(base) root@hadoop01:~# spark-submit --driver-memory 512m --executor-memory 512m --packages org.apache.spark:spark-sql-kafka-0-10_2.12:3.4.0 /mycode04/text06/DJ30Analysis.py
:: loading settings :: url = jar:file:/usr/local/spark/jars/ivy-2.5.1.jar!/org/apache/ivy/core/settings/ivysettings.xml
Ivy Default Cache set to: /root/.ivy2/cache
The jars for the packages stored in: /root/.ivy2/jars
org.apache.spark#spark-sql-kafka-0-10_2.12 added as a dependency
:: resolving dependencies :: org.apache.spark#spark-submit-parent-564d986f-8064-411e-842e-a95dab3a4024;1.0
confs: [default]
found org.apache.spark#spark-sql-kafka-0-10_2.12;3.4.0 in central
found org.apache.spark#spark-token-provider-kafka-0-10_2.12;3.4.0 in central
found org.apache.kafka#kafka-clients;3.3.2 in central
found org.lz4#lz4-java;1.8.0 in central
found org.xerial.snappy#snappy-java;1.1.9.1 in central
found org.slf4j#slf4j-api;2.0.6 in central
found org.apache.hadoop#hadoop-client-runtime;3.3.4 in central
found org.apache.hadoop#hadoop-client-api;3.3.4 in central
found commons-logging#commons-logging;1.1.3 in central
found com.google.code.findbugs#jsr305;3.0.0 in central
found org.apache.commons#commons-pool2;2.11.1 in central
:: resolution report :: resolve 1194ms :: artifacts dl 41ms
:: modules in use:
com.google.code.findbugs#jsr305;3.0.0 from central in [default]
commons-logging#commons-logging;1.1.3 from central in [default]
org.apache.commons#commons-pool2;2.11.1 from central in [default]
org.apache.hadoop#hadoop-client-api;3.3.4 from central in [default]
org.apache.hadoop#hadoop-client-runtime;3.3.4 from central in [default]
org.apache.kafka#kafka-clients;3.3.2 from central in [default]
org.apache.spark#spark-sql-kafka-0-10_2.12;3.4.0 from central in [default]
org.apache.spark#spark-token-provider-kafka-0-10_2.12;3.4.0 from central in [default]
org.lz4#lz4-java;1.8.0 from central in [default]
org.slf4j#slf4j-api;2.0.6 from central in [default]
org.xerial.snappy#snappy-java;1.1.9.1 from central in [default]
---------------------------------------------------------------------
| | modules || artifacts |
| conf | number| search|dwnlded|evicted|| number|dwnlded|
---------------------------------------------------------------------
| default | 11 | 0 | 0 | 0 || 11 | 0 |
---------------------------------------------------------------------
:: retrieving :: org.apache.spark#spark-submit-parent-564d986f-8064-411e-842e-a95dab3a4024
confs: [default]
0 artifacts copied, 11 already retrieved (0kB/10ms)
log4j:WARN No appenders could be found for logger (org.apache.spark.util.ShutdownHookManager).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
Traceback (most recent call last):
File "/mycode04/text06/DJ30Analysis.py", line 102, in <module>
main()
File "/mycode04/text06/DJ30Analysis.py", line 37, in main
).withWatermark("event_time", "40 days") # 水印设置
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/spark/python/lib/pyspark.zip/pyspark/sql/dataframe.py", line 1102, in withWatermark
File "/usr/local/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1322, in __call__
File "/usr/local/spark/python/lib/pyspark.zip/pyspark/errors/exceptions/captured.py", line 175, in deco
pyspark.errors.exceptions.captured.AnalysisException: Event time must be defined on a window or a timestamp, but event_time is of type date.;
EventTimeWatermark event_time#23: date, 40 days
+- Project [to_date(data#21.date, Some(yyyy-MM-dd), Some(Etc/UTC)) AS event_time#23, cast(data#21.close as decimal(10,2)) AS CAST(data.close AS DECIMAL(10,2))#26]
+- Project [from_json(StructField(date,StringType,true), StructField(close,DoubleType,true), cast(value#8 as string), Some(Etc/UTC)) AS data#21]
+- StreamingRelationV2 org.apache.spark.sql.kafka010.KafkaSourceProvider@1f8f1976, kafka, org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaTable@284bccf7, [startingOffsets=earliest, kafka.bootstrap.servers=localhost:9092, subscribe=dj30-topic], [key#7, value#8, topic#9, partition#10, offset#11L, timestamp#12, timestampType#13], StreamingRelation DataSource(org.apache.spark.sql.SparkSession@274c38ef,kafka,List(),None,List(),None,Map(kafka.bootstrap.servers -> localhost:9092, subscribe -> dj30-topic, startingOffsets -> earliest),None), kafka, [key#0, value#1, topic#2, partition#3, offset#4L, timestamp#5, timestampType#6]2.股市分析任务(进阶任务)
数据集采用dj30数据集,见教学平台。
本实验将使用两个移动均线策略,短期移动均线为10天,长期移动均线为40天。当短期移动均线越过长期移动均线时,这是一个买入信号,因为它表明趋势正在向上移动。这就是所谓的黄金交叉。同时,当短期移动均线穿过长期移动均线下方时,这是一个卖出信号,因为它表明趋势正在向下移动。这就是所谓的死亡交叉。两种叉形如下图所示:
dj30.csv包含了道琼斯工业平均指数25年的价格历史。
编写kafka-producer发送数据,代码参考如下。
d0f1112ef99752e736f83c0d5466add
读取dj30.csv数据,代码参考如下:
84b542a9647561d5c9bdb30f603a354
要求:
1.设置流以将数据输入structed streaming。
2.使用structed streaming窗口累计 dj30sum和dj30ct,分别为价格的总和和计数。
3.将这两个structed streaming (dj30sum和dj30ct)分开产生dj30avg,从而创建10天MA和40天MA的移动平均值。
4.比较两个移动平均线(短期移动平均线和长期移动平均线)来指示买入和卖出信号。您的输出[dj30-feeder只有一个符号的数据:DJI,这是隐含的。这个问题的输出将是[(<日期>买入DJI),(<日期>卖出DJI),等等]。应该是[(<日期>买入<符号>),(<日期>卖出<符号>),等等]的形式。
