Crypto Administration Part 1
When you are using cryptocurrency, no matter in what jurisdiction you're in, sooner or later you will have to set up a decent administration to comply with your tax obligations. Unfortunately, not a lot of accounting software supports crypto. And furthermore, most exchanges and wallets miss basic overviews and export functionality.
With some help of the Python Bitcoin library I will show some tricks to help you set up a crypto administration. In this article we write some code to export wallets and transactions.
Setup readonly wallet
If you have the public master key or public account key, you can use that key to setup a readonly wallet with bitcoinlib. The wallet below uses the bitcoin testnet3 network, but you can also specify the bitcoin, litecoin or dash network.
from bitcoinlib.wallets import wallet_create_or_open
wif_pub = \
'vpub5YZfEsEFSSDQ9tujabYZoEcwpiFhx7Yzeto99E8sy4F2j6tw9zMnJU6F3grzxKDeEJ6MsKHeoMkxB6hUBnWJKhGy7ZVcT3ZmjjRfDv4hNwe'
w = wallet_create_or_open('Shopping Wallet', wif_pub)
w.scan(scan_gap_limit=1)
w.info()
This will set up the wallet, generate keys and download transactions from various bitcoin service providers. The wallet's info() method shows the addresses and transactions.
=== WALLET ===
ID 1
Name Shopping Wallet
Owner
Scheme bip32
Multisig False
Witness type segwit
Main network testnet
Latest update 2019-11-19 22:18:43.260711
= Wallet Master Key =
ID 1
Private False
Depth 3
- NETWORK: testnet -
- - Keys
5 M/0/2 tb1q4f479gwsp900wl9l8g2tf5007x2xz9qdn7mtjw address index 2 0.00010000 TBTC
6 M/0/3 tb1q8ltg9f73tm26w7fz7l3qsujlhktnjancpxkffd address index 3 0.00011700 TBTC
7 M/0/4 tb1qsqhgtwrju08gglmf6gvajvffwxhjh8vzvnykqx address index 4 0.00000000 TBTC
18 M/1/9 tb1qsjddg0rd54z450kz00xm0nfl44qvewfqa82xsl address index 9 0.00287950 TBTC
19 M/1/10 tb1qjazjs9tm7xvckmhdn65fcy2dtsjh89cceer7hq address index 10 0.00105173 TBTC
20 M/1/11 tb1qda0nxl7sgyrwrje9lvkqh30zfs9uudnwnlrsdk address index 11 0.00000000 TBTC
- - Transactions Account 0 (27)
7722a3c7bd0934522767564943e92a22caaca69e05eec9fbce23fe0a98f044f0 tb1qn36t5vw5ddr7mqukhgvem2wkj9hwjlymtw8j5g 40 1000000
00c76570c0eb91dfd3c644f6321db4de8e0983d2d0528276abeb08aaae9979a8 tb1q7fm9fvs62q76vgk5q998a35jyhpusprvm6j3w4 39 1000000
9fbc417ea3bcd8bd076bbac7a481dc7852c8e168173c70955a97e830cd93fab4 tb1q4f479gwsp900wl9l8g2tf5007x2xz9qdn7mtjw 37 10000 U
eff479895812039b2f4bcea508989bd3498df1595afc028570323a79f21d8693 tb1q8ltg9f73tm26w7fz7l3qsujlhktnjancpxkffd 37 7700 U
7af39e591a11962cedf6f433f657670d5f0335663788035d9dbe8c0cb7209fb4 tb1q8ltg9f73tm26w7fz7l3qsujlhktnjancpxkffd 37 4000 U
913011f2fab73c230131501570a9f9d2ada5569fe79c9af0268947c9ddf0c2d2 tb1qn36t5vw5ddr7mqukhgvem2wkj9hwjlymtw8j5g 36 -1000000
