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4 Commits
e2c412fdef
...
166807e181
Author | SHA1 | Date |
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dave | 166807e181 | |
dave | 55212a5977 | |
dave | 998d3a5f55 | |
dave | 46c1ef3562 |
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@ -119,6 +119,7 @@ class StockPlay(ModuleBase):
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c.execute("""CREATE TABLE `stockplay_prices` (
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`symbol` varchar(12) PRIMARY KEY,
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`time` integer,
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`attempt_time` integer,
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`data` text
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);""")
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if not self.sql.tableExists("stockplay_balance_history"):
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@ -162,16 +163,22 @@ class StockPlay(ModuleBase):
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target_count = self.get_holding(nick, symbol) # backtrack until we hit this many shares
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spent = 0
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count = 0
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buys = 0
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with closing(self.sql.getCursor()) as c:
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for row in c.execute("SELECT * FROM stockplay_trades WHERE nick=? AND symbol=? ORDER BY time DESC",
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(nick, symbol)).fetchall():
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count += row["count"] * (1 if row["type"] == "buy" else -1)
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spent += row["price"] * (1 if row["type"] == "buy" else -1)
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if row["type"] == "buy":
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count += row["count"]
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spent += row["price"]
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buys += row["count"]
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else:
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count -= row["count"]
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if count == target_count: # at this point in history the user held 0 of the symbol, stop backtracking
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break
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if not count:
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return Decimal(0)
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return Decimal(spent) / 100 / Decimal(count)
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return Decimal(spent) / 100 / Decimal(buys)
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def price_updater(self):
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"""
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@ -184,8 +191,9 @@ class StockPlay(ModuleBase):
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with closing(self.sql.getCursor()) as c:
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row = c.execute("""SELECT * FROM stockplay_prices
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WHERE symbol in (SELECT symbol FROM stockplay_holdings WHERE count>0)
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ORDER BY time ASC LIMIT 1""").fetchone()
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ORDER BY attempt_time ASC LIMIT 1""").fetchone()
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updatesym = row["symbol"] if row else None
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c.execute("UPDATE stockplay_prices SET attempt_time=? WHERE symbol=?;", (time(), updatesym))
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if updatesym:
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self.get_price(updatesym, 0)
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@ -226,6 +234,7 @@ class StockPlay(ModuleBase):
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Do lookup of highest valued portfolios
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"""
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self.log.warning("{} wants top 10 sent to {}".format(nick, replyto))
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rows = []
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with closing(self.sql.getCursor()) as c:
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for num, row in enumerate(c.execute("""SELECT h1.nick as nick, h1.cents as cents
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@ -235,8 +244,10 @@ class StockPlay(ModuleBase):
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ON h1.nick = h2.nick AND h1.day = h2.MaxDate
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ORDER BY cents DESC LIMIT 10""", (DUSTACCT, )).fetchall(), start=1):
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total = Decimal(row["cents"]) / 100
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self.bot.act_PRIVMSG(replyto,
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"{}: {} with total: ~${}".format(num, row["nick"], total), priority=5)
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rows.append(("#{}".format(num), row["nick"], "with total:", "~{}".format(format_decimal(total)), ))
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for line in tabulate(rows, justify=[False, True, False, False]):
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self.bot.act_PRIVMSG(replyto, line, priority=5)
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def do_trade(self, trade):
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"""
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@ -261,6 +272,9 @@ class StockPlay(ModuleBase):
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self.bot.act_PRIVMSG(trade.replyto,
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"{}: invalid symbol '{}'".format(trade.nick, trade.symbol))
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return # invalid stock
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if not symprice and trade.buy:
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self.bot.act_PRIVMSG(trade.replyto, "{}: trading is halted on '{}'".format(trade.nick, trade.symbol))
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return
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# calculate various prices needed
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# symprice -= Decimal("0.0001") # for testing dust collection
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@ -382,7 +396,7 @@ class StockPlay(ModuleBase):
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# The background thread updates the oldest price every 5 minutes. Here, we allow even very stale quotes
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# because it's simply impossible to request fresh data for every stock right now. Recommended rcachesecs
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# is 86400 (1 day)
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symprice = Decimal(self.get_price(row["symbol"], self.config["rcachesecs"]))
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symprice = Decimal(self.get_price(row["symbol"], -1))
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holding_value += symprice * row["count"]
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avgbuy = self.calc_user_avgbuy(nick, row["symbol"])
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symbol_count.append((row["symbol"],
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@ -443,8 +457,8 @@ class StockPlay(ModuleBase):
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def _set_cache_priceinfo(self, symbol, data):
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with closing(self.sql.getCursor()) as c:
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c.execute("REPLACE INTO stockplay_prices VALUES (?, ?, ?)",
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(symbol, time(), json.dumps(data)))
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c.execute("REPLACE INTO stockplay_prices (symbol, attempt_time, time, data) VALUES (?, ?, ?, ?)",
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(symbol, time(), time(), json.dumps(data)))
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def _get_cache_priceinfo(self, symbol, thresh):
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with closing(self.sql.getCursor()) as c:
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@ -452,7 +466,7 @@ class StockPlay(ModuleBase):
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(symbol, )).fetchone()
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if not row:
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return
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if time() - row["time"] > thresh:
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if thresh != -1 and time() - row["time"] > thresh:
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return
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return json.loads(row["data"])
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