def run_step(loc_g_q=600, scale_g_q=31, loc_g_p=12.5, scale_g_p=0.07, loc_r_q=600, scale_r_q=31, loc_r_p=11.5, scale_r_p=0.07): #data = cd.create_test_data() data = cd.create_normal_data(loc_g_q=600, scale_g_q=31, loc_g_p=12.5, scale_g_p=0.07, loc_r_q=600, scale_r_q=31, loc_r_p=11.5, scale_r_p=0.07) generators, retailers = group(data) market = mk.Market(generators, retailers) prices = market.match() prices = np.array(prices).round(3) print(prices) final_price = (sum(prices) / len(prices)).round(3) print("final price:", final_price) generators_list = [] retailers_list = [] for i in generators: generators_list.append(i.price) for i in retailers: retailers_list.append(i.price) return final_price, generators_list, retailers_list
def command(argument): cmds = [["quit", "q"], ["restart", "r"], ["help", "h"], ["debug", "d"], ["shop"], ["inventory", "i"], ["status", "s"], ["terminal", "t"], ["exchange"], ["market"], ["equipment", "e"]] # list of commands help = [ "Quits the game", "Restarts", "Displays this help file", "Debug on or off", "Opens the legal store", "Takes invetory of your goods", "Updates the game state", "Opens the in game terminal", "Currency exchange", "The illegal market", "Displays equipment" ] print("\n") if argument in (cmds[0]): quit() elif argument in cmds[1]: print("Restarting the game...") start() elif argument in cmds[2]: print("Availible commands are:") print(tabulate({"Command": cmds, "Description": help}, headers="keys")) print("For most comands you can use the first letter as a shortcut") elif argument in cmds[3]: game.debug = (game.debug + 1) % 2 print("Debug set to:", game.debug) elif argument in cmds[4]: game.shop.display_inventory(game) elif argument in cmds[5]: print( "You do not own anything. Try buying something in the shop or on the market." ) elif argument in cmds[6]: pass #just updates the game elif argument in cmds[7]: print("Not yet implemented.") # will open a 'terminal' elif argument in cmds[8]: exchange() elif argument in cmds[9]: market.Market() elif argument in cmds[10]: if len(game.equipment) > 1: print(tabulate(game.equipment)) print( "Here you will be able to use your items (as soon as it is implemented)." ) else: print( "You have no equipment at the moment. Try shopping for something." ) else: print("Sorry, command not found :(")
def instantiatemarkets(marketdata): global coins global markets window.txtdebug.insert(tk.END, "Creating Market Objects ...\r\n") imarkets = 0 ibasecurrencies = 0 for item in marketdata: # json variables below status = item.get("Status") basesymbol = item.get("BaseSymbol") mintrade = item.get("MinimumTrade") maxtrade = item.get("MaximumTrade") maxprice = item.get("MaximumPrice") symbol = item.get("Symbol") maxbasetrade = item.get("MaximumBaseTrade") label = item.get("Label") currency = item.get("Currency") statusmsg = item.get("StatusMessage") tradefee = item.get("TradeFee") minprice = item.get("MinimumPrice") marketid = item.get("Id") basecurrency = item.get("BaseCurrency") minbasetrade = item.get("MinimumBaseTrade") # Instantiate a market newmarkobj = market.Market( status, basesymbol, mintrade, maxtrade, maxprice, symbol, maxbasetrade, label, currency, statusmsg, tradefee, minprice, marketid, basecurrency, minbasetrade, ) markets[label] = newmarkobj imarkets = imarkets + 1 # Mark the coin objects which represent base trading markets. if not coins[basesymbol].IsBaseCurrency: # Make it so! coins[basesymbol].IsBaseCurrency = True ibasecurrencies = ibasecurrencies + 1 # Update GUI window.lstbasemarkets.insert(tk.END, coins[basesymbol].Symbol) # Let us know window.txtdebug.insert( tk.END, str(imarkets) + " Markets Instantiated\r\n" + str(ibasecurrencies) + " New Base Currencies Identified.\r\n") window.txtdebug.see(tk.END)
