Form 144: Parse Insider Restricted Stock Sale Notices

Form 144 is a notice of proposed sale of restricted securities under SEC Rule 144. Filed by company insiders (officers, directors, 10%+ shareholders) before selling restricted or control securities. This guide details all data available from the Form144 class for building views.

Overview

Property	Type	Description
Class Name	`Form144`
Forms Handled	`144`, `144/A`
Module	`edgar.form144`
Source Data	XML document

Basic Metadata

Property	Type	Description	Example
`filing_date`	`str`	Date filed with SEC	`"2023-04-18"`
`is_amendment`	`bool`	Whether this is a 144/A amendment	`False`

Seller Information

Property	Type	Description	Example
`person_selling`	`str`	Name of person selling	`"John Smith"`
`relationships`	`List[str]`	Relationship(s) to issuer	`["Director", "Officer"]`
`address`	`Address`	Seller's address	See Address object
`filer`	`Filer`	SEC filer credentials	CIK, entity name, file number
`contact`	`Contact`	Contact information	Name, phone, email

Address Object

Property	Type	Description
`street1`	`str`	Street line 1
`street2`	`str`	Street line 2
`city`	`str`	City
`state_or_country`	`str`	State/country code
`zipcode`	`str`	ZIP code

Issuer Information

Property	Type	Description	Example
`issuer_name`	`str`	Company name	`"Owens Corning"`
`issuer_cik`	`str`	Company CIK	`"1370946"`
`sec_file_number`	`str`	SEC file number	`"001-36390"`
`issuer_contact_phone`	`str`	Issuer contact phone	`"419-248-8000"`
`company`	`Company`	Full Company object	Lazy-loaded from CIK

Securities Information (Proposed Sale)

The core data about the securities to be sold.

Quick Access Properties (Single Security)

For filings with one security type (most common):

Property	Type	Description	Example
`units_to_be_sold`	`int`	Total shares to sell	`3000`
`market_value`	`float`	Total market value	`300000.0`
`security_class`	`str`	Security type	`"Common"`
`approx_sale_date`	`str`	Approximate sale date	`"04/18/2023"`
`exchange_name`	`str`	Exchange for sale	`"NYSE"`
`broker_name`	`str`	Broker executing sale	`"Fidelity Brokerage Services LLC"`

Aggregation Properties (Multi-Security)

For filings with multiple security types:

Property	Type	Description
`total_units_to_be_sold`	`int`	Sum across all securities
`total_market_value`	`float`	Sum across all securities
`num_securities`	`int`	Count of security types
`is_multi_security`	`bool`	Whether multiple security types

Securities Information Holder

Access the full DataFrame via securities_info:

form144 = filing.obj()

# Holder object with aggregation methods
holder = form144.securities_info

# Properties
holder.empty                    # bool - is data empty?
holder.total_units_to_be_sold   # int - sum of all units
holder.total_market_value       # float - sum of market values
holder.security_classes         # List[str] - all security types
holder.exchanges                # List[str] - unique exchanges
holder.brokers                  # List[str] - unique brokers
holder.percent_of_outstanding   # float - % of outstanding shares
holder.avg_price_per_unit       # float - market_value / units

# Iteration
for row in holder:
    print(row.security_class, row.units_to_be_sold)

# Raw DataFrame
df = form144.securities_information  # pd.DataFrame

Securities Information DataFrame Columns

Column	Type	Description
`security_class`	`str`	Security type (Common, Preferred, etc.)
`units_to_be_sold`	`int`	Number of units
`market_value`	`float`	Aggregate market value
`units_outstanding`	`int`	Total outstanding shares
`approx_sale_date`	`str`	Expected sale date (MM/DD/YYYY)
`exchange_name`	`str`	Exchange code (NYSE, NASDAQ, etc.)
`broker_name`	`str`	Broker/market maker name

Securities To Be Sold (Acquisition History)

Details about how/when the seller acquired the securities.

Access

# Holder with aggregation
holder = form144.securities_selling

holder.empty                  # bool
holder.total_amount_acquired  # int - sum of all acquired
holder.acquisition_dates      # List[str] - unique dates
holder.has_gift_transactions  # bool - any gifts?

# Iteration
for row in holder:
    print(row.acquired_date, row.amount_acquired)

# Raw DataFrame
df = form144.securities_to_be_sold

Securities To Be Sold DataFrame Columns

Column	Type	Description
`security_class`	`str`	Security type
`acquired_date`	`str`	Date acquired (MM/DD/YYYY)
`amount_acquired`	`int`	Shares acquired
`nature_of_acquisition`	`str`	How acquired (e.g., "Employee Stock Award")
`acquired_from`	`str`	Person/entity acquired from
`is_gift`	`str`	Gift transaction? ("Y"/"N")
`donar_acquired_date`	`str`	If gift, when donor acquired
`payment_date`	`str`	Date payment made
`nature_of_payment`	`str`	Payment type (e.g., "CASH")

Securities Sold Past 3 Months

Prior sales within the last 90 days (SEC Rule 144 volume limits).

