def charliewl():
wl = func.read_from_database("SELECT * from ma_watchlist", serverSite) #ma
wl_hd = func.read_from_database("SELECT * from hd_watchlist",
serverSite) #hd
wl = wl.append(wl_hd)
wl["link"] = "stocks/" + wl.ticker
try:
wl.price_difference = round(wl.price_difference, 2)
except:
pass #if it fails then the df is just empty.
mydata = dict({"data": wl.to_dict('records')})
return jsonify(mydata)
def deltahistory():
history = func.read_from_database(
"SELECT * from tradehistory_delta LIMIT 20", serverSite)
history["link"] = "stocks/" + history.Ticker
mydata = dict({"data": history.to_dict('records')})
return jsonify(mydata)
def echo():
form1 = SearchForm()
echo_status = "Online"
#Creating the data for the bar graph. Resulting df is called active
active = func.read_from_database("SELECT * from active_trades_echo",
serverSite)
active["port_weight"] = (active.qty.astype("float64") *
active.current_price.astype("float64")) / sum(
active.qty.astype("float64") *
active.current_price.astype("float64"))
active.port_weight = round(active.port_weight * 100, 2)
active = active.sort_values(by="port_weight", ascending=False)
max_y = max(active.port_weight.tolist()) + 5
if form1.validate_on_submit():
ticker = (form1.search.data).upper()
if ticker in tickers:
return redirect('stocks/' + ticker)
else:
flash("No stock with the ticker " + ticker + " was found", 'dark')
return render_template("echo.html",
title="Echo",
form1=form1,
echo_status=echo_status,
active=active,
max_y=max_y)
return render_template("echo.html",
title="Echo",
form1=form1,
echo_status=echo_status,
active=active,
max_y=max_y)
def apiroute():
try:
token = func.read_from_database(
"Select token from api_token where user_id =" +
str(current_user.id) + " order by date_created DESC limit 1;",
serverSiteUser).iloc[0, 0]
except:
token = "No Token Found"
form1 = SearchForm()
if form1.validate_on_submit():
ticker = (form1.search.data).upper()
if ticker in tickers:
return redirect('stocks/' + ticker)
else:
flash("No stock with the ticker " + ticker + " was found", 'dark')
return render_template("ai-api.html",
title="API",
form1=form1,
token=token)
return render_template("ai-api.html",
title="API",
form1=form1,
token=token)
def charliehistory():
history = func.read_from_database(
"SELECT * from tradehistory order by timestamp DESC limit 20",
serverSite)
history["link"] = "stocks/" + history.Ticker
mydata = dict({"data": history.to_dict('records')})
return jsonify(mydata)
def echoactive():
active = func.read_from_database("SELECT * from active_trades_echo;",
serverSite)
active["link"] = "stocks/" + active.ticker
active.unreal_pl = round(active.unreal_pl.astype("float64"), 3)
mydata = dict({"data": active.to_dict('records')})
return jsonify(mydata)
def charlieactive():
active = func.read_from_database("SELECT * from active_trades", serverSite)
active["link"] = "stocks/" + active.ticker
active.StopPrice = round(active.StopPrice, 2)
active.TargetPrice = round(active.TargetPrice, 2)
mydata = dict({"data": active.to_dict('records')})
return jsonify(mydata)
def gap_data_short():
history = func.read_from_database(
"SELECT ticker, companyName, close, latestSource, ROUND (extendedChangePercent * 100,2) as percentChange from latestquotes WHERE extendedChangePercent < 0 ORDER BY extendedChangePercent LIMIT 20 ",
serverSite)
history["link"] = "stocks/" + history.ticker
history["watchlist"] = "watchlist/gapper/" + history.ticker
history["upvote"] = "upvote/gapper/" + history.ticker
mydata = dict({"data": history.to_dict('records')})
return jsonify(mydata)
def gap_week52_low():
history = func.read_from_database(
"SELECT ticker, companyName, close, week52Low, previousClose from lowtickers ORDER BY extendedChangePercent DESC LIMIT 20 ",
serverSite)
history["link"] = "stocks/" + history.ticker
history["watchlist"] = "watchlist/52week/" + history.ticker
history["upvote"] = "upvote/52week/" + history.ticker
mydata = dict({"data": history.to_dict('records')})
return jsonify(mydata)
def wl_data():
#Look up the wl
wl = func.read_from_database(
"SELECT ticker, date_posted, scanner from watchlist_stock WHERE DATE(date_posted) = DATE(NOW()) AND user_id ="
+ str(current_user.id) + " GROUP BY ticker", serverSiteUser)
