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alternative-data

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Actualizado22 de junio de 2026 a las 18:27

Use when subscribing to a QuantConnect/LEAN alternative-data class via py`add_data(<AltClass>, symbol)`cs`AddData<AltClass>(symbol)` and reading the result from py`slice`cs`slice` in py`on_data`cs`OnData`. Triggers — "is this dataset a list or single point per bar", "why does iterating slice[dataset_symbol] fail", "why does .property error on a Quiver/RegAlytics/EODHDEconomicEvents value", missing-attribute errors after py`slice[dataset_symbol]`cs`slice[_datasetSymbol]`. Skip when — the dataset is a universe (use alternative-data-universes), Morningstar fundamentals, ETF constituents, or the price feed comes through py`add_equity`cs`AddEquity` / py`add_option`cs`AddOption` instead of py`add_data`cs`AddData`.

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alternative-data

QuantConnect/Documentation

Use when subscribing to a QuantConnect/LEAN alternative-data class via `AddData<AltClass>(symbol)` and reading the result from `slice` in `OnData`. Triggers — "is this dataset a list or single point per bar", "why does iterating slice[dataset_symbol] fail", "why does .property error on a Quiver/RegAlytics/EODHDEconomicEvents value", missing-attribute errors after `slice[_datasetSymbol]`. Skip when — the dataset is a universe (use alternative-data-universes), Morningstar fundamentals, ETF constituents, or the price feed comes through `AddEquity` / `AddOption` instead of `AddData`.

2026-06-22257

custom-data

QuantConnect/Documentation

Use when adding a custom or external data source to a QuantConnect/LEAN algorithm. Triggers: custom data reader, external dataset, `BaseData`, CSV, JSON, XML, ZIP, REST endpoint, Object Store, linked data, unlinked signals, custom universes, or local files for a QC strategy. Skip existing QC datasets subscribed with `AddData`, unless writing a custom reader.

2026-06-22257

alternative-data

QuantConnect/Documentation

Use when subscribing to a QuantConnect/LEAN alternative-data class via `add_data(<AltClass>, symbol)` and reading the result from `slice` in `on_data`. Triggers — "is this dataset a list or single point per bar", "why does iterating slice[dataset_symbol] fail", "why does .property error on a Quiver/RegAlytics/EODHDEconomicEvents value", missing-attribute errors after `slice[dataset_symbol]`. Skip when — the dataset is a universe (use alternative-data-universes), Morningstar fundamentals, ETF constituents, or the price feed comes through `add_equity` / `add_option` instead of `add_data`.

2026-06-22257

custom-data

QuantConnect/Documentation

Use when adding a custom or external data source to a QuantConnect/LEAN algorithm. Triggers: custom data reader, external dataset, `PythonData`, CSV, JSON, XML, ZIP, REST endpoint, Object Store, linked data, unlinked signals, custom universes, or local files for a QC strategy. Skip existing QC datasets subscribed with `add_data`, unless writing a custom reader.

2026-06-22257

code-quality

QuantConnect/Documentation

Use when writing, reviewing, or refactoring QuantConnect/LEAN algorithm code for style correctness. Triggers: new algorithm code, code review, cleanup, "fix code style", "review code quality", "clean up the algorithm", redundant imports, subscription variable usage, comment format, blank-line rules, multi-line boolean layout, or catch-all error handling. Skip when only debugging runtime behavior or performance, unless the fix also changes style.

2026-06-18257

code-quality

QuantConnect/Documentation

2026-06-18257

name

alternative-data

description

Alternative Data Classes

Subscribe with pyadd_data(<AltClass>, symbol)csAddData<AltClass>(symbol) and read from pyslicecsslice in pyon_datacsOnData. Indexing pyslice[dataset_symbol]csslice[_datasetSymbol] returns either a single data point or a list of data points per bar — see the tables below.

