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@@ -0,0 +1,42 @@
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+from __future__ import annotations
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+
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+import dataclasses
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+import typing
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+
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+import cache
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+
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+def main() -> None:
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+ raw_prices: list[RawPrice] = cache.get('https://refined-prun.github.io/refined-prices/all.json')
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+ markets: list[Market] = []
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+ for price in raw_prices:
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+ if (traded := price['AverageTraded7D']) is None or traded < 100:
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+ continue
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+ if price['Bid'] is None or price['Ask'] is None:
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+ continue
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+ spread = (price['Ask'] - price['Bid']) / price['Ask']
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+ if spread < 0.15:
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+ continue
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+ markets.append(Market(price['FullTicker'], bid=price['Bid'], ask=price['Ask'], spread=spread, traded=traded))
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+ markets.sort(key=lambda m: (m.ask - m.bid) * m.traded, reverse=True)
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+
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+ print(f'{"mat":^8} {"bid":^5} {"ask":^5} spread {"traded":^7} ')
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+ for market in markets:
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+ print(f'{market.full_ticker:>8} {market.bid:5} {market.ask:5} {market.spread*100: 5.0f}% {market.traded:7}')
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+
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+class RawPrice(typing.TypedDict):
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+ FullTicker: str
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+ Bid: float | None
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+ Ask: float | None
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+ AverageTraded7D: float | None # averaged daily traded volume over last 7 days
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+
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+@dataclasses.dataclass(eq=False, slots=True)
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+class Market:
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+ full_ticker: str
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+ bid: float
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+ ask: float
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+ spread: float
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+ traded: float
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+
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+
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+if __name__ == '__main__':
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+ main()
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