StockSharp

🔥 We did it! Now, on our GitHub, you’ll find a real treasure trove of ready-made trading strategies in C# and Python—just grab and run!

Why reinvent the wheel when everything is already at your fingertips? You can use any strategy with Designer, Runner, Shell, or directly through the API. If you want things even easier, just open the Gallery in Designer and launch any strategy in just a couple of clicks!

Inside you'll find indicator-based, arbitrage, market-making, and even machine learning strategies. Every example comes with clear comments so that even complete beginners can dive right in.

Let’s create algorithmic magic together! Experiment, modify, test—and may the markets be ever in your favor 😉

Dear friends,

In honor of Black Friday and Cyber Monday, we have prepared a special offer for you! 🎉 Only until Tuesday, you can get our subscription plans at a 30% discount!

📅 Offer valid until: the end of Tuesday.

This is an excellent opportunity to connect to our services at a great price and accelerate your success in algorithmic trading!

💡 Don't miss out! Start using the best trading tools now with significant savings.

👉 Visit our website and choose a subscription plan

Sincerely,

🔥 New Video: We Will Prove That You Can Create Complex Strategies Without Coding!

Think only C# code can handle real trading challenges? We’re here to bust that myth! In our latest video, we demonstrate how to build logic just as powerful as professional code using the flexible and robust blocks of Designer.

💣 What We Prove:

Blocks are not toys. They allow you to create strategies of any complexity.

Strategy setup is accessible to everyone, even if you’ve never programmed before.

The flexibility and power of our tools make creating complex algorithms simple and intuitive.

You’ll see for yourself that building a strategy can be faster than writing code from scratch.

If you think “real strategies are only for programmers,” you absolutely need to watch this!

We are excited to introduce new updates to the charts in Terminal, significantly improving market data analysis and making trading more convenient for users. This update brings improvements to the Box Chart and Cluster Chart, including buy and sell separation, support for dynamic price grouping steps, and percentage steps for the XO and Renko charts. Let's take a closer look at these new features.

Box Chart

Buy and sell volumes are now displayed separately, making it easier to analyze market sentiment. The color separation helps to quickly navigate the data.

Cluster Chart

The addition of buy and sell separation allows for a more accurate analysis of volumes at each price level.

Dynamic Price Grouping Step Support

The dynamic price grouping step now automatically adjusts to market activity, which is particularly useful for instruments with small price steps, such as cryptocurrencies.

Percentage Step Support for XO and Renko

In the XO and Renko charts, you can now set price changes in percentage steps, making these charts more flexible for analyzing volatile assets like cryptocurrencies or stocks.

Benefits of the Update

- Buy and sell volume separation for more accurate market analysis.

- Dynamic price grouping step for assets with small price changes, such as cryptocurrencies.

- Percentage steps for XO and Renko charts to adapt to different market conditions.

Conclusion

In the latest update of Terminal (and the platform in general), we have made several significant improvements to the order book functionality, making it even more convenient and flexible to use. These innovations will help traders analyze the market more effectively and make better-informed decisions. In this article, we will cover the key updates, including the new two-column order book mode, bubble-style tick trade chart, support for moving spread, as well as enhancements for sparse and grouped order books.

New Two-Column Order Book Mode

Now, the order book in StockSharp can be displayed in two columns: one column for prices and the other for order volumes. Unlike the previous three-column mode where bid and ask volumes were shown separately, they are now merged into one column, with visual distinction for buy and sell orders using background colors.

Advantages of the new mode:

Compactness: All order volumes at a single price level are consolidated into one column, making the interface more compact.

Visual separation: It's easy to distinguish buy and sell volumes thanks to different background colors.

Space-saving: This format allows for more convenient management of multiple assets on one screen.

Bubble-Style Tick Trade Chart

You can now use a bubble-style tick trade chart, where each bubble represents an individual trade. The size of the bubble corresponds to the trade volume: the larger the volume, the bigger the bubble. The color of the bubble indicates the trade direction — green for buys and red for sells.

