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Financial Dashboard for Dividend Stocks

This is a Python web app built with Solara where you can analyze dividend stocks.

Setup

First clone the repository:

git clone git@github.com:FerusAndBeyond/python-dividend-dashboard.git

and then cd into it

cd python-dividend-dashboard

Environment variables

Run init.sh:

sh init.sh

This will create a .env file for configuration variables such as the needed API keys. The following APIs are used:

Financial Modeling Prep

Financial Modeling Prep (FMP) is a financial data API containing various data for fundamental analysis. You can sign up for free to obtain 250 API requests per day. Alternatively, for a premium version with more requests and additional features, you can sign up for a paid version. You can support me by using my affiliate link while also getting 15% off here.

More info about FMP here.

OpenAI API

OpenAI, the company that created ChatGPT, has an API that you can use to analyze and generate text using AI. More info here.


Add the two API keys to the .env file for variables FMP_API_KEY and OPENAI_API_KEY.

Run

There are two options, run in docker or outside of docker. To run in docker, you need to first have docker installed. Then, simply call:

Docker
sh run_docker.sh

Then open http://localhost:5000/.

To shut it down, use sh down.sh.

Outside of Docker

To run outside of Docker, first install the dependencies:

pip install -r build/requirements.txt

Then run the app:

sh run.sh

and open http://localhost:8765/.

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Financial Dividend Investing Dashboard Build in Python with Solara

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
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function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
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btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
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try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - FerusAndBeyond/python-dividend-dashboard: Financial Dividend Investing Dashboard Build in Python with Solara · GitHub
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Financial Dashboard for Dividend Stocks

This is a Python web app built with Solara where you can analyze dividend stocks.

Setup

First clone the repository:

git clone git@github.com:FerusAndBeyond/python-dividend-dashboard.git

and then cd into it

cd python-dividend-dashboard

Environment variables

Run init.sh:

sh init.sh

This will create a .env file for configuration variables such as the needed API keys. The following APIs are used:

Financial Modeling Prep

Financial Modeling Prep (FMP) is a financial data API containing various data for fundamental analysis. You can sign up for free to obtain 250 API requests per day. Alternatively, for a premium version with more requests and additional features, you can sign up for a paid version. You can support me by using my affiliate link while also getting 15% off here.

More info about FMP here.

OpenAI API

OpenAI, the company that created ChatGPT, has an API that you can use to analyze and generate text using AI. More info here.


Add the two API keys to the .env file for variables FMP_API_KEY and OPENAI_API_KEY.

Run

There are two options, run in docker or outside of docker. To run in docker, you need to first have docker installed. Then, simply call:

Docker
sh run_docker.sh

Then open http://localhost:5000/.

To shut it down, use sh down.sh.

Outside of Docker

To run outside of Docker, first install the dependencies:

pip install -r build/requirements.txt

Then run the app:

sh run.sh

and open http://localhost:8765/.

About

Financial Dividend Investing Dashboard Build in Python with Solara

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1 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - FerusAndBeyond/python-dividend-dashboard: Financial Dividend Investing Dashboard Build in Python with Solara · GitHub
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Financial Dashboard for Dividend Stocks

This is a Python web app built with Solara where you can analyze dividend stocks.

Setup

First clone the repository:

git clone git@github.com:FerusAndBeyond/python-dividend-dashboard.git

and then cd into it

cd python-dividend-dashboard

Environment variables

Run init.sh:

sh init.sh

This will create a .env file for configuration variables such as the needed API keys. The following APIs are used:

Financial Modeling Prep

Financial Modeling Prep (FMP) is a financial data API containing various data for fundamental analysis. You can sign up for free to obtain 250 API requests per day. Alternatively, for a premium version with more requests and additional features, you can sign up for a paid version. You can support me by using my affiliate link while also getting 15% off here.

More info about FMP here.

OpenAI API

OpenAI, the company that created ChatGPT, has an API that you can use to analyze and generate text using AI. More info here.


Add the two API keys to the .env file for variables FMP_API_KEY and OPENAI_API_KEY.

Run

There are two options, run in docker or outside of docker. To run in docker, you need to first have docker installed. Then, simply call:

Docker
sh run_docker.sh

Then open http://localhost:5000/.

