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Kıvanç Özbilgiç'in Tradingview'da paylaştığı SuperTrend Moving Average indikatörünü aşağıda paylaştığım parametrelerle matrikse uyarlayabilir misiniz?

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BoJcEPhfcmP1uJhcV2U5TddrQEWknwFgLYSiwsti3sRq9hdgKtJPjsYPZgsJVYWGz3sHk85fIJ+KvMlxEjf5X5MuJgL0ygGoG3r1ztPvv8/L+zrjaZDfcSIAbEooXik20LUfQaZifw8fWT7r2r12a3a4PTCBADYtFCsdi2EEWvoQoBTlStJHoVQJWNwr6VUy2oLLaVN4zNHy6BL778apXsnK54O8vnhy51CcAY1jBHaIlBK8Vi20okvY5qBHTC4pdm/GbcP/UYwLjVdxQW22opasMmYAImsCZgsV2z8J0JmIAJVCNgsa2G1oZNwARMYE3AYrtm4TsTMAETqEbAYlsNrQ2bgAmYwJqAxXbNwncmYAImUI2AxbYaWhs2ARMwgTUBi+2ahe9MwARMoBoBi201tDZsAiZgAmsCFts1C9+ZgAmYQDUCFttqaG3YBEzABNYELLZrFr4zARMwgWoELLbV0NqwCZiACawJWGzXLHxnAiZgAtUIWGyrobVhEzABE1gTsNiuWfjOBEzABKoRsNhWQ2vDrRDwHw+v98fC8x9i9x8PbyVrvA4TmEDAX4szAdZMXf21ODOBtBkTOCQCrX49y6HEQO8oDsXfIT/9McIQIbcfJQES3V9lvv/Q+6vM9x8De2ACVQlwquVbXl32S4AYEIsWik+2LUTRa5idAL+o8VeXz451skFiQCxaKBbbFqLoNcxOgN+SuyyDQCuxsNguYz/Zi4URaCXBF4Z1K3daiYXFdqvwe1DrBFpJ8Bbi1EosLLYt7EavYXYCrST47GD2YLCVWFhs97B5POXyCbSS4MsnPexhK7Gw2A7H2j2OkEArCd5C6FqJxdZi+86Vd7tHv/dYd3q6/reIn3x60j308CMd14sWbNx5973d62+8eVFTveOfe/6FqvZ7J565QaxYz76LfKkZt12scWqCP/X0Mx05ocL6b7r5lnM/jz/xpJpXeUOuqM8SYnfm3MJupsZiYe6fubO12LKZbr3t9nMbjM12x133nKs7m2niTe2klf2YABNdXEx3rWXXCUu82QNRWOVLrFsMqAmOTElw9lDOBdbPYQEeuXBAQWi190oc85hjfp4SiyVz2lpsSWxelWNSleqWunj8xv++hFiq3yW/JHAW2xKd7erGJjiCOVVsS4cS2dnO27ZHjY3F0ilsLbZsjvu+9cDZqzOv1nyswE9Mer1q6+0S4yiIXek0QN0Pf/Tqqi22M+7Fl15eiaNsRaGXeKqNa/QjBkInix9curw6YdBPdfKP/rmuby30xYY+9sBvTi4ffPjROX/jehgjkYw+M455Kfiitjx21eHr/8hO33o32WJNxAwWmiv6IAZq48o6r/zXz8+tjXpiIF+i74f4gjYmwVmvfnJ88n6MDIhTZEx8SnUxxsd8PyYWh8BnK7FVAiJ+bBoSjB/uVUcfJZ5EQONIxHgvUNTzQ8mv/tTnDatniSAbnMJ8altVpP/Q/777H1z5Fzc542PSRB/iPeay/9hhrNaWplw9xjXk8XkN9OVHJfumeq6Zc2zjfpMtzasYZVuMlTDkNo0V9+iLfM/rzL4t9XlKgpdiQ52YKgbiGPec1k/dpj2rfsd4nRKLJfPZSmxJOsSKZCOp2Fj8cE9dFLK8geinunjPuPh5b37GthIYoLE9b9TYVoIfbcW+EgYlSewX72Uz+s+YKNTqE6+xP/PSnzpKnDv6pPGxXXW6ZhFUPdchW6V2rbVkV22yHddAncZoXdTBRkLD8yGUKQnOWqfEvsSDOuXFIfDZpY9TYrFLv6bOtZXYkqASVDaaEpD7KMSlTUUfbSoJCHX0xY5KFgHNUWpnvN7G0r5p42YxkA+aG1sIw/sffHj2goJN2uNbad1rLX1zUq++XJWU8kPzsl4Jl+7jON1jLxfZKrUN2cqctVb8EhsJZZ5HtmGmoj6xDr9kQ/2Wfp2S4KxVce1bV+xT4lGq67N1bPVTYrFkNluJLRtHyUNyIbw8c68EpU9pA1EngQIM/TjRxlMt9VkESH4JU6kduxKkTRs/9lN/rvJJ/sfPo5kvz09dLHldtOU6nqNvEiv5QTslrz3OU7qXwGl87DNkq9Qe1yrb8jHHQC8QmlP9iasKfmm/qG7p1ykJzlpjXEtro4/2WKl/ZF4af8x1U2KxZE5biW3eGKVnEkxiosRTIkZRUF1OxiwCeY7Yjg19rLEJtoQ0zk9/+SA/aUdc9EyfvBbqLj17eTWWe8YomXimUKd1MQdriH7ynH35euiqr8ZSx/x8Hl4q8n8bW5GjbEfW2OS5VErzqi6yixxKdpZYNyXBWWsWW+oig8hUjBSvUgyWyGRfPk2Jxb58HDPvZLEtCVbeWDG5JFKlk5EcpH/cmNTnDRg3a27X5tUcXLPwMYY5clLIB+xL3LDHM2uNJa+F3+LTl8Ia8pzRL7XFdXAffeY+cojt+P3Kq69Fd87u4zzRnuakY5+tzFl96U9hXdEm99Sp4K/aGSNf4jroL7Yat/TrlAQv7auf/vSt1X4Qm7z+vJcir6Wz2bV/U2Kxa9+mzDdZbKcY31dfvSBIMPblx9R5S4I91Ubt/iVhqT3nPuy3kuD7YDf3nK3Eogmx5TTFyYErRaereAKbewPMYY8Xg3ii4TmfgOaY5yI2YBg5HsILwkXWq7GtJLjWc8jXVmLRjNjyll5v2fJb3SVuNE7ffAYbfV6a0MKNjy74CEN+xo8mlsh1Lp9aSfC5eOzTTiuxaEJs97kRPHebBFpJ8Bai00osLLYt7EavYXYCrST47GD2YLCVWFhs97B5POXyCbSS4MsnPexhK7Gw2A7H2j2OkIC/ynwZQfdXmS8jDvbCBKoRePvK1e6zz8//O+tqk9lwLwFiQCxaKD7ZthBFr2F2Ah9fP+neu3ptdrs2OI0AMSAWLRSLbQtR9BqqEOBE1UqiVwFU2SjsWznVgspiW3nD2PzhEvjiy69Wyc7pirezfH7oUpcAjGENc4SWGLRSLLatRNLrqEZAJyx+acZvxv1TjwGMW31HYbGtlqI2bAImYAJrAhbbNQvfmYAJmEA1Ahbbamht2ARMwATWBCy2axa+MwETMIFqBCy21dDasAmYgAmsCVhs1yx8ZwImYALVCFhsq6G1YRMwARNYE7DYrln4zgRMwASqEbDYVkNrwyZgAiawJmCxXbPwnQmYgAlUI2CxrYbWhk3ABExgTcBiu2bhOxMwAROoRsBiWw2tDZuACZjAmoDFds3CdyZgAiZQjYDFthpaGzYBEzCBNQGL7ZqF70zABEygGgGLbTW0NtwKAf/x8Hp/LDz/IXb/8fBWssbrMIEJBPy1OBNgzdTVX4szE0ibMYFDItDq17McSgz0juJQ/B3y0x8jDBFy+1ESINH9Veb7D72/ynz/MbAHJlCVAKdavuXVZb8EiAGxaKH4ZNtCFL2G2Qnwixp/dfnsWCcbJAbEooVisW0hil7D7AT4LbnLMgi0EguL7TL2k71YGIFWEnxhWLdyp5VYWGy3Cr8HtU6glQRvIU6txMJi28Ju9BpmJ9BKgs8OZg8GW4mFxXYPm8dTLp9AKwm+fNLDHrYSC4vtcKzd4wgJtJLgLYSulVhcWGw/+fSke/yJJ7vT09OO+zvvvre76eZbij+0ffDhR91DDz9yrp1nxveV555/4Vx/7L/+xpt93UfVY3No3j5D71x5t7vjrns6ri5tEpia4E89/cw39gN7VLnA3ic/XKYTmBqL6TPsZsSFxRbRuvW227+x0XAfEeYnFkQVkWOcypDw0R43q0Q92pCtsdehOTfZsdhuotNG25QEZ4/nHEBoYx19tn1xb4Po9quYEovtZ6k/8kJiK+Hk1bskfGPFNm/MvOwstrSXbOdxtZ4ttrXILsfu2ATXPozCyipUrxV5z4jE9OvYWEy3vNsRFxJbRJIT54svvXzu5Kkl5A1HvQQ6ivNFxRZberuWP2LAB04Ur7z62qqPfKIf9yrcy0ZOHPrkOUp9ZMvXwycwJsHZt/qJ+0HvvGhTKdWpzdfNBMbEYrOFZbReSGwRKESobyNJ2OJSS2KLjU1vsWgvfYzAZs5jOUGw8bXR8YHPV/lMLZboW7bP2Jg8Q+3Rru/bIDAlwfN+KeWD6thLLtMITInFNMu77b212Oa3RVG8tIRSncRWp0iuUUg1Nl7ZoLE/92xwbWAJq8bEebkv2Vcf2YhJIB+pU3ucI69d8/raDoEpCW6xrRv3KbGo68nFrG8ttghRPI3mDYdbErToYhQy3dNvU2GukmBKCLMQ8yybXKOfmke+yUYUU/nFvCVhLdXJrq9tEJiS4Hnvl/ZUqa4NUvVXMSUW9b3ZfoatxFYbpyRyCJSKBE3PXKOQ8SxbUexif+6HxHbT2G3EVj4xr+7jHBbbHKH2nqckeBZb7XH2nor3jEhMv06JxXTruxuxldiyuUonTcQpniLHiC1LzZs1L79PbOmX2xDHS89ePjMxJLZ0zH2yTdrjep04Z3ibvZmS4KX9W9pD7COX6QSmxGK69d2NmCy2pVdtuYsI5V9O5Q2m8WzGWLKgxba8cWMb97THUzb/OoJ5KNiNLwAaS330jXvZiL8cU/88R6mP+vp6+ASmJHhJbCEQ91RpDx4+pd2sYEosduPRdrNMFtvtpvEoEzgsAq0k+GFRL3vbSiwstuX4uvbICbSS4C2EsZVYWGxb2I1ew+wEWknw2cHswWArsbDY7mHzeMrlE2glwZdPetjDVmJhsR2OtXscIYFWEryF0LUSC4ttC7vRa5idQCsJPjuYPRhsJRYW2z1sHk+5fAL+KvNlxMhfZb6MONgLE6hG4O0rV7vPPu//g/bVJrbhcwSIAbFoofhk20IUvYbZCXx8/aR77+q12e3a4DQCxIBYtFAsti1E0WuoQoATVSuJXgVQZaOwb+VUCyqLbeUNY/OHS+CLL79aJTunK97O8vmhS10CMIY1zBFaYtBKsdi2EkmvoxoBnbD4pRm/GfdPPQYwbvUdhcW2WorasAmYgAmsCVhs1yx8ZwImYALVCFhsq6G1YRMwARNYE7DYrln4zgRMwASqEbDYVkNrwyZgAiawJmCxXbPwnQmYgAlUI2CxrYbWhk3ABExgTcBiu2bhOxMwAROoRsBiWw2tDZuACZjAmoDFds3CdyZgAiZQjYDFthpaGzYBEzCBNQGL7ZqF70zABEygGgGLbTW0NmwCJmACawIW2zUL35mACZhANQIW22pobdgETMAE1gQstmsWvjMBEzCBagQsttXQ2nArBPzHw+v9sfD8h9j9x8NbyRqvwwQmEPDX4kyANVNXfy3OTCBtxgQOiUCrX89yKDHQO4pD8XfIT3+MMETI7UdJgET3V5nvP/T+KvP9x8AemEBVApxq+ZZXl/0SIAbEooXik20LUfQaZifAL2r81eWzY51skBgQixaKxbaFKHoNsxPgt+QuyyDQSiwstsvYT/ZiYQRaSfCFYd3KnVZiYbHdKvwe1DqBVhK8hTi1EguLbQu70WuYnUArCT47mD0YbCUWFts9bB5PuXwCrST48kkPe9hKLCy2w7F2jyMk0EqCtxC6VmJxYbH95NOT7vEnnuxOT0877u+8+97upptvKf7Q9sGHH3UPPfzIuXaeGb+pMMfrb7x5rstzz7/Q8TOmyLcx/ekzxifmpS/rwj6FdTB2zDxj/Haf/RAYm+DEWft9aM9oD6o/17h39rPS5c86NhZLX8mFxZbNduttt3fvXPnmv4VDIPmJpSRG2Ni0UTUm2yrZj3PFe230KIKML8075E+0S9+YMPI1zhP7+/4wCIxJ8Bh7xT3v0bha7cF8aIh9fP9NAmNi8c1Ry6u5kNhqg/EKXRKXkhhqTOzP5usTbJBpk0ZhLNVtwqv+cd4+sd1kJ7fFhMttfj5cAkMJ3reP4wtvXr32oMU2k9n8PBSLzaOX03ohsWXTsLlefOnlc6c7LW8useXUfMdd93T3feuBsxM0cyO+/LCJtfnjyYJxiDh9tdEltlzj2zkJOeOplx3NzfzqLxusM4qt5qBfTKg8V2xjHuZ+5dXXzs0rhr7uh8mVvvkAAB8OSURBVMBQgmtfcFUp1amNa9wf2ktxL8S+vl8TGIrFuuey7y4ktggFQqJNlDcO7RItYZAoZsGS2KlfvGKX9h9cunx2gmY8z9TTLrtxPjZ/n9hin76leaPf0QZj8jz4EU8zmQXtcY5sj7kQ8qeefiYu2fd7JjCU4CVhzbHNS2BvEG/2EIV9u+kdXR5/rM9DsTgULluLbd5sUaC0+FKdxEqv7FyjWGlsvCJY2GLOR7/32ErcufJMPe2yy7NK3PwSQfqq0DcKYayXnbxO+sQkwV70X/PQJ97LNldsyz7XOD728/3+CAwleGlfxP02xvO+/TFm7DH1GYrFobDYWmwRmShUUYC0+CgqqpMo9gmk+sUrdtQfkeVjC67Yop522eVeJW5+bWz6q9A3riHWy05fUnEapQ17USw1TxTb+MKie9nv80G++LofAkMJPrQvxnitvRL35Jhxx9ZnKBaHwmMrsdUmkXDEa9w4CIlERUAkiuonW4hTqai/2hnHZ7caTz2CeXJysrrG+WqJLXPq7R9+DImtfC+tz2JborL/uqEE177VPsRj4hz3wtAqZGPT/hiycQztQ7E4FAZbiW3fpmLjxZPiGLEFFPYkXhlcPkGUnu+7/8HVW/YsXDzzQoB9iTZ1KlkoVR/9zvNlO9n3nEB5DtovPXtZU61ejCKzswbf7JXAmASP+037QuKrfRBjm2Pfl0d7XfgCJx8TiwW6/Q2XJoutNlUULVmNJ0nqomipj8ZrU6qevqVTQd6QjOcXY1wp2tT0071O2vTTL8joK//ku3yhfxT76LfGyKbEW35z

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