brokerage-statements
A deterministic Python library for parsing, normalizing, and validating brokerage statements.
brokerage-statements converts supported brokerage statements into normalized,
broker-neutral Python objects while preserving the source evidence needed to
audit how each result was produced.
The library is built around isolated statement processors. Each processor owns a known statement format or revision, allowing support for new statement variants to be added without destabilizing processors already proven against historical statements.
The project emphasizes strict, deterministic behavior. Unsupported statement formats, ambiguous broker or processor matches, unknown financial activity, unresolved security identities, and invalid processor output fail explicitly rather than being silently ignored or guessed.
TD Ameritrade statement parsing is implemented and validated against a private historical corpus spanning March 2020 through December 2023.
Charles Schwab statement support is the next major brokerage implementation and will use the same broker-detection, isolated-processor, and capability-extension architecture.
The package intentionally focuses on statement processing and normalization. It is not a portfolio manager, brokerage API, trading system, tax engine, or Beancount-specific importer.
- PyPI: https://pypi.org/project/brokerage-statements/
- Source: https://github.com/fifoa-labs/brokerage-statements
- License: MIT
Current Status
The package currently includes:
- Page-aware PDF text extraction
- SHA-256 statement source identity
- Deterministic broker detection
- Broker-scoped processor selection
- Strict processor ambiguity detection
- Broker-neutral security, position, and event domain models
- Traceable source evidence attached to normalized results
- Exact
Decimalhandling for financial quantities and amounts - TD Ameritrade monthly statement identity parsing
- TD Ameritrade account-position parsing
- TD Ameritrade settled equity trade parsing
- TD Ameritrade option trade parsing
- TD Ameritrade option expiration parsing
- TD Ameritrade regulatory fee parsing
- TD Ameritrade option commission/fee parsing
- TD Ameritrade external cash-transfer parsing
- TD Ameritrade internal cash-movement handling
- TD Ameritrade security-transfer parsing
- TD Ameritrade transition-to-Schwab security-transfer parsing
- TD Ameritrade reverse-split activity handling
- TD Ameritrade cash-in-lieu parsing
- TD Ameritrade mandatory reorganization fee parsing
- TD Ameritrade interest-income parsing
- TD Ameritrade insured-deposit interest parsing
- TD Ameritrade margin-interest expense parsing
- TD Ameritrade pending-trade parsing
- CUSIP-to-symbol reference resolution for observed statement identifiers
- Dedicated handling for final TD Ameritrade-to-Schwab transition statements
- Private archive inspection and smoke-test tooling
- Fully typed public package
- 100% branch test coverage
Proven TD Ameritrade Support
The complete private TD Ameritrade historical corpus currently contains 46 monthly statements spanning:
March 2020 → December 2023
All 46 statements parse successfully through the public parsing pipeline.
The processor boundary is:
2020-03 → 2023-10
tdameritrade.monthly_2020
2023-11 → 2023-12
tdameritrade.transition_2023
The normal monthly processor remained stable through 44 consecutive historical statements.
The final November and December 2023 statements materially changed structure as the account transitioned to Charles Schwab. Rather than weakening the proven monthly processor by making required sections globally optional, those statements are handled by a dedicated transition processor.
This is the intended processor architecture of the project.
A statement is not considered supported merely because a processor recognizes it. Real support is earned by successfully processing the historical statement through extraction, broker detection, processor selection, section discovery, normalization, and validation.
Design Goals
- Deterministic broker detection and processor selection
- Strict failure instead of silent guessing or skipped activity
- Broker-neutral normalized domain objects
- Exact decimal arithmetic for financial values and quantities
- Traceable source evidence for normalized results
- Isolated processors for distinct statement formats and revisions
- Focused capability modules for individual economic grammars
- Regression-safe support for new statement variants
- Real-statement validation against a private historical corpus
- Small, stable public APIs
- Proven historical processors remain stable as support expands
Processing Model
The package follows a staged processing pipeline:
statement PDF
↓
page-aware text extraction
↓
SHA-256 source identity
↓
broker detection
↓
broker-scoped processor selection
↓
statement identity and section discovery
↓
focused section and activity parsers
↓
normalized positions and events
↓
strict validation
↓
ParsedStatement
Broker detection and statement-format detection are intentionally separate.
Broker detection answers:
Which brokerage institution produced this statement?
Processor selection then answers:
Which known statement grammar from that broker produced it?
Once a brokerage institution is identified, only processors belonging to that broker are allowed to compete for the statement.
Processor Architecture
A statement processor represents a known statement layout or revision.