Advantages of the bubble chart:

Visual clarity: Quick visual analysis of trade volumes thanks to varying bubble sizes.

Color coding: Instant differentiation between buys and sells with green and red colors, respectively.

Ease of analysis: The visual representation of trades allows you to quickly assess market activity.

New Moving Spread Mode

A new moving spread mode has been added to the platform, which automatically adjusts the spread based on price movement. If the price rises, the spread shifts upward, and if the price falls, the spread moves down. This feature helps you track the spread dynamics more effectively in relation to the current market movement.

Advantages of the moving spread mode:

Automatic adjustment: The spread automatically adapts to price changes.

Ease of analysis: It helps to more accurately track changing market conditions and price dynamics.

Improved Support for Sparse Order Books

Handling sparse order books is now even more convenient. The platform automatically optimizes the display for assets with large gaps between order prices, making the information easier to analyze.

Advantages:

Clear display: Convenient representation of orders even for low-liquidity assets with sparse price levels.

Ease of analysis: Easier to track data with fewer orders.

Grouped Order Book

We have also improved support for the grouped order book, which aggregates orders at close price levels into groups. This simplifies the analysis of instruments with large numbers of orders distributed across similar price levels.

Advantages of the grouped order book:

Order grouping: Convenient representation of large amounts of information.

Reduced visual clutter: This reduces the amount of data to analyze, making it easier to interpret.

Customizable Options

All new order book features can be enabled or disabled at will, returning the order book to its previous appearance if needed. This way, you can customize the order book to suit your preferences: keep the two-column mode, enable the tick trade bubble chart, or use the moving spread — or revert to the classic layout.

Conclusion

The latest updates to the order book functionality make using it in StockSharp more flexible and efficient. The new two-column mode with visual volume separation, bubble-style tick trade chart, moving spread, and enhanced support for sparse and grouped order books allow traders to access more accurate and up-to-date data for analysis and decision-making.

Candlestick patterns are one of the most common tools in technical analysis. They help traders recognize potential market movements based on combinations of candles on the price chart. In this article, we will explore what candlestick patterns are, how to use them in trading, and what features the StockSharp platform offers for working with them.

What Are Candlestick Patterns?

Candlestick patterns are specific combinations of Japanese candlesticks that indicate possible changes in market dynamics. Each candle displays information about the opening price, closing price, high, and low over a specific time period. By analyzing sequences of these candles, traders can draw conclusions about market sentiment and potential points of reversal or trend continuation.

How to Use Candlestick Patterns in Trading?

Using candlestick patterns allows traders to:

Identify trends: Determine the direction in which the market is moving—upward, downward, or in a flat state.

Recognize reversal signals: Find moments when the current trend may change.

Confirm trading decisions: Use patterns in combination with other indicators for more justified trades.

It's important to understand that candlestick patterns are not guaranteed signals but serve as an additional tool for market analysis.

StockSharp's Capabilities for Working with Candlestick Patterns

The StockSharp platform provides extensive functionality for working with candlestick patterns, making this process intuitive and flexible.

Easy Addition of Indicators

Adding a candlestick pattern indicator in the StockSharp terminal is very simple:

Click on the button in the form of tiles:

The Pattern Editor will open, where you can select from a list of existing patterns or create your own.

Candlestick Pattern Editor

The Pattern Editor in StockSharp allows you to:

Create your own patterns: Set unique combinations of candles that match your trading strategies.

Adjust parameters: Change the conditions for pattern formation, such as candle length, their ratio, and other characteristics.

Save and load patterns: Manage your templates for quick access in the future.

Visualization on the Chart

After adding a pattern, it will be displayed directly on the price chart, which allows you to:

Quickly identify necessary formations: Instantly see signals without the need for complex analysis.

Improve decision-making: Visual representation of patterns contributes to more prompt and well-founded actions.

