on tradingview docs https://python-tradingview-ta.readthedocs.io/en/latest/usage.html
exchange: str
Exchange based on tradingview docs https://python-tradingview-ta.readthedocs.io/en/latest/usage.html
interval: str
Interval time to check technical indicators and correspondent recommendation
Returns
-------
df_recommendation: pd.DataFrame
Dataframe of tradingview recommendations based on technical indicators
"""
if not exchange:
s_req = f"https://www.alphavantage.co/query?function=OVERVIEW&symbol={ticker}&apikey={cfg.API_KEY_ALPHAVANTAGE}"
result = requests.get(s_req, stream=True)
exchange = result.json()["Exchange"]
if interval:
intervals = [interval]
else:
intervals = ["1M", "1W", "1d", "4h", "1h", "15m", "5m", "1m"]
df_recommendation = pd.DataFrame()
index_recommendation = []
for an_interval in intervals:
# If the returned data was successful
if result.status_code == 200:
stock_recommendation = TA_Handler(
symbol=ticker,
screener=screener,
exchange=exchange,
interval=an_interval,
)
d_recommendation = stock_recommendation.get_analysis().summary
df_recommendation = df_recommendation.append(
d_recommendation, ignore_index=True
)
index_recommendation.append(INTERVALS[an_interval])
df_recommendation.index = index_recommendation
df_recommendation[["BUY", "NEUTRAL", "SELL"]] = df_recommendation[
["BUY", "NEUTRAL", "SELL"]
].astype(int)
df_recommendation.index.name = "Interval"
return df_recommendation
def run(self):
while 1:
handler = TA_Handler(
symbol="USDTUSD",
exchange="KRAKEN",
screener="crypto",
interval=Interval.INTERVAL_1_MINUTE
)
self.lock.acquire()
self.tether_index[0] = handler.get_analysis().indicators['close']
self.lock.release()
time.sleep(2)
def tradingview_rec(ticker, timeframe):
try:
if timeframe == "week":
handler = TA_Handler(
symbol=ticker,
screener="america",
exchange="NASDAQ",
interval=Interval.INTERVAL_1_WEEK
)
elif timeframe == "month":
handler = TA_Handler(
symbol=ticker,
screener="america",
exchange="NASDAQ",
interval=Interval.INTERVAL_1_MONTH
)
return handler.get_analysis().summary
except:
return "Could not fetch recommendation"
def __init__(self, wallet: dict, min_price_change: float) -> None:
# initialize wallet amounts
self.tokens = list(wallet.keys())
self.values = list(wallet.values())
self.symbol = ''.join(self.tokens)
self.price_change = min_price_change
self.current_price = 0
# initialize price api
self.api = 'https://min-api.cryptocompare.com/data/pricemulti?fsyms={0}&tsyms={1}&api_key={2}'.format(
self.tokens[0], self.tokens[1], cfg.CRYPTOCOMPARE_TOKEN)
# initialize technical analysis api
self.handler = TA_Handler()
self.handler.set_symbol_as(self.symbol)
self.handler.set_exchange_as_crypto_or_stock("BINANCE")
self.handler.set_screener_as_crypto()
self.handler.set_interval_as(Interval.INTERVAL_15_MINUTES)
def get_macd_indicator(self, symbol):
_handler = TA_Handler(symbol="{0}".format(symbol),
screener="crypto",
exchange="binance",
interval=MACD_INTERVAL)
_analysis = _handler.get_analysis()
_ema10 = _analysis.indicators['EMA10']
_ema20 = _analysis.indicators['EMA20']
if _ema10 > _ema20:
position = 'BUY'
else:
position = 'SELL'
if position != self.tickers['{0}'.format(symbol)]['lastPosition']:
return position
return None
def analyze(pairs):
signal_coins = {}
analysis = {}