Single Data Point

Indexing pyslice[dataset_symbol]csslice[_datasetSymbol] returns a single object; read properties directly.

def on_data(self, slice: Slice) -> None:
    if slice.contains_key(self.dataset_symbol):
        data_point = slice[self.dataset_symbol]
        self.log(f"{data_point.<property>}")

public override void OnData(Slice slice)
{
    if (slice.ContainsKey(_datasetSymbol))
    {
        var dataPoint = slice[_datasetSymbol];
        Log($"{dataPoint.<Property>}");
    }
}

Class	Dataset	Properties
`BenzingaNews`	Benzinga News Feed	py`id`cs`Id`, py`author`cs`Author`, py`created_at`cs`CreatedAt`, py`updated_at`cs`UpdatedAt`, py`title`cs`Title`, py`teaser`cs`Teaser`, py`contents`cs`Contents`, py`categories`cs`Categories`, py`symbols`cs`Symbols`, py`tags`cs`Tags`
`BitcoinMetadata`	Bitcoin Metadata	py`difficulty`cs`Difficulty`, py`my_wallet_numberof_users`cs`MyWalletNumberofUsers`, py`average_block_size`cs`AverageBlockSize`, py`blockchain_size`cs`BlockchainSize`, py`median_transaction_confirmation_time`cs`MedianTransactionConfirmationTime`, py`miners_revenue`cs`MinersRevenue`, py`hash_rate`cs`HashRate`, py`cost_per_transaction`cs`CostPerTransaction`, py`cost_percentof_transaction_volume`cs`CostPercentofTransactionVolume`, py`estimated_transaction_volume_usd`cs`EstimatedTransactionVolumeUSD`, py`estimated_transaction_volume`cs`EstimatedTransactionVolume`, py`total_output_volume`cs`TotalOutputVolume`, py`numberof_transactionper_block`cs`NumberofTransactionperBlock`, py`numberof_unique_bitcoin_addresses_used`cs`NumberofUniqueBitcoinAddressesUsed`, py`numberof_transactions_excluding_popular_addresses`cs`NumberofTransactionsExcludingPopularAddresses`, py`total_numberof_transactions`cs`TotalNumberofTransactions`, py`numberof_transactions`cs`NumberofTransactions`, py`total_transaction_fees_usd`cs`TotalTransactionFeesUSD`, py`total_transaction_fees`cs`TotalTransactionFees`, py`market_capitalization`cs`MarketCapitalization`, py`total_bitcoins`cs`TotalBitcoins`, py`my_wallet_numberof_transaction_per_day`cs`MyWalletNumberofTransactionPerDay`, py`my_wallet_transaction_volume`cs`MyWalletTransactionVolume`
`BrainCompanyFilingLanguageMetrics10K`	Brain Language Metrics on Company Filings	py`report_date`cs`ReportDate`, py`report_category`cs`ReportCategory`, py`report_period`cs`ReportPeriod`, py`previous_report_date`cs`PreviousReportDate`, py`previous_report_category`cs`PreviousReportCategory`, py`previous_report_period`cs`PreviousReportPeriod`, py`report_sentiment`cs`ReportSentiment`, py`risk_factors_statement_sentiment`cs`RiskFactorsStatementSentiment`, py`management_discussion_analyasis_of_financial_condition_and_results_of_operations`cs`ManagementDiscussionAnalyasisOfFinancialConditionAndResultsOfOperations`
`BrainCompanyFilingLanguageMetricsAll`	Brain Language Metrics on Company Filings	py`report_date`cs`ReportDate`, py`report_category`cs`ReportCategory`, py`report_period`cs`ReportPeriod`, py`previous_report_date`cs`PreviousReportDate`, py`previous_report_category`cs`PreviousReportCategory`, py`previous_report_period`cs`PreviousReportPeriod`, py`report_sentiment`cs`ReportSentiment`, py`risk_factors_statement_sentiment`cs`RiskFactorsStatementSentiment`, py`management_discussion_analyasis_of_financial_condition_and_results_of_operations`cs`ManagementDiscussionAnalyasisOfFinancialConditionAndResultsOfOperations`