Integration with Strategy Designer

Candlestick patterns in StockSharp are available not only for manual trading but also for automation:

Usage in Designer: Include patterns in automated strategies without the need to write code.

Examples of free strategies: Check out our free strategy, demonstrating the application of candlestick patterns in automated trading.

Conclusion

We have released new versions of our programs, which include several improvements, but the main update is the significant expansion of our technical indicators database. The number of indicators on our platform has more than doubled and now stands at around 160.

With the help of AI, we have quickly entered the niche of leading global platforms, securing a strong competitive advantage in innovation and development. We have already matched the codebase for indicators with top platforms and are ready to significantly expand it in the near future, thanks to AI. This will allow us to offer even more tools for analysis and market operations.

Previously, developing the first half of these indicators required considerable efforts from our users, who created them as part of open source projects. Their work laid the foundation for training the AI, which now generates new indicators fully adapted to our platform.

During the process, it became clear that the AI initially had difficulties with our indicators API. This led us to revisit and simplify the internal code architecture, which not only helped the AI but also improved the overall flexibility of the system. Interestingly, the AI itself suggested optimal solutions, based on the best programming practices.

The process of developing indicators is similar to what we described in our article about creating connectors using AI.

We are happy to note that all indicators remain in open access, and we would greatly appreciate your feedback. You can leave your feedback in our chat or on GitHub to help us improve the product even further.

September 2024. We, the StockSharp team, are actively using AI to write connectors for crypto exchanges. But let me warn you — if you are reading this in 2025 or later, all of this might already be outdated. If you’re from the future, welcome to the past! And don’t forget to check if our methods are still relevant.

Our journey with AI started with ChatGPT 3.5, which, frankly, could not write even a simple trading strategy, let alone a crypto exchange connector. However, with the arrival of ChatGPT 4.0 and Claude Sonnet 3.5, things drastically changed. Now, AI can write complex code modules, though with caveats: you still have to intervene, clarify, and fix bugs, which has become a normal part of our process.

Step 1. Starting a project in Claude.ai

Project creation interface in Claude.ai. Here, all data and examples are saved, allowing you to maintain the context of the work.

Claude.ai is like your personal developer, who understands some things, but without your supervision, can write something that might make your hair stand on end. So keep your documentation and vigilance close.

Step 2. Copying existing code

To avoid reinventing the wheel every time, we base our work on an already existing connector, for example, for Coinbase. We copy the project structure and adapt all the key classes and methods for the new exchange. This is just the beginning — the real fun starts now.

Step 3. Adapting the WebSocket client

Original WebSocket client code for one of the exchanges, generated by Claude.ai. The AI suggests expanding the data types and events.

Claude.ai made a mistake in implementing WebSocket authentication. We corrected the code and added proper authentication before connecting.

Example code where the WebSocket address is passed as a parameter, making the architecture more flexible.

Step 4. Setting up the REST client and adapter

After setting up the WebSocket client, we move on to the REST client. Claude.ai generates basic requests, but we have to manually clarify whether they are correct. Each exchange’s API differs, and you need to be careful not to miss important details in the documentation.

Generated domain model classes. We manually supplemented them with attributes and corrected the data types.

We added JsonProperty attributes for proper work with JSON data.

Claude fixes code for processing trade data transmitted via WebSocket and REST API.

Step 5. Optimization and new methods

Optimized methods for working with candlesticks and trade data via WebSocket, refactored into separate classes.

Claude.ai added methods for trade operations in SocketClient, but they had to be optimized and corrected for errors.

Step 6. Testing — the code doesn’t always work on the first try

Claude.ai suggested code for working with REST API Gate.io, but it needed to be tested and refined.

Step 7. Data conversion for spot and derivatives

Claude.ai suggested the Extensions class to support data conversion between spot and derivatives on Gate.io.

SpotAdapter was rewritten with changes in HttpClient and SocketClient, using methods from Extensions.

Step 8. Futures adapter and error corrections

Generated HttpClient for working with futures via REST API Gate.io.

Fixed futures adapter with correct order book processing logic.

