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package factors
import (
"context"
"gitee.com/quant1x/engine/cache"
"gitee.com/quant1x/engine/datasource/base"
"gitee.com/quant1x/engine/datasource/dfcf"
"gitee.com/quant1x/engine/market"
"gitee.com/quant1x/gotdx/proto"
"gitee.com/quant1x/gox/api"
"gitee.com/quant1x/gox/logger"
)
const (
cacheL5KeyExchange = "exchange"
)
// Exchange 上一个交易日的数据快照
type Exchange struct {
cache.DataSummary `dataframe:"-"`
Date string `name:"日期" dataframe:"日期"` // 数据日期
Code string `name:"证券代码" dataframe:"证券代码"` // 证券代码
Shape uint64 `name:"K线形态" dataframe:"K线形态"` // K线形态
MV3 float64 `name:"前3日分钟均量" dataframe:"前3日分钟均量"` // 前3日分钟均量
MA3 float64 `name:"3日均线" dataframe:"3日均线"` // 3日均价
MV5 float64 `name:"前5日分钟均量" dataframe:"前5日分钟均量"` // 前5日每分钟均量, 量比(QuantityRelativeRatio)需要
MA5 float64 `name:"5日均线" dataframe:"5日均线"` // 5日均价
MA10 float64 `name:"10日均线" dataframe:"10日均线"` // 10日均价
MA20 float64 `name:"20日均线" dataframe:"20日均线"` // 生命线(MA20)/20日线
FundFlow float64 `name:"资金流向" dataframe:"资金流向"` // 资金流向, 暂时无用
VolumeRatio float64 `name:"成交量比" dataframe:"成交量比"` // 成交量放大比例, 相邻的两个交易日进行比对
TurnoverRate float64 `name:"换手率" dataframe:"换手率"` // 换手率
AmplitudeRatio float64 `name:"振幅" dataframe:"振幅"` // 振幅
BidOpen float64 `name:"竞价开盘" dataframe:"竞价开盘"` // 竞价开盘价
BidClose float64 `name:"竞价结束" dataframe:"竞价结束"` // 竞价结束
BidHigh float64 `name:"竞价最高" dataframe:"竞价最高"` // 竞价最高
BidLow float64 `name:"竞价最低" dataframe:"竞价最低"` // 竞价最低
BidMatched float64 `name:"竞价匹配量" dataframe:"竞价匹配量"` // 竞价匹配量
BidUnmatched float64 `name:"竞价未匹配" dataframe:"竞价未匹配"` // 竞价未匹配量
BidDirection int `name:"竞价方向" dataframe:"竞价方向"` // 竞价方向
OpenBiddingDirection int `name:"开盘竞价" dataframe:"开盘竞价"` // 竞价方向, 交易当日集合竞价开盘时更新
OpenVolumeDirection int `name:"开盘竞量" dataframe:"开盘竞量"` // 委托量差, 交易当日集合竞价开盘时更新
CloseBiddingDirection int `name:"收盘竞价" dataframe:"收盘竞价"` // 竞价方向, 交易当日集合竞价收盘时更新
CloseVolumeDirection int `name:"收盘竞量" dataframe:"收盘竞量"` // 委托量差, 交易当日集合竞价收盘时更新
OpenVolume int64 `name:"开盘量" dataframe:"开盘量"` // 开盘量
OpenTurnZ float64 `name:"开盘换手z" dataframe:"开盘换手z"` // 开盘换手z
CloseVolume int64 `name:"收盘量" dataframe:"收盘量"` // TODO:快照数据实际上有好几条, 应该用当日成交记录修订
CloseTurnZ float64 `name:"收盘换手z" dataframe:"收盘换手z"` // 收盘换手z
LastSentiment float64 `name:"昨日情绪" dataframe:"昨日情绪"` // 昨日情绪
LastConsistent int `name:"昨日情绪一致" dataframe:"昨日情绪一致"` // 昨日情绪一致
OpenSentiment float64 `name:"开盘情绪值" dataframe:"开盘情绪值"` // 开盘情绪值, 个股没有
OpenConsistent int `name:"开盘情绪一致" dataframe:"开盘情绪一致"` // 开盘情绪一致, 个股没有
CloseSentiment float64 `name:"收盘情绪值" dataframe:"收盘情绪值"` // 收盘情绪值
CloseConsistent int `name:"收盘情绪一致" dataframe:"收盘情绪一致"` // 收盘情绪一致
AveragePrice float64 `name:"均价线" dataframe:"均价线"` // 均价线
Volume int64 `name:"成交量" dataframe:"成交量"` // 成交量
InnerVolume int64 `name:"内盘" dataframe:"内盘"` // 内盘
OuterVolume int64 `name:"外盘" dataframe:"外盘"` // 外盘
Change5 float64 `name:"5日涨幅" dataframe:"5日涨幅"` // 5日涨幅
Change10 float64 `name:"10日涨幅" dataframe:"10日涨幅"` // 10日涨幅
InitialPrice float64 `name:"启动价格" dataframe:"启动价格"` // 短线底部(Short-Term Bottom),股价最近一次上穿5日均线
ShortIntensity float64 `name:"短线强度" dataframe:"短线强度"` // 短线强度,Strength
ShortIntensityDiff float64 `name:"短线强度增幅" dataframe:"短线强度增幅"` // 短线强度
MediumIntensity float64 `name:"中线强度" dataframe:"中线强度"` // 中线强度
MediumIntensityDiff float64 `name:"中线强度增幅" dataframe:"中线强度增幅"` // 中线强度
Vix float64 `name:"波动率" dataframe:"波动率"` // 波动率
State uint64 `name:"样本状态" dataframe:"样本状态"`
}
func NewExchange(date, code string) *Exchange {
summary := __mapFeatures[FeatureExchange]
v := Exchange{
DataSummary: summary,
Date: date,
Code: code,
}
return &v
}
func (this *Exchange) GetDate() string {
return this.Date
}
func (this *Exchange) GetSecurityCode() string {
return this.Code
}
func (this *Exchange) Factory(date string, code string) Feature {
v := NewExchange(date, code)
return v
}
func (this *Exchange) Init(ctx context.Context, date string) error {
_ = ctx
_ = date
return nil
}
func (this *Exchange) FromHistory(history History) Feature {
_ = history
return this
}
