algorithmic trading. StockSharp

⚡️The New Designer: The Next Level in Algorithmic Trading⚡️

2024-01-12T14:09:39Z

For professionals and enthusiasts of algorithmic trading, there's great news: The Designer has been released in a new version, full of improvements and innovations!

We have completely redesigned our Designer. It took a long time, and it was worth it. There are a huge number of new features, accelerations, and radically new capabilities!

For those who are receiving our newsletter for the first time - what is the Designer? It is a unique program where you can make trading robots without programming. Absolutely! Everything is done at the level of block diagrams, which even children learn.

Advantages

But let's go through the points on how the Designer differs from other platforms:

The Designer supports both cube mode and C# code. Why? Why not!? The program is convenient for both those who cannot program at all and those who have basic knowledge.
Our cubes are not just a limited set. First, they are elementary, which makes them flexible in completely different scenarios of use (they are NOT tailored to specific strategies, any strategies will do!). Secondly, you can create cubes yourself right inside the Designer. You can create cubes from code, or you can create cubes from cubes!
The Designer can download the necessary history by itself. This function is built-in. But for those who want more convenience - there is Hydra. Hydra downloads data, the Designer uses it.
The Designer is FREE❤️💥. Yes, that's right! For all private traders, we have a special tariff plan. In it, you can use one connector for free. For real trading (not demo, real trades)! Any. Stock exchange, crypto exchange, forex - it doesn't matter. You can choose any! And this is a lifetime privilege. No need for card entry or any verification. Just register on our website, install the Installer - the entry point to our platform (Assign, install and work with StockSharp Installer.), and there choose the connector that suits you.
You don't need to go through any registrations for referral programs, change one broker tariff to another. Your existing tariff with your existing broker is already compatible with our programs.
You can create your connectors. We don't hide documentation, we don't ask for money for it! All documentation is online. Moreover, the connector to the BitStamp exchange as an example is on our GitHub repository. We welcome everyone who wants to create connectors, and we are ready to help you.
Our core is completely open source. All algorithms, backtesters, data storage format, and so on - it's not closed, but open!

Let's Communicate

We have long been using an automatic bug report system from our users. As soon as you encounter an error, we know about it within a minute. We are always invisibly with you, this invisible channel between you and our error analysis system works 24/7. And don't worry, we only send system error information. Your secret data stays on your computer and nowhere else.

But what if you want to communicate? Then let's communicate! We are opening our channel - where in chat mode all users have access to our managers and developers. It's already here!

What's Next

In all subsequent news, we will gradually tell you about all the innovations. This letter is for everyone who is interested in the new. Stay subscribed, it will be very interesting! )

Guys, don't forget about our communication means - these are of course our mail newsletters. It's our YouTube channel (it will be filled to the brim with new videos about our new approach in algotrading). And our social media groups. Subscribe, press likes! It's very nice to receive positive emotions from you.

Ahead are New Horizons

This update opens new horizons in algorithmic trading. With the Designer, every user is already an algotrader, the intuitive logic of cubes does not require programming knowledge, which means creating your own trading strategy is available to everyone right now!.

In general, the new version of the Designer is a significant step forward for everyone involved in algorithmic trading. Start using the new features today! (for existing users: Installer update required)

Thank you all.

Meet the Updates in "Designer": Educational Videos, GitHub Repository, and Much More!

2024-04-26T10:42:12Z

🎉🎉 Significant updates for all "Designer" users! 🎉🎉

Since our last announcement of the new version of "Designer", we have received a tremendous amount of feedback through our automated bug report system, as well as numerous suggestions and comments via email. We thank everyone who took the time to share their thoughts and ideas! Your input has helped us not only fix defects but also significantly improve the program. Today, we are excited to present not only an updated version of the "Designer" but also a series of promised materials.

What's New?

🔄 New Version of "Designer": We have released an updated and improved version of the program, incorporating all your suggestions and comments. This version includes numerous fixes, significant improvements in interface and functionality, making it more stable and user-friendly. We have strived to make "Designer" even better, based on the feedback from our community.