Optimized methods for data recovery and order book processing based on Claude.ai’s suggestions.

GitHub Copilot — overhyped toy or real helper?

AI: an enhancer for professionals and a barrier for beginners

If you’re a beginner developer just diving into the world of programming, you’re, to put it mildly, out of luck. Currently, AI won’t boost your efficiency in any significant way. Moreover, trusting AI with complex tasks can get you even more tangled in code and problems it generates. It’s a different story for experienced programmers.

For professionals, AI becomes a powerful tool that amplifies their capabilities: it speeds up development, offers solutions, and enriches knowledge of various technologies and libraries. In such a tandem, AI helps you focus on key project aspects, leaving the routine to it.

However, as we have already mentioned, AI hits the weakest spot — beginner developers, making the gap between them and professionals even wider. Experienced programmers can quickly identify AI errors, correct them, and continue working, while a novice will simply drown in these problems. Ironically, at a time when AI was conceived as a help for everyone, it currently only increases this gap.

Dear StockSharp users!

We have recently launched a connector for Gate.io, and the gifts have already started coming in! If you're not familiar with Gate.io yet, now is the perfect time to check out this platform. We're launching a joint promotion for everyone who is already with StockSharp but hasn't yet registered on Gate.io. And if you're already there, feel free to skip this news with a slight sense of superiority.

What does the promotion offer?

Bonuses for newcomers:

Register on Gate.io through StockSharp and make at least one trade — and you’ll be able to add a $30 futures voucher to your account. And if you want to step it up and trade more than $100,000 during the promotion period, you’ll get VIP4 status for 30 days. Yes, that’s the level where you can really feel on top! But hurry, this offer is only available to the first 100 users!

How to participate?

Register on Gate.io (if you haven’t done so already) and don’t forget that you already have a StockSharp account — in case you forgot. Connect your Gate.io API key to StockSharp. If you’re not sure how to do this, our friendly guide is ready to help. Trade as you know how — on spot and futures markets. All you need to do is trade, and we’ll take care of the rewards! Receive your bonuses within 14 working days after the promotion ends. Or just be happy knowing you could have received them if you hadn’t missed the deadlines.

Why is this cool?

Because everyone loves gifts, especially when you don’t have to fight for them. After all, who would say no to a free voucher or a VIP status that makes you feel important for 30 days?

So, if you have StockSharp and you’re not yet on Gate.io — this is your chance. And if you’re already registered everywhere, feel free to share this news with friends and enjoy their envious looks when they find out about such opportunities.

Promotion period: Until the end of September

Don’t miss out, because good things are always in short supply, especially when they’re free!

Greetings to all our amazing users! We couldn’t just sit still, so we’ve made yet another awesome connection – StockSharp now has a connector for Gate.io. That’s right – we’re talking direct access to one of the top crypto exchanges! Break out the champagne because you’ve now got a golden ticket to the world of crypto trading.

So, what’s the scoop?

Connector to Gate.io: Yup, now you can trade on Gate.io without leaving the comfort of our cozy programs. Cryptocurrencies, charts, trades – all at your fingertips. Ready to dive into the market and make waves? We’ve got your back!

Available in all programs: No matter what you’re using – whether it’s Designer, Terminal, or who knows, maybe even S#.Buddy – the new connector is here to impress. No extra steps needed, everything’s set up and running like clockwork!

No license check: And here’s the cherry on top! We’ve decided to give you a gift and turned off the license check for this connector. Now you can use it in your own projects without any “Can I really do that?” moments. Total freedom, folks!

So go ahead – trade, create, profit!

If something isn’t working right, or if you just need someone to chat with, our support team is always on hand (sipping coffee and ready to help). And don’t forget to tell us how you’re conquering the market with our new connector!

We have prepared a structured guide to the previously released YouTube lessons focused on learning algorithmic trading using StockSharp Designer. This material provides a sequential overview of key concepts, including the creation and debugging of trading strategies, working with block diagrams, and algorithms. With this organized structure and visual support, learning has become even more accessible and effective.

