This indicator measures the chart symbol’s percentage change from the opening price at the start of each US presidential term and plots those values as histogram columns in a separate pane. Columns are offset so each administration appears separately, with a s
Indicator · Pine Script v5 · Own pane
Fundamentals Graphing [Kioseff Trading]
This indicator retrieves and displays fundamental financial metrics across up to fourteen selected symbols in a separate pane.
GitHub stars2on the repository
Pine versionv5runs as is
Lines of code1,336
Settings40inputs
LicenceNone statedfile: MPL-2.0
Last update8 months ago25 Feb 2026
Add It to Your TradingView Chart
- 1Copy the scriptPress Copy script above, or the copy button on the code below.
- 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
- 3Paste over the templateCreate a new indicator, select all of the template text and paste. Press Save and give it a name.
- 4Add it to the chartPress Add to chart, then adjust the settings with the gear icon next to its name.
Source Code
1,336 lines of Pine Script v5 from pinescript/editors_picks/fundamentals-graphing-kioseff-trading.pine, published under MPL-2.0 (file header). Keep the author's credit and licence lines when you reuse it.
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © KioseffTrading
//@version=5
indicator("Fundamentals Graphing [Kioseff Trading]", overlay = false, max_lines_count = 500, max_labels_count = 500)
import kaigouthro/hsvColor/15 as kai
// THANK YOU TV + PineCoders (:
string FQ = "Financial Quarter"
string FY = "Financial Year"
// Financial legends.
string F_NA = "⸺"
string F000 = "█ INCOME STATEMENTS █"
string F001 = "After tax other income/expense"
string F002 = "Average basic shares outstanding"
string F003 = "Other COGS"
string F004 = "Cost of goods"
string F005 = "Deprecation and amortization"
string F006 = "Diluted net income available to common stockholders"
string F007 = "Diluted shares outstanding"
string F008 = "Dilution adjustment"
string F009 = "Discontinued operations"
string F010 = "Basic EPS"
string F011 = "Diluted EPS"
string F012 = "EBIT"
string F013 = "EBITDA"
string F014 = "Equity in earnings"
string F015 = "Gross profit"
string F016 = "Taxes"
string F017 = "Interest capitalized"
string F018 = "Interest expense on debt"
string F019 = "Non-controlling/minority interest"
string F020 = "Net income before discontinued operations"
string F021 = "Net income"
string F022 = "Non-operating income, excl. interest expenses"
string F023 = "Interest expense, net of interest capitalized"
string F024 = "Non-operating interest income"
string F025 = "Operating income"
string F026 = "Operating expenses (excl. COGS)"
string F027 = "Miscellaneous non-operating expense"
string F028 = "Other operating expenses, total"
string F029 = "Preferred dividends"
string F030 = "Pretax equity in earnings"
string F031 = "Pretax income"
string F032 = "Research & development"
string F033 = "Selling/general/admin expenses, other"
string F034 = "Selling/general/admin expenses, total"
string F035 = "Non-operating income, total"
string F036 = "Total operating expenses"
string F037 = "Total revenue"
string F038 = "Unusual income/expense"
string F100 = "█ BALANCE SHEET █"
string F101 = "Accounts payable"
string F102 = "Accounts receivable - trade, net"
string F103 = "Accrued payroll"
string F104 = "Accumulated depreciation, total"
string F105 = "Additional paid-in capital/Capital surplus"
string F106 = "Tangible book value per share"
string F107 = "Book value per share"
string F108 = "Capitalized lease obligations"
string F109 = "Capital and operating lease obligations"
string F110 = "Cash & equivalents"
string F111 = "Cash and short term investments"
string F112 = "Common equity, total"
string F113 = "Common stock par/Carrying value"
string F114 = "Current portion of LT debt and capital leases"
string F115 = "Deferred income, current"
string F116 = "Deferred income, non-current"
string F117 = "Deferred tax assets"
string F118 = "Deferred tax liabilities"
string F119 = "Dividends payable"
string F120 = "Goodwill, net"
string F121 = "Income tax payable"
string F122 = "Net intangible assets"
string F123 = "Inventories - finished goods"
string F124 = "Inventories - progress payments & other"
string F125 = "Inventories - raw materials"
string F126 = "Inventories - work in progress"
string F127 = "Investments in unconsolidated subsidiaries"
string F128 = "Long term debt excl. lease liabilities"
string F129 = "Long term debt"
string F130 = "Long term investments"
string F131 = "Note receivable - long term"
string F132 = "Other long term assets, total"
string F133 = "Minority interest"
string F134 = "Notes payable"
string F135 = "Operating lease liabilities"
string F136 = "Other common equity"
string F137 = "Other current assets, total"
string F138 = "Other current liabilities"
string F139 = "Other intangibles, net"
string F140 = "Other investments"
string F141 = "Other liabilities, total"
string F142 = "Other receivables"
string F143 = "Other short term debt"
string F144 = "Paid in capital"
string F145 = "Gross property/plant/equipment"
string F146 = "Net property/plant/equipment"
string F147 = "Preferred stock, carrying value"
string F148 = "Prepaid expenses"
string F149 = "Provision for risks & charge"
string F150 = "Retained earnings"
string F151 = "Short term debt excl. current portion of LT debt"
string F152 = "Short term debt"
string F153 = "Short term investments"
string F154 = "Shareholders' equity"
string F155 = "Total assets"
string F156 = "Total current assets"
string F157 = "Total current liabilities"
string F158 = "Total debt"
string F159 = "Total equity"
string F160 = "Total inventory"
string F161 = "Total liabilities"
string F162 = "Total liabilities & shareholders' equities"
string F163 = "Total non-current assets"
string F164 = "Total non-current liabilities"
string F165 = "Total receivables, net"
string F166 = "Treasury stock - common"
string F200 = "█ CASHFLOW █"
string F201 = "Amortization"
string F202 = "Capital expenditures - fixed assets"
string F203 = "Capital expenditures"
string F204 = "Capital expenditures - other assets"
string F205 = "Cash from financing activities"
string F206 = "Cash from investing activities"
string F207 = "Cash from operating activities"
string F208 = "Deferred taxes (cash flow)"
string F209 = "Depreciation & amortization (cash flow)"
string F210 = "Change in accounts payable"
string F211 = "Change in accounts receivable"
string F212 = "Change in accrued expenses"
string F213 = "Change in inventories"