📚 Rewritten and Updated Documentation: We have completely revised and rewritten the documentation for "Designer" to reflect the latest changes in the program. The new documentation is now more detailed, accessible, and useful, ensuring a full understanding of all the features and capabilities of the updated "Designer". This change will enhance your user experience, ease learning, and maximize your productivity.

🎥 Educational Videos Now Available for Free: We have made our educational videos available to everyone, which were previously only accessible for a fee. These videos may showcase the old interface of the program, however, the approaches and techniques demonstrated remain relevant. In case of any changes in the program, we have added explanations in the video descriptions. Don’t forget to subscribe to our channel to stay updated on new educational videos, which we will release as they become available. And of course, we look forward to your likes if you enjoy the videos, or comments if something is unclear.

🖼️ Strategy Gallery: We have added a multitude of new strategies to our Strategy Gallery. You can use these as a starting point for your projects or as examples for learning. We will add new strategies as they are developed.

👨‍💻 GitHub Repository: We are delighted to share our new GitHub repository with you, where you will find extensive examples of strategy codes and trading robots! This resource will become a reliable assistant in learning and developing trading systems. Our examples cover both API and all the source codes of strategies from our gallery for Designer. Each directory contains detailed descriptions of strategies and lessons. 🌟 Don't forget to add our repository to your Favorites, to always get notifications about new updates right on your GitHub homepage!

🚀 We invite everyone to join our community and start using the new materials to achieve your trading goals! 🚀

🔗 Don't forget to visit our chat for questions about using the program, where you will always find support and answers to your questions.

Trading Strategy Creation: Blocks vs. Code

2024-05-07T11:29:57Z

"Designer" from StockSharp offers two powerful approaches to creating trading strategies: visual construction using blocks and programming using code. These methods provide unique opportunities for traders, offering both the simplicity of the visual approach and the depth and flexibility of coding.

But how to understand which method is better suited for you personally? Let's take a closer look at the strengths and weaknesses of each approach so you can choose the most suitable one for your needs.

Advantages of Creating Strategies with Blocks in "Designer":

1. Accessibility and ease of use:
Visual blocks allow you to easily build strategies by dragging elements onto the workspace. This makes the process intuitively understandable even for those who do not have programming skills.

2. Quick debugging and modification:
Changes to the strategy can be made on the fly, speeding up the testing and adaptation process under changing market conditions.

3. Visual representation of logic:
Visual blocks allow you to "see" the logic of the strategy, simplifying the process of understanding and adjusting it.

Limitations of the visual approach:
1. Limited flexibility:
Despite the convenience, visual constructors may limit user capabilities due to a predefined set of functions and parameters.

2. Difficulties with scalability:
As the complexity of the strategy increases, managing a large number of blocks can become labor-intensive and confusing.

Advantages of Creating Strategies with Code in "Designer":

1. High flexibility and precision:
Coding allows you to precisely adjust every aspect of the strategy, providing limitless possibilities for implementing complex algorithms.

2. Scalability:
Code can easily be adapted to any requirements, whether it's handling large amounts of data or integrating with various systems and APIs.

3. Control and transparency:
Full control over every line of code provides a deep understanding and detailed view of each element of the strategy.

Limitations of the programming approach:
1. High entry threshold:
The need for programming skills can be a barrier for beginners.

2. More time for development and testing:
Creating and testing code requires significant time and attention to detail.

Conclusion:

"Designer" from StockSharp combines the best of both worlds, offering users the flexibility to choose between visual and programming approaches depending on their skill level and specific needs. This unique choice makes "Designer" the perfect tool for any trader looking to maximize the effectiveness and efficiency of their trading strategies.

AI in Algorithmic Trading: The Revolution Has Begun

2024-06-29T07:49:50Z

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

In conclusion, it should be noted that the use of AI in programming opens up many opportunities but also requires adaptation and new approaches to human resource management. We are on the brink of a new era, and our future depends on how we can integrate these technologies into our daily work.