1. Introduction to StockSharp Designer

Description: This lesson covers the basics of using StockSharp Designer, including an overview of the interface and key features.

Watch the video

2. Trading Strategy Visual Builder

Description: The lesson focuses on creating and modifying trading strategies using the visual builder tool.

Watch the video

3. Cubes Variable, Logic, Math

Description: Learn about variables, logical operations, and mathematical cubes used in strategy creation.

Watch the video

4. Debugging trading strategies

Description: This lesson focuses on debugging trading strategies, helping you identify and fix errors in your code.

Watch the video

5. Protect position

Description: Overview of strategies to protect your position in the market.

Watch the video

6. Math and indicators. Formulas and moving averages

Description: Study of mathematical cubes and indicators such as moving averages, along with their formulas.

Watch the video

7. More strategies. Bollinger and MACD

Description: Explore additional strategies using Bollinger Bands and MACD indicators.

Watch the video

8. Multi-timeframe strategies

Description: Learn to create strategies that analyze multiple timeframes simultaneously.

Watch the video

9. Time is...

Description: Focuses on the importance of time-based conditions within trading strategies.

Watch the video

10. Connect Designer with Hydra

Description: How to integrate StockSharp Designer with the Hydra data management tool.

Watch the video

11. Optimization of trading strategies

Description: Techniques for optimizing trading strategies to improve performance.

Watch the video

12. Live trading

Description: Practical guide to using StockSharp Designer for live trading.

Watch the video

13. Building complex cubes

Description: Advanced lesson on creating complex cubes for sophisticated trading strategies.

Watch the video

14. Candles compression

Description: Techniques for compressing candle data to create clearer market signals.

Watch the video

15. Using Flag

Description: How to use the "Flag" feature to manage conditional strategy behavior.

Watch the video

16. Maximum Volume strategy

Description: Strategy focused on identifying and trading based on maximum volume levels.

Watch the video

17. Financial indexes

Description: Analyzing and incorporating financial indexes into your trading strategies.

Watch the video

18. Multi instruments trading strategies

Description: Develop strategies that involve trading across multiple instruments.

Watch the video

19. Multi assets and financial indexes

Description: How to combine multiple assets and financial indexes in a single strategy.

Watch the video

20. C# code editor

Description: A detailed look at the C# code editor in StockSharp Designer for custom strategy development.

Watch the video

21. Writing trading strategies in Visual Studio

Description: Learn how to write and debug trading strategies using Visual Studio.

Watch the video

22. Import and export trading strategies

Description: Guide on importing and exporting trading strategies in StockSharp Designer.

Watch the video

---

Additional Resources:

Chat: StockSharp Telegram Chat

Documentation: StockSharp Documentation

We are excited to introduce the updated connector to the broker Tradier, which now supports the new protocol and includes convenient OAuth authorization. This update will bring many benefits to traders and developers working on the StockSharp platform.

What is Tradier?

Tradier is an innovative brokerage platform providing APIs for traders and developers who want to create their own trading applications and algorithms. Tradier is known for its high order execution speed, reliable infrastructure, and a wide range of available financial instruments. With their help, you can develop complex trading strategies and gain access to diverse data and analytical tools.

Advantages of the new connector:

1. Support for the new protocol: The updated connector to Tradier now supports the latest protocol standards, ensuring faster and more stable access to trading data and operations. This allows you to use the most modern features and capabilities of the Tradier platform.

2. Convenient OAuth authorization: With the introduction of OAuth authorization, the connection process has become simpler and more secure. OAuth ensures the reliable protection of your credentials and allows you to quickly and easily authenticate without the need to remember passwords. Now you can log in with just a few clicks, significantly speeding up and simplifying the workflow.

3. Increased security: The new protocol and OAuth authorization significantly improve the security of working with the connector. Your data is securely protected from unauthorized access, which is a key aspect for traders and investors.