#!/usr/bin/env python3
from pyspark.sql import SparkSession
from pyspark.sql.functions import *
from pyspark.sql.types import *
from pyspark.sql.window import Window
def main():
spark = SparkSession.builder \
.appName("DJ30TradingSignal") \
.config("spark.sql.shuffle.partitions", "2") \
.config("spark.streaming.stopGracefullyOnShutdown", "true") \
.getOrCreate()
# ============================================
# 步骤1: 从Kafka读取结构化流
# ============================================
raw_stream = spark.readStream \
.format("kafka") \
.option("kafka.bootstrap.servers", "localhost:9092") \
.option("subscribe", "dj30-topic") \
.option("startingOffsets", "earliest") \
.load()
# ============================================
# 步骤2: 数据解析与类型转换
# ============================================
schema = StructType([
StructField("date", StringType()),
StructField("close", DoubleType())
])
parsed_stream = raw_stream.select(
from_json(col("value").cast("string"), schema).alias("data")
).select(
to_date(col("data.date"), "yyyy-MM-dd").alias("event_time"),
col("data.close").cast(DecimalType(10,2))
).withWatermark("event_time", "40 days") # 水印设置
# ============================================
# 步骤3: 双时间窗口聚合
# ============================================
# 10天移动平均计算
ma10_stream = parsed_stream \
.groupBy(window(col("event_time"), "10 days", "1 day")) \
.agg(avg("close").alias("ma10")) \
.select(
col("window.end").alias("window_time"),
col("ma10")
)
# 40天移动平均计算
ma40_stream = parsed_stream \
.groupBy(window(col("event_time"), "40 days", "1 day")) \
.agg(avg("close").alias("ma40")) \
.select(
col("window.end").alias("window_time"),
col("ma40")
)
# ============================================
# 步骤4: 双流合并与信号检测
# ============================================
merged_stream = ma10_stream.join(
ma40_stream,
"window_time",
"inner"
).withColumnRenamed("window_time", "signal_time")
# 定义状态管理窗口
signal_window = Window.orderBy(col("signal_time")).rowsBetween(-1, 0)
# 生成交易信号
signal_stream = merged_stream \
.withColumn("prev_ma10", lag("ma10", 1).over(signal_window)) \
.withColumn("prev_ma40", lag("ma40", 1).over(signal_window)) \
.withColumn("signal",
when(
(col("ma10") > col("ma40")) &
(col("prev_ma10") <= col("prev_ma40")),
concat(lit("BUY "), date_format(col("signal_time"), "yyyy-MM-dd"))
).when(
(col("ma10") < col("ma40")) &
(col("prev_ma10") >= col("prev_ma40")),
concat(lit("SELL "), date_format(col("signal_time"), "yyyy-MM-dd"))
)
).filter(col("signal").isNotNull()) \
.select("signal")
# ============================================
# 步骤5: 输出配置与检查点设置
# ============================================
query = signal_stream.writeStream \
.outputMode("update") \
.format("console") \
.option("truncate", "false") \
.option("checkpointLocation", "/tmp/dj30-checkpoint") \
.start()
query.awaitTermination()
if __name__ == "__main__":
main()#!/usr/bin/env python3
import time
import pandas as pd
import os
from kafka import KafkaProducer
def main():
# 配置Kafka生产者
producer = KafkaProducer(
bootstrap_servers='localhost:9092',
value_serializer=lambda v: f"{v[0]},{v[1]}".encode('utf-8')
)
# 加载数据集
dir_path = os.path.dirname(os.path.realpath(__file__))
df = pd.read_csv(f"{dir_path}/data/dj30.csv")
df = df[['Long Date', 'Close']].dropna()
# 发送数据到Kafka
for _, row in df.iterrows():
message = (row['Long Date'], row['Close'])
producer.send('dj30-topic', value=message)
print(f"Sent: {message[0]} {message[1]:.2f}")
time.sleep(0.1) # 控制发送速率
producer.flush()
if __name__ == "__main__":
main()D 19900102 1/2/90 2753.40991 2810.1499 2740.3999 2810.1499 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 206813 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900103 1/3/90 2808.22998 2822.94995 2799.06006 2809.72998 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 236171 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900104 1/4/90 2809.72998 2815.48999 2772.61011 2796.08008 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 243691 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900105 1/5/90 2796.07007 2802.05005 2769.62012 2773.25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 202943 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900108 1/8/90 2773.25 2798.41992 2762.15991 2794.37012 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 166112 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900109 1/9/90 2794.58008 2802.8999 2766 2766 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 157959 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900110 1/10/90 2766.20996 2768.12988 2729.31006 2750.63989 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 199502 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900111 1/11/90 2750.63989 2774.73999 2750.63989 2760.66992 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 157935 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900112 1/12/90 2760.87988 2760.87988 2682.81006 2689.20996 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 241798 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900115 1/15/90 2689.20996 2691.55005 2666.6001 2669.37012 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 186300 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900116 1/16/90 2669.37012 2692.62012 2641.20996 2692.62012 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 249975 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900117 1/17/90 2692.62012 2704.3501 2648.67993 2659.12988 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 213146 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900118 1/18/90 2659.12988 2670.21997 2633.75 2666.37988 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 227486 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900119 1/19/90 2665.32007 2686.01001 2665.32007 2677.8999 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 233569 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900122 1/22/90 2678.75 2681.08008 2600.22998 2600.44995 2767.43994 2042.447479 1317.455018 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 200614 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900123 1/23/90 2600.44995 2625.67993 2588.51001 2615.32007 2776.29248 2373.788758 1971.285035 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 225181 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900124 1/24/90 2615.32007 2615.54004 2553.37988 2604.5 2797.30249 2709.856263 2622.410035 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 280704 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900125 1/25/90 2604.5 2616.43994 2550.67993 2561.04004 2793.357545 2694.34253 2595.327515 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 221641 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900126 1/26/90 2561.04004 2583.56006 2522.52002 2559.22998 2782.42505 2683.723786 2585.022523 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 257288 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900129 1/29/90 2558.78003 2572.07007 2529.05005 2553.37988 2771.065003 2670.301239 2569.537475 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 165355 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900130 1/30/90 2553.37988 2562.61011 2519.13989 2543.23999 2767.919983 2661.071228 2554.222473 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 249117 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900131 1/31/90 2543.46997 2590.54004 2542.79004 2590.54004 2741.629943 2647.926208 2554.222473 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 225057 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900201 2/1/90 2590.32007 2598.6499 2580.17993 2586.26001 2717.472473 2635.847473 2554.222473 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 198021 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900202 2/2/90 2586.26001 2616.43994 2581.97998 2602.69995 2702.96753 2628.595001 2554.222473 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 186965 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900205 2/5/90 2602.69995 2625.67993 2598.6499 2622.52002 2677.58252 2615.902496 2554.222473 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 136522 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900206 2/6/90 2622.52002 2622.96997 2594.37012 2606.31006 2671.875 2616.736236 2561.597473 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 162101 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900207 2/7/90 2606.31006 2642.12012 2585.81006 2640.09009 2674.007445 2621.181213 2568.35498 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 207455 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900208 2/8/90 2640.09009 2664.86011 2631.97998 2644.37012 2661.944945 2621.033721 2580.122498 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 206243 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900209 2/9/90 2644.59009 2658.33008 2635.59009 2648.19995 2659.212463 2628.67749 2598.142518 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 155854 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900212 2/12/90 2648.41992 2648.41992 2619.13989 2619.13989 2647.402465 2624.517486 2601.632508 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 124238 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900213 2/13/90 2619.13989 2631.97998 2600 2624.1001 2637.950013 2616.638764 2595.327515 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 189225 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900214 2/14/90 2624.1001 2639.63989 2615.54004 2624.32007 2637.950013 2611.486268 2585.022523 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 147304 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900215 2/15/90 2624.32007 2650.8999 2622.07007 2649.55005 2638.287538 2603.912506 2569.537475 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 181777 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900216 2/16/90 2649.55005 2658.11011 2633.33008 2635.59009 2642.400088 2598.31128 2554.222473 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 231257 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900220 2/20/90 2636.04004 2636.04004 2585.81006 2596.8501 2638.40259 2600.000031 2561.597473 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 174582 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900221 2/21/90 2596.8501 2596.8501 2565.32007 2583.56006 2633.390078 2600.535035 2567.679993 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 206801 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900222 2/22/90 2583.56006 2618.02002 2574.55005 2574.77002 2633.390078 2603.208803 2573.027528 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 211959 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900223 2/23/90 2574.77002 2581.31006 2548.41992 2564.18994 2633.390078 2605.827546 2578.265015 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 196027 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900226 2/26/90 2564.63989 2602.47998 2564.40991 2602.47998 2628.942568 2604.392549 2579.84253 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 177959 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900227 2/27/90 2602.47998 2630.17993 2601.3501 2617.12012 2632.885073 2606.363801 2579.84253 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 216999 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900228 2/28/90 2617.12012 2645.27002 2614.63989 2627.25 2631.59009 2605.71631 2579.84253 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 229855 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900301 3/1/90 2627.69995 2648.6499 2618.46997 2635.59009 2634.742555 2607.292543 2579.84253 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 232248 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900302 3/2/90 2636.70996 2660.36011 2636.48999 2660.36011 2648.255068 2614.752534 2581.25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 200987 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900305 3/5/90 2660.13989 2666.43994 2644.13989 2649.55005 2650.620058 2620.130036 2589.640015 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 197927 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900306 3/6/90 2649.55005 2677.47998 2644.13989 2676.80005 2658.72754 2630.377534 2602.027528 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 223320 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900307 3/7/90 2676.58008 2685.59009 2665.54004 2669.59009 2664.075075 2641.97632 2619.877565 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 225373 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900308 3/8/90 2669.37012 2699.55005 2668.46997 2696.16992 2673.027528 2650.59131 2628.155093 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 218526 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900309 3/9/90 2695.94995 2698.6499 2672.52002 2683.33008 2681.472535 2652.280061 2623.087588 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 217048 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900312 3/12/90 2683.33008 2690.77002 2669.13989 2686.70996 2683.950013 2648.423799 2612.897585 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 169636 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900313 3/13/90 2686.70996 2694.13989 2667.12012 2674.55005 2685.190003 2641.441285 2597.692568 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 201194 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900314 3/14/90 2674.77002 2694.59009 2672.30005 2687.84009 2685.190003 2632.516266 2579.84253 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 168420 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900315 3/15/90 2687.84009 2708.56006 2687.84009 2695.71997 2688.287475 2634.768738 2581.25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 166697 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900316 3/16/90 2695.27002 2741.21997 2695.27002 2741.21997 2701.914978 2645.777496 2589.640015 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 363110 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900319 3/19/90 2736.48999 2757.20996 2713.06006 2755.62988 2722.184935 2662.472473 2602.76001 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 174398 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900320 3/20/90 2755.62988 2768.23999 2733.78003 2738.73999 2732.827453 2676.71875 2620.610048 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 224018 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900321 3/21/90 2738.73999 2751.3501 2724.77002 2727.92993 2740.879943 2687.980011 2635.08008 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 147995 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900322 3/22/90 2727.69995 2731.31006 2678.6001 2695.71997 2740.879943 2692.033753 2643.187563 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 217089 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900323 3/23/90 2694.82007 2712.61011 2694.82007 2704.28003 2740.879943 2698.227509 2655.575075 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 190139 