def printBuysAndSellsCounts(query={}):
for bot in db_bots.find(query):
buy, sell = 0, 0
ops = bot['history']['operations']
for op in ops:
if op[1] > 0:
buy += 1
else:
sell += 1
print(bot['id'], bot['name'], ' : ', buy, 'buys and', sell, 'sells')
def countBuysAndSells(query={}):
buy, sell = 0, 0
for bot in db_bots.find(query):
ops = bot['history']['operations']
for op in ops:
if op[1] > 0:
buy += 1
else:
sell += 1
return buy, sell
def filterByEvalutaion(bar=100000, query={}):
res = []
for bot in db_bots.find(query):
hist = bot['history']['evaluation']
if (len(hist) < 2):
pass
else:
lastHist = hist[-1][1]
if lastHist > bar:
res.append(bot)
return res
def printGoodAndBad(query={}):
good, bad, better = 0, 0, 0
for bot in db_bots.find(query):
hist = bot['history']['evaluation']
if (len(hist) < 2):
pass
else:
lastHist = hist[-1][1]
secLastHist = hist[-2][1]
good += 1 if lastHist > 100000 else 0
bad += 1 if lastHist < 100000 else 0
better += 1 if lastHist > secLastHist else 0
print("among 2000 robots,", good, 'are winning,', bad, 'are losing',
better, 'are improving')
'''
This module is a high-level interface of the system.
'''
from crawlbot import downloadData
from time import sleep
# downloadData(8,way='db')
print("Download complete. Now starting to train.")
sleep(0.5)
from tradebot import Bot
from config import db_bots, forestSize
# Fill up the forest with new bots
while db_bots.count_documents({}) < forestSize:
bot = Bot()
bot.save()
allBots = db_bots.find()
sleep(0.5)
for epoch in db_bots.find():
bot = Bot(epoch)
bot.operate(way='db')
bot.eliminate(way='db', bar=98000)