4. Integration with the StockSharp platform: The updated connector easily integrates with various StockSharp products, such as Designer and other programs. This ensures ease of use and access to a wide range of financial instruments provided by the Tradier broker.

Detailed information:

For more detailed information on the settings and capabilities of the updated connector to the Tradier broker, please visit the following link: Documentation for the Tradier connector.

Don't miss the opportunity to take advantage of all the benefits of the updated connector and improve your trading strategies and market analysis with reliable tools from Tradier and StockSharp. We are confident that this connector will become an indispensable assistant for all traders and developers working in the market!

Join the discussion:

We are pleased to announce that connectors for the cryptocurrency exchanges Binance and OKX are now available for use in your own programs on the free plan from StockSharp! This significant update allows developers to integrate these popular exchanges without the need for a license.

Update Highlights:

1. Free Plan: Binance and OKX connectors can now be used for free, significantly lowering the entry barrier for beginner developers and startups. 2. No License Verification: License verification is disabled, meaning you can distribute your programs using these connectors without the need for licensing and verification. 3. Ease of Integration: The connectors integrate easily into your applications, providing convenient access to exchange data and the ability to perform trading operations. 4. Availability on NuGet: The connectors are now available on nuget.org.

Update Instructions:

If you are using Visual Studio, simply rebuild your project and update the package versions to the latest available on nuget.org. This will ensure proper functionality and access to all new features and fixes.

Usage in Designer and Other Programs:

For users of Designer and other StockSharp programs, nothing has changed. The Binance and OKX connectors have always been available on the free plan without limitations, and you can continue to use them as before.

This update opens up new opportunities for developers, allowing them to create and distribute powerful trading applications and bots with minimal costs. We are confident that this will be an important step towards popularizing algorithmic trading and data analysis in cryptocurrency markets.

Don't miss the chance to take advantage of the new opportunities and start integrating the Binance and OKX connectors into your projects today!

Friends!

We are excited to introduce our latest development — the Runner program! This powerful tool is designed specifically to make it easy for you to run and manage your trading strategies on the StockSharp platform.

Why did we create it?

We strive to make your trading even more efficient and convenient. Runner allows you to run strategies written in C#, schemas, and ready-made DLL assemblies, as well as integrate with Telegram for remote control.

What is Runner for?

Integration with Designer

Runner is integrated with Designer, which means you can run strategies written with blocks. Learn more about it here.

Live Trading

Use your strategies in real time on VPS to get current results. We have specially designed Runner to minimize resource consumption, especially when many trading robots are running. This allows for optimal performance for complex operations.

Command Line Execution

Runner is executed via the command line, which is especially convenient for developers working in Visual Studio. Since Runner consumes virtually no resources, it is highly efficient for heavy operations such as optimization. Moreover, backtesting is available for free within the Runner program. Details can be found here.

Remote Management via Telegram

Runner supports remote management via Telegram. No coding is required for this — you just need to be registered on our website and pass verification in our chat bot. Read more here.

Key Features:

- Cross-Platform: Works on various operating systems. - Ease of Use: Intuitive interface and ease of setup.

We are confident that Runner will become an indispensable assistant for all traders and developers striving for new heights in algorithmic trading.

Learn more about Runner and download the program on our website StockSharp.

Artificial intelligence is gradually permeating all spheres, including algorithmic trading. We plan to release various AI-based features, as this trend cannot be ignored. This article discusses how AI is developing in the field of algo trading and the changes it brings.

Impact of AI on Algorithmic Trading

1. Reduced Need for Connector Developers

With the development of AI, the need for connector developers is decreasing. Basic connectors, such as those for cryptocurrency exchanges, are easier and faster to create through AI with proper model fine-tuning. If AI learns to adapt in real-time, it can automatically track errors and protocol updates, promptly adjusting the code.

