def register():
if request.method == 'POST':
data=request.form
try:
query= Trader.get(name=data['name'])
print("User exists")
except:
Trader.create(name=data['name'], account=data['account'], password=data['password'])
print("Record created")
return render_template('register.html')
def login():
# pdb.set_trace()
if request.method == 'POST':
data = request.form
username = data['name']
userpassword = data['password']
dbname = None
try: # Peewee returns an error if record not exist instead of returning none(!)
dbname = Trader.get(name=username)
except:
pass
if dbname:
if dbname.password == userpassword:
print("Authenticated")
user = get_user(
dbname.id) # creates a User instance with id=id
login_user(user)
result = "authenticated"
else:
print("Wrong password")
result = "fail" # Should always return fail regardless if its password or username
else:
print("Wrong Username")
result = "fail" # Should always return fail regardless if its password or username
return render_template("login.html")
def login():
# pdb.set_trace()
result=''
print(request)
data=request.get_json()
print(data)
username= data['name']
print(username)
userpassword = data['password']
print(userpassword)
dbname=None
try: # Peewee returns an error if record not exist instead of returning none(!)
dbname=Trader.get(name=username)
except:
pass
if dbname:
if dbname.password==userpassword:
print("authenticated")
user = get_user(dbname.id) # creates a User instance with id=id
login_user(user)
result="authenticated"
else:
print("wrong password")
result="fail"
else:
print("Wrong Username")
result="fail"
print(result)
return jsonify({"status":result})
def identity(payload):
try:
user_id = payload['identity']
except:
user_id = payload['user_id']
user = Trader.select().where(Trader.id == user_id).get()
return user_id
def authenticate(username, password):
try:
user = Trader.select().where(Trader.name == username).get()
except:
user = None
return user
def get_user(id):
try:
dbuser = Trader.get(id=int(id))
return User(dbuser.id)
except:
return None
from read import parse_csv
from model import Trader, Log, LogManager, Bar, Result
import math
# bars = parse_csv("data\AUDUSD_D1_HistoricalSSI.csv")
# bars = parse_csv("data\AUDUSD_H4_HistoricalSSI.csv")
bars = parse_csv("data\AUDUSD_H1_HistoricalSSI.csv")
# bars = parse_csv("data\GBPUSD_D1_HistoricalSSI.csv")
# bars = parse_csv("data\GBPUSD_H4_HistoricalSSI.csv")
# bars = parse_csv("data\GBPUSD_H1_HistoricalSSI.csv")
# bars = parse_csv("data\EURUSD_D1_HistoricalSSI.csv")
# bars = parse_csv("data\EURUSD_H4_HistoricalSSI.csv")
# bars = parse_csv("data\EURUSD_H1_HistoricalSSI.csv")
base_unit = 100000
THRESHOLD = 4
trader = Trader()
logs = LogManager()
for bar in bars.bars:
ssi = bar.ssi
if trader.stock > 0:
if ssi >= -THRESHOLD:
trader.close(bar)
logs.add(
Log(
timestamp=bar.timestamp,
equity=trader.equity,
stock=trader.stock,
))
elif trader.stock < 0:
if ssi <= -THRESHOLD:
trader.close(bar)
from read import parse_csv
from model import Trader, Log, LogManager, Bar, Result
import math
bars = parse_csv("data\AUDUSD_D1_HistoricalSSI.csv")
# bars = parse_csv("data\GBPUSD_D1_HistoricalSSI.csv")
# bars = parse_csv("data\EURUSD_D1_HistoricalSSI.csv")
base_unit = 5000
capital = 1000
margin = 0.02
trade_count = 0
MAX_LIMIT = 8
IGNORE = 0
trader = Trader(capital=capital, margin=margin)
logs = LogManager()
for bar in bars.bars:
ssi = bar.ssi
# if abs(ssi) < IGNORE:
# continue
# if ssi > 0:
# adjusted_ssi = ssi - IGNORE
# else:
# adjusted_ssi = ssi + IGNORE
optimal_hold = -int(ssi / 0.2)
# if optimal_hold > MAX_LIMIT:
# optimal_hold = MAX_LIMIT
# elif optimal_hold < -MAX_LIMIT:
# optimal_hold = -MAX_LIMIT
optimal_hold *= base_unit
diff = optimal_hold - trader.stock
# last_ssi = row["SSI_log"]
from read import parse_csv
from model import Trader, Log, LogManager, Bar, Result
import math
bars = parse_csv("data\AUDUSD_D1_HistoricalSSI.csv")
# bars = parse_csv("data\GBPUSD_D1_HistoricalSSI.csv")
# bars = parse_csv("data\EURUSD_D1_HistoricalSSI.csv")
base_unit = 5000
capital = 1000
margin = 0.02
trade_count = 0
MAX_LIMIT = 8
IGNORE = 0
trader = Trader(capital=capital, margin=margin)
logs = LogManager()
for bar in bars.bars:
ssi = bar.ssi
# if abs(ssi) < IGNORE:
# continue
# if ssi > 0:
# adjusted_ssi = ssi - IGNORE
# else:
# adjusted_ssi = ssi + IGNORE
optimal_hold = -int(ssi/0.2)
# if optimal_hold > MAX_LIMIT:
# optimal_hold = MAX_LIMIT
# elif optimal_hold < -MAX_LIMIT:
# optimal_hold = -MAX_LIMIT
optimal_hold *= base_unit
diff = optimal_hold - trader.stock
from model import Trader, Log, LogManager, Bar, Result
import math
# bars = parse_csv("data\AUDUSD_D1_HistoricalSSI.csv")
# bars = parse_csv("data\AUDUSD_H4_HistoricalSSI.csv")
bars = parse_csv("data\AUDUSD_H1_HistoricalSSI.csv")
# bars = parse_csv("data\GBPUSD_D1_HistoricalSSI.csv")
# bars = parse_csv("data\GBPUSD_H4_HistoricalSSI.csv")
# bars = parse_csv("data\GBPUSD_H1_HistoricalSSI.csv")
# bars = parse_csv("data\EURUSD_D1_HistoricalSSI.csv")
# bars = parse_csv("data\EURUSD_H4_HistoricalSSI.csv")
# bars = parse_csv("data\EURUSD_H1_HistoricalSSI.csv")
base_unit = 100000
THRESHOLD = 4
trader = Trader()
logs = LogManager()
for bar in bars.bars:
ssi = bar.ssi
if trader.stock > 0:
if ssi >= -THRESHOLD:
trader.close(bar)
logs.add(Log(
timestamp=bar.timestamp,
equity=trader.equity,
stock=trader.stock,
))
elif trader.stock < 0:
if ssi <= -THRESHOLD:
trader.close(bar)
logs.add(Log(