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900326 3/26/90 2704.28003 2727.03003 2704.28003 2707.65991 2740.879943 2702.477509 2664.075075 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 128438 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900327 3/27/90 2707.65991 2736.93994 2697.30005 2736.93994 2743.132445 2708.079986 2673.027528 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 143249 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900328 3/28/90 2736.70996 2745.71997 2727.03003 2743.68994 2743.749938 2712.611236 2681.472535 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 167074 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900329 3/29/90 2743.46997 2743.68994 2721.8501 2727.69995 2736.767455 2710.358734 2683.950013 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 150808 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900330 3/30/90 2727.03003 2729.05005 2701.3501 2707.20996 2728.997435 2707.093719 2685.190003 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 153952 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900402 4/2/90 2706.76001 2706.76001 2679.5 2700.44995 2728.997435 2706.05249 2683.107545 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 160456 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900403 4/3/90 2700.44995 2741.43994 2700.44995 2736.70996 2728.997435 2707.601226 2686.205018 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 180361 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900404 4/4/90 2736.26001 2746.8501 2714.86011 2719.37012 2732.37744 2713.373749 2694.370058 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 212469 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900405 4/5/90 2719.37012 2738.29004 2718.68994 2721.16992 2744.369933 2723.452484 2702.535035 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 136364 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900406 4/6/90 2721.16992 2729.5 2701.80005 2717.12012 2744.819945 2725.253723 2705.6875 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 121924 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900409 4/9/90 2716.88989 2729.28003 2714.63989 2722.07007 2743.07495 2727.674988 2712.275025 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 104933 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900410 4/10/90 2722.07007 2733.78003 2715.98999 2731.08008 2740.539978 2723.451233 2706.362488 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 131302 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900411 4/11/90 2730.86011 2740.98999 2723.6499 2729.72998 2734.065003 2719.847504 2705.630005 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 157576 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900412 4/12/90 2729.5 2756.76001 2728.83008 2751.80005 2737.330018 2722.381256 2707.432495 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 129994 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900413 4/13/90 2751.80005 2751.80005 2751.80005 2751.80005 2741.10254 2724.267518 2707.432495 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900416 4/16/90 2751.80005 2782.87988 2751.80005 2763.06006 2749.097535 2732.685029 2716.272523 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 195539 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900417 4/17/90 2763.06006 2769.13989 2741.43994 2765.77002 2758.107545 2740.117524 2722.127503 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 146212 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900418 4/18/90 2765.98999 2771.62012 2727.47998 2732.87988 2758.107545 2740.06128 2722.015015 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 191511 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900419 4/19/90 2733.33008 2734.01001 2709.22998 2711.93994 2758.107545 2737.358765 2716.609985 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 176316 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900420 4/20/90 2712.15991 2716.21997 2672.52002 2695.94995 2758.107545 2732.967499 2707.827453 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 249719 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900423 4/23/90 2695.94995 2695.94995 2656.97998 2666.66992 2758.107545 2725.338745 2692.569945 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 161262 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900424 4/24/90 2667.12012 2677.92993 2650.22998 2654.5 2753.377503 2716.384979 2679.392455 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 149187 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900425 4/25/90 2654.5 2674.77002 2654.28003 2666.43994 2744.70752 2707.798736 2670.889953 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1157786 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900426 4/26/90 2666.43994 2682.20996 2656.08008 2676.58008 2734.460023 2700.253754 2666.047485 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 158289 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900427 4/27/90 2676.12988 2681.31006 