S#.Data (Hydra) - release v4.3.22

2017-03-09T14:54:15Z

Dear Friends, the new version of our data loader Hydra is available for download!
From the fundamental changes we want to note:

1. Create indexes and continuous futures directly in Hydra! Using the downloaded data you can build your own indexes, apply popular mathematical functions to calculate them, build graphs on them and save them as a separate security

2. Added export to Excel or csv option boards, which is built and saved with Hydra. Get an array of data for analysis is now very simple!

3. Preservation of the constructed index, candles, market depthes. For example, in step 1, we built a GOOG price index to AAPL or candles from ticks, or a market depth from a log order, so that tomorrow we do not need to build it again, we have added the function of saving the result as a separate tool..

4. Extended the functionality of building candles! . The new version of Hydra allows you to build candles from the best bid, ask, spread or classically by trades!

5. FIX server mode is implemented. If before Hydra in server mode sent data as files, now the translation can be done in a professional FIX / FAST format.

We hope these changes will be useful to all algot traders. We remind you that the program is distributed for free.

>> Download <<

The S#.Designer new release - live trading the reality!

2016-12-13T16:35:33Z

Friends! Designer new version has been released.

We can say certainly that this version is most functional. There are many new features, different flavors and capabilities for each trader!
We ourselves can not wait to tell you about all the changes, let’s go:
1. The code editor in C#. Write part or even the whole strategy in C#, and Designer will act as a GUI. Nothing could be easier.

2. One’s own block – one’s own logic. We are often asked at conferences and in the comments: "Can I write my own block, describe my frequently used task?" Before, we could not say yes, but in the new version of Designer it is possible! It is enough to write your own Dll and that’s all! Your personal block is ready.

3. ETFs? Do you want your own index? And do you want to trade them like one security? We know what you want, because it is very important functionality for the competent trader: "portfolio" yield may correspond to a particular security return, but its variation can be several times lower. Create your index (portfolio), and then trade it as a single instrument! It’s conveniently!

4. Options! For those who like it hot! Designer now supports options and algorithmic option strategies, market-making and delta-hedging. Now you can sell or buy a strangle, butterfly, condor, and then get income from the value time decay or volatility of the underlying asset!

5. Instruments are in one place! All oriented to work with instruments starting with history download, storage operating and finishing with a single instrument editing is in one place. Everything is available and conveniently!

6. The real connection! In conclusion, the highlight of the show – the possibility of live trading. Connect to the market, get information on the instruments, download history, make trades, write strategies, make money – all this in the new S#.Designer.

>> Download <<

Market Research and Analysis.

2023-06-09T16:42:02Z

💥💥 Market research and analysis play a crucial role in the functioning of a trading robot. A trading robot, also known as an algorithmic trading system or automated trading system, relies on data-driven analysis to make trading decisions without human intervention. Here's how market rese, arch and analysis are incorporated into a trading robot:

👉 1. Data Collection: The trading robot collects relevant market data from various sources, including real-time price feeds, historical price data, news feeds, and economic indicators. This data serves as the foundation for conducting market research and analysis.

👉 2. Technical Analysis: The trading robot applies technical analysis techniques to analyze price patterns, trends, support and resistance levels, chart indicators, and other technical indicators. It identifies trading signals based on predefined rules and conditions programmed into the algorithm. Technical analysis helps the trading robot identify potential entry and exit points, determine stop-loss and take-profit levels, and manage risk.

👉 3. Fundamental Analysis: In addition to technical analysis, the trading robot may incorporate elements of fundamental analysis. It can analyze financial statements, economic news, corporate events, and other relevant fundamental factors to assess the overall market conditions and make trading decisions based on fundamental data. This analysis helps the trading robot identify trading opportunities and manage risk in line with fundamental factors.

👉 4. Market Sentiment Analysis: Market sentiment refers to the overall mood or psychology of market participants, whether bullish, bearish, or neutral. Trading robots can incorporate sentiment analysis techniques by analyzing social media feeds, news sentiment, and other sentiment indicators to gauge market sentiment. By understanding market sentiment, the trading robot can adjust its trading strategies accordingly.

👉 5. Risk Assessment: Market research and analysis in a trading robot also involve evaluating risk factors associated with potential trades. The robot can assess market volatility, liquidity, historical performance, and other risk metrics to determine the risk-reward profile of a trade. Based on predefined risk management rules, the robot can adjust position sizes, set stop-loss levels, and implement risk control measures.

