Visualizing Nifty 50 Market Capitalization using Plotly Treemap β Python Tutorial #python #visualization
https://www.marketcalls.in/python/visualizing-nifty-50-market-capitalization-using-plotly-treemap-python-tutorial.html
https://www.marketcalls.in/python/visualizing-nifty-50-market-capitalization-using-plotly-treemap-python-tutorial.html
Marketcalls
Visualizing Nifty 50 Market Capitalization using Plotly Treemap - Python Tutorial
Treemap is a powerful visualization tool that portrays hierarchical data via nested rectangles. In the context of the stock market, each rectangle represents a stock entity, and its size reflects a quantitative variable, such as market capitalization. Thisβ¦
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Visualizing the Market Strength Using a Gauge Chart: Python Tutorial #python #Datavisualization #GuageChart
https://www.marketcalls.in/python/visualizing-the-market-strength-using-a-gauge-chart-python-tutorial.html
https://www.marketcalls.in/python/visualizing-the-market-strength-using-a-gauge-chart-python-tutorial.html
Marketcalls
Visualizing the Market Strength Using a Gauge Chart: Python Tutorial
In this tutorial, we'll explore how to visualize the RSI using a gauge chart in Python, leveraging the capabilities of the Plotly library, "Guage Chart" visually represents a single value within a given scale, resembling the dashboard gauge of a car. In theβ¦
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Access the Sample VectorBT Streamlit App here in Streamlit Cloud
https://vectorbt.streamlit.app
Streamlit VectorBT Backtesting App code posted to github
https://github.com/marketcalls/vectorbt-streamlit
#streamlit #python
https://vectorbt.streamlit.app
Streamlit VectorBT Backtesting App code posted to github
https://github.com/marketcalls/vectorbt-streamlit
#streamlit #python
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VectorBT Streamlit Backtesting App β Python Tutorial
https://www.marketcalls.in/python/vectorbt-streamlit-backtesting-app-python-tutorial.html
#python #streamlit #vectorBT
https://www.marketcalls.in/python/vectorbt-streamlit-backtesting-app-python-tutorial.html
#python #streamlit #vectorBT
Marketcalls
VectorBT Streamlit Backtesting App - Python Tutorial
This Streamlit application is designed for backtesting trading strategies using the VectorBT library in Python. It provides a user-friendly interface to input various parameters for the trading strategy, such as symbols, dates, EMA periods, and more. Usersβ¦
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Building a Digital Assistant in Slack with Google Gemini: A Step-by-Step Guide #python #SlackBot #GoogleCloud #ngrok #googlegemini
https://www.marketcalls.in/python/building-a-digital-assistant-in-slack-with-google-gemini-a-step-by-step-guide.html
https://www.marketcalls.in/python/building-a-digital-assistant-in-slack-with-google-gemini-a-step-by-step-guide.html
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UI Design of OpenAlgo
What I am working on
- Amibroker Strategy Module Creation
- Tradingview Strategy Module Creation
- API Log Management
- Tutorials
#OpenAlgo #OpenSource #Python #Sqlite #Flask
What I am working on
- Amibroker Strategy Module Creation
- Tradingview Strategy Module Creation
- API Log Management
- Tutorials
#OpenAlgo #OpenSource #Python #Sqlite #Flask
β€4
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Created this random stock price animation using Claude Sonnet and ChatGPT4 using manim which I had never heard in my life
took 30 minutes approx to figure this out.
#Python #manim #claude #chatGPT4
took 30 minutes approx to figure this out.
#Python #manim #claude #chatGPT4
π2π1
[Live Coding Webinar] Build Your First Trading Bridge for Amibroker Using Python
#Amibroker #Python #Flask #TradingBridge
https://learn.marketcalls.in/courses/Build-Your-First-Trading-Bridge-for-Amibroker-Using-Python-65f80c18a89d6f7b476161dd-65f80c18a89d6f7b476161dd
#Amibroker #Python #Flask #TradingBridge
https://learn.marketcalls.in/courses/Build-Your-First-Trading-Bridge-for-Amibroker-Using-Python-65f80c18a89d6f7b476161dd-65f80c18a89d6f7b476161dd
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15+ hours of Live Learning on How to Integrate your Broker with OpenAlgo - Live Python Coding & Conversation Between Shiva & Rajandran
Learn from Scratch How we integrated OpenAlgo with Kotak Neo Platform
#Python #Flask
https://learn.marketcalls.in/courses/-OpenAlgo-Developer-Meet---2024-Edition-65fd4c74a2a47848adb27c40-65fd4c74a2a47848adb27c40
Learn from Scratch How we integrated OpenAlgo with Kotak Neo Platform
#Python #Flask
https://learn.marketcalls.in/courses/-OpenAlgo-Developer-Meet---2024-Edition-65fd4c74a2a47848adb27c40-65fd4c74a2a47848adb27c40
π1
Over the past few months, Iβve had the privilege of launching a series of open-source projects built using Python, Claude Sonnet 3.5, and ChatGPT models. Whether youβre a trader, data scientist, AI enthusiast, or just someone passionate about Python, thereβs something here for you!