def __init__(self): print "Creating BTC-e trader" self.btce_trader = btcetrade.BTCeTrader(configure.btc_e_key, configure.btc_e_secret) #self.bitstamp_trader = bitstampsetup.BitStampTicker() print "Creating Bitfinex trader" self.bitfinex_trader = bitfinextrade.BitfinexTrader( configure.bitfinex_key, configure.bitfinex_secret) print "Creating market for btc-usd" self.current_market = market.Market()
def __init__(self): self.server = None self.timer = None self.world = world.StarSystem() self.market = market.Market(self.world) self.warden = warden.Warden() self.state = LAUNCHING self.next_game_time = datetime.datetime.now() \ + datetime.timedelta(seconds=5) self.pregame_delay = 5 self.tick = 0 self.tick_length = 1500 self.players = {}
def init(self, sid, eid_prefix, start, step_size, debug=False): if start is not None: self.start_datetime = dt.datetime.strptime(start, '%d/%m/%Y - %H:%M:%S') self.step_size = step_size self.debug = debug self.market = market.Market(energy=1.0e3, max_kwh=5.0, grid_from_buy_value=0.71504, grid_to_sell_value=0.5 * 0.71504, start_datetime=self.start_datetime) self.completed_transactions = list() if eid_prefix is not None: self.eid_prefix = eid_prefix return self.meta
def __init__(self, dbsession): self.dbsession = dbsession self.markets = [] self.markets_hash = {} self.markets_hash_reverse = {} # Create a market for each pair of assets self.assets = dbsession.query(model.Asset).order_by(model.Asset.name) for combo in itertools.combinations(self.assets, 2): asset1 = combo[0] asset2 = combo[1] newmarket = market.Market(self.exchange_payment, asset1, asset2) self.markets.append(newmarket) self.markets_hash[(str(asset1.name), str(asset2.name))] = newmarket self.markets_hash_reverse[(str(asset2.name), str(asset1.name))] = newmarket self.order_num = ordernum_generator(69105)
def main(SYMBOL, UNIT, COUNT, PERIOD): args = get_args() assert args.partition > 0, 'The data must be partitioned!' m = market.Market(symbol=SYMBOL, unit=UNIT, count=COUNT, period=PERIOD) ''' m = market.Market(symbol=args.symbol, unit=args.unit, count=args.count, period=args.period) ''' features = m.set_features(partition=1) if args.long is not None: features = m.set_long_features(features, columns_to_set=args.long, partition=args.partition) targets = market.set_targets(features, delta=args.delta) features = features.drop(['close'], axis=1) model = market.setup_model(features[:-1], targets, model_type=args.model.lower(), seed=args.seed, n_estimators=args.trees, n_jobs=args.jobs) next_date = features.tail( 1) # Remember the entry we didn't train? Predict it. trends = model._predict_trends(next_date) # print('Predicted Trend: {0}'.format(market.target_code_to_name(trends[0]))) if args.proba: probas = model._predict_probas(next_date) print('Probability: {0}'.format(probas[0])) if args.proba_log: logs = model._predict_logs(next_date) print('Log Probability: {0}'.format(logs[0])) return market.target_code_to_name(trends[0])
} def get_parameters(): return parameters data = get_parameters() config = config.Config(**data['config']) energy_sources = [ energy_source.EnergySource(**kwargs) for kwargs in data['energy_sources'] ] for ess in energy_sources: ess.tuning_parameter_fit() markets = [market.Market(**kwargs) for kwargs in data['markets']] mpc = mpc_solver.MPCSolver(config=config, markets=markets, energy_sources=energy_sources) # Fake run cc = cyclic_coordinate.CyclicCoordinate(markets, mpc, [10, 10], really_run=False) solutions_fake = cc.Algo5() print("totl: " + str(len(solutions_fake))) cc = cyclic_coordinate.CyclicCoordinate(markets, mpc, [10, 10]) solutions = cc.Algo5() print(solutions[0]) # pe = pareto.ParetoEfficient(solutions)