`BrainStockRanking10Day`	Brain ML Stock Ranking	py`rank`cs`Rank`
`BrainStockRanking21Day`	Brain ML Stock Ranking	py`rank`cs`Rank`
`BrainStockRanking2Day`	Brain ML Stock Ranking	py`rank`cs`Rank`
`BrainStockRanking3Day`	Brain ML Stock Ranking	py`rank`cs`Rank`
`BrainStockRanking5Day`	Brain ML Stock Ranking	py`rank`cs`Rank`
`BrainSentimentIndicator30Day`	Brain Sentiment Indicator	py`total_article_mentions`cs`TotalArticleMentions`, py`sentimental_article_mentions`cs`SentimentalArticleMentions`, py`sentiment`cs`Sentiment`, py`total_buzz_volume`cs`TotalBuzzVolume`, py`sentimental_buzz_volume`cs`SentimentalBuzzVolume`
`BrainSentimentIndicator7Day`	Brain Sentiment Indicator	py`total_article_mentions`cs`TotalArticleMentions`, py`sentimental_article_mentions`cs`SentimentalArticleMentions`, py`sentiment`cs`Sentiment`, py`total_buzz_volume`cs`TotalBuzzVolume`, py`sentimental_buzz_volume`cs`SentimentalBuzzVolume`
`BrainWikipediaPageViews`	Brain Wikipedia Page Views	py`number_views_1`cs`NumberViews1`, py`buzz_1`cs`Buzz1`, py`number_views_7`cs`NumberViews7`, py`buzz_7`cs`Buzz7`, py`number_views_30`cs`NumberViews30`, py`buzz_30`cs`Buzz30`
`KavoutCompositeFactorBundle`	Composite Factor Bundle	py`growth`cs`Growth`, py`value_factor`cs`ValueFactor`, py`quality`cs`Quality`, py`momentum`cs`Momentum`, py`low_volatility`cs`LowVolatility`
`SmartInsiderIntention`	Corporate Buybacks	py`execution`cs`Execution`, py`execution_entity`cs`ExecutionEntity`, py`execution_holding`cs`ExecutionHolding`, py`amount`cs`Amount`, py`value_currency`cs`ValueCurrency`, py`amount_value`cs`AmountValue`, py`percentage`cs`Percentage`, py`authorization_start_date`cs`AuthorizationStartDate`, py`authorization_end_date`cs`AuthorizationEndDate`, py`price_currency`cs`PriceCurrency`, py`minimum_price`cs`MinimumPrice`, py`maximum_price`cs`MaximumPrice`, py`note_text`cs`NoteText`, py`transaction_id`cs`TransactionID`, py`event_type`cs`EventType`, py`last_update`cs`LastUpdate`, py`last_i_ds_update`cs`LastIDsUpdate`, py`isin`cs`ISIN`, py`usd_market_cap`cs`USDMarketCap`, py`company_id`cs`CompanyID`, py`icb_industry`cs`ICBIndustry`, py`icb_super_sector`cs`ICBSuperSector`, py`icb_sector`cs`ICBSector`, py`icb_sub_sector`cs`ICBSubSector`, py`icb_code`cs`ICBCode`, py`company_name`cs`CompanyName`, py`previous_results_announcement_date`cs`PreviousResultsAnnouncementDate`, py`next_results_announcements_date`cs`NextResultsAnnouncementsDate`, py`next_close_begin`cs`NextCloseBegin`, py`last_close_ended`cs`LastCloseEnded`, py`security_description`cs`SecurityDescription`, py`ticker_country`cs`TickerCountry`, py`ticker_symbol`cs`TickerSymbol`, py`announcement_date`cs`AnnouncementDate`, py`time_released`cs`TimeReleased`, py`time_processed`cs`TimeProcessed`, py`time_released_utc`cs`TimeReleasedUtc`, py`time_processed_utc`cs`TimeProcessedUtc`, py`announced_in`cs`AnnouncedIn`