string F214 = "Change in other assets/liabilities"
string F215 = "Change in taxes payable"
string F216 = "Changes in working capital"
string F217 = "Common dividends paid"
string F218 = "Depreciation/depletion"
string F219 = "Free cash flow"
string F220 = "Funds from operations"
string F221 = "Issuance/retirement of debt, net"
string F222 = "Issuance/retirement of long term debt"
string F223 = "Issuance/retirement of other debt"
string F224 = "Issuance/retirement of short term debt"
string F225 = "Issuance/retirement of stock, net"
string F226 = "Net income (cash flow)"
string F227 = "Non-cash items"
string F228 = "Other financing cash flow items, total"
string F229 = "Financing activities - other sources"
string F230 = "Financing activities - other uses"
string F231 = "Other investing cash flow items, total"
string F232 = "Investing activities - other sources"
string F233 = "Investing activities - other uses"
string F234 = "Preferred dividends paid"
string F235 = "Purchase/acquisition of business"
string F236 = "Purchase of investments"
string F237 = "Repurchase of common & preferred stock"
string F238 = "Purchase/sale of business, net"
string F239 = "Purchase/sale of investments, net"
string F240 = "Reduction of long term debt"
string F241 = "Sale of common & preferred stock"
string F242 = "Sale of fixed assets & businesses"
string F243 = "Sale/maturity of investments"
string F244 = "Issuance of long term debt"
string F245 = "Total cash dividends paid"
string F300 = "█ STATISTICS █"
string F301 = "Accruals"
string F302 = "Altman Z-score"
string F303 = "Asset turnover"
string F304 = "Beneish M-score"
string F305 = "Buyback yield %"
string F306 = "Cash conversion cycle"
string F307 = "Cash to debt ratio"
string F308 = "COGS to revenue ratio"
string F309 = "Current ratio"
string F310 = "Days sales outstanding"
string F311 = "Days inventory"
string F312 = "Days payable"
string F313 = "Debt to assets ratio"
string F314 = "Debt to EBITDA ratio"
string F315 = "Debt to equity ratio"
string F316 = "Debt to revenue ratio"
string F317 = "Dividend payout ratio %"
string F318 = "Dividend yield %"
string F319 = "Dividends per share - common stock primary issue"
string F320 = "EPS estimates"
string F321 = "EPS basic one year growth"
string F322 = "EPS diluted one year growth"
string F323 = "EBITDA margin %"
string F324 = "Effective interest rate on debt %"
string F325 = "Enterprise value to EBITDA ratio"
string F326 = "Enterprise value"
string F327 = "Equity to assets ratio"
string F328 = "Enterprise value to EBIT ratio"
string F329 = "Enterprise value to revenue ratio"
string F330 = "Float shares outstanding"
string F331 = "Free cash flow margin %"
string F332 = "Fulmer H factor"
string F333 = "Goodwill to assets ratio"
string F334 = "Graham's number"
string F335 = "Gross margin %"
string F336 = "Gross profit to assets ratio"
string F337 = "Interest coverage"
string F338 = "Inventory to revenue ratio"
string F339 = "Inventory turnover"
string F340 = "KZ index"
string F341 = "Long term debt to total assets ratio"
string F342 = "Net current asset value per share"
string F343 = "Net income per employee"
string F344 = "Net margin %"
string F345 = "Number of employees"
string F346 = "Operating earnings yield %"
string F347 = "Operating margin %"
string F348 = "PEG ratio"
string F349 = "Piotroski F-score"
string F350 = "Price earnings ratio forward"
string F351 = "Price sales ratio forward"
string F352 = "Price to free cash flow ratio"
string F353 = "Price to tangible book ratio"
string F354 = "Quality ratio"
string F355 = "Quick ratio"
string F356 = "Research & development to revenue ratio"
string F357 = "Return on assets %"
string F358 = "Return on equity adjusted to book value %"
string F359 = "Return on equity %"
string F360 = "Return on invested capital %"
string F361 = "Return on tangible assets %"
string F362 = "Return on tangible equity %"
string F363 = "Revenue one year growth"
string F364 = "Revenue per employee"
string F365 = "Revenue estimates"
string F366 = "Shares buyback ratio %"
string F367 = "Sloan ratio %"
string F368 = "Springate score"
string F369 = "Sustainable growth rate"
string F370 = "Tangible common equity ratio"
string F371 = "Tobin's Q (approximate)"
string F372 = "Total common shares outstanding"
string F373 = "Zmijewski score"
string typeInput1 = input.string(F010 , "Data ", inline = "100", group = "Initial Settings",
options = [F_NA,
F000, F001, F002, F003, F004, F005, F006, F007, F008, F009, F010, F011, F012, F013, F014, F015, F016, F017, F018, F019, F020, F021, F022, F023, F024, F025, F026, F027, F028, F029, F030, F031, F032, F033, F034, F035, F036, F037, F038,
F100, F101, F102, F103, F104, F105, F106, F107, F108, F109, F110, F111, F112, F113, F114, F115, F116, F117, F118, F119, F120, F121, F122, F123, F124, F125, F126, F127, F128, F129, F130, F131, F132, F133, F134, F135, F136, F137, F138, F139, F140, F141, F142, F143, F144, F145, F146, F147, F148, F149, F150, F151, F152, F153, F154, F155, F156, F157, F158, F159, F160, F161, F162, F163, F164, F165, F166,
F200, F201, F202, F203, F204, F205, F206, F207, F208, F209, F210, F211, F212, F213, F214, F215, F216, F217, F218, F219, F220, F221, F222, F223, F224, F225, F226, F227, F228, F229, F230, F231, F232, F233, F234, F235, F236, F237, F238, F239, F240, F241, F242, F243, F244, F245,
F300, F301, F302, F303, F304, F305, F306, F307, F308, F309, F310, F311, F312, F313, F314, F315, F316, F317, F318, F319, F320, F321, F322, F323, F324, F325, F326, F327, F328, F329, F330, F331, F332, F333, F334, F335, F336, F337, F338, F339, F340, F341, F342, F343, F344, F345, F346, F347, F348, F349, F350, F351, F352, F353, F354, F355, F356, F357, F358, F359, F360, F361, F362, F363, F364, F365, F366, F367, F368, F369, F370, F371, F372, F373])
px = input.string(defval = "Technology Services", title = "Preset", group = "Initial Settings",
options = ["Technology Services", "Electronic Technology", "Financial Services", "Health Technology", "Consumer Non-Durables", "Energy Minerals", "Consumer Durables", "Commercial Services", "Retail Trade", "Transportation", "Utilities", "Custom"], inline = "100")
period = input.string(defval = "Fiscal Quarter", title = "Period ", options = ["Fiscal Quarter", "Fiscal Year"], inline = "70", group = "Initial Settings")
intervalsback = input.int (defval = 0, minval = 0, title = "Intervals Back ", inline = "70", group = "Initial Settings")
reverse = input.bool (defval = false, title = "Reverse Colors" , inline = "33", group = "Initial Settings")
revScale = input.bool (defval = false, title = "Reverse Scale" , inline = "33", group = "Initial Settings")