Screenshot of the process, showing how a connector adapts to a changed crypto exchange protocol:

One of the key advantages of AI is the significant acceleration of development. In our company, we use AI to create connectors, which reduces their development time by several orders of magnitude. Previously, writing and testing a new connector could take several weeks, but now it takes only a few days. This demonstrates how AI can transform processes, increasing efficiency and reducing costs. We will write a separate article on our approach to developing connectors through AI.

2. Strategy Writing

Almost all developers engaged in custom strategy writing may disappear as a class. AI can generate individual strategies faster and more accurately than a human. In algorithmic trading, strategy creators are often not professional programmers (which we understand, offering a solution based on Designer). Therefore, replacing this direction with AI is already possible. Users will be able to receive personalized solutions tailored to their trading style and preferences.

3. Disappearance of Popular Open-Source Projects

As AI develops, the need for popular open-source projects based on ready-made robots or strategies will decrease. It will be easier for people to ask AI to create a suitable solution for their needs and the software they are familiar with, rather than searching for a ready-made one and trying to adapt it.

4. Strategy Rental Services and Purchase of Ready-Made Robots

Creating personal strategies through AI will become easier than purchasing ready-made solutions or renting strategies. Users will be able to generate their strategies considering their personal preferences and market specifics.

5. Level of Programming Knowledge and Its Necessity

The question of the necessity of learning programming is becoming increasingly relevant. AI can already generate code better than many average programmers. This raises the question of why spend years learning when a machine can perform the same tasks faster and more efficiently.

6. Disappearance of Juniors in Algorithmic Trading

With the development of AI, juniors (entry-level developers) in algorithmic trading may disappear. Simple tasks that were previously given to newcomers for training are now performed by AI. This makes entering the profession more challenging, and tasks for seniors are becoming increasingly complex.

The Future of AI in Algorithmic Trading

In the future, AI is expected to become increasingly integrated into algorithmic trading, offering more advanced and tailored solutions for each user. Tracking protocol changes, writing unique strategies, and creating new connectors will all become commonplace. The role of humans in this process will be to control and adapt AI for specific needs and to solve complex tasks that remain beyond the capabilities of machines.

Conclusion

We are excited to announce an open invitation for anyone interested in developing connectors for our platform.

Why Participate?

Challenge Yourself: Developing connectors is an excellent opportunity to test your skills and expand your professional horizons.

Promote Yourself: Showcase your developments on GitHub and to our community. Our repository on GitHub is one of the most popular in the field of trading.

Earn Money: If your connector is well-made, we are ready to offer it to clients through our marketplace, where you can sell your solutions. Learn more about the marketplace here.

Risk-Free Strategy: Developing and sharing your connectors is a risk-free way to gain recognition and potential income.

We not only allow the creation of custom connectors for our platform, but we also encourage it. We are ready to assist by answering your questions in our chat. Join us on Telegram: https://t.me/stocksharpchat/361

We have significantly expanded our documentation to help you with this. Detailed instructions on creating your own connectors can be found here.

Additionally, we have made several connectors available as examples. You can check them out at the following link: GitHub: StockSharp Connectors.

We are pleased to announce that new connectors have appeared on the StockSharp platform in recent months, significantly expanding our users' capabilities for trading and market analysis. We present to you the new connectors:

1. Alpaca Markets

Alpaca Markets - is a platform for algorithmic trading, offering an API for automating trading strategies in the stock market. With the Alpaca Markets connector, StockSharp users can easily integrate their trading strategies and automate the trading process.

2. ByBit

ByBit - is a leading cryptocurrency exchange specializing in derivative trading. The new ByBit connector will allow traders to access the cryptocurrency market and take advantage of high-frequency trading and flexible risk management tools.

3. PolygonIO

PolygonIO - is a platform providing an API for obtaining real-time market data and historical data on stocks, options, and cryptocurrencies. With the PolygonIO connector, StockSharp users can obtain high-quality data for analysis and developing trading strategies.

These new connectors open new horizons for our users in trading and market analysis. We continue to work on improving our platform and hope that these innovations will help you achieve even greater success in your trading endeavors.