π Check out the projects that span across trading platforms, AI-powered bots, data analytics, and more:
1οΈβ£ OpenAlgo: Open-source trading platform using Python & Flask
π https://github.com/marketcalls/openalgo
2οΈβ£ OpenAlgo Python API Wrapper Library
π https://github.com/marketcalls/openalgo-python-library
3οΈβ£ OpenAlgo Node API Wrapper Library
π https://github.com/marketcalls/openalgo-node
4οΈβ£ OpenTerminal: Python-based trading terminal with Redis integration
π https://github.com/marketcalls/OpenTerminal
5οΈβ£ OpenChart: Historical stock market intraday and EOD data library
π https://github.com/marketcalls/openchart
6οΈβ£ Voice-Based Order: AI-driven voice trading system
π https://github.com/marketcalls/openalgo-voice-based-orders
7οΈβ£ SketchMaker: AI image generation from prompts using Flux models
π https://github.com/marketcalls/sketchmaker
8οΈβ£ GPT Slack Bot: GPT-powered Slack bot with web search capabilities using Tavily API
π https://github.com/marketcalls/gpt-slack-bot
9οΈβ£ Fast Scalper: Rust-based mini desktop application
π https://github.com/marketcalls/fastscalper-tauri
π Google Gemini Slack Bot
π https://github.com/marketcalls/google-gemini-slackbot
1οΈβ£1οΈβ£ Model Replicator: Replicate models posture using ControlNet
π https://github.com/marketcalls/model-replicator
1οΈβ£2οΈβ£ GPT Clone: LangChain app with conversational memory
π https://github.com/marketcalls/gptclone
1οΈβ£3οΈβ£ Storing Stock Market Tick Data using Python and ClickHouse
π https://github.com/marketcalls/websocket-stockmarket-clickhouse
1οΈβ£4οΈβ£ OpenAdvisor: Self-hostable ML-based stock recommendation platform
π https://github.com/marketcalls/openadvisor
1οΈβ£5οΈβ£ TradingView Lightweight Chart with Candlestick Data fetched from Yahoo Finance
π https://github.com/marketcalls/tradingview-yahoo-finance
1οΈβ£6οΈβ£ Nifty 50 - Highcharts Heatmap
π https://github.com/marketcalls/highcharts-heatmap
1οΈβ£7οΈβ£ VectorBT - Simple Backtesting Streamlit App
π https://github.com/marketcalls/VectorBT-Streamlit
π‘ Why open-source? Itβs all about learning together, exploring new tools, and making Python development accessible to all!
π¨βπ» Letβs connect, share ideas, and code something amazing together!
#Python #OpenSource #AI #Trading #DataScience #ML #Claude #ChatGPT
π Check out the projects that span across trading platforms, AI-powered bots, data analytics, and more:
1οΈβ£ OpenAlgo: Open-source trading platform using Python & Flask
π https://github.com/marketcalls/openalgo
2οΈβ£ OpenAlgo Python API Wrapper Library
π https://github.com/marketcalls/openalgo-python-library
3οΈβ£ OpenAlgo Node API Wrapper Library
π https://github.com/marketcalls/openalgo-node
4οΈβ£ OpenTerminal: Python-based trading terminal with Redis integration
π https://github.com/marketcalls/OpenTerminal
5οΈβ£ OpenChart: Historical stock market intraday and EOD data library
π https://github.com/marketcalls/openchart
6οΈβ£ Voice-Based Order: AI-driven voice trading system
π https://github.com/marketcalls/openalgo-voice-based-orders
7οΈβ£ SketchMaker: AI image generation from prompts using Flux models
π https://github.com/marketcalls/sketchmaker
8οΈβ£ GPT Slack Bot: GPT-powered Slack bot with web search capabilities using Tavily API
π https://github.com/marketcalls/gpt-slack-bot
9οΈβ£ Fast Scalper: Rust-based mini desktop application
π https://github.com/marketcalls/fastscalper-tauri
π Google Gemini Slack Bot
π https://github.com/marketcalls/google-gemini-slackbot
1οΈβ£1οΈβ£ Model Replicator: Replicate models posture using ControlNet
π https://github.com/marketcalls/model-replicator
1οΈβ£2οΈβ£ GPT Clone: LangChain app with conversational memory
π https://github.com/marketcalls/gptclone
1οΈβ£3οΈβ£ Storing Stock Market Tick Data using Python and ClickHouse
π https://github.com/marketcalls/websocket-stockmarket-clickhouse
1οΈβ£4οΈβ£ OpenAdvisor: Self-hostable ML-based stock recommendation platform
π https://github.com/marketcalls/openadvisor
1οΈβ£5οΈβ£ TradingView Lightweight Chart with Candlestick Data fetched from Yahoo Finance
π https://github.com/marketcalls/tradingview-yahoo-finance
1οΈβ£6οΈβ£ Nifty 50 - Highcharts Heatmap
π https://github.com/marketcalls/highcharts-heatmap
1οΈβ£7οΈβ£ VectorBT - Simple Backtesting Streamlit App
π https://github.com/marketcalls/VectorBT-Streamlit
π‘ Why open-source? Itβs all about learning together, exploring new tools, and making Python development accessible to all!