columns = input.string(defval = "Scatter + Columns", title = "Plot Type", group = "Plot Type",
options= ["Scatter", "Columns", "Scatter + Columns", "Bar", "Pie Chart","Drop Down"])
sort = input.string(defval = "None", title = "Sort Data ", options = ["None", "Descending", "Ascending"], group = "Scatter / Columns / Bars")
boxnobg = input.bool (defval = false, title = "Move Data to Box", group = "Scatter / Columns / Bars" )
searchF = input.bool (defval = false, title = "Use Search Function", inline = "40", group = "Search Function" )
search = input.string(defval = "", title = "Search Function" , inline = "40", group = "Search Function" )
upcolor = input.color (defval = color.lime, title = "Up Color " , inline = "90", group = "Colors" )
downcolor = input.color (defval = color.red, title = "Down Color" , inline = "90", group = "Colors" )
midCol = input.color (defval = color.white, title = "Median Color", inline = "90", group = "Colors" )
usebg = input.bool (defval = true, title = "Use Background Color", inline = "91", group = "Colors" )
cbg = input.color (defval = #000000, title = "Background Color" , inline = "91", group = "Colors" )
var timeArray = array.new_int()
getId(simple string userFinancialChoice) =>
string result = switch userFinancialChoice
F001 => "AFTER_TAX_OTHER_INCOME"
F002 => "BASIC_SHARES_OUTSTANDING"
F003 => "COST_OF_GOODS_EXCL_DEP_AMORT"
F004 => "COST_OF_GOODS"
F005 => "DEP_AMORT_EXP_INCOME_S"
F006 => "DILUTED_NET_INCOME"
F007 => "DILUTED_SHARES_OUTSTANDING"
F008 => "DILUTION_ADJUSTMENT"
F009 => "DISCONTINUED_OPERATIONS"
F010 => "EARNINGS_PER_SHARE_BASIC"
F011 => "EARNINGS_PER_SHARE_DILUTED"
F012 => "EBIT"
F013 => "EBITDA"
F014 => "EQUITY_IN_EARNINGS"
F015 => "GROSS_PROFIT"
F016 => "INCOME_TAX"
F017 => "INTEREST_CAPITALIZED"
F018 => "INTEREST_EXPENSE_ON_DEBT"
F019 => "MINORITY_INTEREST_EXP"
F020 => "NET_INCOME_BEF_DISC_OPER"
F021 => "NET_INCOME"
F022 => "NON_OPER_INCOME"
F023 => "NON_OPER_INTEREST_EXP"
F024 => "NON_OPER_INTEREST_INCOME"
F025 => "OPER_INCOME"
F026 => "OPERATING_EXPENSES"
F027 => "OTHER_INCOME"
F028 => "OTHER_OPER_EXPENSE_TOTAL"
F029 => "PREFERRED_DIVIDENDS"
F030 => "PRETAX_EQUITY_IN_EARNINGS"
F031 => "PRETAX_INCOME"
F032 => "RESEARCH_AND_DEV"
F033 => "SELL_GEN_ADMIN_EXP_OTHER"
F034 => "SELL_GEN_ADMIN_EXP_TOTAL"
F035 => "TOTAL_NON_OPER_INCOME"
F036 => "TOTAL_OPER_EXPENSE"
F037 => "TOTAL_REVENUE"
F038 => "UNUSUAL_EXPENSE_INC"
F101 => "ACCOUNTS_PAYABLE"
F102 => "ACCOUNTS_RECEIVABLES_NET"
F103 => "ACCRUED_PAYROLL"
F104 => "ACCUM_DEPREC_TOTAL"
F105 => "ADDITIONAL_PAID_IN_CAPITAL"
F106 => "BOOK_TANGIBLE_PER_SHARE"
F107 => "BOOK_VALUE_PER_SHARE"
F108 => "CAPITAL_LEASE_OBLIGATIONS"
F109 => "CAPITAL_OPERATING_LEASE_OBLIGATIONS"
F110 => "CASH_N_EQUIVALENTS"
F111 => "CASH_N_SHORT_TERM_INVEST"
F112 => "COMMON_EQUITY_TOTAL"
F113 => "COMMON_STOCK_PAR"
F114 => "CURRENT_PORT_DEBT_CAPITAL_LEASES"
F115 => "DEFERRED_INCOME_CURRENT"
F116 => "DEFERRED_INCOME_NON_CURRENT"
F117 => "DEFERRED_TAX_ASSESTS"
F118 => "DEFERRED_TAX_LIABILITIES"
F119 => "DIVIDENDS_PAYABLE"
F120 => "GOODWILL"
F121 => "INCOME_TAX_PAYABLE"
F122 => "INTANGIBLES_NET"
F123 => "INVENTORY_FINISHED_GOODS"
F124 => "INVENTORY_PROGRESS_PAYMENTS"
F125 => "INVENTORY_RAW_MATERIALS"
F126 => "INVENTORY_WORK_IN_PROGRESS"
F127 => "INVESTMENTS_IN_UNCONCSOLIDATE"
F128 => "LONG_TERM_DEBT_EXCL_CAPITAL_LEASE"
F129 => "LONG_TERM_DEBT"
F130 => "LONG_TERM_INVESTMENTS"
F131 => "LONG_TERM_NOTE_RECEIVABLE"
F132 => "LONG_TERM_OTHER_ASSETS_TOTAL"
F133 => "MINORITY_INTEREST"
F134 => "NOTES_PAYABLE_SHORT_TERM_DEBT"
F135 => "OPERATING_LEASE_LIABILITIES"
F136 => "OTHER_COMMON_EQUITY"
F137 => "OTHER_CURRENT_ASSETS_TOTAL"
F138 => "OTHER_CURRENT_LIABILITIES"
F139 => "OTHER_INTANGIBLES_NET"
F140 => "OTHER_INVESTMENTS"
F141 => "OTHER_LIABILITIES_TOTAL"
F142 => "OTHER_RECEIVABLES"
F143 => "OTHER_SHORT_TERM_DEBT"
F144 => "PAID_IN_CAPITAL"
F145 => "PPE_TOTAL_GROSS"
F146 => "PPE_TOTAL_NET"
F147 => "PREFERRED_STOCK_CARRYING_VALUE"
F148 => "PREPAID_EXPENSES"
F149 => "PROVISION_F_RISKS"
F150 => "RETAINED_EARNINGS"
F151 => "SHORT_TERM_DEBT_EXCL_CURRENT_PORT"
F152 => "SHORT_TERM_DEBT"
F153 => "SHORT_TERM_INVEST"
F154 => "SHRHLDRS_EQUITY"
F155 => "TOTAL_ASSETS"
F156 => "TOTAL_CURRENT_ASSETS"
F157 => "TOTAL_CURRENT_LIABILITIES"
F158 => "TOTAL_DEBT"
F159 => "TOTAL_EQUITY"
F160 => "TOTAL_INVENTORY"
F161 => "TOTAL_LIABILITIES"
F162 => "TOTAL_LIABILITIES_SHRHLDRS_EQUITY"
F163 => "TOTAL_NON_CURRENT_ASSETS"
F164 => "TOTAL_NON_CURRENT_LIABILITIES"
F165 => "TOTAL_RECEIVABLES_NET"
F166 => "TREASURY_STOCK_COMMON"
F201 => "AMORTIZATION"
F202 => "CAPITAL_EXPENDITURES_FIXED_ASSETS"
F203 => "CAPITAL_EXPENDITURES"
F204 => "CAPITAL_EXPENDITURES_OTHER_ASSETS"
F205 => "CASH_F_FINANCING_ACTIVITIES"
F206 => "CASH_F_INVESTING_ACTIVITIES"
F207 => "CASH_F_OPERATING_ACTIVITIES"
F208 => "CASH_FLOW_DEFERRED_TAXES"
F209 => "CASH_FLOW_DEPRECATION_N_AMORTIZATION"
F210 => "CHANGE_IN_ACCOUNTS_PAYABLE"
F211 => "CHANGE_IN_ACCOUNTS_RECEIVABLE"
F212 => "CHANGE_IN_ACCRUED_EXPENSES"
F213 => "CHANGE_IN_INVENTORIES"
F214 => "CHANGE_IN_OTHER_ASSETS"
F215 => "CHANGE_IN_TAXES_PAYABLE"
F216 => "CHANGES_IN_WORKING_CAPITAL"
F217 => "COMMON_DIVIDENDS_CASH_FLOW"
F218 => "DEPRECIATION_DEPLETION"
F219 => "FREE_CASH_FLOW"
F220 => "FUNDS_F_OPERATIONS"
F221 => "ISSUANCE_OF_DEBT_NET"
F222 => "ISSUANCE_OF_LONG_TERM_DEBT"
F223 => "ISSUANCE_OF_OTHER_DEBT"
F224 => "ISSUANCE_OF_SHORT_TERM_DEBT"
F225 => "ISSUANCE_OF_STOCK_NET"
F226 => "NET_INCOME_STARTING_LINE"
F227 => "NON_CASH_ITEMS"
F228 => "OTHER_FINANCING_CASH_FLOW_ITEMS_TOTAL"
F229 => "OTHER_FINANCING_CASH_FLOW_SOURCES"
F230 => "OTHER_FINANCING_CASH_FLOW_USES"
F231 => "OTHER_INVESTING_CASH_FLOW_ITEMS_TOTAL"
F232 => "OTHER_INVESTING_CASH_FLOW_SOURCES"
F233 => "OTHER_INVESTING_CASH_FLOW_USES"
F234 => "PREFERRED_DIVIDENDS_CASH_FLOW"
F235 => "PURCHASE_OF_BUSINESS"
F236 => "PURCHASE_OF_INVESTMENTS"
F237 => "PURCHASE_OF_STOCK"
F238 => "PURCHASE_SALE_BUSINESS"
F239 => "PURCHASE_SALE_INVESTMENTS"
F240 => "REDUCTION_OF_LONG_TERM_DEBT"
F241 => "SALE_OF_STOCK"
F242 => "SALES_OF_BUSINESS"
F243 => "SALES_OF_INVESTMENTS"
F244 => "SUPPLYING_OF_LONG_TERM_DEBT"
F245 => "TOTAL_CASH_DIVIDENDS_PAID"
F301 => "ACCRUALS_RATIO"
F302 => "ALTMAN_Z_SCORE"
F303 => "ASSET_TURNOVER"
F304 => "BENEISH_M_SCORE"
F305 => "BUYBACK_YIELD"
F306 => "CASH_CONVERSION_CYCLE"
F307 => "CASH_TO_DEBT"
F308 => "COGS_TO_REVENUE"
F309 => "CURRENT_RATIO"
F310 => "DAY_SALES_OUT"
F311 => "DAYS_INVENT"
F312 => "DAYS_PAY"
F313 => "DEBT_TO_ASSET"
F314 => "DEBT_TO_EBITDA"
F315 => "DEBT_TO_EQUITY"
F316 => "DEBT_TO_REVENUE"
F317 => "DIVIDEND_PAYOUT_RATIO"