handler = {}
if os.path.exists('signals/custsignalmod.exs'):
os.remove('signals/custsignalmod.exs')
for pair in pairs:
handler[pair] = TA_Handler(symbol=pair,
exchange=EXCHANGE,
screener=SCREENER,
interval=INTERVAL,
timeout=10)
for pair in pairs:
try:
analysis = handler[pair].get_analysis()
except Exception as e:
print("Signalsample:")
print("Exception:")
print(e)
print(f'Coin: {pair}')
print(f'handler: {handler[pair]}')
oscCheck = 0
maCheck = 0
for indicator in OSC_INDICATORS:
if analysis.oscillators['COMPUTE'][indicator] == 'BUY':
oscCheck += 1
for indicator in MA_INDICATORS:
if analysis.moving_averages['COMPUTE'][indicator] == 'BUY':
maCheck += 1
if FULL_LOG:
print(
f'Custsignalmod:{pair} Oscillators:{oscCheck}/{len(OSC_INDICATORS)} Moving averages:{maCheck}/{len(MA_INDICATORS)}'
)
if oscCheck >= OSC_THRESHOLD and maCheck >= MA_THRESHOLD:
signal_coins[pair] = pair
print(
f'Custsignalmod: Signal detected on {pair} at {oscCheck}/{len(OSC_INDICATORS)} oscillators and {maCheck}/{len(MA_INDICATORS)} moving averages.'
)
with open('signals/custsignalmod.exs', 'a+') as f:
f.write(pair + '\n')
return signal_coins
async def recom(ctx, stock_name):
"""Shows what you should do with a stock, buy or sell"""
"""try:
ticker = yf.Ticker(str(stock_name))
rec = pd.DataFrame(ticker.recommendations)
except:
return
await ctx.send("```" + str(rec.tail(1)) + "```")"""
try: #see if the stock is in NASDAQ
handler = TA_Handler(symbol=str(stock_name),
screener="america",
exchange="NASDAQ",
interval=Interval.INTERVAL_1_DAY)
analysis = handler.get_analysis() #get the analysis of the stock
except:
try: #see if the stock is in the NYSE
handler = TA_Handler(symbol=str(stock_name),
screener="america",
exchange="NYSE",
interval=Interval.INTERVAL_1_DAY)
analysis = handler.get_analysis()
except:
try: #else check if its a crypto
handler = TA_Handler(symbol=str(stock_name),
screener="crypto",
exchange="binance",
interval=Interval.INTERVAL_1_DAY)
analysis = handler.get_analysis()
except:
return #if none of the above end the function
await ctx.send(
"```You should {0} {1} right NOW!```".format(
''.join(analysis.summary['RECOMMENDATION'].replace('_', ' ')),
stock_name)
) #tells the user what they should do with the stock or crypto
print("Testing {}Tradingview-TA{} v{}{}".format(Fore.CYAN, Fore.MAGENTA,
tradingview_ta.__version__,
Style.RESET_ALL))
print(
"This test is {}semi-automatic{}. Please compare with tradingview's data manually."
.format(Fore.LIGHTRED_EX, Style.RESET_ALL))
print("------------------------------------------------")
COUNT = 5
success = 0
print("{}#0{} {}Testing invalid symbol{}".format(Fore.BLUE, Style.RESET_ALL,
Fore.LIGHTBLUE_EX,
Style.RESET_ALL))
handler = TA_Handler(symbol="ThisSymbolIsInvalid",
interval="1m",
screener="america",
exchange="NASDAQ")
try:
analysis = handler.get_analysis()
if analysis:
print("{}#0{} Invalid symbol test {}failed{}. No exception occured.".
format(Fore.BLUE, Style.RESET_ALL, Fore.RED, Style.RESET_ALL))
except Exception as e:
if str(e) == "Exchange or symbol not found.":
print("{}#0{} Invalid symbol test {}success{}.".format(
Fore.BLUE, Style.RESET_ALL, Fore.GREEN, Style.RESET_ALL))
success += 1
else:
print(
"{}#0{} Invalid symbol test {}failed{}. An exception occured, but the symbol is valid."