#Get latest data for wl tickers
latest_close = []
for stock in wl.ticker.tolist():
latest_close.append(
func.read_from_database(
"SELECT close from dailydata WHERE ticker = '" + stock +
"' ORDER BY date DESC LIMIT 1 ", serverSite).iloc[0, 0])
wl["close"] = latest_close
mydata = dict({"data": wl.to_dict('records')})
return jsonify(mydata)
def gap_data_upvote():
upvote_data = func.read_from_database(
"SELECT ticker, COUNT(ticker) as tickersum from upvote WHERE DATE(date_posted) = DATE(NOW()) GROUP BY ticker ORDER BY tickersum DESC ;",
serverSiteUser)
upvote_data["place"] = upvote_data.index + 1
upvote_data["link"] = "stocks/" + upvote_data.ticker
upvote_data["watchlist"] = "watchlist/home/" + upvote_data.ticker
upvote_data["upvote"] = "upvote/home/" + upvote_data.ticker
mydata = dict({"data": upvote_data.to_dict('records')})
return jsonify(mydata)
def stock_overview(stock):
newsdata = pd.read_json("https://cloud.iexapis.com/stable/stock/" +
str(stock) + "/news/last/4?token=" + iexKey)
stockdata = pd.read_json("https://cloud.iexapis.com/stable/stock/" +
str(stock) + "/stats?token=" + iexKey,
typ='series')
#Get latest data for stock
latest_data = func.read_from_database(
"SELECT date, close from dailydata WHERE ticker = '" + stock +
"' ORDER BY date ASC LIMIT 100 ", serverSite)
#mydata= dict({"latest_data":wl_export_pd.to_dict('records')})
form1 = SearchForm()
if form1.validate_on_submit():
ticker = (form1.search.data).upper()
if ticker in tickers:
return redirect('stocks/' + ticker)
else:
flash("No stock with the ticker " + ticker + " was found", 'dark')
return render_template("stock.html",
stock=stock,
dates=json.dumps(list(latest_data.date)),
close=list(latest_data.close),
form1=form1,
newsdata=newsdata,
float='{:,.0f}'.format(stockdata.float),
pe=stockdata.peRatio,
marketcap='{:,.0f}'.format(
stockdata.marketcap),
beta=round(stockdata.beta, 2),
week52High=stockdata.week52high,
week52low=stockdata.week52low,
sma50=stockdata.day50MovingAvg,
sma200=stockdata.day200MovingAvg,
companyName=stockdata.companyName)
return render_template("stock.html",
stock=stock,
dates=json.dumps(list(latest_data.date)),
close=list(latest_data.close),
form1=form1,
newsdata=newsdata,
float='{:,.0f}'.format(stockdata.float),
pe=stockdata.peRatio,
marketcap='{:,.0f}'.format(stockdata.marketcap),
beta=round(stockdata.beta, 2),
week52High=stockdata.week52high,
week52low=stockdata.week52low,
sma50=stockdata.day50MovingAvg,
sma200=stockdata.day200MovingAvg,
companyName=stockdata.companyName)
def baseapi(version, ai, data, limit, token):
# Setting max limit to 20
if int(limit) > 20:
limit = str(20)
#Checking validity of token
try:
token = func.read_from_database(
"Select 1 from api_token where token = '" +
str(token).replace(" ", "") + "';", serverSiteUser).iloc[0, 0]
except:
token = False
if token == True:
if int(version) == 1:
if str(ai) == "delta" or str(ai) == "charlie":
#In the database the table names are for example just "tradehistory" for charlie, but for delta they are "tradehistory_delta", so if delta add delta to the end.
if str(ai) == "delta":
ai = "_delta"
else:
ai = ""
if data in aidata:
#Query db accoring to the requested url and return the results
fetched_data = func.read_from_database(
"Select * from " + data + ai + " limit " + str(limit) +
";", serverSite)
mydata = dict({"data": fetched_data.to_dict('records')})
return jsonify(mydata)
else:
return "Requested data not supported"
else:
return "Ai not found, currently API only supports delta or charlie"
else:
return "Version not supported"
else:
return "Access not allowed, token not accepted"
def chart2():
testdata = func.read_from_database(
"SELECT ticker, date, uOpen, uHigh, uLow, uClose from dailydata WHERE ticker = 'AAPL' LIMIT 30; ",
serverSite)
data = []
for row in testdata.iterrows():
tempdict = {
"x": row[1].date,
"y": [row[1].uOpen, row[1].uHigh, row[1].uLow, row[1].uClose]
}
data.append(tempdict)
return render_template('testing.html', datas=json.dumps(data))
from flask_login import login_user, current_user, logout_user, login_required
import sqlalchemy
import pandas as pd
import stockfront.functions as func
import sys
import json
from datetime import datetime
import uuid
#Globals, TODO add these as env variables?