913011f2fab73c230131501570a9f9d2ada5569fe79c9af0268947c9ddf0c2d2 tb1q3l7cfqfx2alnkey9slkf5r8gtecd3k2e033juk 36 958366
d3a43c327b25b884191ed1aefb39f67463d2d0a61ba0485dfeef1afb26cb8261 tb1q3l7cfqfx2alnkey9slkf5r8gtecd3k2e033juk 36 -958366
d3a43c327b25b884191ed1aefb39f67463d2d0a61ba0485dfeef1afb26cb8261 tb1qr59yyur6n7xy6n7wrm8va9wt754kjhhmdkdtga 36 935681
cedd18dc60a87fd39a2c8b4ad6b15442b5a53faf5363bca18a36a305294a3f0f tb1qr59yyur6n7xy6n7wrm8va9wt754kjhhmdkdtga 36 -935681
cedd18dc60a87fd39a2c8b4ad6b15442b5a53faf5363bca18a36a305294a3f0f tb1qr4t5k0p57evw4dayuvq973cqapwprr5l8cur7q 36 897986
8b7ada2e6acd6619a080b25991f5d9408ee0b42a6a1ecc0eea304c4345a244b4 tb1qr4t5k0p57evw4dayuvq973cqapwprr5l8cur7q 36 -897986
8b7ada2e6acd6619a080b25991f5d9408ee0b42a6a1ecc0eea304c4345a244b4 tb1qxlqxgz62x9j8r6uhz6puckrfuzmgd5k60fp7rq 36 861808
80333162a87bc8e088eaa54f1f6718c0b7caa72a29a2dfe15a8233110f01612d tb1q7fm9fvs62q76vgk5q998a35jyhpusprvm6j3w4 33 -1000000
80333162a87bc8e088eaa54f1f6718c0b7caa72a29a2dfe15a8233110f01612d tb1qqt5kj0jus0ud36d90d48ecp2593tx9tt6zze6a 33 696456
449432de51fbe0b5b52a7234b2c860229ca3995888e87dd541a7885211838cc8 tb1qxlqxgz62x9j8r6uhz6puckrfuzmgd5k60fp7rq 33 -861808
449432de51fbe0b5b52a7234b2c860229ca3995888e87dd541a7885211838cc8 tb1q868k6nepnmrm5tehc68p5km3dzk8neyag0ph6c 33 399125
9a22ec2e22518678cd6bf4ca88e23c3b7480482be579479ee6db49fbe53f42f7 tb1q868k6nepnmrm5tehc68p5km3dzk8neyag0ph6c 33 -399125
9a22ec2e22518678cd6bf4ca88e23c3b7480482be579479ee6db49fbe53f42f7 tb1qsuyry7q0sf24pdhrzfl32f0zlg4h2dgr963wcy 33 147415
796f4c1eec2a242508bcb75b1c57920597d376e381289804255d51d9e8c3b336 tb1qsuyry7q0sf24pdhrzfl32f0zlg4h2dgr963wcy 33 -147415
796f4c1eec2a242508bcb75b1c57920597d376e381289804255d51d9e8c3b336 tb1q36wljxt3zfxaqe727vjp7lwvtrtpm4lvk9067s 33 121692
0335d2d56ac5861f8854c7539a9ffcbedc86c274a1603c605b5690a17968ba2f tb1qqt5kj0jus0ud36d90d48ecp2593tx9tt6zze6a 33 -696456
0335d2d56ac5861f8854c7539a9ffcbedc86c274a1603c605b5690a17968ba2f tb1qjpnl7236ltsm9jy3k9vhsc8fyw4xpwscxxd8np 33 575090
d3f512ad2ee829cdb8365adfee8afe73700dd2be8706b5542de302bab448df4f tb1qjpnl7236ltsm9jy3k9vhsc8fyw4xpwscxxd8np 26 -575090
d3f512ad2ee829cdb8365adfee8afe73700dd2be8706b5542de302bab448df4f tb1qsjddg0rd54z450kz00xm0nfl44qvewfqa82xsl 26 287950 U
5714845c10f0cdf4f4767ebb5b00a05fc8428d4c1a35c4f2f11779353193a8f3 tb1q36wljxt3zfxaqe727vjp7lwvtrtpm4lvk9067s 25 -121692
5714845c10f0cdf4f4767ebb5b00a05fc8428d4c1a35c4f2f11779353193a8f3 tb1qjazjs9tm7xvckmhdn65fcy2dtsjh89cceer7hq 25 105173 U
= Balance Totals (includes unconfirmed) =
testnet (Account 0) 0.00414823 TBTC
Now the only thing left to do is to export the transactions. For example in CSV format.