F318 => "DIVIDENDS_YIELD"
F319 => "DPS_COMMON_STOCK_PRIM_ISSUE"
F320 => "EARNINGS_ESTIMATE"
F321 => "EARNINGS_PER_SHARE_BASIC_ONE_YEAR_GROWTH"
F322 => "EARNINGS_PER_SHARE_DILUTED_ONE_YEAR_GROWTH"
F323 => "EBITDA_MARGIN"
F324 => "EFFECTIVE_INTEREST_RATE_ON_DEBT"
F325 => "ENTERPRISE_VALUE_EBITDA"
F326 => "ENTERPRISE_VALUE"
F327 => "EQUITY_TO_ASSET"
F328 => "EV_EBIT"
F329 => "EV_REVENUE"
F330 => "FLOAT_SHARES_OUTSTANDING"
F331 => "FREE_CASH_FLOW_MARGIN"
F332 => "FULMER_H_FACTOR"
F333 => "GOODWILL_TO_ASSET"
F334 => "GRAHAM_NUMBERS"
F335 => "GROSS_MARGIN"
F336 => "GROSS_PROFIT_TO_ASSET"
F337 => "INTERST_COVER"
F338 => "INVENT_TO_REVENUE"
F339 => "INVENT_TURNOVER"
F340 => "KZ_INDEX"
F341 => "LONG_TERM_DEBT_TO_ASSETS"
F342 => "NCAVPS_RATIO"
F343 => "NET_INCOME_PER_EMPLOYEE"
F344 => "NET_MARGIN"
F345 => "NUMBER_OF_EMPLOYEES"
F346 => "OPERATING_EARNINGS_YIELD"
F347 => "OPERATING_MARGIN"
F348 => "PEG_RATIO"
F349 => "PIOTROSKI_F_SCORE"
F350 => "PRICE_EARNINGS_FORWARD"
F351 => "PRICE_SALES_FORWARD"
F352 => "PRICE_TO_FREE_CASH_FLOW"
F353 => "PRICE_TO_TANGIBLE_BOOK"
F354 => "QUALITY_RATIO"
F355 => "QUICK_RATIO"
F356 => "RESEARCH_AND_DEVELOP_TO_REVENUE"
F357 => "RETURN_ON_ASSETS"
F358 => "RETURN_ON_EQUITY_ADJUST_TO_BOOK"
F359 => "RETURN_ON_EQUITY"
F360 => "RETURN_ON_INVESTED_CAPITAL"
F361 => "RETURN_ON_TANG_ASSETS"
F362 => "RETURN_ON_TANG_EQUITY"
F363 => "REVENUE_ONE_YEAR_GROWTH"
F364 => "REVENUE_PER_EMPLOYEE"
F365 => "SALES_ESTIMATES"
F366 => "SHARE_BUYBACK_RATIO"
F367 => "SLOAN_RATIO"
F368 => "SPRINGATE_SCORE"
F369 => "SUSTAINABLE_GROWTH_RATE"
F370 => "TANGIBLE_COMMON_EQUITY_RATIO"
F371 => "TOBIN_Q_RATIO"
F372 => "TOTAL_SHARES_OUTSTANDING"
F373 => "ZMIJEWSKI_SCORE"
=> ""
upcol = switch reverse
false => revScale == false ? upcolor : downcolor
=> revScale == false ? downcolor : upcolor
dncol = switch reverse
false => revScale == false ? downcolor : upcolor
=> revScale == false ? upcolor : downcolor
per = switch period
"Fiscal Quarter" => "FQ"
"Fiscal Year" => "FY"
var float max = 0.0, var float min = 1e8
if time >= chart.left_visible_bar_time
timeArray.unshift(math.round(time))
max := math.max(high, max)
min := math.min(low, min)
calc = (max - min) / 10, st = "Symbols"
tf(string , string1, string2, string3, string4, string5, string6, string7, string8, string9, string10, stringx) =>
prefix = "BATS:"
switch px
"Technology Services" => prefix + string
"Financial Services" => prefix + string1
"Electronic Technology" => prefix + string2
"Health Technology" => prefix + string3
"Consumer Non-Durables" => prefix + string4
"Energy Minerals" => prefix + string5
"Consumer Durables" => prefix + string6
"Commercial Services" => prefix + string7
"Retail Trade" => prefix + string8
"Transportation" => prefix + string9
"Utilities" => prefix + string10
=> stringx
type values
float symbolData
string symbol
string yearCount
box colmn
color symbolColor
line shapeLines
linefill shapeLinesFill
label symbolLabel
float top
float bot
int l
int r
array <float> dataArr
array <string> symbolArr
symbolMat = matrix.new<values>(2, 40)
req( x, simple string symbol ) =>
n = request.financial(symbol, searchF == false ? getId(typeInput1) : getId(search), per, ignore_invalid_symbol = true)
symbolMat.set(0, x, values.new(symbolData = n)), symbolMat.set(1, x, values.new(symbol = symbol))
[n, symbol]
req(0 , tf("MSFT" ,"BRK.B" , "AAPL" , "JNJ" , "CROX" , "XOM" , "TSLA", "PYPL", "AMZN" , "UBER", "NEE" , input.symbol(defval = "MSFT", title = "Symbol 1", inline = "0" , group = st))), [d1 ,s1 ] = req(1 , tf("GOOGL" ,"JPM" , "NVDA" , "LLY" , "BGS" , "HES" , "HAS" , "NSSC", "W" , "INSW" , "TRGP", input.symbol(defval = "AAPL", title = "Symbol 2 ", inline = "0" , group = st)))
req(2 , tf("META" ,"BAC" , "AVGO" , "ABBV" , "PG" , "OXY" , "RIVN", "TRKA", "BBBY" , "AAL" , "RUN" , input.symbol(defval = "NVDA", title = "Symbol 3 ", inline = "2 ", group = st))), [d3 ,s3 ] = req(3 , tf("PAYX" ,"WFC" , "CSCO" , "MRK" , "CELH" , "AMR" , "RACE" , "ASST", "BBY" , "SKYW" , "FE" , input.symbol(defval = "V" , title = "Symbol 4 ", inline = "2 ", group = st)))
req(4 , tf("ADBE" ,"MS" , "TXN" , "DHR" , "ELF" , "CVX" , "LCID", "V" , "GME" , "LYFT", "D" , input.symbol(defval = "MA" , title = "Symbol 5 ", inline = "4 ", group = st))), [d5 ,s5 ] = req(5 , tf("INTU" ,"SCHW" , "RTX" , "ABT" , "KO" , "TELL" , "IDEX" , "MCO" , "CHWY" , "CSX" , "PEG" , input.symbol(defval = "META", title = "Symbol 6 ", inline = "4 ", group = st)))
req(6 , tf("NFLX" ,"AXP" , "QCOM" , "BMY" , "PEP" , "DVN" , "F" , "MA" , "COST" , "ZIM" , "ES" , input.symbol(defval = "SBUX", title = "Symbol 7 ", inline = "6 ", group = st))), [d7 ,s7 ] = req(7 , tf("ORCL" ,"GS" , "HON" , "PFE" , "KHC" , "AMPY" , "KBH" , "MEDP", "WBA" , "TDW" , "MDU" , input.symbol(defval = "JNJ" , title = "Symbol 8 ", inline = "6 ", group = st)))
req(8 , tf("CRM" ,"PLD" , "INTC" , "TMO" , "VFC" , "COP" , "ROKU", "FOUR", "WMT" , "UAL" , "DUK" , input.symbol(defval = "T" , title = "Symbol 9 ", inline = "8 ", group = st))), [d9 ,s9 ] = req(9, tf("IBM" ,"BLK" , "ADI" , "AMGN", "COTY" , "ARCH" , "RIDE" , "EB" , "EBAY" , "ODFL" , "SRE" , input.symbol(defval = "HD" , title = "Symbol 10", inline = "8 ", group = st)))
req(10, tf("ACN" ,"C" , "NOC" , "REGN" , "COCO" , "VLO" , "GM" , "MQ" , "TGT" , "DAL" , "SO" , input.symbol(defval = "Z" , title = "Symbol 11", inline = "10", group = st))), [d11,s11] = req(11, tf("ROP" ,"AMT" , "AMD" , "ISRG", "NKE" , "RRC" , "ARVL" , "IPDN", "ULTA" , "FLNG" , "EIX" , input.symbol(defval = "AMZN", title = "Symbol 12", inline = "10", group = st)))
req(12, tf("ATVI" ,"CB" , "BA" , "ZTS" , "GLS" , "BTU" , "FSR" , "CHGG", "HD" , "FDX" , "CEG" , input.symbol(defval = "TSLA", title = "Symbol 13", inline = "12", group = st))), [d13,s13] = req(13, tf("SNPS" ,"PGR" , "LMT" , "MDT" , "PM" , "CRK" , "GPRO" , "TWKS", "WISH" , "DHT" , "AQN" , input.symbol(defval = "AMD" , title = "Symbol 14", inline = "12", group = st)))
req(14, tf("CDNS" ,"MMC" , "GD" , "GILD" , "PM" , "MPC" , "NKLA", "CPRT", "CVNA" , "HLBZ", "AEP" , input.symbol(defval = "GOOG", title = "Symbol 15", inline = "14", group = st))), [d15,s15] = req(15, tf("ADSK" ,"USB" , "MU" , "SYK" , "UL" , "PR" , "WHR" , "WEX" , "AAP" , "LPG" , "PPL" , input.symbol(defval = "NIO" , title = "Symbol 16", inline = "14", group = st)))
req(16, tf("NOW" ,"FISV" , "KLAC" , "VRTX" , "BROS" , "MRO" , "GOEV", "PGNY", "LOW" , "UPS" , "AWK" , input.symbol(defval = "BABA", title = "Symbol 17", inline = "16", group = st))), [d17,s17] = req(17, tf("EQIX" ,"CME" , "FTNT" , "BDX" , "BUD" , "VET" , "LZB" , "STGW", "CPNG" , "JBLU" , "NEP" , input.symbol(defval = "IBM" , title = "Symbol 18", inline = "16", group = st)))