To shut it down, use sh down.sh.

Outside of Docker

To run outside of Docker, first install the dependencies:

pip install -r build/requirements.txt

Then run the app:

sh run.sh

and open http://localhost:8765/.

About

Financial Dividend Investing Dashboard Build in Python with Solara

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Resources

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18 stars

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1 watching

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Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - FerusAndBeyond/python-dividend-dashboard: Financial Dividend Investing Dashboard Build in Python with Solara · GitHub
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Financial Dashboard for Dividend Stocks

This is a Python web app built with Solara where you can analyze dividend stocks.

Setup

First clone the repository:

git clone git@github.com:FerusAndBeyond/python-dividend-dashboard.git

and then cd into it

cd python-dividend-dashboard

Environment variables

Run init.sh:

sh init.sh

This will create a .env file for configuration variables such as the needed API keys. The following APIs are used:

Financial Modeling Prep

Financial Modeling Prep (FMP) is a financial data API containing various data for fundamental analysis. You can sign up for free to obtain 250 API requests per day. Alternatively, for a premium version with more requests and additional features, you can sign up for a paid version. You can support me by using my affiliate link while also getting 15% off here.

More info about FMP here.

OpenAI API

OpenAI, the company that created ChatGPT, has an API that you can use to analyze and generate text using AI. More info here.


Add the two API keys to the .env file for variables FMP_API_KEY and OPENAI_API_KEY.

Run

There are two options, run in docker or outside of docker. To run in docker, you need to first have docker installed. Then, simply call:

Docker
sh run_docker.sh

Then open http://localhost:5000/.

To shut it down, use sh down.sh.

Outside of Docker

To run outside of Docker, first install the dependencies:

pip install -r build/requirements.txt

Then run the app:

sh run.sh

and open http://localhost:8765/.

About

Financial Dividend Investing Dashboard Build in Python with Solara

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18 stars

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1 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' GitHub - FerusAndBeyond/python-dividend-dashboard: Financial Dividend Investing Dashboard Build in Python with Solara · GitHub
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Financial Dashboard for Dividend Stocks

This is a Python web app built with Solara where you can analyze dividend stocks.

Setup

First clone the repository:

git clone git@github.com:FerusAndBeyond/python-dividend-dashboard.git

and then cd into it

cd python-dividend-dashboard

Environment variables

Run init.sh:

sh init.sh

This will create a .env file for configuration variables such as the needed API keys. The following APIs are used:

Financial Modeling Prep

Financial Modeling Prep (FMP) is a financial data API containing various data for fundamental analysis. You can sign up for free to obtain 250 API requests per day. Alternatively, for a premium version with more requests and additional features, you can sign up for a paid version. You can support me by using my affiliate link while also getting 15% off here.

More info about FMP here.

OpenAI API

OpenAI, the company that created ChatGPT, has an API that you can use to analyze and generate text using AI. More info here.


Add the two API keys to the .env file for variables FMP_API_KEY and OPENAI_API_KEY.

Run

There are two options, run in docker or outside of docker. To run in docker, you need to first have docker installed. Then, simply call:

Docker
sh run_docker.sh

Then open http://localhost:5000/.

To shut it down, use sh down.sh.

Outside of Docker

To run outside of Docker, first install the dependencies:

pip install -r build/requirements.txt

Then run the app:

sh run.sh

and open http://localhost:8765/.

About

Financial Dividend Investing Dashboard Build in Python with Solara

Topics

Resources

Stars

18 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - FerusAndBeyond/python-dividend-dashboard: Financial Dividend Investing Dashboard Build in Python with Solara · GitHub
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Financial Dashboard for Dividend Stocks

This is a Python web app built with Solara where you can analyze dividend stocks.

Setup

First clone the repository:

git clone git@github.com:FerusAndBeyond/python-dividend-dashboard.git

and then cd into it

cd python-dividend-dashboard

Environment variables

Run init.sh:

sh init.sh

This will create a .env file for configuration variables such as the needed API keys. The following APIs are used:

Financial Modeling Prep

Financial Modeling Prep (FMP) is a financial data API containing various data for fundamental analysis. You can sign up for free to obtain 250 API requests per day. Alternatively, for a premium version with more requests and additional features, you can sign up for a paid version. You can support me by using my affiliate link while also getting 15% off here.