.format(Fore.BLUE, Style.RESET_ALL, Fore.RED, Style.RESET_ALL))
#print(tradingview_ta.__version__)
intervals = [
'1m', #Interval.INTERVAL_1_MINUTE,
'5m', #Interval.INTERVAL_5_MINUTES,
'15m', #Interval.INTERVAL_15_MINUTES,
'1h', #Interval.INTERVAL_1_HOUR,
'4h', #Interval.INTERVAL_4_HOURS,
'1d', #Interval.INTERVAL_1_DAY,
'1W', #Interval.INTERVAL_1_WEEK,
'1M' #Interval.INTERVAL_1_MONTH,
]
summary = {'BUY': 0, 'SELL': 0, 'NEUTRAL': 0}
keys = ['BUY', 'SELL', 'NEUTRAL']
handler = TA_Handler(symbol='VUG',
screener='america',
exchange='AMEX',
interval=intervals[0])
#help(TA_Handler)
print(handler.symbol)
for intervali in intervals:
handler.set_interval_as(intervali)
analysis = handler.get_analysis()
print(' ', analysis.interval, analysis.summary)
#print(analysis.interval)
#print(intervali,analysis.oscillators)
#print(intervali,analysis.moving_averages)
#keys = [key for key in analysis.indicators.keys() if 'Pivot' in key]
#for key in analysis.indicators.keys():
#if 'Pivot' in key:
#print(intervali,key,analysis.indicators[key])
#print(' ',summary+analysis.summary)
import datetime
from time import sleep
if len(argv) != 7:
print("Usage: {} symbol webdriver c_key c_secret a_token a_secret".format(
argv[0]))
print("Symbol: Trading pair/symbol (ex: BTCUSDT).")
print("Webdriver: Selenium webdriver (ex: chrome, firefox, edge).")
print("c_key: Twitter consumer key.")
print("c_secret: Twitter consumer secret.")
print("a_token: Twitter access token.")
print("a_secret: Twitter access token secret.")
exit(1)
# Tradingview Settings
handler = TA_Handler()
handler.symbol = argv[1]
handler.interval = "1h"
handler.driver = argv[2]
handler.start_driver()
# Tweepy and Twitter Settings
auth = tweepy.OAuthHandler(argv[3], argv[4])
auth.set_access_token(argv[5], argv[6])
up = "📈"
down = "📉"
last_price = 0
# Create API object
api = tweepy.API(auth)
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 tradingview_ta import TA_Handler, Interval
symbol = 'BTCUSDT'
exchange = 'BINANCE'
pair = TA_Handler()
pair.set_symbol_as(symbol)
pair.set_exchange_as_crypto_or_stock(exchange)
pair.set_screener_as_crypto()
pair.set_interval_as(Interval.INTERVAL_1_DAY)
print(pair.get_analysis().summary)
# Example output: {"RECOMMENDATION": "BUY", "BUY": 8, "NEUTRAL": 6, "SELL": 3}
print(pair.get_analysis().oscillators)
print(pair.get_analysis().moving_averages)
print(pair.get_analysis().indicators)
from tradingview_ta import TA_Handler, Interval
import time
from datetime import datetime
import config
from binance.client import Client
from binance.enums import *
client = Client(config.API_KEY, config.API_SECRET, tld='com')
now = datetime.now()
fecha = now.strftime("%d-%m-%y %H:%M:%S")
lista = client.get_all_tickers()
strongBuy_list = []
strongSell_list = []
for i in lista:
tesla = TA_Handler()
tesla.set_symbol_as(i['symbol'])
tesla.set_exchange_as_crypto_or_stock("BINANCE")
tesla.set_screener_as_crypto()
tesla.set_interval_as(Interval.INTERVAL_1_HOUR)
print(i['symbol'])
try:
print(tesla.get_analysis().summary)
except Exception as e:
print("No Data")
continue
if ((tesla.get_analysis().summary)["RECOMMENDATION"]) == "STRONG_BUY":
print(f" Compar más fuerte {i}", fecha)
strongBuy_list.append(i['symbol'])
elif ((tesla.get_analysis().summary)["RECOMMENDATION"]) == "STRONG_SELL":