req(18, tf("ADP" ,"AON" , "EMR" , "MRNA" , "ONON" , "EQT" , "DHI" , "PAYO", "BYND" , "UNP" , "CLNE", input.symbol(defval = "AFRM", title = "Symbol 19", inline = "18", group = st))), [d19,s19] = req(19, tf("MSCI" ,"PNC" , "MCHP" , "EW" , "MDLZ" , "KOS" , "FTDR" , "HURN", "FTCH" , "GSL" , "NI" , input.symbol(defval = "ABNB", title = "Symbol 20", inline = "18", group = st)))
req(20, tf("CTSH" ,"CCI" , "NXPI" , "DXCM" , "TSN" , "CTRA", "WKHS", "FIS" , "M" , "LUV" , "EXC" , input.symbol(defval = "MSFT", title = "Symbol 21", inline = "20", group = st))), [d21,s21] = req(21, tf("VRSK" ,"SPG" , "HPE" , "A" , "UAA" , "OVV" , "TPX" , "OMC" , "BLDR" , "GOGL" , "ETR" , input.symbol(defval = "AAPL", title = "Symbol 22", inline = "20", group = st)))
req(22, tf("IT" ,"ICE" , "ANET" , "BIIB" , "CLX" , "PXD" , "ARHS", "SPGI", "DLTR" , "ASC" , "PCG" , input.symbol(defval = "NVDA", title = "Symbol 23", inline = "22", group = st))), [d23,s23] = req(23, tf("ANSS" ,"AJG" , "KEYS" , "RMD" , "EL" , "CNQ" , "DPRO" , "TASK", "DG" , "SYY" , "CNP" , input.symbol(defval = "V" , title = "Symbol 24", inline = "22", group = st)))
req(24, tf("EA" ,"MET" , "MSI" , "ILMN" , "IPAR" , "EOG" , "LEN" , "WE" , "KSS" , "STNG", "NFE" , input.symbol(defval = "MA" , title = "Symbol 25", inline = "24", group = st))), [d25,s25] = req(25, tf("VRSN" ,"PRU" , "FTV" , "MTD" , "BTI" , "CEI" , "GT" , "AMN" , "TJX" , "SAVE" , "LNT" , input.symbol(defval = "META", title = "Symbol 26", inline = "24", group = st)))
req(26, tf("EPAM" ,"PSA" , "ROK" , "ALGN" , "K" , "AR" , "VSTO", "BTBT", "ETSY" , "FRO" , "AES" , input.symbol(defval = "SBUX", title = "Symbol 27", inline = "26", group = st))), [d27,s27] = req(27, tf("BR" ,"AMP" , "GRMN" , "WST" , "MO" , "WMB" , "HOG" , "PIXY", "JWN" , "EURN" , "AEE" , input.symbol(defval = "JNJ" , title = "Symbol 28", inline = "26", group = st)))
req(28, tf("FDS" ,"AIG" , "ON" , "BAX" , "HBI" , "SWN" , "FFIE", "RELY", "CHPT" , "BAER", "NOVA", input.symbol(defval = "T" , title = "Symbol 29", inline = "28", group = st))), [d29,s29] = req(29, tf("CSGP" ,"WELL" , "FLSR" , "HOLX", "KDP" , "CHK" , "CENN" , "MLEC", "AZO" , "IMPP" , "ATO" , input.symbol(defval = "HD" , title = "Symbol 30", inline = "28", group = st)))
req(30, tf("TTWO" ,"TRV" , "HPQ" , "STE" , "CL" , "APA" , "TOL" , "BKKT", "MELI" , "VRRM", "NRG" , input.symbol(defval = "Z" , title = "Symbol 31", inline = "30", group = st))), [d31,s31] = req(31, tf("PTC" ,"VICI" , "SWKS" , "WAT" , "DECK" , "HCC" , "LOVE" , "MEG" , "ROST" , "GNK" , "BEP" , input.symbol(defval = "AMZN", title = "Symbol 32", inline = "30", group = st)))
req(32, tf("TRMB" ,"AFL" , "GLW" , "INCY" , "CAG" , "FANG", "FNKO", "GPN" , "CVS" , "GRAB", "XEL" , input.symbol(defval = "TSLA", title = "Symbol 33", inline = "32", group = st))), [d33,s33] = req(33, tf("DXC" ,"ALL" , "HWM" , "COO" , "KMB" , "PARR" , "GRBK" , "ADT" , "TPR" , "TNP" , "DTE" , input.symbol(defval = "AMD" , title = "Symbol 34", inline = "32", group = st)))
req(34, tf("JKHY" ,"COF" , "ENPH" , "PKI" , "TTCF" , "PSX" , "PHM" , "UPWK", "LULU" , "NAT" , "MAXN", input.symbol(defval = "GOOG", title = "Symbol 35", inline = "34", group = st))), [d35,s35] = req(35, tf("CDW" ,"URI" , "TXT" , "BIO" , "SAM" , "CVE" , "NVR" , "PAGS", "SFM" , "TRMD" , "WEC" , input.symbol(defval = "NIO" , title = "Symbol 36", inline = "34", group = st)))
req(36, tf("PAYC" ,"BK" , "MPWR" , "VTRS" , "CPB" , "PBF" , "STLA", "VERI", "KR" , "TNK" , "BWXT", input.symbol(defval = "BABA", title = "Symbol 37", inline = "36", group = st))), [d37,s37] = req(37, tf("TYL" ,"CBRE" , "NTAP" , "CTLT", "STZ" , "WTI" , "GOLF" , "NOTV", "DKS" , "TK" , "PNW" , input.symbol(defval = "IBM" , title = "Symbol 38", inline = "36", group = st)))
req(38, tf("GEN" ,"O" , "TDY" , "TFX" , "TR" , "SU" , "SWK" , "ADV" , "W" , "NSC" , "ED" , input.symbol(defval = "AFRM", title = "Symbol 39", inline = "38", group = st))), [d39,s39] = req(39, tf("MTCH" ,"ARE" , "LDOS" , "TECH", "LEVI" , "CPE" , "LKQ" , "IPG" , "ORLY" , "ALK" , "KEN" , input.symbol(defval = "ABNB", title = "Symbol 40", inline = "38", group = st)))
type dropDown
float data
float coordinate
string symbol
var histData = matrix.new<values>(40, 1), var scatterShapes = matrix.new<values>(7, 40), var pieShapes = matrix.new<values>(4, 1) , mid = 0
cArray = array.new <values>(), var gemMat = matrix.new<dropDown>(10, 40), right = 0
b( float ) =>
max - ((max - min) * float )
x( float , mult ) =>
timeArray.get(math.round(math.max(timeArray.indexof( right) + (mid * (float + (.20 * mult))), 0)))
append(string , bool , int ) =>
if timeframe.change("M") and month == int
histData.add_row(histData.rows())
histData.add_col(histData.columns())
histData.set(histData.rows() - 1, 0, values.new(yearCount = string + str.tostring(bool == false ? year : year - 1)))
for i = 0 to symbolMat.columns() - 1
histData.set(i, histData.columns() - 1, values.new(symbolData = symbolMat.get(0, i).symbolData))
if per == "FQ"
append("Q3 ", false, 10), append("Q4 ", true , 1)
append("Q1 ", false, 4 ), append("Q2 ", false, 7)
else
if ta.change(year)
histData.add_row(histData.rows())
histData.add_col(histData.columns())
histData.set(histData.rows() - 1, 0, values.new(yearCount = str.tostring(year - 1)))
for i = 0 to symbolMat.columns() - 1
histData.set(i, histData.columns() - 1, values.new(symbolData = symbolMat.get(0, i).symbolData))
if barstate.islastconfirmedhistory
if timeframe.multiplier < 240 and not timeframe.isdwm
runtime.error("Please Select 4-Hour Chart or Greater Resolution")
colCond = columns != "Pie Chart" and columns != "Drop Down"
if intervalsback != 0
for i = 0 to 39
n = histData.get(i, histData.columns() - intervalsback)
if not na(n)
symbolMat.set(0, i, values.new(symbolData = nz(n.symbolData)))
string dateF = switch intervalsback != 0
false => "Current"
=> histData.get(histData.rows() - intervalsback, 0).yearCount
copy = values.new(dataArr = array.new_float(), symbolArr = array.new_string()),
for i = 0 to symbolMat.columns() - 1
array.push(copy.dataArr , symbolMat.get(0, i).symbolData)
array.push(copy.symbolArr , symbolMat.get(1, i).symbol )
if sort != "None" or columns == "Pie Chart" or columns == "Drop Down"
if columns != "Pie Chart" and columns != "Drop Down"
order = switch sort
"Descending" => order.ascending
=> order.descending
copy.dataArr.sort(order)
else
order = order.descending, copy.dataArr.sort(order)
for i = 0 to copy.symbolArr.size() - 1
for x = 0 to copy.symbolArr.size() - 1
if symbolMat.get(0, i).symbolData == copy.dataArr.get(x)