TD Ameritrade currently has two proven processors:
processors/
└── tdameritrade/
├── monthly_2020.py
├── transition_2023.py
├── identity.py
├── sections.py
├── positions.py
├── pending.py
└── activity/
├── __init__.py
├── rows.py
├── trades.py
├── options.py
├── option_expirations.py
├── cash.py
├── income.py
├── expenses.py
├── transfers.py
├── transition_transfers.py
└── corporate_actions.py
tdameritrade.monthly_2020
The primary TD Ameritrade monthly grammar.
It is proven against 44 consecutive real statements from March 2020 through October 2023.
tdameritrade.transition_2023
The final TD Ameritrade-to-Charles-Schwab transition grammar.
It handles the November and December 2023 statements, which intentionally omit
the normal Account Positions section after assets were transferred to Schwab.
Transition statements are identified using strong transition evidence rather than merely by the absence of positions.
monthly_2020.py remains intentionally small. It owns its statement revision
and orchestrates focused parsing capabilities.
It should not become a large collection of transaction-specific regular expressions.
Activity Architecture
TD Ameritrade account activity is intentionally decomposed by economic capability:
activity/
├── __init__.py
├── rows.py
├── trades.py
├── options.py
├── option_expirations.py
├── cash.py
├── income.py
├── expenses.py
├── transfers.py
├── transition_transfers.py
└── corporate_actions.py
The modules have focused responsibilities:
rows.pyreconstructs logical activity rows from page-aware statement text.trades.pyparses settled equity trades.options.pyparses option trades.option_expirations.pyparses option expirations.cash.pyparses external cash movement and recognizes known internal cash journals.income.pyparses supported income activity.expenses.pyparses supported expense activity such as margin interest.transfers.pyparses ordinary security transfers.transition_transfers.pyparses TD-to-Schwab transition deliveries.corporate_actions.pyhandles supported reorganization activity.
activity/__init__.py owns orchestration and parser precedence rather than
individual financial grammars.
This prevents account activity from becoming a single large, fragile parser.
Extension Rule
This is the most important maintenance rule in the project.
When a new real statement fails, first determine what changed.
Same statement format, new economic capability
If the statement structure is still the same but exposes a new kind of activity, add a focused capability.
Examples:
option trade
→ activity/options.py
option expiration
→ activity/option_expirations.py
margin interest
→ activity/expenses.py
reverse split or reorganization
→ activity/corporate_actions.py
Do not create a new statement processor merely because a new transaction type appears.
Same capability, new observed grammar variant
If an existing capability encounters another legitimate representation of the same economic event, extend only that capability.
For example, TD Ameritrade represented option expiration using both:
Delivered - Other ... EXPIRATION
and:
Received - Other ... EXPIRATION
Both are option expiration.
The correct extension point is therefore:
activity/option_expirations.py
not the statement processor.
New observed security identifier
If the grammar is already understood but the statement exposes a new CUSIP or other security identifier, extend the reference layer:
reference/identifiers.py
Do not add identifier-specific exceptions to transaction parsers.
Materially different statement format or revision
If a later statement changes document structure materially, such as:
- different required sections
- incompatible section layout
- materially different identifying markers
- different terminal or migration semantics
- behavior that cannot be safely supported without weakening a proven processor
then add a new processor.
The TD Ameritrade archive demonstrates this directly:
tdameritrade.monthly_2020
2020-03 → 2023-10
tdameritrade.transition_2023
2023-11 → 2023-12
The first processor was not weakened merely because the transition statements legitimately contained no account-position section.
Do Not Keep Bending a Proven Processor
Once a processor has been proven against historical statements, treat that behavior as locked.
Do not rewrite broad parsing rules merely to make a later file pass.
Instead ask:
Is this a new identifier?
→ reference layer
Is this a new economic event?
→ focused capability module
Is this another representation of an existing event?
→ extend that capability
Is this broker-specific transition activity?
→ focused transition capability
Is the actual statement format materially different?
→ new processor
This distinction is fundamental to the maintainability of the package.
Specific Before Generic
Activity parsers are ordered from more specific grammars to more general ones.
For example:
option trade
before
generic equity trade
option expiration
before
generic security transfer
TD-to-Schwab transition transfer
before
generic security transfer
A row can resemble a generic transaction structurally while representing a more specific economic event.
The specific parser therefore receives the row first.
The dispatcher in activity/__init__.py owns this precedence.
Individual capability modules should not need to know about unrelated capabilities.
Strict Failure
The package intentionally fails on unknown or ambiguous behavior.
It does not silently skip unrecognized activity.
Examples include:
- unknown statement formats
- ambiguous broker detection
- ambiguous processor selection
- unresolved security identifiers
- unknown account activity
- malformed recognized transaction rows
- invalid processor output
A successful parse therefore means more than "some values were extracted."