Export transactions
The python code below exports all incoming and outgoing transactions.
for t in w.transactions():
# Export this transaction as list of tuples in the following format:
# (in/out, transaction_hash, transaction_date, address, value)
te = t.export()
# Loop through all transaction inputs and outputs
for tei in te:
# Create string with list of inputs addresses for incoming transactions, and outputs addresses for outgoing txs
addr_list = tei[3] if isinstance(tei[3], list) else [tei[3]]
# Print CSV string to standard output
print("%s,%s,%s,:%d,%d,%s" % (tei[0], tei[1], tei[2].strftime("%Y-%m-%d %H:%M:%S"), tei[4], cumulative_value,
";".join(list(set(addr_list)))))
This creates a list of comma separated fields with the transaction info of your wallet.
in,7722a3c7bd0934522767564943e92a22caaca69e05eec9fbce23fe0a98f044f0,2019-11-19 13:37:10,:1000000,2NDkRVM4VAbrEoJtafq6pkV4hDQBBbsnAgA;2MzRww85sARtDjHJ7QPUL1BdAx8y1Y1d3be
in,00c76570c0eb91dfd3c644f6321db4de8e0983d2d0528276abeb08aaae9979a8,2019-11-19 13:56:32,:1000000,2NDBrFwt5J9JtvtEJGrbR1x3HMwY7eYQFXM
in,9fbc417ea3bcd8bd076bbac7a481dc7852c8e168173c70955a97e830cd93fab4,2019-11-19 14:23:35,:10000,
in,eff479895812039b2f4bcea508989bd3498df1595afc028570323a79f21d8693,2019-11-19 14:23:35,:7700,2NGAfMrvWZBnUx6wu3SMwRArBmMyNV9xXB9
in,7af39e591a11962cedf6f433f657670d5f0335663788035d9dbe8c0cb7209fb4,2019-11-19 14:23:35,:4000,2N5BVu3mnXieaREwFHVE4RKVBUTT79GFugx
out,913011f2fab73c230131501570a9f9d2ada5569fe79c9af0268947c9ddf0c2d2,2019-11-19 14:42:09,:41283,mkHS9ne12qx9pS9VojpwU5xtRd4T7X7ZUt
out,d3a43c327b25b884191ed1aefb39f67463d2d0a61ba0485dfeef1afb26cb8261,2019-11-19 14:42:09,:21645,mv4rnyY3Su5gjcDNzbMLKBQkBicCtHUtFB
out,cedd18dc60a87fd39a2c8b4ad6b15442b5a53faf5363bca18a36a305294a3f0f,2019-11-19 14:42:09,:36655,n2eMqTT929pb1RDNuqEnxdaLau1rxy3efi
out,8b7ada2e6acd6619a080b25991f5d9408ee0b42a6a1ecc0eea304c4345a244b4,2019-11-19 14:42:09,:35153,2NGZrVvZG92qGYqzTLjCAewvPZ7JE8S8VxE
out,80333162a87bc8e088eaa54f1f6718c0b7caa72a29a2dfe15a8233110f01612d,2019-11-19 15:25:01,:302642,2NGZrVvZG92qGYqzTLjCAewvPZ7JE8S8VxE
out,449432de51fbe0b5b52a7234b2c860229ca3995888e87dd541a7885211838cc8,2019-11-19 15:25:01,:462332,mkHS9ne12qx9pS9VojpwU5xtRd4T7X7ZUt
out,9a22ec2e22518678cd6bf4ca88e23c3b7480482be579479ee6db49fbe53f42f7,2019-11-19 15:25:01,:250795,mv4rnyY3Su5gjcDNzbMLKBQkBicCtHUtFB
out,796f4c1eec2a242508bcb75b1c57920597d376e381289804255d51d9e8c3b336,2019-11-19 15:25:01,:25579,n2eMqTT929pb1RDNuqEnxdaLau1rxy3efi
out,0335d2d56ac5861f8854c7539a9ffcbedc86c274a1603c605b5690a17968ba2f,2019-11-19 15:25:01,:120464,2NGZrVvZG92qGYqzTLjCAewvPZ7JE8S8VxE
out,d3f512ad2ee829cdb8365adfee8afe73700dd2be8706b5542de302bab448df4f,2019-11-19 16:50:01,:286279,2NGZrVvZG92qGYqzTLjCAewvPZ7JE8S8VxE
out,5714845c10f0cdf4f4767ebb5b00a05fc8428d4c1a35c4f2f11779353193a8f3,2019-11-19 16:51:31,:16375,mv4rnyY3Su5gjcDNzbMLKBQkBicCtHUtFB
You can now easily import this CSV data into a spreadsheet or into your administration software.