copy.symbolArr.set(x, symbolMat.get(1, i).symbol)
right := chart.right_visible_bar_time, left = chart.left_visible_bar_time,
mid := timeArray.indexof(left) - timeArray.indexof(right)
newLeft =
math.round(
math.min(
timeArray.indexof(left) - (mid * .06),
timeArray.size() - 1))
newRight =
math.round(
math.max(
timeArray.indexof(right) + (mid * .06), 0))
mid2 =
math.round(
math.avg(timeArray.indexof(newLeft),
timeArray.indexof( newRight))),
scatterShapes.set(6, 0,
values.new(
colmn = box.new(
timeArray.get(newLeft),
max,
timeArray.get(newRight),
min,
bgcolor = boxnobg and usebg ? cbg : na,
border_color = boxnobg ? color.white : na,
xloc = xloc.bar_time
)))
pieShapes.set(0, 0, values.new(l = timeArray.get(newLeft))), pieShapes.set(1, 0, values.new(top = max))
pieShapes.set(2, 0, values.new(r = timeArray.get(newRight))), pieShapes.set(3, 0, values.new(bot = min))
adcalc = (pieShapes.get(1, 0).top - pieShapes.get(3, 0).bot) / 20
nCalc = copy.dataArr.range() / 20, xz = -1, n = 0.0
if colCond
n := switch revScale
false => copy.dataArr.min()
=> copy.dataArr.max()
else
n := copy.dataArr.min()
strFix = switch revScale
true => copy.dataArr.max() < 0 ? "0" : str.tostring(copy.dataArr.max() + nCalc, "###,###.##")
false => copy.dataArr.min() > 0 ? "0" : str.tostring(copy.dataArr.min() - nCalc, "###,###.##")
scatterShapes.set(1, 0,
values.new(
symbolLabel = label.new(
pieShapes.get(2, 0).r,
pieShapes.get(3, 0).bot - adcalc,
text = strFix,
color = #ffffff00,
style = label.style_label_left,
textcolor = dncol,
xloc = xloc.bar_time,
size = size.small
)))
for x = 0 to 39
pos = str.pos(copy.symbolArr.get(x), ":"), sub = str.substring(copy.symbolArr.get(x), pos + 1), calcY = 0.0
if colCond
calcY := switch revScale
false => (min) + ((max) - (min)) * (copy.dataArr.get(x) - copy.dataArr.min()) / (copy.dataArr.range())
true => (max) - ((max) - (min)) * (copy.dataArr.get(x) - copy.dataArr.min()) / (copy.dataArr.range())
else
calcY := (min) + ((max) - (min)) * (copy.dataArr.get(x) - copy.dataArr.min()) / copy.dataArr.range()
yax = switch x != xz
true and calcY < pieShapes.get(3, 0).bot => pieShapes.get(3, 0).bot
true and calcY > pieShapes.get(1, 0).top => pieShapes.get(1, 0).top
=> calcY
scatterShapes.set(0, x, values.new(symbolLabel =
label.new(
timeArray.get(newRight + ((mid/48) * (x + 1))),
yax,
xloc = xloc.bar_time,
textcolor = color.white,
color = #ffffff00 ,
style = label.style_label_center,
text = sub +"\n⦿", size = size.small,
tooltip = str.tostring(copy.dataArr.get(x), "###,###,###.00")
)))
if x <= 19
loopdn = kai.hsv_gradient(x, 0, 10, dncol, midCol)
loopup = kai.hsv_gradient(x, 11, 19, midCol, upcol), xTrack = -1
col = switch xTrack != x
true and x <= 10 => loopdn
=> loopup
scatterShapes.set(1, x + 1, values.new(symbolLabel =
label.new(
pieShapes.get(2, 0).r,
pieShapes.get(3, 0).bot + (adcalc * x),
text = str.tostring(n, "###,###.##" ) ,
color = #ffffff00,
style = label.style_label_left,
textcolor = col,
xloc = xloc.bar_time,
size = size.small
)))
if colCond
switch revScale
false => n += nCalc
=> n -= nCalc
else
n += nCalc
cArray.push(values.new(symbolColor = col))
scatterShapes.set(1, 21, values.new(symbolLabel =
label.new(
pieShapes.get(2, 0).r,
pieShapes.get(1, 0).top ,
text = str.tostring(colCond ? revScale == false ? copy.dataArr.max() : copy.dataArr.min() : copy.dataArr.max(), "###,###.##"),
color = #ffffff00,
style = label.style_label_left,
textcolor = upcol,
xloc = xloc.bar_time,
size = size.small
)))
pieShapes.set(1, 0, values.new(top = pieShapes.get(1, 0).top + adcalc)), scatterShapes.get(6, 0).colmn.set_top(pieShapes.get(1, 0).top)
strFix2 = switch revScale
false => copy.dataArr.max() < 0 ? "0" : str.tostring(copy.dataArr.max() + nCalc, "###,###.##")
true => copy.dataArr.min() > 0 ? "0" : str.tostring(copy.dataArr.min() - nCalc, "###,###.##")
scatterShapes.set(1, 22,
values.new(
symbolLabel = label.new(
pieShapes.get(2, 0).r,
pieShapes.get(1, 0).top,
text = strFix2,
color = #ffffff00,
style = label.style_label_left,
textcolor = upcol,
xloc = xloc.bar_time,
size = size.small
)))
for i = 0 to 1
cArray.push(values.new(symbolColor = upcol))
pieShapes.set(3, 0, values.new(bot = pieShapes.get(3, 0).bot - adcalc)), scatterShapes.get(6, 0).colmn.set_bottom(pieShapes.get(3, 0).bot), minLab = math.round(20e20)
if boxnobg == false
for i = 0 to 39
minLab := math.min(minLab, scatterShapes.get(0, i).symbolLabel.get_x())
for i = 0 to 1
[x1, y1, x2, y2] = switch i != -1
true and i == 0 => [minLab, pieShapes.get(3, 0).bot, timeArray.get(newRight), pieShapes.get(3, 0).bot ]
=> [timeArray.get(newRight), pieShapes.get(3, 0).bot, timeArray.get(newRight), pieShapes.get(1, 0).top]
scatterShapes.set(2, i, values.new(shapeLines =
line.new(x1, y1, x2, y2,
xloc = xloc.bar_time,
color = color.white
)))
cArray.unshift(values.new(symbolColor = dncol)), sortedy = array.new_float()
for i = 0 to 22
sortedy.push(scatterShapes.get(1, i).symbolLabel.get_y())
sortedy.sort(order.descending), cArray.reverse(), copyColor = array.new_int()
for i = 0 to 39
for x = 1 to 22
if scatterShapes.get(0, i).symbolLabel.get_y() >= sortedy.get(x)
if scatterShapes.get(0, i).symbolLabel.get_y() <= sortedy.get(x - 1)
scatterShapes.get(0, i).symbolLabel.set_textcolor(cArray.get(x).symbolColor), copyColor.push(x)
pos = str.pos (copy.symbolArr.get(i), ":")
sub = str.substring(copy.symbolArr.get(i), pos + 1)
scatterShapes.set(3, i,
values.new(
symbolLabel = label.new(
scatterShapes.get(0, i).symbolLabel.get_x(),
pieShapes.get(3, 0).bot,
style = label.style_label_up,
textcolor = color.white,
color = #ffffff00,
text = "╷\n" + sub,
xloc = xloc.bar_time,
size = size.small
)))
for i = 1 to 39
if scatterShapes.get(3, i).symbolLabel.get_x() == scatterShapes.get(3, i - 1).symbolLabel.get_x()
scatterShapes.get(3, i).symbolLabel.set_text(scatterShapes.get(3, i).symbolLabel.get_text() + "\n" + scatterShapes.get(3, i - 1).symbolLabel.get_text())
scatterShapes.get(3, i - 1).symbolLabel.delete()
if columns == "Columns" or columns == "Scatter + Columns" or columns == "Bar"
for i = 0 to 39
coordinateE = timeArray.indexof(scatterShapes.get(0, 1).symbolLabel.get_x()) - timeArray.indexof(scatterShapes.get(0, 0).symbolLabel.get_x())
[coordinateL, coordinateR] = switch columns
"Bar" => [timeArray.get(timeArray.indexof(scatterShapes.get(0, i).symbolLabel.get_x()) - math.round(coordinateE / 2)),
timeArray.get(timeArray.indexof(scatterShapes.get(0, i).symbolLabel.get_x()) + math.round(coordinateE / 2))]
=> [timeArray.get(timeArray.indexof(scatterShapes.get(0, i).symbolLabel.get_x())),
timeArray.get(timeArray.indexof(scatterShapes.get(0, i).symbolLabel.get_x()))]