`SmartInsiderTransaction`	Corporate Buybacks	py`buyback_date`cs`BuybackDate`, py`execution`cs`Execution`, py`execution_entity`cs`ExecutionEntity`, py`execution_holding`cs`ExecutionHolding`, py`currency`cs`Currency`, py`execution_price`cs`ExecutionPrice`, py`amount`cs`Amount`, py`gbp_value`cs`GBPValue`, py`eur_value`cs`EURValue`, py`usd_value`cs`USDValue`, py`note_text`cs`NoteText`, py`buyback_percentage`cs`BuybackPercentage`, py`volume_percentage`cs`VolumePercentage`, py`conversion_rate`cs`ConversionRate`, py`amount_adjusted_factor`cs`AmountAdjustedFactor`, py`price_adjusted_factor`cs`PriceAdjustedFactor`, py`treasury_holding`cs`TreasuryHolding`, py`transaction_id`cs`TransactionID`, py`event_type`cs`EventType`, py`last_update`cs`LastUpdate`, py`last_i_ds_update`cs`LastIDsUpdate`, py`isin`cs`ISIN`, py`usd_market_cap`cs`USDMarketCap`, py`company_id`cs`CompanyID`, py`icb_industry`cs`ICBIndustry`, py`icb_super_sector`cs`ICBSuperSector`, py`icb_sector`cs`ICBSector`, py`icb_sub_sector`cs`ICBSubSector`, py`icb_code`cs`ICBCode`, py`company_name`cs`CompanyName`, py`previous_results_announcement_date`cs`PreviousResultsAnnouncementDate`, py`next_results_announcements_date`cs`NextResultsAnnouncementsDate`, py`next_close_begin`cs`NextCloseBegin`, py`last_close_ended`cs`LastCloseEnded`, py`security_description`cs`SecurityDescription`, py`ticker_country`cs`TickerCountry`, py`ticker_symbol`cs`TickerSymbol`, py`announcement_date`cs`AnnouncementDate`, py`time_released`cs`TimeReleased`, py`time_processed`cs`TimeProcessed`, py`time_released_utc`cs`TimeReleasedUtc`, py`time_processed_utc`cs`TimeProcessedUtc`, py`announced_in`cs`AnnouncedIn`
`ExtractAlphaCrossAssetModel`	Cross Asset Model	py`spread`cs`Spread`, py`skew`cs`Skew`, py`volume_component`cs`VolumeComponent`, py`score`cs`Score`, py`score_slow`cs`ScoreSlow`
`CoinGecko`	Crypto Market Cap	py`coin`cs`Coin`, py`volume`cs`Volume`, py`market_cap`cs`MarketCap`
`NasdaqCustomColumns`	Data Link	py`value`cs`Value`
`NasdaqDataLink`	Data Link	py`period`cs`Period`
`EstimizeConsensus`	Estimize	py`id`cs`Id`, py`source`cs`Source`, py`type`cs`Type`, py`mean`cs`Mean`, py`high`cs`High`, py`low`cs`Low`, py`standard_deviation`cs`StandardDeviation`, py`count`cs`Count`, py`updated_at`cs`UpdatedAt`, py`fiscal_year`cs`FiscalYear`, py`fiscal_quarter`cs`FiscalQuarter`
`EstimizeEstimate`	Estimize	py`id`cs`Id`, py`ticker`cs`Ticker`, py`fiscal_year`cs`FiscalYear`, py`fiscal_quarter`cs`FiscalQuarter`, py`created_at`cs`CreatedAt`, py`eps`cs`Eps`, py`revenue`cs`Revenue`, py`user_name`cs`UserName`, py`analyst_id`cs`AnalystId`, py`flagged`cs`Flagged`
`EstimizeRelease`	Estimize	py`id`cs`Id`, py`fiscal_year`cs`FiscalYear`, py`fiscal_quarter`cs`FiscalQuarter`, py`release_date`cs`ReleaseDate`, py`eps`cs`Eps`, py`revenue`cs`Revenue`, py`wall_street_eps_estimate`cs`WallStreetEpsEstimate`, py`wall_street_revenue_estimate`cs`WallStreetRevenueEstimate`, py`consensus_eps_estimate`cs`ConsensusEpsEstimate`, py`consensus_revenue_estimate`cs`ConsensusRevenueEstimate`, py`consensus_weighted_eps_estimate`cs`ConsensusWeightedEpsEstimate`, py`consensus_weighted_revenue_estimate`cs`ConsensusWeightedRevenueEstimate`