Access

# Holder with aggregation
holder = form144.recent_sales

holder.empty                 # bool
holder.total_amount_sold     # int - sum of amounts
holder.total_gross_proceeds  # float - sum of proceeds
holder.sellers               # List[str] - unique seller names

# Iteration
for row in holder:
    print(row.sale_date, row.amount_sold, row.gross_proceeds)

# Raw DataFrame
df = form144.securities_sold_past_3_months

# Flag for no activity
form144.nothing_to_report    # bool - no sales in past 3 months

Aggregation Properties

Property	Type	Description
`total_amount_sold_past_3_months`	`int`	Total shares sold recently
`total_gross_proceeds_past_3_months`	`float`	Total proceeds

Securities Sold Past 3 Months DataFrame Columns

Column	Type	Description
`security_class`	`str`	Security type
`seller_name`	`str`	Seller name
`sale_date`	`str`	Date of sale (MM/DD/YYYY)
`amount_sold`	`int`	Shares sold
`gross_proceeds`	`float`	Sale proceeds

Analyst Metrics (Computed Properties)

Pre-computed metrics for investment analysis:

Percentage Metrics

Property	Type	Description
`percent_of_holdings`	`float`	% of outstanding shares being sold
`avg_price_per_unit`	`float`	Market value / units to sell

Holding Period Analysis

Property	Type	Description
`holding_period_days`	`int` or `None`	Avg days held before sale
`holding_period_years`	`float` or `None`	Avg years held

10b5-1 Plan Compliance

Property	Type	Description
`is_10b5_1_plan`	`bool`	Sale under 10b5-1 trading plan
`days_since_plan_adoption`	`int` or `None`	Days from plan adoption to sale
`cooling_off_compliant`	`bool` or `None`	90-day cooling off observed (post-2022 rule)

Anomaly Detection Flags

Property	Type	Description
`is_large_liquidation`	`bool`	Selling >5% of outstanding
`is_short_hold`	`bool`	Holding period <1 year
`has_multiple_plans`	`bool`	Multiple 10b5-1 plan dates
`anomaly_flags`	`List[str]`	All triggered flags

Possible Anomaly Flags: - LARGE_LIQUIDATION - Selling >5% of outstanding shares - SHORT_HOLD - Held <1 year before selling - COOLING_OFF_VIOLATION - <90 days since 10b5-1 plan adoption - MULTIPLE_PLANS - Multiple 10b5-1 plan adoption dates

Notice Signature

Property	Type	Description
`notice_signature.notice_date`	`str`	Date notice signed
`notice_signature.signature`	`str`	Signature text
`notice_signature.plan_adoption_dates`	`List[str]`	10b5-1 plan dates

Remarks

Property	Type	Description
`remarks`	`str`	Additional remarks from filer

Summary Methods

get_summary()

Returns dict with key filing info:

summary = form144.get_summary()
# Returns:
{
    'person_selling': str,
    'issuer': str,
    'issuer_cik': str,
    'relationships': List[str],
    'num_securities': int,
    'total_units_to_be_sold': int,
    'total_market_value': float,
    'security_classes': List[str],
    'exchanges': List[str],
    'nothing_to_report_past_3_months': bool,
    'total_sold_past_3_months': int,
    'is_amendment': bool,
    'filing_date': str,
}

to_analyst_summary()

Returns dict optimized for investment screening:

summary = form144.to_analyst_summary()
# Returns:
{
    # Identity
    'person_selling': str,
    'issuer': str,
    'issuer_cik': str,
    'relationships': List[str],
    'filing_date': str,

    # Sale metrics
    'units_to_sell': int,
    'market_value': float,
    'percent_of_holdings': float,
    'avg_price_per_unit': float,

    # Timing
    'sale_date': str,
    'holding_period_years': float or None,

    # 10b5-1 Plan
    'is_10b5_1_plan': bool,
    'days_since_plan_adoption': int or None,
    'cooling_off_compliant': bool or None,

    # Recent activity
    'sold_past_3_months': int,
    'proceeds_past_3_months': float,

    # Flags
    'anomaly_flags': List[str],

    # Metadata
    'is_amendment': bool,
    'exchange': str,
    'broker': str,
}

to_dataframe()