scatterShapes.set(4, i,
values.new(
colmn = box.new(
coordinateL,
scatterShapes.get(0, i).symbolLabel.get_y(),
coordinateR,
pieShapes.get(3, 0).bot,
xloc = xloc.bar_time,
border_color = columns == "Bar" ? cbg : na,
border_width = columns == "Bar" ? 3 : 1,
bgcolor = na
)))
for x = 1 to sortedy.size() - 1
if scatterShapes.get(4, i).colmn.get_top() >= sortedy.get(x)
if scatterShapes.get(4, i).colmn.get_top() <= sortedy.get(x - 1)
scatterShapes.get(4, i).colmn.set_bgcolor(cArray.get(x).symbolColor)
if columns != "Bar"
scatterShapes.get(4, i).colmn.set_border_color(cArray.get(x).symbolColor)
if columns == "Columns"
scatterShapes.get(0, i).symbolLabel.delete()
if columns == "Bar"
if i == 39
if boxnobg == false
scatterShapes.get(2, 0).shapeLines.set_x1(scatterShapes.get(4, 39).colmn.get_right())
else
scatterShapes.get(6, 0).colmn.set_bottom(scatterShapes.get(6, 0).colmn.get_bottom() - adcalc)
for x = 0 to 39
scatterShapes.get(0, x).symbolLabel.delete()
add = switch per
"FQ" => " (FQ)\n" + px + "\n" + dateF
"FY" => " (FY)\n" + px + "\n" + dateF
scatterShapes.set(5, 0,
values.new(
symbolLabel = label.new(
math.round(math.avg(pieShapes.get(0, 0).l, pieShapes.get(2, 0).r)),
pieShapes.get(1, 0).top,
color = #ffffff00,
textcolor = color.white,
size = size.large,
text = searchF == false ? typeInput1 + add :
search + add, xloc = xloc.bar_time
)))
allL = label.all, allB = box.all, allLi = line.all
if columns == "Pie Chart"
if allL.size() > 0
for i = 0 to allL.size() - 1
allL.shift().delete()
if allB.size() > 0
for i = 0 to allB.size() - 1
allB.shift().delete()
if allLi.size() > 0
for i = 0 to allLi.size() - 1
allLi.shift().delete()
if mid > 20
newRight2 = math.round(math.max(timeArray.indexof( right) + (mid * .55), 0))
newLeft2 = math.round(math.max(timeArray.indexof( right) + (mid * .45), 0))
sub = timeArray.slice(newRight2, newLeft)
sub2 = timeArray.slice(newRight, newLeft2)
pc = array.new_float(), pc2 = array.new_float()
for i = 0 to 19
pc.push (copy.dataArr.get(i))
pc2.push(copy.dataArr.get(i+20))
perCumu = array.new_float(), perCumu2 = array.new_float()
for i = 0 to 19
pc.set(i, pc.get(i) + math.abs(pc.min() ))
pc2.set(i, pc2.get(i) + math.abs(pc2.min()))
for i = 0 to 19
perCumu .push(pc.get(i) / pc.sum() / 5 * 100)
perCumu2.push(pc2.get(i) / pc2.sum() / 5 * 100)
percCumu = 0.0, percCumu2 = 0.0
for i = 0 to 6
pieShapes.add_row(pieShapes.rows())
for i = 0 to 19
// thanking @rumpypumpydumpy (on every iteration of this loop) for the easy-to-work-with framework!
pieShapes.set(4, pieShapes.columns() - 1,
values.new(shapeLines =
line.new(
sub.get(math.round(math.cos(2 * math.pi / 20 * percCumu) * ((math.round((newLeft - newRight2) / 2)) - 1) +
(math.round((newLeft2 - newRight) / 2)) - 1)),
math.avg(max, min) + math.sin(2 * math.pi / 20 * percCumu) * math.avg(max, min),
sub.get(math.round(sub.size()/2) - 1),
math.avg(max,min),
xloc=xloc.bar_time, color = #000000, width = 2
)))
percCumu += perCumu.get(i)
pieShapes.set(5, pieShapes.columns() - 1,
values.new(shapeLines =
line.new(
sub2.get(math.round(math.cos(2 * math.pi / 20 * percCumu2) * ((math.round((newLeft2 - newRight) / 2)) - 1)
+ (math.round((newLeft2 - newRight) / 2)) - 1)),
math.avg(max, min) + math.sin(2 * math.pi / 20 * percCumu2) * math.avg(max, min),
sub2.get(math.round(sub2.size()/2) - 1),
math.avg(max,min),
xloc=xloc.bar_time, color = #000000, width = 2
)))
percCumu2 += perCumu2.get(i)
pieShapes.add_col(pieShapes.columns())
for i = 4 to 5
[initialSet, plus] = switch i != -1
true and i == 4 => [6, 0 ]
=> [8, 20]
pieShapes.set(initialSet, 0,
values.new(
symbolLabel = label.new(
math.round(math.avg(pieShapes.get(i, 0).shapeLines.get_x1(), pieShapes.get(i, pieShapes.columns() - 2).shapeLines.get_x1())),
math.avg(pieShapes.get(i, 0).shapeLines.get_y1(), pieShapes.get(i, pieShapes.columns() - 2).shapeLines.get_y1()),
text = copy.symbolArr.get(pieShapes.columns() - 2 + plus)
+ "\n" + str.tostring(copy.dataArr.get(pieShapes.columns()-2 + plus)),
color = color.new(cArray.get(copyColor.get(pieShapes.columns() - 2 + plus)).symbolColor, 50),
xloc = xloc.bar_time,
style = label.style_label_center,
textcolor = color.white,
size = size.small
)))
for i = 1 to pieShapes.columns() - 1
if not na(pieShapes.get(4, i))
if perCumu.variance() < 1
pieShapes.set(6, i,
values.new(
shapeLinesFill=linefill.new(
pieShapes.get(4, i).shapeLines,
pieShapes.get(4, i - 1).shapeLines,
color.new(cArray.get(copyColor.get(i - 1)).symbolColor, 33
))))
if i == 1
pieShapes.set(6, 0,
values.new(
shapeLinesFill = linefill.new(
pieShapes.get(4, 0).shapeLines,
pieShapes.get(4, pieShapes.columns() - 2).shapeLines,
color.new(cArray.get(copyColor.get(pieShapes.columns()-2)).symbolColor, 33
))))
else
pieShapes.get(4, i - 1).shapeLines.set_color(color.white)
pieShapes.get(4, i - 1).shapeLines.set_style(line.style_dotted)
pieShapes.set(7, i, values.new(symbolLabel=label.new(
math.round(math.avg(line.get_x1(pieShapes.get(4, i).shapeLines), line.get_x1(pieShapes.get(4, i - 1).shapeLines))),
math.avg(line.get_y1(
pieShapes.get(4, i).shapeLines), line.get_y1(pieShapes.get(4, i - 1).shapeLines)),
text = copy.symbolArr.get(i - 1) + "\n" + str.tostring(copy.dataArr.get(i - 1)),
color = color.new(cArray.get(copyColor.get(i - 1)).symbolColor, 50),
xloc = xloc.bar_time,
style = label.style_label_center,
textcolor = color.white,
size = size.small
)))
if not na(pieShapes.get(5, i))
if perCumu2.variance() < 1
pieShapes.set(8, i,
values.new(
shapeLinesFill=linefill.new(
pieShapes.get(5, i).shapeLines,
pieShapes.get(5, i - 1).shapeLines,
color.new(cArray.get(copyColor.get(i + 20 - (i == pieShapes.columns() - 1 ? 1 : 0))).symbolColor,
33
))))
if i == 1
pieShapes.set(8, 0,
values.new(
shapeLinesFill =
linefill.new(pieShapes.get(5, 0).shapeLines,
pieShapes.get(5, pieShapes.columns() - 2).shapeLines,
color.new(cArray.get(copyColor.get(20)).symbolColor,
33
))))
else
pieShapes.get(5, i - 1).shapeLines.set_color(color.white)
pieShapes.get(5, i - 1).shapeLines.set_style(line.style_dotted)
pieShapes.set(9, i,
values.new(
symbolLabel=label.new(
math.round(math.avg(line.get_x1(pieShapes.get(5, i).shapeLines), line.get_x1(pieShapes.get(5, i - 1).shapeLines))),
math.avg(line.get_y1(pieShapes.get(5, i).shapeLines), line.get_y1(pieShapes.get(5, i - 1).shapeLines)),
text = copy.symbolArr.get(20 + i - 1) + "\n" + str.tostring(copy.dataArr.get(20 + i - 1)),
color =
color.new(cArray.get(copyColor.get(i + 20 - (i == pieShapes.columns() - 1 ? 1 : 0))).symbolColor, 50),
xloc = xloc.bar_time,
style = label.style_label_center,
textcolor = color.white,
size = size.small
)))
maxLine = 0.