2644.13989 2645.05005 2725.787538 2693.215028 2660.642518 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 158473 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900430 4/30/90 2645.04004 2663.73999 2634.01001 2656.76001 2725.000063 2692.82129 2660.642518 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 142544 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900501 5/1/90 2656.76001 2677.03003 2656.76001 2668.91992 2733.670045 2697.156281 2660.642518 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 156532 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900502 5/2/90 2668.91992 2689.63989 2666.66992 2689.63989 2741.10254 2700.872529 2660.642518 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 165887 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900503 5/3/90 2689.63989 2710.59009 2689.63989 2696.16992 2749.097535 2704.870026 2660.642518 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 180830 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900504 5/4/90 2695.94995 2710.81006 2685.59009 2710.36011 2758.107545 2709.657533 2661.20752 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 155018 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900507 5/7/90 2710.36011 2730.17993 2706.31006 2721.62012 2753.377503 2707.602509 2661.827515 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 142514 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900508 5/8/90 2721.62012 2734.22998 2718.23999 2733.56006 2748.817505 2706.954986 2665.092468 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 140855 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900509 5/9/90 2733.56006 2735.13989 2717.34009 2732.87988 2741.27246 2709.544951 2677.817443 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 183110 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900510 5/10/90 2732.87988 2746.62012 2726.3501 2738.51001 2734.457458 2707.376189 2680.29492 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 200325 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900511 5/11/90 2738.73999 2804.05005 2738.73999 2801.58008 2751.632508 2714.161224 2676.68994 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 314967 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900514 5/14/90 2800.23999 2853.46997 2800.23999 2821.53003 2773.625 2722.257476 2670.889953 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 305104 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900515 5/15/90 2821.30005 2829.16992 2807.40991 2822.44995 2796.017518 2731.032501 2666.047485 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 210977 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900516 5/16/90 2822.44995 2831.02002 2806.25 2819.67993 2816.309998 2738.476258 2660.642518 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 170311 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900517 5/17/90 2819.67993 2846.30005 2819.67993 2831.70996 2823.842468 2742.524994 2661.20752 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 190926 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900518 5/18/90 2831.70996 2831.93994 2811.81006 2819.90991 2823.842468 2742.834991 2661.827515 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 252516 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900521 5/21/90 2819.90991 2851.15991 2808.80005 2844.67993 2829.399963 2747.246215 2665.092468 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 194336 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900522 5/22/90 2846.30005 2870.26001 2835.1499 2852.22998 2837.537475 2757.704955 2677.872435 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 238496 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900523 5/23/90 2852.22998 2856.26001 2836.1001 2856.26001 2843.674988 2767.473724 2691.27246 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 198440 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900524 5/24/90 2855.79004 2860.77002 2842.97998 2855.55005 2852.179993 2778.313751 2704.44751 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 221297 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900525 5/25/90 2855.55005 2855.55005 2817.84009 2820.91992 2852.179993 2783.803773 2715.427553 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 162494 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900529 5/29/90 2820.91992 2871.43994 2819.72998 2870.48999 2856.744995 2790.675019 2724.605043 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 174814 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900530 5/30/90 2870.72998 2894.91992 2867.40991 2878.56006 2862.320008 2796.981263 2731.642518 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 251793 0 0 0 0 0 0 0 0 0 0 0 0 0 0
D 19900531 5/31/90 2878.56006 2888.52002 2869.31006 2876.65991 2867.597473 2809.61499 2751.632508 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 178090 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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