More info about FMP here.

OpenAI API

OpenAI, the company that created ChatGPT, has an API that you can use to analyze and generate text using AI. More info here.


Add the two API keys to the .env file for variables FMP_API_KEY and OPENAI_API_KEY.

Run

There are two options, run in docker or outside of docker. To run in docker, you need to first have docker installed. Then, simply call:

Docker
sh run_docker.sh

Then open http://localhost:5000/.

To shut it down, use sh down.sh.

Outside of Docker

To run outside of Docker, first install the dependencies:

pip install -r build/requirements.txt

Then run the app:

sh run.sh

and open http://localhost:8765/.

About

Financial Dividend Investing Dashboard Build in Python with Solara

Topics

Resources

Stars

18 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - FerusAndBeyond/python-dividend-dashboard: Financial Dividend Investing Dashboard Build in Python with Solara · GitHub
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Repository files navigation

Financial Dashboard for Dividend Stocks

This is a Python web app built with Solara where you can analyze dividend stocks.

Setup

First clone the repository:

git clone git@github.com:FerusAndBeyond/python-dividend-dashboard.git

and then cd into it

cd python-dividend-dashboard

Environment variables

Run init.sh:

sh init.sh

This will create a .env file for configuration variables such as the needed API keys. The following APIs are used:

Financial Modeling Prep

Financial Modeling Prep (FMP) is a financial data API containing various data for fundamental analysis. You can sign up for free to obtain 250 API requests per day. Alternatively, for a premium version with more requests and additional features, you can sign up for a paid version. You can support me by using my affiliate link while also getting 15% off here.

More info about FMP here.

OpenAI API

OpenAI, the company that created ChatGPT, has an API that you can use to analyze and generate text using AI. More info here.


Add the two API keys to the .env file for variables FMP_API_KEY and OPENAI_API_KEY.

Run

There are two options, run in docker or outside of docker. To run in docker, you need to first have docker installed. Then, simply call:

Docker
sh run_docker.sh

Then open http://localhost:5000/.

To shut it down, use sh down.sh.

Outside of Docker

To run outside of Docker, first install the dependencies:

pip install -r build/requirements.txt

Then run the app:

sh run.sh

and open http://localhost:8765/.

About

Financial Dividend Investing Dashboard Build in Python with Solara

Topics

Resources

Stars

18 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); GitHub - FerusAndBeyond/python-dividend-dashboard: Financial Dividend Investing Dashboard Build in Python with Solara · GitHub
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Repository files navigation

Financial Dashboard for Dividend Stocks

This is a Python web app built with Solara where you can analyze dividend stocks.

Setup

First clone the repository:

git clone git@github.com:FerusAndBeyond/python-dividend-dashboard.git

and then cd into it

cd python-dividend-dashboard

Environment variables

Run init.sh:

sh init.sh

This will create a .env file for configuration variables such as the needed API keys. The following APIs are used:

Financial Modeling Prep

Financial Modeling Prep (FMP) is a financial data API containing various data for fundamental analysis. You can sign up for free to obtain 250 API requests per day. Alternatively, for a premium version with more requests and additional features, you can sign up for a paid version. You can support me by using my affiliate link while also getting 15% off here.

More info about FMP here.

OpenAI API

OpenAI, the company that created ChatGPT, has an API that you can use to analyze and generate text using AI. More info here.


Add the two API keys to the .env file for variables FMP_API_KEY and OPENAI_API_KEY.

Run

There are two options, run in docker or outside of docker. To run in docker, you need to first have docker installed. Then, simply call:

Docker
sh run_docker.sh

Then open http://localhost:5000/.

To shut it down, use sh down.sh.

Outside of Docker

To run outside of Docker, first install the dependencies:

pip install -r build/requirements.txt

Then run the app:

sh run.sh

and open http://localhost:8765/.

About

Financial Dividend Investing Dashboard Build in Python with Solara

Topics

Resources

Stars

18 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages