MACD零轴不一致,求怎么解释?
data:image/png;base64,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**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为什么 我添加MACD 指标的零轴和 带柱子的零轴不一样啊?不是同一条线,那我该看哪一条呢?
虚线 是我单独添加MACD时自带的零轴,如下图:
data:image/png;base64,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
再加上柱状图时,又是一条零轴:
data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAWAAAACoCAIAAABRz6N2AAALxElEQVR4nO2bPY8bxxmAX8PFwTDc08AA27m6k07SOswHAlu2zpIoxw5cJDF0SgI3EYwUggsBEmSBf8Rq1Ll1aQMHXJW/IP0H6S9sir0bDsnlLmc4n8vHeGAM53bn4513Hs6SoogcAgBsIP0IACBb0o8AAHJlPp/P5/PT04fvv38j/WgAIC/k8ODgeDY7PT19mHooAJAbcihyeHBw/PTps9RDsaFp0o8BYPxclubz+VY3NI28ebt4eXYuTSOPnmy8oOXVa2maC169XtyoefGyo69HT1abGvTC+i2pePHyYqZ6YCsRWL9eX3B23n1j53z1X81VAPCDHLXM53Nd7qPd/4+eXLx883bpZbsrzJr2mrPzpZePnsjZ+VLlxbZZ7utity/33j+89VuSsBDBZc3Zubx4uYiALmtevV4E7WK3H13sfzOY6x2ZVyafOIyNy5KFIC7eG4/kxUs5O1/SwavXF5V68+uLV1gRhBx17IQeQeiCPpu0V755u/Ry9Q32suulN3PDa+27t3mB3sntxbpSd7Rp926auCzLohMtizaemy5biU/Xxd9889187b/Z7EGibIPiuCxZCEIuTwHm/82/mom7LoJN9ev5bW7vxTHb6MjchG1rK3tm/Q22Pcm3fzVNt2mrmz22wzMv7rFAz5/6DwXmWUBrSCuvp6kuQbz77pWHDx+Zdvjuu/++807ytINSuCzZCaLdJO0G0II4O19sCX2K3lEQ/ScIbZDOWzrfYDtPNyubeUVMK12bzbZHic5AbRJE5/PFyhzNJzhz/69H0vzkwjzvGHzwwcePHz9p7fDDD4/fe+96sGSC8XFZshOEGHmsk9h8uzNP751byNcjhn7Z3j4oCHObbRKEORK/gtiwhxctrwRh/fOdnqVZ+ejHoKpuPn/+/NmzHz/88M/+Ugf2gcuStSA0bV72bOaVDynbB+wVQaxc0zIoCPNhvt3/K5/VdT5imI8/mwTRFsznkR0FMfhxo9mXxjyUdZ4gzKj26mM6/evVq/d2ThfYNy5Luwqi/5HBPFy0l3V8zbnW1/aPGOZXBu1HiT0fUpqfa3YKQo+tvXKl620EsT4184vezg8UOs9f5o2d+18/YvQfLgAckSORo4ODa0+fPks9lOhs+nwEAC6Qo4ODa7PZg9PTh6mHEov+7wUAQGP8WKtOPxoAyIv0IwCAbJErvlDqlsfW9gfiBtGwT7aUfQNxg6ggiPIgbhANBJEH1W1pGqluEzfICgSRBwgCsgRBJEV7AUFAliCIWHS6AEFA3iCIWGwviCFZ7FfcICkIIhYIAgoEQcQCQUCBIIiQbO8CBAFZ4iCIq75Q6pbH1nKkuiNNI9WdpfL2lXsbN8gG+2RL2XdpIAgoHOtkU+qWL+r67x5by5DJ9L40zWR63yxvX7m3cYN8sE02ThA2cIKAwrFPtpR9F4KDCxAEZAmCCIAvQWwwxWjjBvmBIAKAIGAsIIghhg78fbcgCCgcBDFEvyA6/4ogYCwgiCH6t2v/xkYQUDgIYggEAXuMgyCOfaHUicfWQlHdlaaR6u6isH2lwy2DlaXEDUaBfbKl7DsFCAL2GAQxBIKAPcY62ZQ68UVd/8Nja4Ho+rnEtpUOtwxWmnEzKwFCYLtJOUGkPkFsOFYAhMB+k6bsOxa+9jCCgMJBEF0gCAA5FgTRTXGCwBTjI481RRBdS4Ig4sc8+UhywNfi+osqgugKK4JIG+rkw0selk0h2qUdpyE5COKaL5T6wmNrHqhm0jRSzRaFHSt9tWNVWQT900k+vORh2RSiXdpxGpL9JvUXDgSBIBBEd1g6Q7R9fBBE2OVBEGlDnXx4WUVj+1UOkCQIwim+CGKX8I5jOiEigyB26zvk2ljFF0FEC/U+ED+dtgZBIIi8Q70PjEkQSn3hi7r+1mNrbkymp9I0k+mpWfZVGbTxTZXZMrLphIhMtHTaHttNygki+xNEtm+/nCB2jEaKJLHfpP5ihCAQBIKwiAaCKGOd0q4oghgHmaTT0DgRBIIoJNTJx588GoUI4rovlLrtsTVHqnvSNFLdWyr7qgza+GBl8tj6DXXy8fsNQibpNDRg+03qL1gIYi8EMbLpJIwGgki5YB6DnokgMtla+yCI7WOeWzoNTW3bTbpo0F9YEQSCKFgQbiPPOZ26QBAIIlaExyGIHUdeRDoZA95XQcQJOoLwOB2HHjOZjq9oZCiIjnb8xRpBIAhvgtjRKUGn4ysamQhioB1/sUYQoxVE/OnkLIji0smYr7UglLrti7r+1mNrVkymD6RpJtMHuhCiMmjjVpWpwhttOp23lJs5+aTT+ibtv4UTRJbK5wQR+gSRw+KmyJyOTTpwi7+gI4gEw4gc3nxC7T1hMpxjFj3KDV8odcdja3Z0TCxAZdDG3YYRObz5hNp7wmQ4xxx6PDz8my8+//w/Hluz4qOT76VpPjr5XhdCVAZt3G0YI4iqW6i9Ty3DOebQo/z208+NyG8//fzLL+e67FDpqx23Hovm11//53yvr6h2tpk8MuEmvrfYJptUctiIVHIockOXHSp9tePWY9Hs8mi2Y1T720weGasIDE48+VBzwDrZEERychNEWSAIKxBEeXj5cBdBDE48+VBzAEGUh/dvf/ZqnyAIKxBEecT5eng04eqZ1/hywzsIojwQhK95jS83vIMgyiPlPzAbF+PLDe9YJ9t08kkjMp18otRdjVmpy/2VDrfsWNk58hKp6/vJxzAOxpcb3rFNNqnkqBGp5Eik1piVutxf6XDL7pXjQKm7yccAe4J9sg1dgSDyWzMARxBEeSAIiIZ/QWgQRDZrBuBIQEGYIIikawbgCIIoDwQB0YgkCA2CSLFmAI4giPJAEBANBFEeCAKiEVsQnX0jiMBrBuCIgyA+9oVSs7ZQyZVGpJIruhCochzouAGExj7ZAvSNIAKvGYAj1smm1MwXdX3aFqaTTxuR6eRTXQhUOQ503ABCY5tsnCDSozhBQCzsky1A3wgi8JoBODJ+QSQPcQZrBuAIgigPBAHRQBDlgSAgGgiiPBAERANBlAeCgGggiPJAEBANB0H8zhdKzdpCJVcbkUqu6oLHSo8DzgQdN4DQ2CdbgL4RROA1A3AEQZQHgoBoIIjyQBAQDetkC/E7kOnkZiMyndzUBY+VyX/u4h1+rAXRcPixln85cYIIK3UAV+yTLUDfCCLwmgE4giDKA0FANBBEeSAIiAaCKA8EAdFAEOWBICAaDoKY+kKpe22hkuNGpJJjXfBY6XHAmaDjBhAa+2QL0HcIQYwYBAHRQBDlgSAgGgiiPBAERANBlAeCgGggiPJAEBAN62RT6p4v6vpBW5hOPmtEppPPdGH3yhGj4wYQGttk4wSRHsUJAmJhn2wB+kYQgdcMwBEEUR4IAqKBIMoDQUA0HATxe18o9WVbqORaI1LJNV3YvXLE6LgBhMY+2QL0jSACrxmAIwiiPBAERANBlAeCgGggiPJAEBANBFEeCAKigSDKA0FANBBEeSAIiIZ1sin1pS/q+p9toevXVi6VHseWMzpuAKGxTbasTxDJdZup1AFcsU+2AH0jiMBrBuCIgyD+4Aul/tIWKrneiFRyXRfcKj2OLWd03ABCY59sAfpGEIHXDMARBFEeCAKikYUgNAgizJoBOIIgygNBQDQQRHkgCIgGgigPBAHRQBDlgSAgGgiiPBAERANBlAeCgGhYJ5tSX/mirv+1UjOd3GpEppNbZnn7So9jy5n1uAEEwjbZROSPvlDqq5WaSm40IpXcMMvbV3ocW86sxw0gEPbJFrJvBBFmzQAcQRDlgSAgGgiiPBAERANBlAeCgGggiPJAEBCNMQhi30AQEA0EUR4IAqKBIMoDQUA0EER5IAiIhoMg/uQLpb5eqamkbkQqqc3yYOW+sR43gEBYJ5tSX/uirv+9UjOdnDQi08mJWR6s3DfW4wYQCNtk4wSRnvW4AQTCPtlC9o0gwqwZgCMIojwQBEQDQZQHgoBo5CUIEwThFjcAjyCI8kAQEA0EUR4IAqKBIMoDQUA0bJPt/2uDxW/uB1QEAAAAAElFTkSuQmCC
两个叠加起来并不重合,那怎么看零轴?以那个为准?
小的菜 求解释! 刚才没弄上图 还有: 我放大缩小图时 ,MACD柱状图的零轴会跟着上下变化 因为你坐标轴的标准不是固定的
比如用了L h 别的指标值做参照
回复 #4 xiexl 的帖子
我晕了 也不知道 好像也没法改啊http://www.freestockcharts.com/#要不你去这个网站试试这个网站可以实时看美股走势
页:
[1]