print(f" Compar más fuerte {i}", fecha)
def get_buy_or_sell(ticker_exchange, intervals, ratio):
keys = ['BUY', 'SELL', 'NEUTRAL']
handler = TA_Handler(symbol='VUG',
screener='america',
exchange='AMEX',
interval=intervals[0])
print(bcolors.NEUTRAL, ' {:10s} {:15s} '.format('Ticker',
'Recommendation'),
'Summary of Technical Analysis', bcolors.ENDC)
print(
'--------------------------------------------------------------------------'
)
tickers_to_buy = []
tickers_to_sell = []
for symbol, exchange in ticker_exchange.items():
handler.set_symbol_as(symbol)
handler.exchange = exchange
summary = {'BUY': 0, 'SELL': 0, 'NEUTRAL': 0}
for intervali in intervals:
handler.set_interval_as(intervali)
analysis = handler.get_analysis()
#print(' ',analysis.interval,analysis.summary)
#print(analysis.interval)
#print(intervali,analysis.oscillators)
#print(intervali,analysis.moving_averages)
#keys = [key for key in analysis.indicators.keys() if 'Pivot' in key]
#for key in analysis.indicators.keys():
#if 'Pivot' in key:
#print(intervali,key,analysis.indicators[key])
#print(' ',summary+analysis.summary)
for key, val in summary.items():
summary[key] += analysis.summary[key]
#print(analysis.time)
#print(analysis.oscillators)
#print(analysis.indicators)
#print(' ',summary)
num_tests = 0
for summary_key, summary_val in summary.items():
num_tests += summary_val
shaun_recommendation = 'NEUTRAL'
for summary_key, summary_val in summary.items():
if summary_val > ratio * num_tests:
shaun_recommendation = summary_key
if shaun_recommendation == 'BUY':
#print(bcolors.BUY+handler.symbol,shaun_recommendation,summary,bcolors.ENDC)
print(
bcolors.BUY,
' {:10s} {:15s} '.format(handler.symbol,
shaun_recommendation), summary,
bcolors.ENDC)
tickers_to_buy.append(handler.symbol)
elif shaun_recommendation == 'SELL':
#print(bcolors.SELL,handler.symbol,shaun_recommendation,summary,bcolors.ENDC)
print(
bcolors.SELL,
' {:10s} {:15s} '.format(handler.symbol,
shaun_recommendation), summary,
bcolors.ENDC)
tickers_to_sell.append(handler.symbol)
elif shaun_recommendation == 'NEUTRAL':
#print(bcolors.NEUTRAL,handler.symbol,shaun_recommendation,summary,bcolors.ENDC)
print(
bcolors.NEUTRAL,
' {:10s} {:15s} '.format(handler.symbol,
shaun_recommendation), summary,
bcolors.ENDC)
#print(help(handler))
#print(help(handler.get_analysis()))
#print(handler.get_indicators())
print(bcolors.BUY + 'recommended to buy ', tickers_to_buy, bcolors.ENDC)
print(bcolors.SELL + 'recommended to sell ', tickers_to_sell, bcolors.ENDC)
return tickers_to_buy, tickers_to_sell
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 cls():
os.system('cls' if os.name == 'nt' else 'clear')
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)
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)
class Trader:
def __init__(self, wallet: dict, min_price_change: float) -> None:
# initialize wallet amounts
self.tokens = list(wallet.keys())
self.values = list(wallet.values())
self.symbol = ''.join(self.tokens)
self.price_change = min_price_change
self.current_price = 0
# initialize price api
self.api = 'https://min-api.cryptocompare.com/data/pricemulti?fsyms={0}&tsyms={1}&api_key={2}'.format(
self.tokens[0], self.tokens[1], cfg.CRYPTOCOMPARE_TOKEN)
# initialize technical analysis api
self.handler = TA_Handler()
self.handler.set_symbol_as(self.symbol)