π¨βπ» Letβs connect, share ideas, and code something amazing together!
#Python #OpenSource #AI #Trading #DataScience #ML #Claude #ChatGPT
GitHub
GitHub - marketcalls/openalgo: Open Source Algo Trading Platform for Everyone
Open Source Algo Trading Platform for Everyone. Contribute to marketcalls/openalgo development by creating an account on GitHub.
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π Welcome to the OpenAlgo Mini FOSS Universe!
Explore the open-source ecosystem around OpenAlgo β built for traders, by traders. Whether you're into Python, Node.js, Excel, Rust, or the Web β there's something here for every kind of automation enthusiast.
π GitHub Repositories:
π§ OpenAlgo Core
https://github.com/marketcalls/openalgo
π Python Library
https://github.com/marketcalls/openalgo-python-library
π’ Node.js Library
https://github.com/marketcalls/openalgo-node
π Excel Add-in
https://github.com/marketcalls/OpenAlgo-Excel
π§© Chrome Plugin
https://github.com/marketcalls/openalgo-chrome
β‘οΈ Fast Scalper (Rust + Tauri)
https://github.com/marketcalls/fastscalper-tauri
π Web Portal
https://github.com/marketcalls/openalgo-webpage
π Dive in, fork it, build with it. Letβs make algo trading more accessible, powerful, and open for everyone.
#OpenAlgo #FOSS #AlgoTrading #Python #NodeJS #Rust #ExcelAddin #ChromeExtension #OpenSource #TradingTools #Fintech #Developers
Explore the open-source ecosystem around OpenAlgo β built for traders, by traders. Whether you're into Python, Node.js, Excel, Rust, or the Web β there's something here for every kind of automation enthusiast.
π GitHub Repositories:
π§ OpenAlgo Core
https://github.com/marketcalls/openalgo
π Python Library
https://github.com/marketcalls/openalgo-python-library
π’ Node.js Library
https://github.com/marketcalls/openalgo-node
π Excel Add-in
https://github.com/marketcalls/OpenAlgo-Excel
π§© Chrome Plugin
https://github.com/marketcalls/openalgo-chrome
β‘οΈ Fast Scalper (Rust + Tauri)
https://github.com/marketcalls/fastscalper-tauri
π Web Portal
https://github.com/marketcalls/openalgo-webpage
π Dive in, fork it, build with it. Letβs make algo trading more accessible, powerful, and open for everyone.
#OpenAlgo #FOSS #AlgoTrading #Python #NodeJS #Rust #ExcelAddin #ChromeExtension #OpenSource #TradingTools #Fintech #Developers
GitHub
GitHub - marketcalls/openalgo: Open Source Algo Trading Platform for Everyone
Open Source Algo Trading Platform for Everyone. Contribute to marketcalls/openalgo development by creating an account on GitHub.
β€2
New to #OpenAlgo? Not sure if itβs for you? π€
π Whether you're a non-coder, technical trader, or pro algo dev β we've got something for everyone.
π Read this guide to get started:
π https://www.marketcalls.in/openalgo/who-should-use-openalgo.html
#AlgoTrading #TradingBots #StockMarketIndia #Python
π Whether you're a non-coder, technical trader, or pro algo dev β we've got something for everyone.
π Read this guide to get started:
π https://www.marketcalls.in/openalgo/who-should-use-openalgo.html
#AlgoTrading #TradingBots #StockMarketIndia #Python
Marketcalls
Who Should Use OpenAlgo?
Whether you're a newbie just stepping into the world of trading or a seasoned algo developer, OpenAlgo offers something powerful for you. But hereβs the question everyone keeps asking:
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