`FearGreedIndex`	Fear and Greed	py`spx`cs`Spx`, py`spx_sma`cs`SpxSma`, py`market_momentum`cs`MarketMomentum`, py`stocks_at_yearly_highs`cs`StocksAtYearlyHighs`, py`stocks_at_yearly_lows`cs`StocksAtYearlyLows`, py`total_for_strength`cs`TotalForStrength`, py`net_yearly_highs_and_lows`cs`NetYearlyHighsAndLows`, py`stock_price_strength`cs`StockPriceStrength`, py`stocks_up_daily`cs`StocksUpDaily`, py`stocks_down_daily`cs`StocksDownDaily`, py`total_for_breadth`cs`TotalForBreadth`, py`mc_clellan_summation_index`cs`McClellanSummationIndex`, py`stock_price_breadth`cs`StockPriceBreadth`, py`put_call_ratio_daily`cs`PutCallRatioDaily`, py`put_call_ratio_sma`cs`PutCallRatioSma`, py`put_call_ratio_normalized`cs`PutCallRatioNormalized`, py`vix`cs`Vix`, py`vix_sma`cs`VixSma`, py`market_volatility`cs`MarketVolatility`, py`stock_returns`cs`StockReturns`, py`bond_returns`cs`BondReturns`, py`stock_bond_return_difference`cs`StockBondReturnDifference`, py`safe_haven_demand`cs`SafeHavenDemand`, py`junk_bond_yield`cs`JunkBondYield`, py`investment_grade_bond_yield`cs`InvestmentGradeBondYield`, py`bond_yield_spread`cs`BondYieldSpread`, py`junk_bond_demand`cs`JunkBondDemand`, py`qc_index`cs`QCIndex`, py`cnn_index`cs`CNNIndex`
`QuiverInsiderTrading`	Insider Trading	py`date`cs`Date`, py`file_date`cs`FileDate`, py`transaction_code`cs`TransactionCode`, py`price_per_share`cs`PricePerShare`, py`shares`cs`Shares`, py`shares_owned_following`cs`SharesOwnedFollowing`, py`acquired_disposed_code`cs`AcquiredDisposedCode`, py`direct_or_indirect_ownership`cs`DirectOrIndirectOwnership`, py`name`cs`Name`, py`officer_title`cs`OfficerTitle`, py`is_director`cs`IsDirector`, py`is_officer`cs`IsOfficer`, py`is_ten_percent_owner`cs`IsTenPercentOwner`, py`is_other`cs`IsOther`
`ExtractAlphaTacticalModel`	Tactical	py`reversal`cs`Reversal`, py`factor_momentum`cs`FactorMomentum`, py`liquidity_shock`cs`LiquidityShock`, py`seasonality`cs`Seasonality`, py`score`cs`Score`
`TiingoNews`	Tiingo News Feed	py`source`cs`Source`, py`crawl_date`cs`CrawlDate`, py`url`cs`Url`, py`published_date`cs`PublishedDate`, py`tags`cs`Tags`, py`description`cs`Description`, py`title`cs`Title`, py`article_id`cs`ArticleID`, py`symbols`cs`Symbols`
`EODHDUpcomingDividends`	Upcoming Dividends	py`dividend_date`cs`DividendDate`, py`declaration_date`cs`DeclarationDate`, py`report_date`cs`ReportDate`, py`payment_date`cs`PaymentDate`, py`dividend`cs`Dividend`
`EODHDUpcomingEarnings`	Upcoming Earnings	py`report_date`cs`ReportDate`, py`report_time`cs`ReportTime`, py`estimate`cs`Estimate`
`EODHDUpcomingIPOs`	Upcoming IPOs	py`name`cs`Name`, py`exchange`cs`Exchange`, py`ipo_date`cs`IpoDate`, py`filing_date`cs`FilingDate`, py`amended_date`cs`AmendedDate`, py`lowest_price`cs`LowestPrice`, py`highest_price`cs`HighestPrice`, py`offer_price`cs`OfferPrice`, py`shares`cs`Shares`, py`deal_type`cs`DealType`
`EODHDUpcomingSplits`	Upcoming Splits	py`split_date`cs`SplitDate`, py`optionable`cs`Optionable`, py`split_factor`cs`SplitFactor`
