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TradingView VS Scikit-learn

Compare TradingView VS Scikit-learn and see what are their differences

TradingView

The best charting tool for crypto and stocks

Rating
5.0 · 4 reviews
Alternatives Is it good?
Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, TradingView should be more popular than Scikit-learn. It has been mentioned 258 times since March 2021.

social mentions
258 vs 41
Finance popularity
100% vs 0%
alternatives listed
240+ vs 205

Base details

Website, pricing, platforms and company facts side by side.

TradingView
Scikit-learn
Website tradingview.com scikit-learn.org
Pricing
Official pricing
Open source
Company Startup from the United Kingdom · 100 - 249 employees —
Listed in
Finance Trading Stock Charts Data Analysis And Visualization Charting Tools And Libraries Cryptocurrencies Analytics +4
Data Science And Machine Learning Data Science Tools Python Tools Software Libraries +1

Features and specs

What each product offers, as listed by its team.

TradingView 6 features
Scikit-learn 5 features
  • User-friendly Interface
    TradingView offers a clean and intuitive interface that is easy for both beginners and experienced traders to navigate.
  • Comprehensive Charting Tools
    The platform provides a wide range of charting tools, including indicators, drawing tools, and customizable chart types to conduct in-depth technical analysis.
  • Cloud-based Platform
    Being cloud-based, TradingView allows users to access their charts and settings from any device with internet access, ensuring flexibility and convenience.
  • Social Community
    TradingView has a strong community aspect where users can share ideas, analysis, and strategies, fostering a collaborative environment.
  • Data Coverage
    The platform supports data from a variety of global markets, including stocks, forex, cryptocurrencies, and commodities, providing broad market coverage.
  • Pine Script
    TradingView offers its own scripting language, Pine Script, which allows users to create custom indicators and strategies.

Possible disadvantages

  • Subscription Cost
    While TradingView offers a free tier, advanced features and additional data require a subscription that may be costly for some users.
  • Limited Broker Integration
    The number of brokers integrated with TradingView for direct trading is limited, which may be a drawback for users whose preferred brokers are not supported.
  • Data Delays
    Free tier users may experience delays in data feeds, which can be critical during fast market movements.
  • Customization Restrictions
    Some advanced customization options for charts and tools are restricted to higher subscription levels.
  • Learning Curve for Pine Script
    Although powerful, Pine Script has a learning curve, which may be challenging for users who are not familiar with coding.
  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

Analysis

An editorial look at what each product does well and who it suits.

TradingView
Scikit-learn

No analysis of TradingView yet.

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

Videos

Walkthroughs and reviews on video.

TradingView 3 videos + Add
Scikit-learn 2 videos + Add

TRADINGVIEW REVIEW

More videos

  • - Why I Switched From MetaTrader to TradingView - TradingView Review
  • - My Trading Set-up | Thinkorswim and Tradingview

Learning Scikit-Learn (AI Adventures)

More videos

  • - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
TradingView
Scikit-learn
100% 100%
Finance
0% 0%
0% 0%
Data Science And Machine Learning
100% 100%
100% 100%
Trading
0% 0%
0% 0%
Data Science Tools
100% 100%

User comments

Share your experience with using TradingView and Scikit-learn. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

TradingView 5.0 · 4 reviews
Scikit-learn no reviews yet

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

TradingView 258 mentions
Scikit-learn 41 mentions
  • Going from paper trading to real money. Best way to go about this?
    What is my best option here to move forward and play with $10 on tradingview.com. Source: about 3 years ago
  • Daily Discussion Thread | July 11
    Maybe get on tradingview.com? Thats my favorite charting system outside of TOS. Its limited in the free version though. Source: over 3 years ago
  • Big news for our BTC loyalists 📈
    According to data from TradingView.com, BTC has officially reached 50% market dominance for the first time in 2 years. Source: over 3 years ago

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  • Where to Learn Applied ML for Incident Response: Start at Scoping
    Reachability says who could be compromised. Behavior says who probably is. Sysmon Event ID 1 records every process with its parent. Reduce each to a parent>child token, keep only tokens that are new to each host since the intrusion... - Source: dev.to / 7 days ago
  • Detecting Ingress Tool Transfer (T1105) with Python
    Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process,... - Source: dev.to / 5 months ago
  • Best AI Cybersecurity Training for Security Teams: How to Pick
    Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab.... - Source: dev.to / 5 months ago

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Alternatives to TradingView and Scikit-learn

When comparing TradingView and Scikit-learn, you can also consider the following products.

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