Returns DataFrame with one row per security:

df = form144.to_dataframe()
# Columns: security_class, units_to_be_sold, market_value, units_outstanding,
#          approx_sale_date, exchange_name, broker_name, person_selling,
#          issuer, issuer_cik, filing_date, is_amendment

View Design Recommendations

Primary View Components

Header Section
Issuer name + CIK
Form type (144 or 144/A amendment)
Filing date
Amendment indicator if applicable
Seller Panel
Person selling (prominent)
Relationship(s) to issuer (badges/tags)
Contact info (collapsible)
Sale Summary Card
Units to be sold (large, highlighted)
Market value
% of holdings
Avg price per unit
Approximate sale date
Exchange / Broker
Compliance Panel
10b5-1 Plan: Yes/No indicator
Days since plan adoption
Cooling off status (green checkmark or red warning)
Anomaly flags (warning badges)
Securities Information Table
Security class, units, market value, sale date
Exchange, broker for each
Acquisition History Table (collapsible)
How/when securities were acquired
Gift transaction indicators
Recent Sales Table (collapsible)
Past 3 months activity
Or "Nothing to report" message
Signature Footer
Notice date
Signature
Plan adoption dates

Data Priority for Display

Priority	Data	Reason
High	Person selling + relationships	Who is selling
High	Units, market value, % holdings	Sale magnitude
High	Anomaly flags	Risk indicators
Medium	10b5-1 compliance	Regulatory context
Medium	Sale date, exchange, broker	Transaction details
Medium	Recent sales (past 3 months)	Volume limit context
Low	Acquisition history	Background detail
Low	Full address, contact	Administrative

Visual Indicators (Suggested)

Condition	Visual Treatment
`is_amendment`	Yellow "Amendment" badge
`is_large_liquidation`	Red warning icon
`is_short_hold`	Orange warning icon
`cooling_off_compliant == False`	Red "Violation" badge
`is_10b5_1_plan`	Blue "10b5-1" badge
Large `market_value` (>$1M)	Emphasized styling

Anomaly Flags Color Coding

Flag	Color	Meaning
`LARGE_LIQUIDATION`	Red	>5% of company being sold
`SHORT_HOLD`	Orange	Held less than 1 year
`COOLING_OFF_VIOLATION`	Red	10b5-1 rule violation
`MULTIPLE_PLANS`	Yellow	Unusual plan activity

Example Data Structure

{
    # Identity
    "person_selling": "Brian O. Chambers",
    "issuer_name": "Owens Corning",
    "issuer_cik": "1370946",
    "relationships": ["Officer"],
    "filing_date": "2023-04-18",
    "is_amendment": False,

    # Sale summary
    "units_to_be_sold": 3000,
    "market_value": 300000.0,
    "percent_of_holdings": 0.0028,
    "avg_price_per_unit": 100.0,
    "security_class": "Common",
    "approx_sale_date": "04/18/2023",
    "exchange_name": "NYSE",
    "broker_name": "Fidelity Brokerage Services LLC",

    # Compliance
    "is_10b5_1_plan": True,
    "days_since_plan_adoption": 120,
    "cooling_off_compliant": True,
    "holding_period_years": 2.5,

    # Flags
    "anomaly_flags": [],

    # Recent activity
    "nothing_to_report": True,
    "total_sold_past_3_months": 0,
    "total_proceeds_past_3_months": 0.0,

    # Securities info (array)
    "securities_information": [
        {
            "security_class": "Common",
            "units_to_be_sold": 3000,
            "market_value": 300000.0,
            "units_outstanding": 107000000,
            "approx_sale_date": "04/18/2023",
            "exchange_name": "NYSE",
            "broker_name": "Fidelity Brokerage Services LLC"
        }
    ],

    # Acquisition history (array)
    "securities_to_be_sold": [
        {
            "security_class": "Common",
            "acquired_date": "03/15/2021",
            "amount_acquired": 500,
            "nature_of_acquisition": "Employee Stock Award",
            "acquired_from": "Issuer",
            "is_gift": "N"
        }
        // ... more entries
    ],

    # Signature
    "notice_date": "04/17/2023",
    "signature": "/s/ Brian O. Chambers",
    "plan_adoption_dates": ["01/15/2023"]
}

Notes for Implementation

XML-Only: Form 144 data comes exclusively from XML. Filings before ~2015 may not have XML and will return None from filing.obj().
Multiple Securities: Some filings contain multiple security types. Always use aggregation properties (total_*) or iterate through securities_info.
Placeholder Dates: SEC forms use 01/01/1933 as placeholder dates. The class filters these out in computed metrics.
Holding Period: Calculated from acquisition dates to sale date. Returns None if dates are invalid or missing.
Cooling Off Rule: The 90-day requirement took effect in 2022. Earlier filings may show "violations" that weren't violations at the time.