`BLSEconomicSurveysCes`	US Bureau of Labor Statistics (BLS)	py`total_nonfarm`cs`TotalNonfarm`, py`total_private`cs`TotalPrivate`, py`average_hourly_earnings`cs`AverageHourlyEarnings`, py`average_weekly_hours`cs`AverageWeeklyHours`, py`average_weekly_earnings`cs`AverageWeeklyEarnings`, py`production_hourly_earnings`cs`ProductionHourlyEarnings`, py`production_employees`cs`ProductionEmployees`, py`manufacturing`cs`Manufacturing`, py`goods_producing`cs`GoodsProducing`, py`private_service_providing`cs`PrivateServiceProviding`, py`construction`cs`Construction`, py`retail_trade`cs`RetailTrade`, py`financial_activities`cs`FinancialActivities`, py`education_and_health_services`cs`EducationAndHealthServices`, py`leisure_and_hospitality`cs`LeisureAndHospitality`, py`mining_and_logging`cs`MiningAndLogging`
`BLSEconomicSurveysCpi`	US Bureau of Labor Statistics (BLS)	py`all_items`cs`AllItems`, py`core_cpi`cs`CoreCpi`, py`food`cs`Food`, py`food_at_home`cs`FoodAtHome`, py`food_away_from_home`cs`FoodAwayFromHome`, py`energy`cs`Energy`, py`shelter`cs`Shelter`, py`rent_of_primary_residence`cs`RentOfPrimaryResidence`, py`gasoline`cs`Gasoline`, py`medical_care`cs`MedicalCare`, py`apparel`cs`Apparel`, py`education_and_communication`cs`EducationAndCommunication`, py`new_vehicles`cs`NewVehicles`, py`used_cars_and_trucks`cs`UsedCarsAndTrucks`, py`college_tuition_and_fees`cs`CollegeTuitionAndFees`
`BLSEconomicSurveysJolts`	US Bureau of Labor Statistics (BLS)	py`job_openings`cs`JobOpenings`, py`job_openings_rate`cs`JobOpeningsRate`, py`hires`cs`Hires`, py`hires_rate`cs`HiresRate`, py`quits`cs`Quits`, py`quits_rate`cs`QuitsRate`, py`total_separations`cs`TotalSeparations`, py`layoffs_and_discharges`cs`LayoffsAndDischarges`
`BLSEconomicSurveysPpi`	US Bureau of Labor Statistics (BLS)	py`final_demand`cs`FinalDemand`, py`core_ppi`cs`CorePpi`, py`final_demand_less_food_energy_trade`cs`FinalDemandLessFoodEnergyTrade`, py`final_demand_goods`cs`FinalDemandGoods`, py`final_demand_services`cs`FinalDemandServices`, py`final_demand_construction`cs`FinalDemandConstruction`, py`all_commodities`cs`AllCommodities`, py`farm_products`cs`FarmProducts`, py`processed_foods_and_feeds`cs`ProcessedFoodsAndFeeds`, py`crude_petroleum`cs`CrudePetroleum`, py`final_demand_goods_less_foods`cs`FinalDemandGoodsLessFoods`
`USEnergy`	US Energy Information Administration (EIA)	py`value`cs`Value`
`Fred`	US Federal Reserve (FRED)	py`value`cs`Value`
`QuiverGovernmentContract`	US Government Contracts	py`description`cs`Description`, py`agency`cs`Agency`, py`amount`cs`Amount`
`SECReport10K`	US SEC Filings	py`report`cs`Report`
`SECReport10Q`	US SEC Filings	py`report`cs`Report`
`SECReport8K`	US SEC Filings	py`report`cs`Report`
`USTreasuryYieldCurveRate`	US Treasury Yield Curve	py`one_month`cs`OneMonth`, py`two_month`cs`TwoMonth`, py`three_month`cs`ThreeMonth`, py`six_month`cs`SixMonth`, py`one_year`cs`OneYear`, py`two_year`cs`TwoYear`, py`three_year`cs`ThreeYear`, py`five_year`cs`FiveYear`, py`seven_year`cs`SevenYear`, py`ten_year`cs`TenYear`, py`twenty_year`cs`TwentyYear`, py`thirty_year`cs`ThirtyYear`
`VIXCentralContango`	VIX Central Contango	py`front_month`cs`FrontMonth`, py`f_1`cs`F1`, py`f_2`cs`F2`, py`f_3`cs`F3`, py`f_4`cs`F4`, py`f_5`cs`F5`, py`f_6`cs`F6`, py`f_7`cs`F7`, py`f_8`cs`F8`, py`f_9`cs`F9`, py`f_10`cs`F10`, py`f_11`cs`F11`, py`f_12`cs`F12`, py`contango_f_2_minus_f_1`cs`Contango_F2_Minus_F1`, py`contango_f_7_minus_f_4`cs`Contango_F7_Minus_F4`, py`contango_f_7_minus_f_4_div_3`cs`Contango_F7_Minus_F4_Div_3`, py`period`cs`Period`