import market import requests import bs4 as bs import csv import sys marketAPI = market.Market() graphicsCardAvgPrices = [] # event loop like a true programmer while True: cycleWeightedAvg = 0 cycleWeightedSum = 0 toCsv = [] # loop over first three pages of ebay graphics card searches for i in range(1, 3): ebayUrl = "https://www.ebay.com/sch/i.html?_from=R40&_nkw=graphics+card&_sacat=0&_pgn=" + str( i) req = requests.get(ebayUrl) data = req.text soup = bs.BeautifulSoup(data, features="lxml") # get all of the item groupboxes listings = soup.find_all('li', attrs={'class': 's-item'}) # go over the listings and get the prices for each one that has a title for listing in listings: prodName = "" for name in listing.find_all('h3',
__author__ = 'sangchae' import pandas as pd import pandas.io.data as web from datetime import datetime import matplotlib.pyplot as plt from matplotlib.finance import candlestick_ohlc from matplotlib.dates import date2num import bollingerband, envelope, golden, menu, market test = 1 if __name__ == "__main__": # below contents will belong to another file, menu.py me = menu.Menu() # selelct what you want to do sel_menu = me.menu_decide(test) # select what you want to see the result of the simulation mar = market.Market(test) # select starting date and ending date
number_of_issues = 10 # how many issues we create every day funder_starting_funds = 1000000 # how much money the funder starts with worker_starting_funds = 0 # how much money a worker starts with simulation_time = 3 # how many days to simulate print(" [DONE]") # Step 2: load issue tracker print("load issue tracker", end="") sys.stdout.flush() tracker = issuetracker.IssueTracker() print(" [DONE]") # Step 2: load market print("load futures trading market", end="") sys.stdout.flush() bmx = market.Market() print(" [DONE]") # Step 3: instantiate people (agents) print("instantiate agents", end="") sys.stdout.flush() funder = person.PTrivialCase1Funder("funder", tracker, bmx) funder.set_money(funder_starting_funds) list_of_workers = [] # array to store all workers for w in range(number_of_workers): new_worker = person.PTrivialCase1Worker("worker" + str(w), tracker, bmx) new_worker.set_money(worker_starting_funds) list_of_workers.append(new_worker) # print(list_of_workers) print(" [DONE]")
i += 1 j += 1 return x_list, xi ######### ******** MAIN ****** ######### if __name__ == '__main__': prod = {"id": "BTC-USD", "display_name": "BTC-USD"} #CBPRO class gdax: name = "CBPRO" m_cb = market.Market(product=prod, exchange=gdax) m_cb._import_historic_candles(local_only=True) m_cb._calculate_historic_indicators() m_cb._process_historic_strategies() print("Model init complete, training starts.. \n") indicator_list = m_cb.get_indicator_list() strategies_list = m_cb.get_strategies_list() x_cb_list = create_x_list(indicator_list, strategies_list) y_cb_list = create_y_list(x_cb_list) #Binance class bnc: name = "binance"
a = a['prices'] a.pop() plt.plot(a) plt.show() print("end") if __name__ == '__main__': print("Hello") running = Value('b', True) maxRequests = 4 print('Initialization of the weather') a = Array('f', range(3)) w = weather.Weather(a, running, 1) q = Queue(maxRequests) n = 12 pol = CVOUKIVOI h = Process(target=homes.homes, args=(a, q, running, n, pol)) m = market.Market(q, running, 2) m.start() w.start() h.start() print("gogogo") if input("Press any key") is not None: running.value = False print('STOPP') w.join() h.join() m.join() graph()