代写program、代做Python设计编程

项目预算：开发周期：发布时间：要求地区：

Problem
Our US stock trading system records all our trades in a log file at the end of a
trading day. Since trades are critical information, to ensure the correctness we
also obtain from our execution broker their copy of our trades of that day, and
compare (i.e. reconcile) the two sources. Trading support staff run this
reconciliation every day and perform troubleshooting if discrepancies are
found.

We expect a 1-to-1 match between our copy of trades and broker’s copy of
trades, unless occasional errors occur causing missing trades. Two matched
trades are expected to have the same security symbol, same side (buy or sell),
same price, and same quantity (in shares). However, since two parties may
receive a trade at slightly different time, the timestamp of two trades may not
perfectly match, and a small difference (for example 1 second) should be
tolerated. The ordering of trades in two sources might not be identical.

Our copy of trades is saved in a gzip file. Each line in the file is a json dictionary
representing a trade. The key attributes security symbol, side, price, quantity
are respectively called “symbol”, “fill_side”, “fill_px”, “fill_qty”. For fill_side, 0
means buy and 1 means sell.
The broker’s copy of trades is a csv file. The key attributes security symbol, side,
price, quantity are respectively called “SYMBOL”, “SIDE”, “TOTAL_EXEC_QTY”,
“LAST_PX”.
Pay attention to the time zone conventions when you interpret the timestamp
in each file.

See below links for a sample of one day’s data:
 Our copy of trades:
https://scientech-pubtraining.s3.amazonaws.com/coding_test_trade_recon/txn.log.gz

 Broker’s copy of trades: https://scientech-pubtraining.s3.amazonaws.com/coding_test_trade_recon/EOD_Executions_
20210104.csv
Requirment
1. Write a computer program (preferably in Python) to automatically
reconcile trades from these two sources. The program should at minimum
print out the unmatched trades from each source. If you have extra time,
consider adding the feature of producing human friendly report in html
format that can be embedded in notification email.
2. Use this program to reconcile the sample dataset, and document your
findings.

Non-disclosure Agreement (NDA)

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