List Type

Indexing pyslice[dataset_symbol]csslice[_datasetSymbol] returns the listed outer class; iterate it and read properties off each element.

def on_data(self, slice: Slice) -> None:
    if slice.contains_key(self.dataset_symbol):
        for data_point in slice[self.dataset_symbol]:
            self.log(f"{data_point.<property>}")

public override void OnData(Slice slice)
{
    if (slice.ContainsKey(_datasetSymbol))
    {
        foreach (var dataPoint in slice[_datasetSymbol])
        {
            Log($"{dataPoint.<Property>}");
        }
    }
}

Class	Dataset	Properties
`QuiverCNBCs`->`QuiverCNBC`	CNBC Trading	py`notes`cs`Notes`, py`direction`cs`Direction`, py`traders`cs`Traders`, py`advice_date`cs`AdviceDate`
`QuiverLobbyings`->`QuiverLobbying`	Corporate Lobbying	py`client`cs`Client`, py`issue`cs`Issue`, py`specific_issue`cs`SpecificIssue`, py`amount`cs`Amount`
`EODHDEconomicEvents`->`EODHDEconomicEvent`	Economic Events	py`event_type`cs`EventType`, py`event_period`cs`EventPeriod`, py`country`cs`Country`, py`event_time`cs`EventTime`, py`previous`cs`Previous`, py`estimate`cs`Estimate`
`EODHDMacroIndicators`->`EODHDMacroIndicator`	Macroeconomics Indicators	py`indicator`cs`Indicator`, py`country`cs`Country`, py`frequency`cs`Frequency`
`ExtractAlphaTrueBeats`->`ExtractAlphaTrueBeat`	True Beats	py`fiscal_period`cs`FiscalPeriod`, py`earnings_metric`cs`EarningsMetric`, py`analyst_estimates_count`cs`AnalystEstimatesCount`, py`true_beat`cs`TrueBeat`, py`expert_beat`cs`ExpertBeat`, py`trend_beat`cs`TrendBeat`, py`management_beat`cs`ManagementBeat`
`QuiverCongress`->`QuiverCongressDataPoint`	US Congress Trading	py`record_date`cs`RecordDate`, py`updated_at`cs`UpdatedAt`, py`report_date`cs`ReportDate`, py`transaction_date`cs`TransactionDate`, py`representative`cs`Representative`, py`transaction`cs`Transaction`, py`amount`cs`Amount`, py`maximum_amount`cs`MaximumAmount`, py`house`cs`House`, py`party`cs`Party`, py`district`cs`District`, py`state`cs`State`
`RegalyticsRegulatoryArticles`->`RegalyticsRegulatoryArticle`	US Regulatory Alerts - Financial Sector	py`id`cs`Id`, py`title`cs`Title`, py`summary`cs`Summary`, py`status`cs`Status`, py`classification`cs`Classification`, py`filing_type`cs`FilingType`, py`in_federal_register`cs`InFederalRegister`, py`federal_register_number`cs`FederalRegisterNumber`, py`docket_file_number`cs`DocketFileNumber`, py`sec_release_number`cs`SecReleaseNumber`, py`proposed_comments_due_date`cs`ProposedCommentsDueDate`, py`original_publication_date`cs`OriginalPublicationDate`, py`federal_register_publication_date`cs`FederalRegisterPublicationDate`, py`rule_effective_date`cs`RuleEffectiveDate`, py`sourced_at`cs`SourcedAt`, py`latest_update`cs`LatestUpdate`, py`alert_type`cs`AlertType`, py`states`cs`States`, py`agencies`cs`Agencies`, py`sector`cs`Sector`, py`announcement_url`cs`AnnouncementUrl`, py`created_at`cs`CreatedAt`
`USDAFruitAndVegetables`->`USDAFruitAndVegetable`	USDA Fruit And Vegetables	py`form`cs`Form`, py`average_retail_price`cs`AverageRetailPrice`, py`unit`cs`Unit`, py`preparation_yield_factor`cs`PreparationYieldFactor`, py`cup_equivalent_size`cs`CupEquivalentSize`, py`cup_equivalent_unit`cs`CupEquivalentUnit`, py`price_per_cup_equivalent`cs`PricePerCupEquivalent`

Common mistakes

Iterating a single-point class — that index returns one object; read py.propertycs.Property directly.
Reading py.propertycs.Property on a list-class index — iterate first, then read each element.
Skipping the pyslice.contains_keycsslice.ContainsKey guard — alt-data only lands when there's an event, so the slice may not carry the symbol every bar.
Two list-class wrappers iterate through a sub-attribute, not the value itself: USDAFruitAndVegetables (pycollection.datacscollection.Data) and EODHDEconomicEvents (pyslice.get(EODHDEconomicEvents).get(symbol)csslice.Get<EODHDEconomicEvents>().TryGetValue(symbol, out var events)).