At the same time, a large number of sell orders might indicate an area ofresistance. It’s always good practice to look for confirmation using other methods of analysis. The stock market consists of exchanges in which stock shares and other financial securities of publicly held companies are bought and sold. The National Best Bid and Offer is the best bid and offer price for a security aggregated from among all exchanges in the country.
![bitcoin order book](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgICAgMCAgIDAwMDBAYEBAQEBAgGBgUGCQgKCgkICQkKDA8MCgsOCwkJDRENDg8QEBEQCgwSExIQEw8QEBD/2wBDAQMDAwQDBAgEBAgQCwkLEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBD/wAARCAEYAXYDASIAAhEBAxEB/8QAHQABAAICAwEBAAAAAAAAAAAAAAcIBgkBAgUEA//EAG0QAAECBQICBQQKCgsIDgcJAAECAwAEBQYRBwgSIQkTMUFRFBkilRUWGDJTVldh0tQjQlJxgZGSk7TRFyQzNzhyc3Wys9MlNDZidKGxtSY1OUNERVRjZXaCg6PBJylmd4Wi8EZHVWRnhKTF4f/EABwBAQABBQEBAAAAAAAAAAAAAAAEAQIDBQYHCP/EAEIRAAEDAgIGBwYDBQgDAQAAAAEAAgMEEQUhBhIxQVGRExQWU2GS0RUXIlJxgQcywUJUobHhIzQ1cnOy8PE2Q2KC/9oADAMBAAIRAxEAPwDVVCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCGD4QwfCCJCGD4QwfCCJCGD4QwfCCJCGD4QwfCCJCGD4QwfCCJCGD4QwfCCJCGD4QwfCCJCGD4QwfCCJCGD4QwfCCJCGD4QwfCCJCGD4QwfCCJCGD4QwfCCJCGD4QwfCCJCGD4QwfCCJCP0BB5FPb80cEDuHL70VAJRdIR2wPCGB4QsUXWEdsDwhgeELFF1hHbA8IYHhCxRdYR2wPCGB4QsUXWEdsDwhgeELFF1hHbA8IYHhCxRdYR2wPCGB4QsUXWEdsDwhgeELFF1hHbA8IQsUWaGy6WP+ETf5afow9pdL+Hm/wAtP0YyA9scRRF4HtLpfw83+Wn6MPaXS/h5v8tP0Y9+EEXge0ul/Dzf5afow9pdL+Hm/wAtP0Y9+EEXge0ul/Dzf5afow9pdL+Hm/y0/Rj34QReB7S6X8PN/lp+jD2l0v4eb/LT9GPfhBF4HtLpfw83+Wn6MPaXS/h5v8tP0Y9+EEXge0ul/Dzf5afow9pdL+Hm/wAtP0Y9+EEXge0ul/Dzf5afow9pdL+Hm/y0/Rj34QReB7S6X8PN/lp+jD2l0v4eb/LT9GPfhBF4HtLpfw83+Wn6MPaXS/h5v8tP0Y9+EEXge0ul/Dzf5afow9pdL+Hm/wAtP0Y9+EEXge0ul/Dzf5afow9pdL+Hm/y0/Rj34QReB7S6X8PN/lp+jD2l0v4eb/LT9GPfhBF4HtLpfw83+Wn6MPaXS/h5v8tP0Y9+EEXgizaWDkTE0Mf4yfoxcrQfYRo7qlpLb9+XDcF3sT9VE0Xm5OclkNJLcy60nhCpdRHotgnJPMns7IqnGz/Z9/Bvs3+JP/p8xHA/iLi1Zg2GRz0T9Vxfa/hYmy6DR6lhq6lzZm3sP1CirzZGgXxovz1hJ/VYebI0C+NF+esJP6rFuYR4t280h/eTyb6LsfYtB3YVRvNkaBfGi/PWEn9Vh5sjQL40X56wk/qsW5hDt5pD+8nk30T2LQd2FUbzZGgXxovz1hJ/VYebI0C+NF+esJP6rFuYQ7eaQ/vJ5N9E9i0HdhVG82RoF8aL89YSf1WHmyNAvjRfnrCT+qxbmEO3mkP7yeTfRPYtB3YVRvNkaBfGi/PWEn9Vh5sjQL40X56wk/qsW5hDt5pD+8nk30T2LQd2FUbzZGgXxovz1hJ/VYebI0C+NF+esJP6rFuYQ7eaQ/vJ5N9E9i0HdhVG82RoF8aL89YSf1WHmyNAvjRfnrCT+qxbmEO3mkP7yeTfRPYtB3YVRvNkaBfGi/PWEn9Vh5sjQL40X56wk/qsW5hDt5pD+8nk30T2LQd2FUbzZGgXxovz1hJ/VYRbmEO3mkP7yeTfRPYtB3YWl09scRye2OCcDPFj54+p15cuCcDiPJI5knsAiebT2e6lXVpdNagNtmWqCgh+mUZ1vD05L4JUskkcCiCkoSRzAOcZTEkbUdqJqPkep+qFLWiVCUv0ikTCcdbzBTMPpIzw45pQcZyCeWBFpqtqxYNGvum6bVS4WGK9VWlOMSpPIEe9SpXYlS+fClXM8J+bPjulv4izwVvs/R9nSvjzkIFxZu0D9TyXV4VgDJIusVx1QcgNl77/AK+C1OvsTErMOy01LOsOsLU0424gpWhaSQpKgeYIIxjxBj84v7ul2ssaiszF+6fybLV0Mo4pyVSeFFSSB4dge8CSArsPPBigrzD8q8uUmmHGXmVFtxtxJStChyIIPMEHuju9F9KaTSiiFTTGzxk5u8H/AJvWmxPDZcMl6N/5dx4hdIQiUbR2z6z33bsndVsWq3OUyfSpcu/5fLt8YSopPoqWCOaSOfhG7rcQpMNaJKuQMByuSAL8M1Dip5JzaIEnwzUXQiZJjaBuElmS+bBLoSM8LdQlVKP3h1nMxE1WpNUoNSmKPXKZNU6flFlt+Vmmi060vwUlXMcuf3ufZGOjxWhxEkUszXkbgQf5FXS0s0AvI0j6iy+SEZ5pzodqbqxJTVTsS301GXkXhLvrVNtNcKyniAwtQJ5eEYTPSz1JnZqQnkFt+SecYfTkHgWhRSoZHgQeYjNHW000joWPBc3aAcx9RuVhhe1ocQbHZ4r8YRIt8be9XdOrcTdV3WmqVpXWNtqmW5lp5LZX73jCFEpBOACeWSB2kRgEhJzVTnpanSSA4/NPIYaRnHEtSuFIyeQ5mFNiFNVxmWB7XNG8EEZbcwkkMkTtV7SD4hfjCM61G0S1K0olJKevy3001moOqZl1Caae41pGSMNqOOR74wWK0tXBWR9NA8ObxBuOYVskb4narxY+KQiQtNdBNTdW6VN1yx6IzNycjM+SPOuzSGfsvAlZSOIjOErST/GEYLUqfOUipTdIqDCmJuRfclphpXa262opWk/OCCPwRbFX0s8zqeKQF7doBFx9RtCudBIxge5pAPgvnhH7yMlMVKelqbJo45ibebl2UZA4nFqCUjJ5DJIEZxqDoPqppZTGaxe1quSElMvdQh9Mw08gOYyEqLajw5AOM8uUVlraaCVsMrwHO2AkAn6Df9lRkL5AXNBIG1YBCPuoVFqNyVqRt+jy5fn6jMtyks0VBPWOuKCUjJ5DJIGTGSaj6R6gaTPyUvftFTTl1NK1yqUzDbvGlBAVkoUcYKh2+MVdV08czaZzwHu2AnM/QbSqiF5aXgGw37lhsI7sMPTLzcvLMuPOurCENtoKlLUewADmSc4AETHQ9n+v1dp7VRbs1MglwBSW6hONy7pT87ZypJ+ZQB+aMNdilHhgHXJWsvs1iB/NVhppqi4iaTbgFDMIzXUPRnUvStTa72tOakJV9XA1NpKXpdSvuetQSkK7fROD80edYWnt2an142xZNL8vqSJZycLKnkNfYUFKVKysgcitPfnnFzMRpJKc1bZGmMftAi3PYnV5GydEWkO4b1jcImj3HW4U9ljIP/xKV+nHl3Rtf1qs23566LjtJuUptNa66Ze9kJdZQjIGeFKyTzI7BEGPSPCZXhjKhhJ3BzT+qzvw+pZcmM2HgVFcbP8AZ9/Bvs3+JP8A6fMRrAjZ/s+/g32b/En/ANPmI4r8WP8ABov9Qf7XLd6K/wB6f/l/UKZIQhHz0u9SEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhBFpcUQMkxLY206tSemDerjdJcbYQsTCZFIJnESo5iZLf3OefD77h9IgDsimWm5iQm2J+VcCH5Z1DzSygLCVpUFAlKgQQCByIIPfFxHN+pOlQbRQQm+z+1VZbHkQTw/wB9D/R1R+27+Ht+q9JqnG6foBhEIeHOAffh6eO5eX4ZDSTGTrLtUgZeK+Cn786lLaVmSnKL1l8toEo1NpQPJFo4ceUrHcscsoHIq58hkRF1P2+606iWNVNa3/Kp2bW6Jxlp5S1T0+0Obkw3/FwOEdqsHhHIA+O1oDq3V9O5jWVNDK5DrzMFvh4Zlxk5UqaQ1w4LQPh2g5AKRE92pvuYlNKZlFwUYP3tJBErJtttdXKTgIOHlcPJvgx6SBjJKeHkTw8rNTjBgZNFIGSSPktLnct4jwb/ACzWyjlNYQMTcQ0N+HcD4rx9Pt9VVtvTqZod30d6r3RT2wzTJsqAbmh2ftk++CkY5kZKxjsOTEZ23oVrHr1Sbk1a6gPPOOLmmlPp6pdWfzlxDAwBhIGAfek4QDkHHn07RXWXWKhXBrFK0RM02p9c0sJQGXJ9alEumWaSMKCO0jlnsTxKyImTSDewzaum0zbd80dyZrFBlUsUcyrQbROgeilt3h5NqRyKlY5gHlxclZqmm9kMlm0VhY+pc9okAN9XeRbhx2bbq2ObrhazEnkRgfD4+JKqO+w/LPuyswytp5hZbcbWkpUhYOCkg8wQQQRGwrSas3HbezSUr9pMqfrUhR5x+QbSwXip4PuFI4B7770UNve8KxqBdVRu+4CwqeqTxdd6hpLSE8gAlKU8sAADJyTjJJJJN9dH7umrB2cSN6yUszMP0Wkzk4208opQtSX3DhRHPERvxLMsmHUQewFxlZdu4kj8t+B2fRXaOFrZ5dV2Wqc9+7NYDo7rtupuTUSi0O5bHXM0ecmEtz7jtCclBLMH37wdOEpKRk4OeLHCBkiMZ6QJVAF6235GWfZgU5zy0oI4w1xjquPH/eYz3Zj6qR0hN1zVUlJWc0/pUwy88hpTcrNOB5XEQMIyDlXPswcx9O+3S22KVTqRq1RZFUhUqzUkU+otA8IfKmHXUuFOcBY6kpOO3IJ5jMaXC6Z+HaUUr6umbT67XNaGG4cRmdbZbLwU6qcKjDZWxPMmqQSSLW+iyjo9T/sLunvxV2j/AOCmKW6gDF4XQfGqz/8AXuRdLo9f8Crq/ndof+AmKXagge3C5/51n/65yOk0dy0pxUeDP5LW1tvZ1LbxW2WfkqBWKE1bdxNyz8rWZYyipZ/GJkFolSAD2nhCjy58ie6Ndmo+idW0U1uoVHcUuYos/VZWYpU6ofujXXpy2vwcRyCvHkR24FmN61WqNB0ptSs0eaXLTsjX5OZl3kHCm3EMOqSofeIBj3NPLpsrdrplI+z0o0zXqDNy8xNIbSOsk5xtQUl5r/m3ACMeClJPZmPO9Gqmt0aon4rcvppXPZIB+yQbBw55rocQjhxCVtMcpGgEHiN4WBdIdztKyzy/20muwf8AMpikTLbrzqGJdouuuqDbaEgkrUTgJAHeTgD54u70hpJtKzPmqk1/UpiGNmenCb61hl6vOSwdp9