Method fetch_markets

python/ccxt/tokocrypto.py:748–902

https://www.tokocrypto.com/apidocs/#get-all-supported-trading-symbol retrieves data on all markets for tokocrypto :param dict [params]: extra parameters specific to the exchange API endpoint :returns dict[]: an array of objects representing market data

(self, params={})

        return self.safe_integer(response, 'timestamp')

    def fetch_markets(self, params={}) -> List[Market]:
        """

        https://www.tokocrypto.com/apidocs/#get-all-supported-trading-symbol

        retrieves data on all markets for tokocrypto
        :param dict [params]: extra parameters specific to the exchange API endpoint
        :returns dict[]: an array of objects representing market data
        """
        response = self.publicGetOpenV1CommonSymbols(params)
        #
        #     {
        #         "code":0,
        #         "msg":"Success",
        #         "data":{
        #             "list":[
        #                 {
        #                     "type":1,
        #                     "symbol":"1INCH_BTC",
        #                     "baseAsset":"1INCH",
        #                     "basePrecision":8,
        #                     "quoteAsset":"BTC",
        #                     "quotePrecision":8,
        #                     "filters":[
        #                         {"filterType":"PRICE_FILTER","minPrice":"0.00000001","maxPrice":"1000.00000000","tickSize":"0.00000001","applyToMarket":false},
        #                         {"filterType":"PERCENT_PRICE","multiplierUp":5,"multiplierDown":0.2,"avgPriceMins":"5","applyToMarket":false},
        #                         {"filterType":"LOT_SIZE","minQty":"0.10000000","maxQty":"90000000.00000000","stepSize":"0.10000000","applyToMarket":false},
        #                         {"filterType":"MIN_NOTIONAL","avgPriceMins":"5","minNotional":"0.00010000","applyToMarket":true},
        #                         {"filterType":"ICEBERG_PARTS","applyToMarket":false,"limit":"10"},
        #                         {"filterType":"MARKET_LOT_SIZE","minQty":"0.00000000","maxQty":"79460.14117231","stepSize":"0.00000000","applyToMarket":false},
        #                         {"filterType":"TRAILING_DELTA","applyToMarket":false},
        #                         {"filterType":"MAX_NUM_ORDERS","applyToMarket":false},
        #                         {"filterType":"MAX_NUM_ALGO_ORDERS","applyToMarket":false,"maxNumAlgoOrders":"5"}
        #                     ],
        #                     "orderTypes":["LIMIT","LIMIT_MAKER","MARKET","STOP_LOSS_LIMIT","TAKE_PROFIT_LIMIT"],
        #                     "icebergEnable":1,
        #                     "ocoEnable":1,
        #                     "spotTradingEnable":1,
        #                     "marginTradingEnable":1,
        #                     "permissions":["SPOT","MARGIN"]
        #                 },
        #             ]
        #         },
        #         "timestamp":1659492212507
        #     }
        #
        if self.options['adjustForTimeDifference']:
            self.load_time_difference()
        data = self.safe_value(response, 'data', {})
        list = self.safe_value(data, 'list', [])
        result = []
        for i in range(0, len(list)):
            market = list[i]
            baseId = self.safe_string(market, 'baseAsset')
            quoteId = self.safe_string(market, 'quoteAsset')
            id = self.safe_string(market, 'symbol')
            lowercaseId = self.safe_string_lower(market, 'symbol')
            settleId = self.safe_string(market, 'marginAsset')