The parser has accounted for the statement according to a known grammar.
Private Statement Corpus
Real brokerage statements used for development live under:
private-data/statements/
├── tdameritrade/
└── charlesschwab/
These files are private development evidence and must not be committed or distributed with the package.
The private corpus is used to validate real parsing behavior after unit tests have proven individual grammar rules.
Inspecting a Statement
When a real statement fails, inspect the extracted PDF text before changing production code.
Inspect an entire statement:
make inspect-statement \
file="private-data/statements/tdameritrade/TDA - Brokerage Statement_2023-11-30_484.PDF"
Inspect one page:
make inspect-statement \
file="private-data/statements/tdameritrade/TDA - Brokerage Statement_2023-11-30_484.PDF" \
page=2
Limit displayed text when useful:
make inspect-statement \
file="private-data/statements/tdameritrade/TDA - Brokerage Statement_2023-11-30_484.PDF" \
head=2000
The inspection command shows the actual text produced by the package's PDF reader.
Parser grammar should be based on this extracted representation rather than on how the visual PDF appears.
Searching Extracted Statement Evidence
When a failure identifies a specific token, activity description, CUSIP, or corporate-action annotation, search the extracted statement before writing a fix.
Example:
make inspect-statement \
file="private-data/statements/tdameritrade/TDA - Brokerage Statement_2023-06-30_484.PDF" \
| grep -C 15 -E '74347Y839|74347Y771|R/S|REORGANIZATION'
Another example:
make inspect-statement \
file="private-data/statements/tdameritrade/TDA - Brokerage Statement_2020-07-31_484.PDF" \
| grep -C 6 -E 'TO OPEN|TO CLOSE|Commission/Fee'
Inspect enough surrounding evidence to understand the complete grammar.
Do not patch only the first failing token when nearby rows may reveal a larger capability.
Archive Smoke Testing
Use the real private archive after unit tests are green.
Smoke-test the first statement:
make smoke-archive \
folder="private-data/statements/tdameritrade" \
limit=1
Test progressively farther into the archive:
make smoke-archive \
folder="private-data/statements/tdameritrade" \
limit=20
Run the complete TD Ameritrade archive:
make smoke-archive \
folder="private-data/statements/tdameritrade"
The expected current result is:
46 / 46 PASS
with:
2020-03 → 2023-10
processor=tdameritrade.monthly_2020
2023-11 → 2023-12
processor=tdameritrade.transition_2023
The smoke runner processes statements in deterministic filename order and stops on the first unsupported statement unless configured otherwise.
A smoke-test PASS means the real statement traveled through the parsing
pipeline without an exception.
Smoke testing complements unit tests; it does not replace them.
Development Workflow for a New Failure
When the archive stops on a new statement, follow this sequence.
1. Stop at the first failure
Do not immediately modify multiple parsers or run far ahead through the archive.
Record the exact exception and source row.
2. Inspect the real statement
Use make inspect-statement and search for the failing grammar plus surrounding
rows.
Determine whether the problem is:
- a new identifier
- a new grammar variant
- a new economic capability
- or an actual statement-format revision
3. Choose the smallest correct extension point
Examples discovered during real TD Ameritrade archive development:
new CUSIP
→ reference/identifiers.py
XSPA reverse split
→ activity/corporate_actions.py
SNAP/VOD option trades
→ activity/options.py
UVXY option expiration
→ activity/option_expirations.py
margin interest charge
→ activity/expenses.py
TD-to-Schwab security delivery
→ activity/transition_transfers.py
final transition statement structure
→ transition_2023.py
4. Add representative regression tests
Tests should reproduce the real extracted row shape.
Do not simplify a fixture merely to make the current regular expression pass.
The real statement is the evidence. Production grammar should adapt to the proven statement shape.
5. Run all quality gates
At minimum:
make format
make lint
make typecheck
make coverage
Coverage must remain:
100%
6. Re-run the archive from the beginning
Never test only the newly failing month.
For example:
make smoke-archive \
folder="private-data/statements/tdameritrade"
Previously proven statements must continue to pass.
This is how historical behavior remains locked.
7. Commit meaningful capability checkpoints
When a coherent extension is complete and the historical archive remains green, commit it before moving to the next unsupported case.
Avoid mixing unrelated future grammar into the same checkpoint.
Refactoring Rule
Refactoring and new statement behavior should normally be separate operations.
When a subsystem becomes difficult to maintain:
- refactor existing proven behavior first;
- retain 100% branch coverage;
- rerun the real archive;
- verify the same statements pass and
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