qNipugpBSXySmXHPv4wVj+Tju9CsUjwrQ3r8x+Fuuf4m3PJaHGKY1WK9A3abfyVubUnrW206dafWJXCJeYrE4zTXVIA/vx4KW68sntSHClJPcCnuEVf3z6dItbU6XvWnywbkrrY43eFOB5a0EpcPzFSeBR8SVHxiz2t2iFm6z1elTtf1BmaWaI2ttiWlXWQEulWVOK4+fFyQP+z85jvuK05l9T9D6jRZCZRU6nRmkVCQmEqBUuZYR6Q9HvWgrSQPuvvR5/o1jkWF4pTYm57tecuE9wQBrn4SCcssl0GI0Tqqmkp9UANALMxc2GfNa5rIAN725n/wDGZH9IRG2C8aBa950ibsy62GJmTrLLjRl3CAtQAyVI7wpPJQI5ggGNT9jYN622ocwavIn/APkIi7u+C7K7Y0rYN1W1Prk6jTq48+w6nmMhnmlQ+2SoZSpJ5EEiOz/EHDZcXxvD6anfqPIeWkfMBcLT4DOKWknkkbcZXHhs/kq7Smk1f0d3OWlaVYSp2WFxSD9OncAJnJYzCOFY/wAYc0qT2gg92CZQ6Q7lWrH7f71n/wCm1E4WfVbA3Q2ha97hCWKxbVTlp5SGzh6Qm2lguMn7ppwJ5dxHCr3yYg7pEDitWNj/AJJP/wBNqNZhmNz4vpTRQVjdSeJj2SDxF8x4HapNTSR0mGTOid8DiCPplkvY2JaS0QUOc1hrss07OLfck6YXUjhlW2/3V5OftlE8Oe5KDj3xjCtRd9eo0/cb7enAptMocu6pEs69KiYfm0AnC1lZ4UhXaEpAIHfmJn2YVWmXboFM2j5UlD1Pfm5CbQ2cOIQ+FKSv5spWrB8UnwiiN6WXXtOLim7TumTXJzsi4Wz1iSkOoHIOoJ7UqAyCCfx5jbYNQ0WPaTYgcbYHvjLWsa7YG8QOWfiolXJNRYdAKPJrgSSOPC6nXUHefdGoGlUxYs5bUjJ1WpEMT88z6TKpbkT1ba8lC1EYyScDJGDgj8thoB12fz8W53s/l5aITdsS8mbSTfj1sVBu31vBhFRWyQyVnswfuT2BXvc8s5ibNhv7+z+Cf8G53s/l5aN/jmG4dhmjNfHhjQGlryQNgNs/+lEoqipqMShkqttxtUu66az7mLO1MqdA08tZ6doMuhgyr6bfdmgolpKl/ZE8jhRMQzqXuE3K1ez5+3NQrfTTqNV2zKPLfoDkoV5PFwpWvHP0c/gib9cd5lY0k1KqdiSln06dbkEsqD784ttSusaSv3oHcVGK+a57qqnrpbkjbE/bFOpyZOdE6lxiaU4pSghSeHCv45P4BHLaI4bUSMpJJcNiEeq09JrDWta+tbiVsMUqIwZAydwdnlu8QoTjZ/s+/g32b/En/wBPmI1gfgjZ/s+/g32b/En/ANPmI3f4sf4PF/qD/a5RtFf70/8Ay/qFMkIQj55XepCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgi0untjlpxTLyJhASVtqCxxpCgSOfMHkR80cHtjiPtQta4Wds2LxoGxWyLbLuPo2sVGat6rplqfdlNl/s8m3hLc22nA65lPhjHEj7UnlkYMeDdGyOw7g1Plrskpj2Ot18rfqdEYQUB1/IKUNKT+5trJJUBjHCAn33o0IotZqtu1aUrtDqD8lUJF0PS8wyrhW2sdhB/CeXf2dmc3dtTfXbCtLpir3ZJq9uMhwMexrCShuoLVnDqFYIQj0Txg80nGM8Sc+G6Q6I41o7WurtF3EMmu1zQfyl2/6b77l2uH4rSYhB1fEgLt2HjZS9q/q7ZG32yJZ1coyHOpMtRaLLYbDpQkAJAHJDafRyrHIYAySBGsu6rinbvuOpXRVGZZucqsyuafTLtBtsLUcnhSOQ/0k8zk84+6/r+ujUu55u7ruqJmp6aOAACG2GwSUtNpJPChOTgffJJJJjHY7zQrQ+PRenL5Trzvze7x4D1WkxjFnYlIAwWYNgSLf6LbvdMtPdKaNYVx27XZ2Yp7TjT/AFUsytlwKdWse/cGeSh2jtioEI3eOaPUWkUDaeuBLWnWFjbNQaGvmw95fCczkr2N75NDaevyumad1lEygHgU1ISjSs/xus5RXfcNuSrmu8xJyIpCaPQaW6p+Wky91zjjxSU9a4vAHFwqICQMJyrmrMQ3CNbhWhGEYRUNq4Wl0jdhc4utfhdSajGKqpjMTiADtsALqx+1jchZeh9uVqkXTS6xNvVGeRNNKkWm1JSgNhODxLTg8vCK/XRPN1uu1ipyqVJbqE7MzDYWBkJccUoAgd+FDP8Apj4YRt6XBKWjrJ66K/STW1jfhsUWStlkiZA4/CzYrL7ktzNlax6e0q07cpFZlZuRn2ppxydbaSgpSy4ggFK1HOVju8YhzR/VKu6PXvJ3hQ1qU2n7DPygVhE5LEgqbV3Z+2Se5QB+/hcIxUWjmH0NC/DY2Xide4Of5tqulxCeWdtST8YtY/RWJ3UbjLL1xoVv0y16TV5Rykzj0y95c02kKC2wkAcC1Z5g9sent+3KabaH6az9FTQKxOXLPuPTbz6GGgwt0I4WG+MucQbSAPteRUs45xWOEQhofhowxuEAHoQda19975nhdZTi1Sak1V/jIte27Yv0qEw9VZ+ZqlSUl+bnHlzD7pTzW4s8Sj+EkxP21rcnR9EZOuUO6qfUJul1BxqalkyLaFKafAKV5C1JGFJCPwp+eK+wjZ4ngtHi1IaKpZ8BtsyItstwUemrJqSbpoj8XNZjX69Z6dWV3baUlOS1vJrbVTlpR1tCXWWw6lxbQAURgEEJ59gSIlzdNuNsvW6iUGnWrTKxJu0qecmnVTzTaApKkcIA4Fq55+YRXKEYpcApJqmnq33L4RZpvuIsb8bq4V0zY5IxkH7VJOg+tNW0UvZqvyofmaVN8LFVkUn++Gc++SDyDie1J++DyJMZZup11tTXCo25NWtIVSVRR2Zlp7y5ptBWXFII4eBSvuT24iCoRbJo7QSYmzFyz+2aLX9eO1VGIVDaZ1IHfAc7LN9I9Xbt0ZukXLarzag8lLU7Jv56mbaByErxzyMkpUOYJPiQbbye+HRO5afLuXvZVQanGQF9Q7IszrbbneW3Dg4z3lKT80URhEPG9DsKx6QT1LSJB+00lptwJG37rNR4vU0LDHGQW8CLhWo123qC+bbm7G09txyRpdQZMvOTlSShTi2zyKG2hxJQMD3xJPgBgKiLNtGq1B0Z1JcvK5JSempNdJmJANyaErcC3HGVAniUkYw2rv8ACIqhGam0Vw2kw5+FxNIiffWzNzfaSeKtkxSplqBUuPxN2cB9lfJ/fTojNOF6asiuvOHtU5ISyifwlyMQ1V3c6N3rpzcVpUOy6tLVGrU56Uln3ZGXQhtxacAlSVlQH3hFPIRp6T8O8HopWSxa4LSCPjNsjcZKVLj9XM0tfqm/gEjZ/s+/g32b/En/ANPmI1gRs/2ffwb7N/iT/wCnzEav8Wf8Hi/1B/tcpuiv96f/AJf1CmSEIR88rvUhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRaXT2xxEkq22a992lFwZ/kE/rjr7mzX35Kbg/MJ/XH2R7ToO+Z5m+q8i6rUfIeR9FHEOwcsxI/ubNffkpuD8wn9cPc26+fJRX/wAwn9cDilBe/TM8zfVU6nOf/WeR9FHEIkf3NuvnyU3B+YT+uHubNffkpuD8wn9cUGKUHfM8w9VXqtR8h5H0UcQiR/c2a+/JTcH5hP64e5s19+Sm4PzCf1xX2nQd8zzN9U6rUfIeR9FHEIkf3NmvvyU3B+YT+uHubNffkpuD8wn9cPadB3zPM31TqtR8h5H0UcQiR/c2a+/JTcH5hP64e5s19+Sm4PzCf1w9p0HfM8zfVOq1HyHkfRRxCJH9zZr78lNwfmE/rh7mzX35Kbg/MJ/XD2nQd8zzN9U6rUfIeR9FHEIkf3NmvvyU3B+YT+uHubNffkpuD8wn9cPadB3zPM31TqtR8h5H0UcQiR/c2a+/JTcH5hP64e5s19+Sm4PzCf1w9p0HfM8zfVOq1HyHkfRRxCJH9zZr78lNwfmE/rh7mzX35Kbg/MJ/XD2nQd8zzN9U6rUfIeR9FHEIkf3NmvvyU3B+YT+uHubNffkpuD8wn9cPadB3zPM31TqtR8h5H0UcQiR/c26+fJTcH5hP64e5t18+Sm4PzCf1w9qUHfM8w9U6pUfIeR9FHEIkf3NuvnyU3B+YT+uHubdfPkpuD8wn9cPadB3zPM31TqtR8h5H0UcQiR/c26+fJTcH5hP64e5t18+Sm4PzCf1w9qUHfM8w9U6pUfIeR9FHEbP9n38G+zf4s/8Ap8xFCBtu16zg6UXB+YT9KNhO2C269aGhNq27c9Lep1TlETflEq+AHGiubeWkHHLmlST+GPM/xSraaowmNkMjXHpBsIP7J4LpNGIZYqp5e0gavA8QpShCEeBruUhCEESEIQRIQhBEhCEESEIQRIQhBEhCEESEIQRIQhF2uUSEIQ1yiQhCGuUSEIQ1yiQhCGuUSEIQ1yiQhCGuUSEIQ1yiQhCGuUSEIQ1yiR5tzVk27bdWuESTk4aXIzE75O2cKe6ptS+AdvM8OOzvj0o6PMMzTLktMIC2nkFtaT2FJGCPxRlgeBK0vzFxf6XVrwdU22qrFj3dvs1W0ym9brEo2n67VYROTXUekZhKJbiLjYQV8SlYTgc8q7sZ5fpPbotRLtsHShnTCh0Vy9tTZ9dMbbmeJcqw804GllKeIFKStSTlSlBKc54sZib+i0mEyemGpGjdUUHXrLu+aknGV9pl3UBAJHgpbL338GKl7DrXn5veXaenlSTxyel03ccwwhQOQQlbPP7zqkK++BH0xJohg9R0ErYQGtN8t4tsPFefDFqmIyRucctiyzWbV/eZtrqNJpmrNH0/embkZeFNTKBbhQpBSnjVwLHIFY5HkefZiMh1BvXeVt3btm89d6PYyrTrlal6O57Hu5eBdQtwqCgocGG2nFZIIyACOeYw/pVLvNa3RW/azDgU3bVFkUOhJzwPTD6nSD4egGj+GLBdLkeHbVYZxn/ZnJ8v/hk/Ex2iWDPa8GnbnlkPDcsLcUqwYyXlR/R9Udxm5K46rRdqdl01u2aK75NNXZWklLDzvcGeL0c4wrg4XFAFJUEcSQe95VneptokkXdrjZdCvGyWlpRUKlQilL8iFkJC18ISAnJAypsJJIBWnIMS9p/ctY0Z6L2WvnSNhtuuSloKqiJhtlK+omnnP2xMlKgUqUyFOLwoEfYgFAgERA2gnSUNHSSv6fbl6Zcl/VaecelJJ+nU6XUuakHmuFbcx6TaMpUVAEJJKVpBBIJOFuh+BwUop3Qi1tp2/W99qv8Aa1dJKXtOQOxfrbmr+4rcdqFcdA2sUu0XaJbUvKPOTNYJS8+Hkk8eSoAekFJ4QMjhyTzwMOktze5mraiN7dKdbFnjUlu4JmivTayvyNS2eIFtKePAPEheXMlJAThIJJjPOiBlVSOourEqqUmJUtyNNSJeYQUuNp658gKB55xjMRTY4x0qr5//AFNq39OYisOiOCCJjDTtcBbM77bzxuj8XrNd9nEZKYqdfu53SrW20dKNw9HtQN3vLTLki5RiVLaLKSeNSgrGCRggjPPIPLEfNSL73Za6ajXrb+3ah2cmjWTOpp77tXWoOOrJWnj4ioA5U0vCQBgYySecZ1vomkSO83QSdeWEtMUururJ7AlKFEn8WY9zotmEUnQG+dX68ost3Tdk9UuucHPyRhtCMn7zvlEQ26H4ScWdJ1duqGDLdck58gsrsXqupg6/xa36BR3Zmo+4Cxdd5HQrcZR7cZn6/SnKjTJijKJSkoC1cC1cRSQUtOcsAghPbnl51EvPdzrnqBflG2/USzE0axasaNMey6il9TgU4kOcRVg8RaUcADAxnJ5xnvSAyntW3NaA6lNeiidmJmiurPJIHG3gE+JTMr/FHqdGic37uP8A+u4z+dm4js0RwtmNPJgbqGMWG69zc8rK5+K1RoQ4POtdY5tr1au7VCjXJTdQKbT5W4rPrr9Dn1U8KDDym+XEkKJwQoLHI4PCCMZwMNoN+btdd9Qr3oO32h2a1SbJqHsa8aush9w8S0hfEVYPEWlnAAwMA5OTH77RB/ss1w59uodQ/rXIkDo0QRqXuE5//aZs/wDjTUaLBNH8Ll0krad8LSxgbqjcL5lTq3EKhmHxSsedYqC9LNW96eud41/TTT2i2EK7ZZebrBmErbQtTcwpglJU4QcLSRyAyOffiJV/Yr6TcdtJ0xH/AHw+lEDaF0jcbI6yaxXpt7vmhW5Ne2uqUmpLqcsh8ut+XPOp4QtlwDB7SMRazo/dZNzWul43zVNU9RZOu2jabnsPLOSVLlGGZ6oFZJW2620lZQhtIV3A9e2e4x2FPgOjs0r6dkDC9m0W2XWrmr8SjYJi86p2KvVc1Z3p2trLT9tlWo1hG+q71Dsk4lKzLpQttxYSVhzh5htXaOWB25iURpZ0m4I/uTpj+fH0ojGY1Ok9WOlfty4KYEGnUuve1+TcR2OolJR9K1k95LinD/F4fDJsFva153FWNr7YOkuh19063/bXSph9Zn6fLvtdcguK4lLcaWpI4GyMDlnEZjoxgULHSPpmgC5OXBY/aVe9zWNebkKJanfm7HRHVWwLO3CUaz106/pp+UlRSCVOo6otJWviCsDCphrkQcji7MZiyWAMgRXB/SvdHq3qXY977gdUrarkjYs09N09NLlENOZcLSnEegy0DlTDWeLOOE47TmyBxnl/oxHiGnvsgVcYwoAC3xW2bcvuuxwUVfQuNUbm+SQhCODW4SEIQRIQhBEhCOMjGe7OIAE7EvxXMI4yPEQyPEQ1Sq5LmEcZHiIZHiIapTJcwjjI8RDI8RDVKZLmEcZHiIZHiIapTJcwjjI8RDI8RDVKZLmEcZHiIZHiIapTJcwjjI8RDiT4iBB4JkuYRxkHsMc9sVIsbKnikIQiiJHB5jHjyjmOD2Zhe2aKJdm1QXZW+zWayHlAM3dSJauIxyy6ypKsY78ibeP4DH37UNMzQOkG3BVMsBLVJSlTRx732QcTMJA8MpSYxNEw5YnSH6U3GnKZa8KRMUVZ7OJxCHRz/Llx+KLsy1kUnTu8NTtY0JbQ9cshIzM4oduJCWdQCf8Asn8Qj6y0Wquu4NTSn5R/AW/ReYYszoayQDetQW6WpuX5rlq3qXxcbadQqbb8uo/By7LzGR3YKZNs/hi7nSsSbdR0D0zp7yiluav+msLKTghK6fOpOPnwYopUJJ+d2wSt+TrZ627dUhUEqI5lCWX0c/8AvA9F5OlqmHZbbhp9MyzhQ8ze0i42pPalQps8QfxgRMo6k1TZiw7HED7ZXSpjELogd4BWH7X9bndq90TO03cF1S7Gqjz5ta4ptH7VLTqjxS75V6IbVxnPc2okH0FJI8vXHQC69kFyO656Isqr2llUmEqr9AWnrFUpKj6LjSuf2LnhLnLh5BXEkgiMtZtrWqtU2m0zcpWdwtev+TmKdT685QpinrS3INTCR1yy4ZhwKLPHwqUG0jCVE4HKLL9GPeF16wberw081CVMVq2KLOKoNMnJxGeukXZb7JJnJPEGgoYyThLoT2JEWspHVVJ1XEAHEixsMj6K18wil6xTm2exY70cNxUq79yWvd00J/rqfVk02blnMY4m1rdIyO4+I8RFebI/3VR//wB5tW/pzES10SEnKUjVXWKjSzgW3JS8myyQc8TaJmZSFDPPsA/HEXWRTKiOlcmZQyD4eb1Fqs2pstniDJDzgcx9zwKSrPZgg9hiTTQCniZAzY3LkAsUr+kke87wpM6WOvO2zrPptWpdRQ+1aldYaWBkpW8hTKT+BTgiT25g6HdEsmaaSWJh608hJJyH6pOfSm/wfNEM9MPwTWqunMi2Qt32BnMoSckcUygJyPnKSB94xdnWK7Nvuhuh9sWduGkKfPWu4xJ0duRnaZ7IMPvS7SSniZ4VA8JbCgSORx3xIa0dI529YnE9G1qg3pH2V3PtGsDWClJLj1tVii19KwffNPsKbxnwLjrJz8wjr0Yc7L1G8Nw9Rk3ONicvFqZaUOwoWubUk/iIiRNeKlprrx0f111PSNphdqIoLiqMy1JmWbYTTX8BtLRA6tLapUpAAGAkY5RCXQ3Lcct/VZbyypxdRpRKj2n7E/Froh04k32srtc9Xc3xXhbRP8LNbv8A3h1D+tdiQejS/fM3B/8AWVH9dNRWrSHcppdohf2sVIvyozjMzUr8qUywJaWLw4EvupOcEYOYsJ0WFekLmu/XK4qU4VyVUrctNyylp4VFtxyZUkkdxwRyji8GoKmDSKtqZGEMfq2JGRyW4rpWOw2JjTcjaq40PUhOmVibka6xMFqfnL8qNLp+CQovvPPpykDvSjjVy+4i3dJU/sS6PIzy2UU68pil+UJaWObVbnwOBKh9t1HEnI7CGCByMUw2+aa1LW3ezUrAfSX7col91u7as0QS2US86pKVLHeSstNjw6xXcTE5dJrrrZlS1ssDQ67qkpu0baebr10oZ9Ncy65nqpcoHPk0lWf8oz2pjo6ahZQvqKtou55v45CwHjs/ioUspqejgOwKMdBNODptr9tZk5tpXspWH6lWKktY+yLeeZJTxk88pbDaefgfGL47ntpmiG4K6qPc2p17VKhVClSK5OVRKVKXluJouFRUQ6hRJzkZEUxtfW6wdbt7GgtV0/m5l+Xpk9PS8x18uWilSmFlOPEYSezwj2+lIOnPumtMBqoXRbIoEz7IeTfu/D1jnBwY5/unV5x3ZjFhFRUPwwT1bDrm5LbZ7Tlbjbcq10TTV6kTrAAWK77erfkdMdyGsOjdp3LP1a0qAinPU9c1NJmCVraQpSwpICMkuKB4QM8Cc9kWZ/AfwxVPbNqftGt2srsrSB+dk6lX1ttqdqDTnFMqTxFDQcOQMZXgcsknvxFqxzHZiPnvTtzpsXdL0RjDgLAi2wWJt9Qu7wgBlMGa4cd5C5hCEcctkkIQgiQhCCJkDmfCNLuo+r2qsvf9ySkpqZdjLTFXnG0IbrMylKUB5eAAF4AA7hG6E9kaOb3abmNW69LPJ4m3rhmULTnGUmZUDHs34RxRyGq12g21dv3XI6Vvc1seqbbV2GsWrxBP7Kl38v8Apya+nHH7MurvyqXh68mfpxZPpIdvOlW3e9LFo2lFvvUuVrduCozqHZ16Z6x/rMcQLqlFPLuGBFPOAHvPZmPaerQfIOQ9FxnSyfMVl/7MurvyqXh68mfpw/Zl1d+VS8PXkz9OMQ4B3mARnnnl3w6tB8g5BOlk+YrL/wBmXV35VLw9eTP04fsy6u/KpeHryZ+nGIFHLI7u2HABzJIGPCHVoPkHIJ0snzFZf+zLq78ql4evJn6cP2ZdXflUvD15M/TjECjHjgdsc9XyzxAQ6tB8g5BOlk+YrLv2ZdXflUvD15M/TjkayavE4Gqd4evJn6cYeUYOI+6hStMmq3T5Wsz6pKnvzLTc3MpQVqYZKwFuBI5qKU5OO/EOrQfIOQTpZPmKyI6yavDt1UvD15M/Tjj9mXV35VLw9eTP04kTd/pxt70y1Kp9B246mOXrbr1HZmpucXMIf6icU44lbQcQhKT6CW14xlPHgnIiDQ3yyTiHVoPkHIJ0snzFZd+zLq78ql4evJn6ccjWXV3P76d4evJn6cfnpTpjX9YdR6BpfaszJM1a45xMlKOTrim5dCyCcrUlKlBIAJ5JJ+aPY170Wq+3/VSt6T1+sSlTqFCU0h+Zk0qDC1LbSv0OIBRA4scwOzu7IdWh+QcgnSvP7RV3+jUu+67uoV9uXTdFWrC5aakUsqn512YLYKXchPGo4BwM48IunFFeizAFA1CA/wCV0/8AoPReqPmX8QmNj0gmawWHw/7QvScBOtQRuO3NIQhHFLcJD78I4Oe4ZiiKvO7luq21MaY60UilzM47p5dsrUZnydHEtMoXG1ug/wCKosNp58vS+eMj1u6TfS6/NHrysaxbOvdivXHRJulSDszINIbbcfaU1xEpcKhgLJGAeYEcaqbpbE05r4sal0yr3ddTmU+xFFY61bRx2OK7En/FSFKHaU47cWou8O15GuSdE1W0rubTl6dXwy05U5MmWJ7uJZQlafvhBSO0kDnHt+i+LY5hWDhjaJz2C5BvY2OezbkuSxGjo6uq1jKAeCj3WHTG4LZ2YafUWVoc0t62qhI1eqyzTZU4wHEvqeUU9vJ1/B8M5OACR727rdTZG8WybE0b04tC72Ko1dklOPqm5FtKPJxLTDCylSFrwQXwrKhgBJJ7MRn+o+7K07IvB2yKHZlyXnUpWVZmpwUOXD7cuh1KVt5UDkkoWhWQOHC088nEYyjejISR8pntvmpUnLoGXX/YtI4E95OSkf5xEnAsU0hpqN+rRFxeXOBvb82f8FbWU1DLM3Xltqi1vovv0T3LXXsnps1oTrzY9XuSxmXnlW/cNMlg6kyzhJUwttZCFDJKuAqCk8SgQpPCqMnvHpErduKy16V7QtGq+a7VGVyEgpdKak5OlhzkXg2ypSRjiKsq4EA81HAOf2Y3QaNVvS2q6myNaXP0qlIQZ2Q6gGcQ4shKGiyogcSlHAPFwHmeLAJEfSG8uSbZS7SduOo4l3QFoWxSkBLiTzChw8iCMcx+OJlBpVpBU05jFATI3Ikmwv8AQ5rBPhOHskDzKACsZsrSzWfZdXbe1x03Q/d76ZBUrfNGbPF5U2tzjWGgBxKCTwYUkKUFN8RBQpYE+jpQNtTLz11y2kl1G8HpbqFcNHlUvrA5hkzQc4yjPzY+aMS0/wB3+md5XCi0bhptbsquPFKZeUuCV6gPKUcAIWCQCe7j4cnknMePdO7eyqLetZoFsaSXXdsxQZtcjPVKj01DjaZlBIWgKzxciCMkDJBxkczhwnSfSWFxpKqiL3jO97Zf84K+rwuglAlZKGhQVrLW9U761ms3djrtZc/TLXfr8glqkSjCnZmRpMm+l9tlSVAYLnE8Rx8JUorJCQUiJR3La925vqv3TDT7Tm0bjYkKTUX5urKqcolCEsKDfGvLa1ADgQsZJHNSQOZEe0ree46koVty1OUk8iFUwc4+OV30WtNOuyFD0Wv+aqcuSmekpeQaLkthWMKCVk9vikYPLtib7d0m6F7H0HxG9jrCw4cvqsXUMP1mubNkF5e3TdtYuhG3u49ter1lXgqfE3V5IJlJFCkIYmgQpKuNaSD1i3T2YwQcxi2wXdPaW0+i3fTtTLRut565nqfNSZkKekgtttuAqPWqRyJWCkjII74kR7epTmj5XWtvepUtKtj7K+7SUFLafE8RA5ffEZ6rc1oxOaZVHVan1g1CmUkITMSrbIE6h5Zw2yW1kBKlHsJPB2nixkxSbSzG6ERifDznYXvtJy4G10GF0c+sGTbV6y+kr2nuuKdd0auda1qKlKVbsmoqJ5kk9ZzJiBNpW8XTrb/e2qtxXTaF1qp991kVOkIkac3luXDr5AUlS0gY4wPRyMpI7oydreXLPtIel9uGo7jTiQpC00tJCknmCCBggiMksTd5pLedcRalxUur2bW1FKGJK4ZMMJcycAJWCUjJ7AvhyezMZ6nSjG6WPp34c7VG2zgTyssceFUMh1BMM1B20jc5aegGt+peq17WjdbtHv1ybepXktPBcUlyfceBVxqSk4SoA8JPpAiLTTXSa7V5+YXOVDSG6pqYdOVuv0GUWtXdzUp0kx62pWpNhaV22q5r6qrEjJNZQygt8bjy8e8abHNR7OzkO04HOIOTvHcflPbHLbbb8etjHF7KCRGeDvVwhJbI+cO4+eIuF6aYpi0RkpKBzm8b2z8LhZKnBqSBw6Sayi+8Nxtg1ne5a+5m2LFuKSsi3kSjU3Lt0xDbocSxMIOEoV1YKi4kjKwSAfCLX1LpQNsNYdS/WNKrvnnEDhSuYokq4oDOcAqdOBH0aaat6dasWsq5bMrEu9JNJ4pxl1KWnZNWMlLyD73AHvuaSBkEiIqr28Cz3a9NW5pRplcOokzInEy/SJT9qoPfhYQtSvv8HCcciYpSab4pWVL6aKgcXtOedrfW4/7VZ8GpGMDzNluWKawa7ae7odfNE3NFtPKxSE2rUp1+qmZpbUsC24uVWlf2JSshIl3MlWMcQx2mLbDmIhLS/dPp9fFyKsat0GqWTdRwlNMrUv1JfUftW3MDJyOQUEE9wODjGpve7bbs9PtWjpTfVz06RmHJb2Up0gFSzykH0iggn0ewjODggkCOM0rgxzSqsDRSFpjba31O25sFt8NdSYbAR0gIJVk4RW6Z3z6cTMrR/adZ123RUapKKnHqdTZNC3pFKXCgpdwo+lkZ9HI4SkkjiTnL9H9y9t6tXTO2Qq0ritivScn5f5FWZYNKdl+IJKk4JPIqTyIGQeWcHHIVGieL0lOaqWAhg2k7vstpHiFNLJ0bHglTFCEI5zZkpiQhCCLg9kaO7x/firP/AFkmP0pUbxD2d34Y0f3Wy49rPV2m0FS13M+lKRzJJmjgCPafwg21f/4/VcfpZ+WL7/or0dLVNUaS1q0cnLiprlQpUvbcu7PSiHChT8umYBcbCgeRUkEZ5YzHp7ar72bbu7/mNuL+zm37JlKlTppdGr0hPl2poWyOIdY91aV8ZRxK4itY4khJCgcjPd6mjtK1+3taAaPV2acl5Go24tdSDSuB0S7PWvuIB+1KktKSD88e5oZuLlqTvqc2laQaT2jaNgW1MVClvuSlN/ujOPyjSwp5x8nsK0kDIKintUc8vas1xSr/ALWttWl95Ufc1t6uuzqZVL8slufdtatvBQmkqQl5lJAScBIcal1Y5/uyhGFbM9I9LJnbLrzr9qvZlPrzdq01MnQ/L+Lgbn1NKKeHB5KK3JdPPPvhEibedRWbD6Vq8KXUJpLMheNw1m33wpWElx1Slsg57Sp1tCAPFYj0t5ttt7ZdlkrojJAy89qLqVWqxUkYx1knLTbgZyPAoZkVD+L+GGaKv2g+5zbVpRZdAtm8dnlv33Vy86bhr1WnA6682p9ZR5My42tCClpSRyKAop59vFEo7ttklgW/vC0u0+00cNBs3V52UW2kOFzyEqfCJgMheSfsakLQlRI4l8OQByzPU6rWt0b2jemVM030ytmv6n3xSU1msXTcEkJ3yT0EFbUsj0SlPE5wpwRhLYKgpSsjr0uVx3HT7l0Cu2Um3adXpShO1JqZliWly02lyWcC28e8KVgEY7MCGaLwd1WoG07b/ct2bXqbs2ok0qi0gykndczPqTU/L3ZQOMTKiGw4pAcWgkdcOJIJAxhBxXaBt90YtvQG695m5m33q9bFDmfIrfoAcKEVSZStKMqGRxgvKDYBPDlLhUCE4Mx6a3tY3SiaUXBp9q5abFI1fsahLnKZdsihIEyhGeAuDGQkrIDjJykhSlIKFH0cO1Hp09cnQ5WAu2mQ6i0LyeduFLKv3FHllQaysDtBcm5U8/uknwioReFote23Xdvu20xtiV2qWrY9DbZqjNWpci8HWKmTLlbK1htpoAtlHLl2q7Tyx+O+VvZ9o3JV/bfpNpqp++27gTVKjci2EcEglx4u+x7S1KKwhDS0IwkBOEjJUoqIjToyEKG9KwDg4C539FdjDd6SlubwtUFOLKj7a5kZJ7gsACKorX7mtA9DbD6SPR7Syhac0iQs24ZKkCo0dtKvJ5l2YnpxlSlAknJCWhyP2ojNb3d2E6FbpTtgqW22lV5u6Z5lutV6bmM+wTs6gGVlpVopJDaULaKlJcQodZxZUU8Mdd7JB6V3QEj4O1/9cTUV73uUKszXSbVaQlpJ8TFRuK3FSgCDl1KpSSSFJ8RkEZ8QfCKG6KWtK9NtPNofSKt6LzGmsvdktclQp8zaFZnp1TUxQGlodWVICUEPqyS2clOQ2knmSIwfpPdVNMqhq3eemMjoPSafeElUZR2ZvdFTcXMzbYZSS2Zco4UghSRnjPvRE47lKlKTPSzaN0+XeCnqfL05uYA+1Urr1AfiIP4Ypx0laT7tHUM47ZmWI+f9rNQCKbuizz7X9Qc/8rp/9B6L0xRXosgRb+oQI/4XTz/8j0Xqj5i/EX/yGb6N/wBoXpuAf4fH90hCEcQtwkYjq5dU3Y+mF0XbT1BM3S6XMPy6iniCXQghCiO/CiDj5oy6Iy3L/vC3x/ND3/lGxwhjZK+BjhcF7f5hYagkROI4FdtpEhYG2PZjPbrrmoLtcuauyj1YqU76Lk7MlcyWmJdLy+aEqWUqUfulqUoEjESJopq3pt0jmiF1UK+tM00oyc17Hzki9MCaEu4tvjYmpaY4G1BYznPClSVJI5g84srfLofZQ/8As/J/60RHxdDZ/gTqd81ZkP6hcfXsYADQNll5S8Fwc87brAuinpU1Q9yuqFBnJtUy9SaGqml5RyVBidQ0n8AShIA7gAIspXekHtu390r+2OvaazoSmry1ERXGqihxKnn2m1tqVLFsEJ4nUpJC1EduD2RAPRqfwv8AWz+Qnv8AWgjvfe0nX67ekOmNUpGwXmrM9tdNrHs29NMBgy8uxL8ZCePrCSptSQOHt+bnFI7hoA4q6QNdIdfgo56U/Seg6TasUq6rHl26VJ6j0yaXVJGVQG2lzUq8ypbvCOQ4+tZUR90gq7VGLyXvuDY2ybQrH1QftRy4kt0mhSBkkTolVEvS6BxcZQvsx2cPOKhdMZclHqF/ab2pJzaHajR6PU52dZSQSy3NOy6WSrwKjLO8vmHiMy3vp59HFZR/5u2P6lMUbZrnFqOBe1gdsusluWZ0k6RrahXb6YsxykXFbyZ1Mk5MBBm6ZUWGQ7wNvpx1jLiVIBBwFBXNIUkEYN0O0y9O2RqhOzUwt5+Yr8o664tfGpa1MKKlEntJJJJ7yTH19GJ/A81H/nmqf6uYjzuhs5aeak9v+3cl2f5OqLgM2u32Vp+FjmbgVkD/AEnd0zVer1ItTahctxMUCrTVKfm6fV1ONlxlwpyQiUUEkgBXCTkAiMO6Om4qheO7zXG7axbU1b07WmDUXqVNEqeky9NlwNLJSkkgLHPhHdyjxby2rbt9vFC1O1QtHUi0pS3G5qrXjOSiUqefcQkLeIAcYI4+rSE44sZHaMx+vReXlUtQtyGqd7VdplqerFAkX5hDIIR1gU2lRSDnAJSTj54hRPq+tuZI1vRbiNv3Wd7KcU+tGbuU+K6Q22md0M3tmrumc9LhuuewDVban0PIcfUE8ClsFtJSglQBwtRHgYpd0o2lVv6Q6yoqljSzdIpuoVFcnahISiQ2wZtl8dYsITyHES0vs99xHvMSlP7RdwNe6Qec1TRYL8rZqLzRWxWZiZYSyuWb4CSlAWXCVFOAOHt8BGJ9MTcNKqOrFm29KTaXp6jW5NOziUnPV+UPAtpPgSGlHHgR4xLf8TTrDYrIbMkbqncrz6oa+M7a9rVvaqv2wu4USlNo0qZBucEsVF5ttAV1hQvGM5973RglyS+jHSJ7V6hetOtkStZk2ZtEk6+hAn6NVGUBZa61PvkKBbJGeFaFoUQDjhzDWfQap7kdpVB0ro1yy1Dmpyn0SaTOTDCn0IDKG1kcCVJJzjHbGIIte2+jr2ZVqnImKpck+TNPzE7K01zgmapNIDaHHAniTLspCGUcS1YwhIyVKAOUi4z2WWBpa21vzXVQNiVAm92OvFKXrQ4mt0nS22kuS0jMjjRNzAfShlTyTkLwMlR+2LTecgmLinfza7W7RG1hGnUyZQzoons4JxOBPlvi4PJuD9x+14+POftcRWDogZd2V1k1AQ842ta7XkXyptYUk9Y6lwDI7wF4I7iCDzBjCXsnpYU8v/vFR/ViI1PFHTxhsIAClTl00pLzmAvd6RjSaX0U1op87pROLt6n6x096Tq9PkgG2S83MMh3hA5JQ71rZUkd/WdyyItfq7qnpv0a+h1o23ZOmjdZm6k8ZVphuZTJeWPNoSqZmpmY6txRWcjHoqJyB6KU8oV6WblqhoX8z0/+lSMff0yX+Cml/wDONR/qmYvDGRuc9ozO1WXdI1jXHJZ1unounm67Ze1uUoVCVSa9SKSLhpE64kInZQtLxMSqnUc1I4kLA7uJCFDBAh0VJK9plwKWPSNy1MnI7/JmI+TTsHzSD3/Uur/pUxHo9Ey0iY2uVZh0ZQu66gkj5ixL5i9oGsD4Kwj+ycPFYV0amktJ0G2+1/dJqSlEk5Wqa5Nyxc5GWosuji4jnsU84lSgOeUpa7yRGK7X2a9qpeF67rb3aV7KXxOOStKSsf3vTm1JSEI8Ejqm2we/qc885Mm9KCurWdt6s2wrcbTSrEm65J0msrlycsyrKOKXax3oy1xdvMtJ8Yy21qZRqJbNKo9uobRSpKTZYkg373qEoARj8AjzT8T8XkocPbRR3vIbE+A288l0WjVMJ53VDjs2L1IQhHz4u5SEIQRAcHMay9HNyWgWg11XsvUrblJX/dCLvnKlSatMPNp8iSlYCGwFpV2OJUvPir5o2aRWSs9Hjt9r1Ynq5PrunymoTLk09wVNATxrUVKwOq5DJMej/h/pPQaOdP12/wAerawvsvtzC5/HMMnxBrBDbK+1Uvu7e/qrdm6anbpnWJKWq9FmGhTKW2VeTS8igKR5Ln3ygpC3ONfaVOKIAGEiwyelB0nt7UtGsFg7UaRS7wrKwLmrD1Q45iaa4MLQwQnDalKCeJZGSE8wScjP/Nubcfu7r9Zo/sYebc24/d3X6zR/Yx6V7z8B4v8AKPVc52ZrvDn/AEWvu9dZ524NwNR16oEiulTsxcqbklGC7xmXdS+Hkp4sDOFJHPESTvc3kTe8C7bdribS9rtPt6nLlGpNU35QVvOOFTjnFwgcwGwBjPonnzi3fm3NuP3d1+s0f2MPNubcfu7r9Zo/sYe8/AeL/KPVOzNd4c/6KE6F0iVhV/Si0bQ3A7cqRqPc2n0umWt6rzc4W0cKEpS2X0YKlHhQ2FjJSsoCiMxjOt2/aT151F0h1Hv3SOn1F/TtpXsxTXZr9pVl5XVKWUoKSWkdY2VBBK+RAJODmyJ6Nrbif98uz1mj+xh5trbj8JdnrNH9jD3n4Dxf5R6p2ZrvDn/RQvXOkI0qsixrmoO1rbPStN6/eEouQqNaVNdetllYwrqUAciATwjISk4VwnGIjXaJvZq22qm1+wLlsuSvbTy6QVVOhTawnhdKQhTjZUlSTxIASpKk4VwoOQRztn5tzbj93dfrNH9jHHm3NuX3d1+s0f2UPefgPF/lHqnZmtHDn/RV3O8/Qu0NebA1f0X2zSlnSVoNz3l0hLT6Urqa32+BBUoIISG/Sx2++I5YiuutepqNWtYrq1VbpJp6bkqztTEmp3rCzxqzw8QAzjxxGxLzbm3L7u6/WaP7KB6Nvbkf98uv1mj+yh70MB4v8o9VQaM1p4c/6KD57dGzu36QXQ/Utm0l24mQrFv0XyRU35QVFupLd6zi4RjPX4xj7XPfFid0u+bSzRvdLdNPvLbXRLsvSxHJZm27kLwadabdk2n0pdylRyhb7gCk9gxgA5J/fTzYpoXpjftuaiW6bnXVLZqsrVpMPVFCmi6w6lxIWOqBKSUgEA9kevrXs50Y141PrmrN5IrzNZr62VzSJOfS2yC0w2ynhSWyR6LSc8+3MVH4nYDq613fTVz+u3YrTo1Wg2sOf9FrQqG5fUys7iGtzFYnJaZutqtM1lCCgplkdUoFEulOchoNpDYGeLh7yr0ol7eBvB0h3P0JmqUvQFi2L/mJmXdqVwicS6p9ptsoLQwkEjmnBIzhIz2RZodG1tx+Euz1mj+xgejc25fCXX6zR/ZRT3n4Dxf5R6q/szXeHP8Aoo86LRQ9r+oBx/wunj/5HovVEY6I7dtPdv8AKVaTsFdVU3WXGXZny+ZS8eJsKCeHCE49+c9sSdHiel2KwY1i0lZTX1HWtfI5ABdnhVM+kpWwybQkIQjmlsEiM9y4P7At8EDP9yHv/KJMjHtQbTbvuxq9ZzryWRWKe/JpcUMhC1oISojwCsH8ET8LmZBWwyyZAOBPMLFO0ujcBwKwWuqA6H2USfi/J9n86oj4uht/wJ1NVgjNYkP0dcfjtR1q0jm9Fqtsk3WIlrcnqMl+lqaqz/k8rUJNx1TqVNzOQEONrOUqynl1akE4PDIbGquzjYTo/WqdpFdsjcdVqjrk4xIyVYbqc7UZ4thtvrXEEpaaSEpz70ABRCVLVhX13FLG9jZGuBbYZ/ZeVPa5jnQuHxEqHOjWGN4Gtf8Ak892fzpFj7F3hV6v73bv2tV6h0iUpFIlXVUifZ60TUxMoYl3y25lRRjq3XzySP3MRULo47vp+l24vUSf1suGl2pUKlQGpl32WmkSqS9MvMzQQOMj0uB0K4e0c89hjEbu1Zodr9JbOav0auyk3bKLup7D1VlXg5KdQ/JNsLJdSeHASHs8+xtfgYqJW6gc05FXSRF0haRsC8/f7RhZu5jViTriFTLlzUynVOkzEwSpbSVLZCktknkj7E8j/sYHz2q3zkebisv+JbHh8CmIc6Vyq6U39ULD1H07v23a9UW2puiVNqm1FmYc6nIel1KCFEhKVeUDJGMuCLULru0fW7bZZmlurWrFrGns0ekOzMo1czMq83MMMIwlSkrCgUqzkeIijIwJHau0o556NptsUZdGMeDZ9qMCM5rNUxj+bmI8/obsjT3Uj+e5Ecu/9rKj0tVdfttm27Qub27bTjK3FcV0JmJGSk6PMrny29NJKXZqYmSpRWvh5JSFKVyQAEoSSnFOi4vuw9HqDqjaup170G2akxcTMuZap1FmXUpbLa23OHjUOIBaSMiMmu0PDAc7K1zXGNz7ZEhRii8dyuvsxqTbNY3Vs0S2W7gqltTVHqaJb9sSJUpKkJPAlXAW18Gc55HnEldGhatOsbdBq1aFIqyanJ0mhyMu3OJKSH+bZUscJIwVFXYTGdVza10Y1w1uoXBVNR6Mucqc29OzK036UJLriytZCQ7gDiUeQiK9hlzaL6Nbp9ZaczfNEpFpMNuSFCm6hVW+rmJdE4rqwh5avsvoYPFk5iEymnbVmeSW7NzbAW++0/dZpJYnQdGxljxVotIt4FfvjeHqDtnuSh0eTkbcbmV0adlusD80phTPGh3iUUk8DxUOED9zMa9d+1GTZm4zWamVdpU2/cstIValzcworcYQpTSlsoJzhB9MYHYGgB3x6p1WotodJVPat06uSj9tm91MuVRp9KpVUtMy/ULV1gPDjgW4c5xhJPdGV9K9UtNL6ueytR9Or7t6vvvU2bo1UbplRZmHG+qUHZZRShRIB618ZPelIiRIGztz3H9QqRAxSA22hWr3n3hdVibD6RcNmXFUKHU2mLdaRNyEwth5KF9UlaQtJBAIyDH4dHXqRdm43bbclA1kqDlyJkarNW+Zuc9N2aknJZpzq3VH90Wnrlp4u3h4M5IJOV1259pGtWglA0u1R1ctRdNNNpi5mWauZqVeQ8w2ggFSVhSSFDmPmjFLx3PbUdoeixsHQOq0isVQMut0Ki0GZ8vdfnXSQH5h4KUT6RClKWoqISEpB9FMZy4DMnJRmgkagGagHomaa3RNwOrFEbV1iabTPIkr+6DU+pGfw8MYA8QOlgScj98VH9WI77b6rfOxzVC3dWNVabMrtfUKmrkLhcYaU4umOOvh1pTmOfWJ4UKKfBx1I4lJEXLatzYDNawN7skaoWoa8U+XAm5GRLmY6vg8qMsVcfW8HLHZnnw8XOIlJVQ1kXSQOBbc7PDJSalklNIWyCxIUJ9LL6WqGhhA/wB+n+3/ACmRj7+mRKTammB4v+Mal/VM90Q5usvi8d7upM/eOi1EeftHSmQcapk28hSF1SZLqHH1NA/bEISUI7eFoE4LgSLNtap7QN+ukFDpGt9zSVt3FRHUvzUlOVZFMnJCdSnq3i044Ql1lfPlhQwU8SUrT6N0VTDPLJFG4FzciL7N6oY5ImMkcMl82nasdEi+MHIsurcv/wB1MR9vRPPCX2r1mZIP2O6ais8PaQJeXPIxim6rX7SC29D5LZ1tdclbjq1blmqBLS1He8rl5CRBBcU4/khbisHPMn0nFrIx6X49Grq1pdYW2auW3emolt0OpLuKouJlahU2ZZ5SFMMpCghagcEpIBxgkRlErOk1AcwFjLXdCXWyJUu2beVvdIfszuCWnJKXlqnVUTlOmJRvOafU2Fh2UXzJOcGVd7eYUR2ZEQhs5v8An7s0nRatx8abhsmacoVQQ4CFhLRIaJB7wgBB8S2T3xEPRZ640zSC+qpZ2oFaYodtXpShPSk7UHwxKiclVKQcLWQkFSS4knvLYHcIz6t3BYWnm++dmdL7qotctLV+VExNIpM43MIkqqAorJ6snHE4hS+f/KVn7WON08wpuMYK9zc3R3cD9No5LcYHUOo6vozscrLQgRiEfMq9D32SEIQVEzg4zgxxyMQrvIuy4rJ2+3JclqViZpdTlVyoZmpdfA4jL6EqwR4gkR+Gy27rlvrb7Q7lu6tTVVqkzNTqXZqZc43FJTMLSkEnwAAjejApDg5xgOGrr6lt+y91D663rQpbZ2upxwPCGB4RzCNCplyuMDwhgeEcxxmH1TWsmB4QwPCGR4wzCyrmmB4QwI5isPSA6gXnpzpNRKxY9xz1FnX7gal3X5R0oUtoy75KCR2jKUn8AjaYLhb8aro6GMhpfvOwZXUarqOqQOndmArPAZ5gZjjA8IwDQGs1W4tErGrtcnnZ2oT9Ck5mamXlcS3nFNgqUo+JJMSBEOspnUVQ+ncc2ki+7I2WSKTpWB435rj545PM5POEIwC3FZFxgQIAOCMHwMc/i/DFWdYLm1IqOuCbCtC7J2nJm0S7TTaXyltK1N8RJA+9GwwzDjicjow4NsLm/BbjBcIkxqd0LXhoaC4k7LBWm4T3Aw8fm7YrfL6R7km3mnHtT0FAWCtPljhynPP7WOm5i973oN1W3blt3DM05M3L5X1DhRxuqc4cqI54iczA2zTiGGZrrgnLdZbGHRtlXVMpKaoY4uubjYLC+asng+BjjIzjMVH1BoG4LTa3l3NWdSJh2WS6hopYm1leVdnakRYTRmt1O49M6DWKzNKmZ1+X+zPK98shRGT8+BGOvwfqdOKhkgcCbZcVgxPR80FG2timbIxztXLis0yM4zzgRnkRn5ohndNdFftWx6ZPW7VpqnTDlVQ0tyXc4CpHVOHBx3ZA/FHeb1qb060psm465IzlWfrFOlw64lwBanSwlSlqKu3J5xjjweeamZOzMvNrLDFgFVUUsVRD8RkcWgDbcLLdRdGNM9Vks+3m0ZOpTEuktszfNqYaTn3odQQrhySeEnGT2R4Fl7XdD7Aq7NeoFjSyqjKqC5aZnHVzKmFDsUgOEpSodygMjuMSJblYRcVv02vstLabqUo1NobUclAcQFYJ78ZxHpfNFBi2JUsZoxM4NGWrc28Vz0lHE2S72jWHO4yUe3/t/wBItUaui4L4s+Xn6k20GTNJccZcWhPvQotqHHjPLOcf5o+WR216I0+056ypfT6QFJqb7UzMoUtxbjjzYIQsuFXGCkKUBhQwFK+6OZMhj/6zFI8bxKKNsTZ3hrdgucrbFaaWFzi4sF1DsltC26yMx5QnTiUeykpKJiYfeRzBGeFS8Z55B7QeYwRkfOdm23QnP7HiPWEz/aRNX4oHlGbtLi179ZfzKt6pT2t0Y5LBbB0P0n0vmlT9j2PT6fOrQptU4UqdmOA9qQ44VKSk4GUg4OI8e7dseh9812bue5LEl36nOr6yYebfdY61fetQbUAVHAye09piUoHlGBuNYi2Y1DZna533N7cFeaaEt1C0WUKe4125/J4n1hM/2kfs9tA27OMMS6tOpZAZzwqRNzCVqyftlBzKsd2ezuiZMjGYoBuJ1M16uPeC7ofp1qLNW/LnyGTkUMvFllKnZJuYWpwpBKiVOK547AB3R1GjsmNaRVD4m1jmBjS4kuOQH/a1lf1SgjDzEDc2ACtkxtn0QlbUmLJTp1T1UmbmUTryFrcU6X0ghDgdKisEJUoDChyUoYwTnypTaDt2lHlu/scSrvGhSCl6afdGFDBICnMBXgeRB5jB5xm2k9Cu+2tOqFQr/rYrFwyTCm5+eS4pYfWXFEK4iAT6JSOY7oy2NFPjmJ00r4o6pzhfaCbHx+6msp4JGNc6MA23gZKFfcbbdDz/AGPU8+f+2Ez/AGkZJZG3nRjTqporVp2FIS9RaOWpt7imHWeWMtqdUooPzpwYkb8EIwS6QYpMwxSTvIO4k2VzaWnabtYF8dXo1IuCmTNFrtLlajT5xstTErNNBxp1B7lJPIxD52Z7dVT4nBYhAzxlkVCYDWfDHH/5xNecxyO2MFHitdQtLaaZzAdoBIBWR9PFMRrNB4LzqBb9CtSjy1AtukStLp0ongYlZZoNtoHacAeJOSe05zEf31tm0S1DqzlduSx5b2SfJXMTUm4uWW+o9ql9WQFKPeogk+MV3qurGozXSESmmrd41IWw5NtJVS+u+wEGn9YRw/x/S+/F2Y3WJ0+IaNyQ1Dag60zA+4JvYnYfFRKaSCva9moLMNuSwbTnRLS7SdbkzY1oydPnHm+qdnMKdmFIyDw9aslQTkA8IIGQDjlGOVrahoBX6tN1uo6eSxm591T8wpmZfZStxRypXAhYSCSSTgDmTEuQjUsxzEo5TM2d2sdpuc1KNLCQGloso2re3PRW47epNrVSwKeqnUJC26chtbjSmErPEsBaSFEKV6RyTk8zz5wsjblotp3XmrmtKxpeUqkulSWJpx9x9bPECFFHWKIQSCRxAZwSM8zmSYQdjmJOjdEZ3apvcXO/bzTqsN9bVF0hCEatSEhCEFRV+34/wYrr/lJT9JbiK9C9WJ/RLYLI6j02ksVOYptQfbTKvuFCF9bUC2cqGSMBWfwRKm/L+DFdf8pKfpLcVubz5r1zHb7Jj/WqY9e0Yp4qzR6GCcXY6paCOIIC5bEJHRVzntOYjKytPSGakTVje2+R2/TDssxxGZqflLpp6R1nCMK6vuJCT6R9KLM7c9YntdNLKfqBM0VNLmJl9+Xel23OsQlTasZSTzwRjt+eKvUTn0XUz/IzPIcv+ODEsdHn/BspmSf9sp7v/wCcER9KsLwxmFzzUlOI3RzdHcEm4A8SrsNqKk1LGSv1g5mtu23Webn9aqloHpcq/wClUSWqr6ahLyXk8w6ptHC5xZVlIzkcMYxcO5is0XalJbiGrXkXKhNMy7ppxeUGUlya6kjjxnkOfZGP9I3g7b15767I/wChyI4vsDzYlHPf5JIf6yiPo7gtBV4XRzzRgufPqOOebbbNqy11ZNFUysa7IMuPqs3uTelctC2xWrr03ZVNenbgrjlJcp6plYaaQnyn00qAyT+1xyx9sYwqs9IZqPI2jI3Ujb7My0i8lsO1CbmHRKOLV2dUrqxyODjmeyIl1B/3OXTQ/wDtm/8A/wBhEobhVqHR6aeKCjksUbP5lUdUzAMGgfGx9MHdJO+Pa4WAJtvztay1Tq6skDnNkI1WB27w8FL2oe8D2i7fLQ1mFlmanbt6tDUiZnhaYWUqKipeCVD0DgAZ588RUvdFuF1b1o0tojd56QLtiguVJqoSNU+zdXMr6lwJQkrSAQUqUoEfcx7+4MkbFtF8HtfT/VvRmu83+BfpN8z9K/1c7GXA8Ow7C6iCSOAF75pGh1z8IbrWtnbZlmlXPUVUcgc+waxpIyzvZZVXtzs1ts2zaMPUy1mq3O3DQmkIS8+Wmmm2GWuMkgZJJeRju5Kz3R4lz769ebClabVL826CjU6puBEu/MvPtB4YCjwFScE8JzETbtiRtu22nP8AxDN9/b9hkozfV/TXeTuGtG2LfrultBlJGjFExKPSdQbSpYU0lA4+J049EA9kIMEwd0TKishYekfLruc4g5OdbVFxfddH1lUHOZE4/CG2AAIzGdypt3N7ua1oOLKdolmytXbuyTdm1ImZhTa2uHqsJTwg5J63H3xGATO/++pG9rft+u6FTFBka7MstJ9kZl1D5bWsIK0ZbAIBPhGH9IfJP0uraMUuYUkvScm9Lu8JyONCpVJwe8ZBizequ2C09brmtO96/cFYkpu2WWRLsyfVdW7wuBwcfEkntAHIiNGyl0dw3D6SWvgBEoku67rgtJDcgd6mF9dUVEjIH/kLcst9r7VNvLt7jFQ9WJ6vWpuKdvKRt6bqaZBTDqEIZc4HD1ATjiCT2ExbvBxwjt7IwOY1itGW1Fa0xdlp/wBmXVpbCwyks5LfWDKirPZ80edYPUOp5pHRx641Tcf/ACvTtGayahmkkjh6W7XBw4DfdRKnd1XJScl2K1pw5JtvLAJW8tCinPMpCkDMeTuieTMalWZMozwuMsqGe3Bfj7N4yUisWlhHD6Mxn8pv/wDyPP3L89Q7GHd5JLn/AMYR1FDDTCSKop49TXa64uu7winohPS1tJEGGRstwCTsGW1SZuuydIXiSf7+lv6RjIdvpzpBbn+Tq/pqjHt1370L3+XS39KMh2+/vQW5/kx/pqjQVGWCj/OVy1Vlosz/AFj/ACWD7xv3vaV/PCP6l2Piuu/2bA0P06nnrVptbE3T5VoNzqcpb/a4PEOR5nsj7d4373lK/nhH9S7GCa4n/wBAWmAz2Skv+iiNvhMTZaGnY7YXn+RW7wSnjqcPoIZB8Jkf4bhwUi6ka81PTi1rJqNHtqnrTcNOMwpgrKG5cJbZIQjA7PshH4IxqvbrrvpbMtOu6YuScvMckuTjrgDnLJ4DwCMS3Ff4C6Tj/oRf9VKxkm6/nY1lKOOLnzH8imM0NBRf2LHRXLy7O53E+KzYdhWGyNpY5YQ50rpATc5apNslm2qmv0/YbNtpo1ttTsxX5QTXA88ocAPDhAwMk5MYxMbmdQ6BWKdT7x0wapTc+6hKetcdbWtBUApSAoYOMiMN3CGZRO6cOSaAuYFIYU0k9il8SMA/hj2bzsXXnVGv0CoXFZ9Pkk01xKQpmZSlISVpJKsqUeWO78RiseHUTImF7G2INySb77WF1dTYThUVJDJUMbqv19ZxcQRYmwAvnyUhaxa81vTy8adZ1vWozVpmfYadT1jiuJa3HFIQ2hKRknKf84jwaPuUvdm+6PZl7adpo6qrMMscJU4h1CXV8CXAFjmniz+AHEffuB0cuq6K9TdQrEnEmq0ltpAll4CuJpxS0ONqPolQKveq5HHb3HE7F1Pt+59QKbS9Z7Gbau6WfYlJKpcC0qS8leWkrbyOA8SshQ5EnuHOI0FJRSUYkii1yAb5nWBHheyg0dFh0uFiWGASODXa9nEPDtxAva3HJWiinuq29y/7U1qrWj+n+kbdxzVJcDKPs7qn31BpK1qCEJOEjP4hmLhxr/skk9JvcGezr5w8/wDIRDQqioql1VNWRiQRxlwBJGYPgQvHMYmmj6NkTtXWcBdSVodvPvbUXWRnSG+tLWbdnXWX1FIfc65lxtouALQtI5FI+/zEVVvHUzUgb0HdRhpw8q6paoy/UW8A5xu9VKIZb5Y4vTaSlzkPtvCJmtvi85vUT2AqmR2f/kDHmXiSOlGleY51CmZ9UMx6ThtPQUFXK+lga0Ppg8i5P1G3YcuS52ofPURNEj/yyWvl9j9le+xKzWbjsuhXBcNGXSqpUqexMzcgQrilXloCltEEZ9E5HPwive5bd9c2i2plG0ztHT5i4Z6qyzTqQ6+tK3HnXChtptCASSSMfOSItDgeA/FGv/dVn3emlOD/AMOt/t7/AO6Eea6F0VJi2LyGpiBYGvdq3NhbYOK6LF5ZaSmBjd8VwLrLrY31anDVi2NM9SNFUW6u4p+Uk8LeebfbRMO9Uh0JWnmniJPz8KgOcZHuF3l3ZpTrC1pFY+mjNxT6peXUAqYX1jzzyeMIbQgEn0SPvnMS3fGk+hV0ao0a+bzMgLypa5RVNLtV6l3LTxWxws8Y4vshOPROTy59kVQ1cH/rK7SAAA8ro/Zy/wB4THSYXHgeL1XTMpNUMhe5zTrBpcLWIN72WvqX1tLHquluS8AEWuBy2rOLC3yakVTWC39K9Q9G2rcercw2wQt51D7SXM8C+BaRkZH+mPU1p3sXdZGsM5o7p9pULiqUipDXEt9ZcmHFNhzDbbaScAHv8D2RHOvP+6JWKnuzSuXd2uRxS/S6Tqdz8Ks9n/RwjaDBMGe5tYaYAdXMurd1r3+t1GNZV26LpLHXDb5XsR9Fgmm123ZfW/23bpvm1F21Wp2dHlNMWFBTHDIKSnPGAfSSlKv+1E53jvc1NTrJcmk+leiwud+35yYlClL7q5h0MK4HHOBAOE8XZ8xGYj+rqUelBkMnOZxn/VcYfa9W1Vo+9/Uic0dtun164PZWtJ8ln3eBvqDMemrPGnmDw8s98bSqoKPFpI554mnVpmua0khoNza5uDb6lRI5pqVrmMcbmQgkbTkrI7ft3l7an6xTuj9/6YN2xUpWTefWlL7hdZcbCSUOIWARlKv9HjFpufeCPvxTTb7ofr5Lbn6vrrqtaMhRWapJzXXCWm0OIDriUIShCQpSvtc8+XI8+wG5ZzkkgjJ748p01pqGlxBjaENALGkhpJGtnexJPguowiSaSAmYknWIFxY2ySEIRyC2qQhCCJCEIIoa3eWRdGouglxWlZtJcqdWnFyxYlm1pSpYS8hSsFRA5AE9sQcnQvVj3AjmkYs6a9tpn+tFL61rj4PLw7ni4uD3nP33+eLqkZ78QOSc8uzHZHU4XpXUYVSMo42NLWSCQXve43bdn8fFa2owyOolMjic26v29VUSk6NamS+wJ/SR61X03cpt5IpnWtFzKqkXR6XFwfufpe+/z8okjZfYF4aZ6EyNqXzRHaVVWp+aeXLOLQtQQteUnKCRzHzxOh5nOB+KOAMRTEdKqjEqWWjexobJJ0hIve53DPYqw4bHDK2VpNw3VztsUFb09Mbw1a0Nm7XsamCoVVqoys6iVDqW1OoQVBQSVkJyOLOCRyBirNQ0w3y1rQNvRec02paLakUMtty/Wy/l7gQ/1qSFdaRyV25xyjY2QD2+OY5ASDnESsE00nwSkbSNhY8NfrguvcHiM1hrcHjrZTK55BItlbYqDXnt31mqeySxtMJOxpt26KXc707N08PMhbTB8swsqK+Ej7K32HPpffjPtadGNTLl2W2VppQ7UmJu5qYzS0zdPS62FtFppQcySoJ5E9xi3YAHcT98xxgZz/njM7Tysc+N/Rs+CR0m/wDM6+W3ZmqDBIQCA45tDeSpPqvtz1WvLZ5p5Y1Jtwqua11Ifm6Up9pLpBDiVBKirgJHEDji7M48IjvU3Sre/qVpJbNh3JpzS/Ye3lsIlZSTelxOq6plTaHHldaU8kEjljmR6PeNjuOefnz2QSeH7/jGej/EKspBboWOs9zwTe4LjnbPZn9bKyXAYZP2yMg3K1jbiqI7iNt2sN76AaKUK17ScnKvZ1Ldk6rTxMtJeYcdalwDzUEqALKgcKPaPnjGNaLR3qa+W9bdoXLoRJUuVoDoUy/JTKEqWS2G/TK5hQxgZ5Ac/wAUbFMQIzFaX8Qqqma0GCNxYXOaTe41ySd/iqS4Ex7iQ8gEAEZZgAeipdvM0I1V1Em9KmrFtSYq6Lak1y9RWy+0lLKsy+PfqTkfY19g7ouZJtralGGnBhSG0gjwOI/bvyQOzHZHAAAwI5zEsflxSjgo5GgCLWsRtOsb558VPpqBlNI+Vpzdb+CHPccfPFYtVdPdWZXWxzUCxrZM8hvqnZZ3jbUgK6rgUFJKgc9v+aLPQGEjAA/DELDcSdhzy9oBuLG/BdNg2MSYNMZWMDrtLSDssduyyp9e1n7jNUqhTHrqswNmnqKW1o6lpKUqI4uL7IcjkP8APGabh9MdQLmr9tVu0KGqo+xsmltwtuNjgdQsKGQojIPzeEWNyc5AT+KB5nOB96Np2lka9jmsaA0GwF7Z/dbgaYTsmhfFCxrYgQGi9vi23zuqm3xJ7oNRaAbZuGyE+RqcQ79hQyhWU9nPrDFgNH7eqtq6b0OhVtnqZ6VYKXm+IK4CVE4yOXf3RmR58uED70OURK7GTWwiAMa0A3y4qBiekL8RpRRthZGwO1vhvt2byVD+5uzLoviy6fS7UpDlQmWakl9baFpSQgNuDPpEDtUPxxh+q+mF9V/R6w7eo9uvzNRpLDKJ1hLiApoplgg5yoA+ly5ExZDkRzEcYEVpcblpI44mtBDCSPuLZpQ6R1FDFDExoPROLh9TxzVZ9bdLL/ua0tOqfQbbem5ikUtUvOoS42OpWW5ccJJUAeaFdmeyPb3Fae3leNoWpTraoT09MyBPlLaFoT1f2NI5lRA7QYn3AyTjt+YRyCcY5fijKNIZg6J2qPgvb7/dZYNKKmmdC5jQeiLiL/8A1e98/FVn1q0t1DrntJqVtW+ueeo9ObZmG0uoBbcTwHhOVDIyMcjHiXnaeveq9y0CdufTxmQTS3QgOMupShKCtKlFXE4o8uHui2Z59wzA8xjhSPvRkj0llY1o6Nt23AOe/bvUmn0umhibGYmEt1rE3uNbbbOyr1rrZmq07qbQrysSkv1CVp7Mu4WkzASgvsvKc4Vp405BBSD48/CMZNj636gauW7e112S1Sk0+alOtW24gNJaZdLhOONSsnJHL5vvxav8EcYHaBzi2HSOWKIRBjbgWvvsfusdNpXLTU4hbC3WDS0OzvZ23fb+CEcsZH/lFA9StKdzljbsbg1q0q01RX2ph9bkk+6ptbC0OS6W1BSQ6hYUPSHaOYzzEX9jjhTnsimj+kMmASSObG14kaWkOvax+hC4avoW17QHOLSDcW4qiWgmk+4ysbsEa4as6eJoLT7Uw7OrQpCWQtUuWkJQjrFr58u89hMe5c+hmq87v/ltXJW0Jldopnae6qpB1rgCUU5ppZ4eLj5LSU+97vCLo4HZ3Q7sYH4o3UmnlU+odOyJjbx9FbOwbxGe0blEbgsQYGOcSdbWvxK5HzxSPd5otrrXNwNqat6VWX7YU0NmSmWyXmwhM1KzBdSlxCloUUk8OcHmM8wYu5HEaHR/HpNH6zrcLQ4kFpDthB+hU2uomV0fRONswQR4LXoNLN2ur+5CxNUdT9LZWiIodQpvlT0s601LtystM9cVFJfcUV4Kxy/xeXaYyHcxo7uCa3SSGtmlNiC4GZFmRmZNZW2poPMo4Ch1BcQr7XPIjkRgxevKgMA8s98O05wBntwI6P3gVHTsmbAwBrCzVz1dU2J333W2rXjBI9QtLzckOvle4+y1825phup1P3PWlq1qlpczQW6bMy3lT8upDcuhhniIPCXlrKjnsB/BHtav6J7lLd3XzGt+kNnydcamltvSzsw80JdBLAZcbdQpxCxyBOQe8c4vXwp/+hHIzxZzA/iFVdYbM2BgaGGPVztqk/X/AIFT2FEWaheb62tfK91QXTvRPc5ObvaJq9qpZjCW0zXWT9QkHmfJUJ8kU2gISF8WB6CTyJyCc98flP6WbpNJd0d66u6a6UytzMVmcn1yjkxMILC2JpwOZIDzawtIwDnlnPaMRf7A5ZAP4I559meWc4ip/EGpdMXvgj1DH0ZbnbVvfj9vogwKMNtrm+trXyvfYqT7b9KNfpjdNWNcNVtPm7YYqcrNLeDb7amuucShCUNpDi1dxJJPjz7Iuxz7zn54QjmcdxuTHqkVMjGs1WhoAvkBfjfPPitjQ0baGPow6+d7nxSEIRpLhS0hCELhVSEIQuEVRfOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MfTXu20f7o+Z3qvN+0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ah5zjQL4rX76vk/rUawcnxhk+MPdto/3R8zvVO0dbxHJbPvOcaBfFa/fV8n9ahGsHJ8YQ922j/dHzO9U7R1vEckhCEd4tCkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCJCEIIkIQgiQhCCL//Z)
Whether you’re new to day trading crypto or a veteran of the game, our goal is to deliver a crypto trading platform that maximizes your edge. CoinDesk is an independent operating subsidiary of Digital Currency Group, which invests in cryptocurrencies and blockchain startups. As part of their compensation, certain CoinDesk employees, including editorial employees, may receive exposure to DCG equity in the form of stock appreciation rights, which vest over a multi-year period. CoinDesk journalists are not allowed to purchase stock outright in DCG. Market depth measures the volume of limit orders in real time. It represents the trading platform’s ability to sustain relatively large market orders without impacting the price; it is one of the key indicators of liquidity. There is a difference between buying/selling cryptocurrencies on an exchange and trading cryptocurrency CFDs on a CFD platform.
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Using the tradeallcrypto crypto trading market viewer, the list of buy and sell orders coming in are listed as a continuously changing flow of red and green numerical values in the column marked with the red box. Also, please, pay attention to emergence of short-term support levels of the DOM Levels indicator, which usually appear after the upward breakout, that is a limit buyer tries to support the price. A specific feature of this template is the DOM Levels indicator, which visualizes major limit orders from the order book in the form of horizontal green and red lines . A filter is set for the DOM Levels indicator for more than 1,400,000 contracts, so that the chart would show only those levels, which have a big number of limit orders. In this article we will speak about a very interesting subject – interaction between the Time and Sales Tape and market depth . To do that we will use an example of the XBTUSD cryptocurrency pair behavior in the ATAS Crypto platform. A highly volatile XBTUSD futures is traded on the Bitmex exchange and is similar to the Bitcoin/USD pair.
What Is a Crypto Liquidity Pool? Why Are They So Important to DeFi? – MUO – MakeUseOf
What Is a Crypto Liquidity Pool? Why Are They So Important to DeFi?.
Posted: Fri, 08 Jul 2022 07:00:00 GMT [source]
Without dark pools, exchanges would see significant price devaluation. When information about a big transaction by a large institution is made public before the trade is executed, it normally leads to a drop in the price of the security. But if information about the transaction is reported after it takes place, the impact on the market may be significantly lowered. These lists help improve market transparency as they provide information on price, availability, depth of trade, and who initiates transactions. An order book is an electronic list of buy and sell orders for a security or other instrument organized by price level.
Setting the Order Book
They are used for technical analysis, determining accurate prices for orders, and detecting order imbalances that provide clues as to an asset’s direction in the short term. An exchange is a marketplace where buyers and sellers come together to buy and sell assets at specific prices.
https://www.beaxy.com/exchange/eth-usd/ The type you are most familiar with is likely a cryptocurrency exchange, where cryptocurrencies can be traded versus fiat or other cryptocurrencies. There are also other types of exchanges called token swappers, where one can buy or sell at prices determined by an algorithm.
What does order book mean in crypto?
An order book is an electronic documentation of an asset's buy and sell activity on a trading platform such as a cryptocurrency exchange. Generally, an order book shows a sleek view of a particular asset by recording buy and sell orders.
OpenDAX™ by Openware is a modular software stack for building crypto exchanges, NFT marketplaces, and digital banking with built-in liquidity. When you observe an order book for a couple of seconds, you’ll see the book is dynamic with numbers constantly moving and updating in real-time. When you see the numbers changing, it means that the buy and sell orders are either cancelled by the traders or they are filled through a process called matchmaking. Most exchanges will offer different ways to look at the order book . You’ll want to keep an eye on the order book, depth chart, and buy and sell walls.
Step 14: CODE Arduino Sketch
There are also crypto-to-crypto pairs, such as BTC/USDT, ETH/BTC, and so on. Below are some examples of the trading pairs our exchange supports. Rather than aggregating buy and sell prices to achieve convergence, and attempt to match buyers to sellers, the AMM can always provide both a fair price and availability of the token to buy. More details on the way AMMs work and the general advantages/disadvantages between the two frameworks are available in this Medium article. These electronic ledgers compile all the buy orders and all the sell orders and fill orders as appropriate as the price of an asset moves. The asset price is found by searching for the price convergence between the lowest bid and highest ask. An order book has a ‘matching engine’, which is merely a fancy term for connecting appropriate buys with appropriate sells and getting everyone what they want. Order books are central to currencies and the financial market.
![bitcoin order book](https://www.beaxy.com/images/reused/crypto-icons/poly.webp)
This gives investors and traders a view of how the market is doing at any given point in time. The greater the market depth, the less likely big orders will impact an asset’s price. An order book is one of the first things you see on the Huobi Global trading interface. Order books are automated lists that organize buy and sell orders for a specific asset based on its current price level. The purpose of an order book is to show the standing orders of an asset in real-time and as such, displays the constantly changing connection between buyers and sellers. Level 2 data contains multiple bid and ask price levels and their respective quantities. It allows you to look deeper into how investors are pricing the underlying asset beyond the most shallow quotes.
The Order Book is an important tool that reveals the current interest held by both buyers and sellers for a given trading pair. By analyzing trends and imbalances through the Order Book, traders can make better informed decisions. The proposed theoretical design enables traders to leverage Flashbots and the existing searcher network to emulate an order book matching engine. Due to the numerous limitations described above, there are significant tradeoffs relative to alternative solutions involving centralized servers or specialized networks. Nevertheless, we believe SLOB represents an interesting thought experiment on how to incentivize existing infrastructure to provide additional functionality. Matching is profitable whenever the total matcher reward plus potential arbitrage surplus exceeds the fee/tip required to be accepted by Flashbots. Note that matching requires a constant number of instructions for every filled order, so the gas consumed does not depend on the size of the orders. Of course, higher fees would imply higher priority and vice versa.
Replicating a CLOB on a blockchain is possible, but currently only on gas-cheap chains (e.g., Serum built on Solana) or Layer 2s (e.g., dYdX). Limit orders, on the other hand, allow traders to specify a price at which they would like to transact, and do not execute until they get matched with someone else’s order. However, most of the DEX order books out there are in fact pseudo-decentralized, as the order book itself remains centrally hosted, exposing sensitive trade information only to the exchange. This exposes users to the same theoretical risk present in the case of any CEX, so to some, it is not the appropriate solution. The tradeallcrypto order book above gives a spectrum with the lowest ask of 9,486.3 USD and the highest bid of 9,486.2 USD . The gap between them constitutes the spread — in this example, 1 cent.
The multi-currency compatibility makes BTSE the first cryptocurrency trading platform with an order book fully inclusive of crypto assets, fiat currencies and stablecoins. Back to the topic of liquidity and market depth, how do we know whether an asset is liquid or illiquid? Liquidity is the ease with which market participants can trade with minimal price slippage, given a certain trade size. This article details the basic functions of cryptocurrency exchanges, how they operate, and what types of orders and trades you can execute. Importantly, however, the Onomy Exchange does not renounce the importance of asset interoperability. A swap from AVAX to NEAR, for example, is conducted between the two networks at the click of a button via the ONEX, at significantly enhanced efficiency thanks to the Onomy Network.
Get access to powerful synthetic instruments that consolidate order book data from multiple exchanges. Simultaneously watch the trading activity from tradeallcrypto, Bitstamp, FTX, GDAX, and tradeallcrypto. Crypto pairs are traded on several different exchanges simultaneously. So if you’re only looking at a single exchange, you’re only seeing part of the picture. Essential order flow information like market orders, traded volume, and the limit order book will be less precise. Multibook, together with our full range of powerful crypto trading indicators allows you to see important market dynamics unfold.
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)
Read more about
usaa wire transfer time here. An order book is dynamic, meaning it’s constantly updated in real-time throughout the day. Exchanges such as Nasdaq refer to it as the “continuous book.” Orders that specify execution only at market open or market close are maintained separately. These are known as the “opening book” and “closing book” respectively. Order books are used by almost every exchange for various assets like stocks, bonds, currencies, and even cryptocurrencies. We are the first cryptocurrency data aggregator to provide this information, and it’s completely free of charge via charts and CSV files.
- When your buy order for 0.3 BTC at $9500 is met by a sell order at the same price, the match is made and the order is filled.
- Importantly, however, the Onomy Exchange does not renounce the importance of asset interoperability.
- These DEXs are still attempting to accumulate the liquidity required to run a successful order book, as despite their non-custodial nature, the user experience remains stilted.
- Vice versa, positions would close at a loss if market prices move against you.