for i = 0 to pieShapes.columns() - 1
if not na(pieShapes.get(4, i)) and not na(pieShapes.get(5, i))
maxLine := math.max(
maxLine,
line.get_y1(pieShapes.get(4, i).shapeLines),
line.get_y1(pieShapes.get(5, i).shapeLines
))
pieShapes.add_row(pieShapes.rows()), pieShapes.set(11, 0,
values.new(
symbolLabel = label.new(
math.round(math.avg(timeArray.get( newRight2), timeArray.get( newLeft2))),
maxLine,
color = #ffffff00,
textcolor = color.white,
size = size.large,
text =searchF == false ? typeInput1 + add: search + add, xloc = xloc.bar_time
)))
else
label.new(
math.round(math.avg(chart.left_visible_bar_time, chart.right_visible_bar_time)),
math.avg(max, min), color = #ffffff00,
xloc = xloc.bar_time, size = size.huge, text = "🥧"
)
if columns == "Drop Down"
iTrack = -1, gm = gemMat
if allL.size() > 0
for i = 0 to allL.size() - 1
allL.shift().delete()
if allB.size() > 0
for i = 0 to allB.size() - 1
allB.shift().delete()
if allLi.size() > 0
for i = 0 to allLi.size() - 1
allLi.shift().delete()
aId1 = array.from(.80, .84, .80, .76, .86, .82, .78, .74, .88, .72)
aId2 = array.from(.80, .84, .80, .76, .86, .82, .78, .74, .88, .72)
aId3 = array.from(.0, .0 , .0, .0, .10, .10, .10, .10, .20, .20)
aId4 = array.from(.0, .10 , .10, .10, .20, .20, .20, .20, .30, .30)
for i = 0 to 39
gm.set(0, i, dropDown.new(data = copy.dataArr.get(i )))
gm.set(1, i, dropDown.new(symbol = copy.symbolArr.get(i)))
if i <= 9
gm.set(2, i, dropDown.new(coordinate = aId1.get(i)))
gm.set(3, i, dropDown.new(coordinate = aId2.get(i)))
gm.set(4, i, dropDown.new(coordinate = aId3.get(i)))
gm.set(5, i, dropDown.new(coordinate = aId4.get(i)))
base = array.new_line(), basel = array.new_label(), xT = -1
for x = 0 to 3
for i = 0 to 9
if x >= 1
plus = switch x != xT
true and x == 1 => 10
true and x == 2 => 20
true and x == 3 => 30
gm.set(2, i+plus, dropDown.new(coordinate = gm.get(2 , i ) .coordinate - (.20 * x)))
gm.set(3, i+plus, dropDown.new(coordinate = gm.get(3 , i ) .coordinate - (.20 * x)))
gm.set(4, i+plus, dropDown.new(coordinate = gm.get(4, i) .coordinate))
gm.set(5, i+plus, dropDown.new(coordinate = gm.get(5, i) .coordinate))
if i == 0
gm.set(6, x, dropDown.new(coordinate = .86 - (.20 * x))), gm.set(7, x, dropDown.new(coordinate = .74 - (.20 * x)))
gm.set(8, x, dropDown.new(coordinate = .72 - (.20 * x))), gm.set(9, x, dropDown.new(coordinate = .88 - (.20 * x)))
for i = 0 to gm.columns() - 1
xm = cArray, xb = copyColor
fc = revScale == false ? reverse == false ? downcolor : upcolor : reverse == false ? upcolor : downcolor
basel.push(
label.new(
x = int(x(gm.get(3, i).coordinate, 0)),
y = b (gm.get(5, i).coordinate ),
text = gm.get(1, i).symbol + "\n" + str.tostring(gm.get(0, i).data),
size = size.small,
xloc = xloc.bar_time,
style = label.style_label_center,
textcolor = color.white,
color = color.new(i == gm.columns() - 1 ? fc : xm.get(xb.get(i)).symbolColor, 60)
))
base.push(
line.new(
int(x(gm.get(2, i).coordinate, 0)), b(gm.get(4, i).coordinate),
int(x(gm.get(3, i).coordinate, 0)), b(gm.get(5, i).coordinate),
xloc = xloc.bar_time, color = #ffffff
))
if i <= 3
base.push(
line.new(
int(x(gm.get(6, i).coordinate, 0)), b(.10),
int(x(gm.get(7, i).coordinate, 0)), b(.10),
xloc = xloc.bar_time, color = color.white
))
base.push(
line.new(
int(x(gm.get(8, i).coordinate, 0)), b(.20),
int(x(gm.get(9, i).coordinate, 0)), b(.20),
xloc = xloc.bar_time, color = color.white
))
base.push(
line.new(
int(x(.84, 0)), b(.0), int(x(.16, 0)), b(.0),
xloc = xloc.bar_time, color = color.white
))
bgcolor(usebg and boxnobg == false ? cbg : na)
Overview
Fundamentals Graphing [Kioseff Trading] queries financial statements including income statement and balance sheet data such as basic EPS, revenue, EBIT, and debt metrics on quarterly or annual bases. Users can choose presets, customize plot styles between scatter and column graphs, adjust lookback intervals, sort values, and filter metrics using an integrated search function.
- Multi-symbol fundamental financial comparison
- Comprehensive income statement and balance sheet metric selection
- Configurable scatter and column chart plotting modes
- Data sorting and custom search filtering
Details
Published by
regalouisei on GitHub
Code credit
KioseffTrading, as written in the script's header
Type
Indicator, Pine Script v5
Draws
Separate pane below the chart
Category
Screeners & dashboards
Markets
Stocks
Timeframes
H4 and above
Risk Notes
No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| Data | string | F010 | typeInput1 |
| Preset | string | Technology Services | px |
| Period | string | Fiscal Quarter | period |
| Intervals Back | int | 0 | intervalsback |
| Reverse Colors | bool | false | reverse |
| Reverse Scale | bool | false | revScale |
| Plot Type | string | Scatter + Columns | columns |
| Sort Data | string | None | sort |
| Move Data to Box | bool | false | boxnobg |
| Use Search Function | bool | false | searchF |
| Search Function | string | | search |
| Up Color | color | color.lime | upcolor |
Show all 40 settings
| Setting | Type | Default | Variable |
|---|---|---|---|
| Down Color | color | color.red | downcolor |
| Median Color | color | color.white | midCol |
| Use Background Color | bool | true | usebg |
| Background Color | color | #000000 | cbg |
| Symbol 1 | symbol | MSFT | Symbol 1 |
| Symbol 2 | symbol | AAPL | Symbol 2 |
| Symbol 3 | symbol | NVDA | Symbol 3 |
| Symbol 4 | symbol | V | Symbol 4 |
| Symbol 5 | symbol | MA | Symbol 5 |
| Symbol 6 | symbol | META | Symbol 6 |
| Symbol 7 | symbol | SBUX | Symbol 7 |
| Symbol 8 | symbol | JNJ | Symbol 8 |
| Symbol 9 | symbol | T | Symbol 9 |
| Symbol 10 | symbol | HD | Symbol 10 |
| Symbol 11 | symbol | Z | Symbol 11 |
| Symbol 12 | symbol | AMZN | Symbol 12 |
| Symbol 13 | symbol | TSLA | Symbol 13 |
| Symbol 14 | symbol | AMD | Symbol 14 |
| Symbol 15 | symbol | GOOG | Symbol 15 |
| Symbol 16 | symbol | NIO | Symbol 16 |
| Symbol 17 | symbol | BABA | Symbol 17 |
| Symbol 18 | symbol | IBM | Symbol 18 |
| Symbol 19 | symbol | AFRM | Symbol 19 |
| Symbol 20 | symbol | ABNB | Symbol 20 |
| Symbol 21 | symbol | MSFT | Symbol 21 |
| Symbol 22 | symbol | AAPL | Symbol 22 |
| Symbol 23 | symbol | NVDA | Symbol 23 |
| Symbol 24 | symbol | V | Symbol 24 |
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
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