func (this *Exchange) Update(code, cacheDate, featureDate string, complete bool) {
// 1. K线相关
exchangeKLineExtend(this, code, featureDate)
// 2. 成交量
exchangeTurnZ(this, code, cacheDate, featureDate)
// 3. 情绪
exchangeSentiment(this, code, cacheDate, featureDate)
// 4. 资金流向
exchangeFundFlow(this, code, cacheDate, featureDate)
}
func (this *Exchange) Repair(code, cacheDate, featureDate string, complete bool) {
// 1. K线相关
exchangeKLineExtend(this, code, featureDate)
// 2. 成交量, 使用cacheDate作为特征的缓存日期
exchangeTurnZ(this, code, cacheDate, cacheDate)
// 3. 情绪
exchangeSentiment(this, code, cacheDate, featureDate)
// 4. 资金流向
exchangeFundFlow(this, code, cacheDate, featureDate)
}
func (this *Exchange) Increase(snapshot QuoteSnapshot) Feature {
_ = snapshot
return this
}
// ValidateSample 验证样本数据
func (this *Exchange) ValidateSample() error {
if this.State > 0 {
return nil
}
return ErrInvalidFeatureSample
}
// ExchangeKLineExtend 更新Exchange K线相关数据
func exchangeKLineExtend(info *Exchange, securityCode string, featureDate string) {
cover := NewExchangeKLine(securityCode, featureDate)
if cover == nil {
logger.Errorf("code[%s, %s] kline not found", securityCode, featureDate)
return
}
info.Date = cover.Date
info.Shape = cover.Shape
info.MV3 = cover.MV3
info.MA3 = cover.MA3
info.MV5 = cover.MV5
info.MA5 = cover.MA5
info.MA10 = cover.MA10
info.MA20 = cover.MA20
info.VolumeRatio = cover.VolumeRatio
info.TurnoverRate = cover.TurnoverRate
info.AmplitudeRatio = cover.AmplitudeRatio
info.AveragePrice = cover.AveragePrice
info.Change5 = cover.Change5
info.Change10 = cover.Change10
info.InitialPrice = cover.InitialPrice
// 强弱指标
info.ShortIntensity = cover.ShortIntensity
info.ShortIntensityDiff = cover.ShortIntensityDiff
info.MediumIntensity = cover.MediumIntensity
info.MediumIntensityDiff = cover.MediumIntensityDiff
// 波动率
info.Vix = cover.Vix
// 情绪, 指数和板块的情绪从K线上的up和down获取, 这里不处理个股的情绪
if proto.AssertIndexBySecurityCode(info.Code) {
info.LastSentiment = cover.Sentiment
info.LastConsistent = cover.Consistent
}
info.State |= cover.Kind()
}
// 更新 - exchange - 历史成交数据相关, capture,collect
func exchangeTurnZ(info *Exchange, securityCode string, cacheDate, featureDate string) {
list := base.Transaction(securityCode, featureDate)
if len(list) > 0 {
summary := CountInflow(list, securityCode, featureDate)
// 修正f10的缓存, 应该是缓存日期为准
f10 := GetL5F10(securityCode, cacheDate)
if f10 != nil {
summary.OpenTurnZ = f10.TurnZ(summary.OpenVolume)
summary.CloseTurnZ = f10.TurnZ(summary.CloseVolume)
}
cover := summary
info.OpenVolume = cover.OpenVolume
info.OpenTurnZ = cover.OpenTurnZ
info.CloseVolume = cover.CloseVolume
info.CloseTurnZ = cover.CloseTurnZ
info.Volume = cover.InnerVolume + cover.OuterVolume
info.InnerVolume = cover.InnerVolume
info.OuterVolume = cover.OuterVolume
}
}
// 更新 - exchange - 情绪
func exchangeSentiment(info *Exchange, securityCode string, cacheDate, featureDate string) {
if proto.AssertIndexBySecurityCode(securityCode) {
// 跳过指数和板块, 只处理个股的情绪值
return
}
list := base.Transaction(securityCode, featureDate)
if len(list) > 0 {
cover := CountInflow(list, securityCode, featureDate)
info.LastSentiment, info.LastConsistent = market.SecuritySentiment(cover.OuterVolume, cover.InnerVolume)
}
}
// 更新 - exchange - 资金流向
func exchangeFundFlow(info *Exchange, securityCode string, cacheDate, featureDate string) {
if !proto.AssertStockBySecurityCode(securityCode) {
return
}
beginDate := proto.MARKET_CH_FIRST_LISTTIME
filename := cache.FundFlowFilename(securityCode)
cacheList := []dfcf.FundFlow{}
err := api.CsvToSlices(filename, &cacheList)
cacheLength := len(cacheList)
if err == nil && cacheLength > 0 {
beginDate = cacheList[cacheLength-1].Date
cacheList = cacheList[0 : cacheLength-1]
}
newList := dfcf.IndividualStocksFundFlow(securityCode, beginDate)
if len(newList) == 0 {
return
}
list := append(cacheList, newList...)
_ = api.SlicesToCsv(filename, list)
last := list[len(list)-1]
cover := last.Medium
info.FundFlow = cover
}
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