self.handler.set_exchange_as_crypto_or_stock("BINANCE")
self.handler.set_screener_as_crypto()
self.handler.set_interval_as(Interval.INTERVAL_15_MINUTES)
def check_recommendation(self) -> str:
return self.handler.get_analysis().summary['RECOMMENDATION']
def get_price(self) -> float:
response = requests.request("GET", self.api)
json_resp = json.loads(response.text)
return json_resp[self.tokens[0]][self.tokens[1]]
def buy(self, percent) -> float:
quantity = self.values[1] * percent
self.values[0] += quantity / self.current_price
self.values[1] -= quantity
return quantity / self.current_price
def sell(self, percent) -> float:
quantity = self.values[0] * percent
self.values[1] += quantity * self.current_price
self.values[0] -= quantity
return quantity
# return'SOLD '+str(quantity) +' '+self.trading_pair[0]+' for ' + str(price)
def handle_status_change(self, curr) -> float:
if curr == 'STRONG_BUY' and self.values[1] > 0:
return (self.buy(1), 'BUY')
elif curr == 'BUY' and self.values[1] > 0:
return (self.buy(0.4), 'BUY')
elif curr == 'SELL' and self.values[0] > 0:
return (self.sell(0.4), 'SELL')
elif curr == 'STRONG_SELL' and self.values[0] > 0:
return (self.sell(1), 'SELL')
else:
return (0, None)
def wallet_pretty(self) -> str:
w = emoji.emojize(
':credit_card:\n{:.4f} {}\n{:.4f} {}\n\nTotal:\n{:.4f} {}'.format(
self.values[0], self.tokens[0], self.values[1], self.tokens[1],
self.values[1] + self.values[0] * self.current_price,
self.tokens[1]))
return w
def trade_pretty(self, quantity, side) -> str:
if side == 'SELL':
return emoji.emojize(
':left_arrow: Sold {:.4f} {} for {:.4f}'.format(
quantity, self.tokens[0], self.current_price))
else:
return emoji.emojize(
':right_arrow: Bought {:.4f} {} for {:.4f}'.format(
quantity, self.tokens[0], self.current_price))
def persist(self) -> None:
with open('./saved.pickle', 'wb') as f:
pickle.dump(self, f)
def run(self) -> str:
logging.info('Started trading ' + self.symbol)
# prev_rec = 'NONE'
prev_price = self.current_price
while True:
try:
rec = self.check_recommendation()
self.current_price = self.get_price()
price_change = abs(1 - (prev_price / self.current_price))
if price_change > self.price_change or 'STRONG' in rec:
traded = self.handle_status_change(rec)
self.persist()
if traded[0] <= 0:
continue
prev_price = self.current_price
# prev_rec = rec
tradedstr = self.trade_pretty(*traded)
walletstr = self.wallet_pretty()
yield tradedstr
logging.info(tradedstr)
logging.info(walletstr)
self.persist()
except:
logging.exception('Error occurred')
finally:
time.sleep(30)
if args.secureproxy:
proxies["https"] = args.secureproxy
print("------------------------------------------------")
print("Testing {}Tradingview-TA{} v{}{}".format(Fore.CYAN, Fore.MAGENTA, tradingview_ta.__version__, Style.RESET_ALL))
print("This test is {}semi-automatic{}. Please compare with tradingview's data manually.".format(Fore.LIGHTRED_EX, Style.RESET_ALL))
print("------------------------------------------------")
COUNT = 7
success = 0
print("{}#0{} {}Testing invalid symbol{}".format(Fore.BLUE, Style.RESET_ALL, Fore.LIGHTBLUE_EX, Style.RESET_ALL))
handler = TA_Handler(
symbol="ThisSymbolIsInvalid",
interval="1m",
screener="america",
exchange="NASDAQ",
proxies = proxies
)
try:
analysis = handler.get_analysis()
if analysis:
print("{}#0{} Invalid symbol test {}failed{}. No exception occured.".format(Fore.BLUE, Style.RESET_ALL, Fore.RED, Style.RESET_ALL))
except Exception as e:
if str(e) == "Exchange or symbol not found.":
print("{}#0{} Invalid symbol test {}success{}.".format(Fore.BLUE, Style.RESET_ALL, Fore.GREEN, Style.RESET_ALL))
success += 1
else:
print("{}#0{} Invalid symbol test {}failed{}. An exception occured, but the symbol is valid.".format(Fore.BLUE, Style.RESET_ALL, Fore.RED, Style.RESET_ALL))
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):
def get_tradingview_recommendation(ticker: str, screener: str, exchange: str,
interval: str) -> str:
"""Get tradingview recommendation based on technical indicators
Parameters
----------
ticker : str
Ticker to get the recommendation from tradingview based on technical indicators
screener : str
Screener based on tradingview docs https://python-tradingview-ta.readthedocs.io/en/latest/usage.html
exchange: str
Exchange based on tradingview docs https://python-tradingview-ta.readthedocs.io/en/latest/usage.html
interval: str
Interval time to check technical indicators and correspondent recommendation
Returns
-------
str
tradingview recommendation based on technical indicators
"""
if not exchange:
s_req = f"https://www.alphavantage.co/query?function=OVERVIEW&symbol={ticker}&apikey={cfg.API_KEY_ALPHAVANTAGE}"
result = requests.get(s_req, stream=True)
exchange = result.json()["Exchange"]
if not interval:
df_recommendation = pd.DataFrame()
index_recommendation = list()
for interv in ["1M", "1W", "1d", "4h", "1h", "15m", "5m", "1m"]:
# If the returned data was successful
if result.status_code == 200:
stock_recommendation = TA_Handler(
symbol=ticker,
screener=screener,
exchange=exchange,
interval=interv,
)
d_recommendation = stock_recommendation.get_analysis().summary
df_recommendation = df_recommendation.append(d_recommendation,
ignore_index=True)
index_recommendation.append(INTERVALS[interv])
df_recommendation.index = index_recommendation
df_recommendation[["BUY", "NEUTRAL", "SELL"]] = df_recommendation[[
"BUY", "NEUTRAL", "SELL"
]].astype(int)
df_recommendation["-----"] = "-----"
df_recommendation.index.name = "Interval"
recommendation = df_recommendation[[
"RECOMMENDATION", "-----", "BUY", "NEUTRAL", "SELL"
]].to_string()
else:
stock_recommendation = TA_Handler(symbol=ticker,
screener=screener,
exchange=exchange,
interval=interval)
d_recommendation = stock_recommendation.get_analysis().summary
recommendation = f"Interval: {INTERVALS[interval]}\n"
recommendation += f"Recommendation: {d_recommendation['RECOMMENDATION']}\n"
recommendation += f"{int(d_recommendation['BUY'])} BUY, {int(d_recommendation['NEUTRAL'])} NEUTRAL"
recommendation += f", {int(d_recommendation['SELL'])} SELL"
return recommendation
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_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)
"""Using the tradingview-ta package to get ethereum data from binance in 15 minute intervals"""
from tradingview_ta import TA_Handler, Interval
handler = TA_Handler(symbol="ETHUSD",
screener="crypto",
exchange="binance",
interval=Interval.INTERVAL_15_MINUTES)
analysis = handler.get_analysis()
# coding: utf-8
# 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'])
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")
