market: colorize mats I'm already bidding on

market.py

@@ -22,11 +22,15 @@ def main() -> None:
 			print(f'{ticker}: bids filled = {a.bids_filled:6.0f}, asks filled = {a.asks_filled:6.0f}, profit per interval = {a.profits:10.1f}')
 		return
 
-	check_cxos()
+	check_warehouses()
 
 	print()
-	for score, ticker in sorted(analyze_markets(raw_prices)):
-		print(f'{ticker:3}: {score:10.1f}')
+	for health in sorted(analyze_markets(raw_prices)):
+		line = f'{health.ticker:3}: {health.score:10.1f}'
+		if health.my_bid >= health.lowest_bid:
+			print(f'\033[90m{line}\033[0m')
+		else:
+			print(line)
 
 	markets: dict[str, list[Market]] = collections.defaultdict(list)
 	with concurrent.futures.ThreadPoolExecutor(max_workers=2) as executor:
@@ -46,7 +50,7 @@ def main() -> None:
 					f'{m.chart_analysis.asks_filled:12.0f} {m.chart_analysis.profits:10.0f}  {format_td(m.chart_analysis.p75_fill_time)}')
 		print()
 
-def check_cxos() -> None:
+def check_warehouses() -> None:
 	warehouses: typing.Sequence[Warehouse] = cache.get('https://rest.fnar.net/sites/warehouses/' + config.username,
 			headers={'Authorization': config.fio_rest_key})
 	for warehouse in warehouses:
@@ -59,8 +63,19 @@ def check_cxos() -> None:
 			if threshold is not None and item['MaterialAmount'] > threshold:
 				print(f'{item["MaterialAmount"] - threshold} {item["MaterialTicker"]} at {warehouse["LocationNaturalId"]}')
 
-def analyze_markets(raw_prices: typing.Sequence[RawPrice]) -> typing.Iterator[tuple[float, str]]:
+def analyze_markets(raw_prices: typing.Sequence[RawPrice]) -> typing.Iterator[MarketHealth]:
 	'''score IC1 based on how much better the other CXes are'''
+	# get my top bid for every mat
+	orders: typing.Sequence[ExchangeOrder] = cache.get('https://rest.fnar.net/cxos/' + config.username,
+			headers={'Authorization': config.fio_rest_key})
+	bids: dict[str, float] = {}
+	for order in orders:
+		if order['OrderType'] != 'BUYING' or order['Status'] == 'FILLED' or order['ExchangeCode'] != 'IC1':
+			continue
+		mat = order['MaterialTicker']
+		if order['Limit'] > bids.get(mat, 0):
+			bids[mat] = order['Limit']
+
 	markets: dict[str, list[RawPrice]] = collections.defaultdict(list)
 	for price in raw_prices:
 		if price['ExchangeCode'].endswith('2'):
@@ -89,7 +104,7 @@ def analyze_markets(raw_prices: typing.Sequence[RawPrice]) -> typing.Iterator[tu
 		if score > 0 and (trade_activity_deficit := lowest_traded - (ic1_price['Traded30D'] or 0)) > 0:
 			score *= trade_activity_deficit
 		if score > 5:
-			yield score, ticker
+			yield MarketHealth(ticker=ticker, score=score, lowest_bid=lowest_bid, my_bid=bids.get(ticker, 0))
 
 def analyze_raw_price(price: RawPrice) -> Market | None:
 	if (traded := price['AverageTraded7D']) is None or traded < 100:
@@ -219,6 +234,16 @@ class PriceChartPoint(typing.TypedDict):
 	Volume: float
 	Traded: int
 
+@dataclasses.dataclass(eq=False, slots=True)
+class MarketHealth:
+	ticker: str
+	score: float
+	lowest_bid: float
+	my_bid: float
+
+	def __lt__(self, o: MarketHealth) -> bool:
+		return self.score < o.score
+
 @dataclasses.dataclass(eq=False, slots=True)
 class AskFilled:
 	price: float