serverSite = 'serversiteURIstockdata'
serverSiteUser = '******'
iexKey = "<iexKEy>"
tickers = list(
func.read_from_database("SELECT distinct ticker from dailydata; ",
serverSite).ticker)
@app.route('/testcharts')
def chart2():
testdata = func.read_from_database(
"SELECT ticker, date, uOpen, uHigh, uLow, uClose from dailydata WHERE ticker = 'AAPL' LIMIT 30; ",
serverSite)
data = []
for row in testdata.iterrows():
tempdict = {
"x": row[1].date,
"y": [row[1].uOpen, row[1].uHigh, row[1].uLow, row[1].uClose]
}
data.append(tempdict)
def deltawl():
wl = func.read_from_database("SELECT * from week_watchlist", serverSite)
wl["link"] = "stocks/" + wl.ticker
mydata = dict({"data": wl.to_dict('records')})
return jsonify(mydata)
def home():
#Market sentiment data for graph
bears = func.read_from_database("SELECT * FROM bearcounter;",
serverSite).iloc[0, 0]
bulls = 7 - bears
pcvalues = [bulls, bears]
pclabels = ["Bull", "Bear"]
#Trade algo data
#Portfolio data
portvalues = func.read_from_database("Select * from portvalues",
serverSite)
portvaluesCharlie = portvalues.loc[portvalues["code"] ==
"Charlie"].sort_values(by=["timestamp"])
portvaluesDelta = portvalues.loc[portvalues["code"] ==
"Delta"].sort_values(by=["timestamp"])
portvaluesEcho = portvalues.loc[portvalues["code"] == "Echo"].sort_values(
by=["timestamp"])
#Last trade
charlielast = func.read_from_database(
"Select * from tradehistory order by timestamp desc limit 1;",
serverSite)
deltalast = func.read_from_database(
"Select * from tradehistory_delta order by timestamp desc limit 1;",
serverSite)
echolast = func.read_from_database(
"Select * from tradehistory_echo order by timestamp desc limit 1;",
serverSite)
#newsdata= pd.read_csv("https://stocknewsapi.com/api/v1?tickers=AAPL&items=4&token=gkbdbpnccgbbxdxadxs3iijjyvx5pxjdyup1zhcd&datatype=csv")
#bannerdata_df = func.get_iex_quotes(["SPX","QQQ","DIA","HJPX","DAX","PRF"],iexKey)
#banner_string = ""
#for item in bannerdata_df.iterrows():
# banner_string = banner_string + str(str(item[1].ticker)+" " + str(round(item[1].change,2))+"% "+ " $"+str(round(item[1].latestPrice,2)))
form1 = SearchForm()
form2 = WLForm()
if form1.validate_on_submit():
ticker = (form1.search.data).upper()
if ticker in tickers:
return redirect('stocks/' + ticker)
else:
flash("No stock with the ticker " + ticker + " was found", 'dark')
return render_template("home2.html",
pcvalues=pcvalues,
pclabels=json.dumps(pclabels),
form1=form1,
form2=form2,
newsdata=newsdata,
portvaluesCharlie=portvaluesCharlie,
portvaluesDelta=portvaluesDelta,
portvaluesEcho=portvaluesEcho,
charlielast=charlielast,
deltalast=deltalast,
echolast=echolast)
if form2.validate_on_submit():
ticker = form2.ticker.data
print("Added", ticker, "to watchlist", file=sys.stderr)
if ticker in tickers:
return redirect('/watchlist/own/' + ticker)
else:
flash("No stock with the ticker " + ticker + " was found", 'dark')
return render_template("home2.html",
pcvalues=pcvalues,
pclabels=json.dumps(pclabels),
form1=form1,
form2=form2,
newsdata=newsdata,
portvaluesCharlie=portvaluesCharlie,
portvaluesDelta=portvaluesDelta,
portvaluesEcho=portvaluesEcho,
charlielast=charlielast,
deltalast=deltalast,
echolast=echolast)
return render_template("home2.html",
pcvalues=pcvalues,
pclabels=json.dumps(pclabels),
form1=form1,
form2=form2,
newsdata=newsdata,
portvaluesCharlie=portvaluesCharlie,
portvaluesDelta=portvaluesDelta,
portvaluesEcho=portvaluesEcho,
charlielast=charlielast,
deltalast=deltalast,
echolast=echolast)