Export transactions - add cumulative info
Of course you also need totals per year, month, week, etc. Add a cumulative field to the export to keep track of the wallet totals.
cumulative_value = 0
for t in w.transactions():
# Export this transaction as list of tuples in the following format:
# (in/out, transaction_hash, transaction_date, address, value)
te = t.export()
# Deduct fee from cumulative value if this is an outgoing transaction
if te[0][0] == 'out':
cumulative_value -= t.fee
# Loop through all transaction inputs and outputs
for tei in te:
# Create string with list of inputs addresses for incoming transactions, and outputs addresses for outgoing txs
addr_list = tei[3] if isinstance(tei[3], list) else [tei[3]]
if tei[0] == 'in':
cumulative_value += tei[4]
else:
cumulative_value -= tei[4]
# Print CSV string to standard output
print("%s,%s,%s,:%d,%d,%s" % (tei[0], tei[1], tei[2].strftime("%Y-%m-%d %H:%M:%S"), tei[4], cumulative_value,
";".join(list(set(addr_list)))))
Which results in this CSV output:
in,7722a3c7bd0934522767564943e92a22caaca69e05eec9fbce23fe0a98f044f0,2019-11-19 13:37:10,:1000000,1000000,2MzRww85sARtDjHJ7QPUL1BdAx8y1Y1d3be;2NDkRVM4VAbrEoJtafq6pkV4hDQBBbsnAgA
in,00c76570c0eb91dfd3c644f6321db4de8e0983d2d0528276abeb08aaae9979a8,2019-11-19 13:56:32,:1000000,2000000,2NDBrFwt5J9JtvtEJGrbR1x3HMwY7eYQFXM
in,9fbc417ea3bcd8bd076bbac7a481dc7852c8e168173c70955a97e830cd93fab4,2019-11-19 14:23:35,:10000,2010000,
in,eff479895812039b2f4bcea508989bd3498df1595afc028570323a79f21d8693,2019-11-19 14:23:35,:7700,2017700,2NGAfMrvWZBnUx6wu3SMwRArBmMyNV9xXB9
in,7af39e591a11962cedf6f433f657670d5f0335663788035d9dbe8c0cb7209fb4,2019-11-19 14:23:35,:4000,2021700,2N5BVu3mnXieaREwFHVE4RKVBUTT79GFugx
out,913011f2fab73c230131501570a9f9d2ada5569fe79c9af0268947c9ddf0c2d2,2019-11-19 14:42:09,:41283,1980066,mkHS9ne12qx9pS9VojpwU5xtRd4T7X7ZUt
out,d3a43c327b25b884191ed1aefb39f67463d2d0a61ba0485dfeef1afb26cb8261,2019-11-19 14:42:09,:21645,1957381,mv4rnyY3Su5gjcDNzbMLKBQkBicCtHUtFB
out,cedd18dc60a87fd39a2c8b4ad6b15442b5a53faf5363bca18a36a305294a3f0f,2019-11-19 14:42:09,:36655,1919686,n2eMqTT929pb1RDNuqEnxdaLau1rxy3efi
out,8b7ada2e6acd6619a080b25991f5d9408ee0b42a6a1ecc0eea304c4345a244b4,2019-11-19 14:42:09,:35153,1883508,2NGZrVvZG92qGYqzTLjCAewvPZ7JE8S8VxE
out,80333162a87bc8e088eaa54f1f6718c0b7caa72a29a2dfe15a8233110f01612d,2019-11-19 15:25:01,:302642,1579964,2NGZrVvZG92qGYqzTLjCAewvPZ7JE8S8VxE
out,449432de51fbe0b5b52a7234b2c860229ca3995888e87dd541a7885211838cc8,2019-11-19 15:25:01,:462332,1117281,mkHS9ne12qx9pS9VojpwU5xtRd4T7X7ZUt
out,9a22ec2e22518678cd6bf4ca88e23c3b7480482be579479ee6db49fbe53f42f7,2019-11-19 15:25:01,:250795,865571,mv4rnyY3Su5gjcDNzbMLKBQkBicCtHUtFB
out,796f4c1eec2a242508bcb75b1c57920597d376e381289804255d51d9e8c3b336,2019-11-19 15:25:01,:25579,839848,n2eMqTT929pb1RDNuqEnxdaLau1rxy3efi
out,0335d2d56ac5861f8854c7539a9ffcbedc86c274a1603c605b5690a17968ba2f,2019-11-19 15:25:01,:120464,718482,2NGZrVvZG92qGYqzTLjCAewvPZ7JE8S8VxE
out,d3f512ad2ee829cdb8365adfee8afe73700dd2be8706b5542de302bab448df4f,2019-11-19 16:50:01,:286279,431342,2NGZrVvZG92qGYqzTLjCAewvPZ7JE8S8VxE
out,5714845c10f0cdf4f4767ebb5b00a05fc8428d4c1a35c4f2f11779353193a8f3,2019-11-19 16:51:31,:16375,414823,mv4rnyY3Su5gjcDNzbMLKBQkBicCtHUtFB
Comments !