👉 6. Optimization and Machine Learning: Trading robots often employ optimization techniques and machine learning algorithms to continuously improve their performance. They can backtest historical data to optimize trading strategies and parameters. By learning from past market data and trading outcomes, the robot can adapt and refine its trading rules to enhance profitability and minimize risks.

⚡️Overall, market research and analysis provide the necessary information and insights for a trading robot to make data-driven and informed trading decisions. By leveraging various analysis techniques, the trading robot aims to capitalize on market opportunities, mitigate risks, and execute trades automatically based on predefined rules and conditions.

How is trading robot working?

2023-05-19T18:12:59Z

💥💥A trading robot, also known as an automated trading system or algorithmic trading system, is a software program that executes trades in the financial markets on behalf of traders. It operates based on predefined rules and algorithms, without the need for manual intervention. Here's how a trading robot typically works:

👉 1. Strategy Development: The trading robot is programmed with a specific trading strategy. The strategy defines the conditions for entering and exiting trades based on various indicators, signals, or algorithms. These rules can be based on technical analysis, fundamental analysis, or a combination of both.

👉 2. Market Analysis: The trading robot continuously monitors the market using real-time or historical data feeds. It analyzes the market conditions and price movements, applying the predefined strategy rules to identify potential trade opportunities.

👉 3. Trade Execution: When the trading robot identifies a trade setup that meets the specified criteria, it automatically generates and executes the trade orders. This includes placing buy or sell orders with the appropriate parameters, such as the asset, quantity, price, and order type (market order, limit order, etc.).

👉 4. Risk Management: Trading robots incorporate risk management rules to protect against excessive losses. These rules may include setting stop-loss orders to limit potential losses, implementing trailing stops to secure profits, or adjusting position sizes based on predefined risk levels.

👉 5. Order Monitoring: The trading robot continuously monitors the executed trades, tracking their performance and adjusting stop-loss levels or take-profit targets as necessary. It may also monitor market conditions to identify when to exit a trade based on the strategy rules.

👉 6. Speed and Efficiency: One of the key advantages of trading robots is their ability to execute trades with high speed and precision. They can analyze multiple markets and assets simultaneously, identify trade opportunities faster than human traders, and execute orders instantly, minimizing latency and slippage.

👉 7. Backtesting and Optimization: Before deploying a trading robot in live trading, it is crucial to backtest and optimize the strategy using historical market data. This helps assess the performance of the strategy over time and identify any potential issues or areas for improvement. Backtesting allows traders to validate the effectiveness of the robot before risking real capital.

👉 8. Continuous Monitoring and Maintenance: While trading robots can operate autonomously, it is important to monitor their performance regularly. Traders need to ensure that the strategy remains effective under changing market conditions and make necessary adjustments or updates as required. Regular monitoring helps maintain the robot's performance and adapt to new market dynamics.

💥💥It's worth noting that trading robots are only as good as the strategy and rules they are programmed with. Therefore, it is crucial to develop a robust and well-tested trading strategy and regularly evaluate and update the robot's performance to ensure its effectiveness in different market conditions.

What is The Trading Robot?

2023-05-19T18:00:38Z

💥💥Trading robots, also known as automated trading systems or algorithmic trading systems, are computer programs that execute trades based on pre-defined rules and algorithms. These robots are designed to automatically analyze market conditions, identify trading opportunities, and execute trades without the need for manual intervention.

⚡️Trading robots can be beneficial for traders as they can eliminate human emotions and biases from the trading process, execute trades with high speed and accuracy, and operate 24/7 without the need for constant monitoring.

💥To use a trading robot, you typically need to develop or acquire a trading strategy and program it into the robot using a programming language or a dedicated platform. The strategy can be based on various indicators, technical analysis techniques, or fundamental factors. Once the robot is programmed, it can automatically execute trades based on the defined rules.

⚡️Trading robots are commonly used in various financial markets, including stocks, forex, cryptocurrencies, and commodities. They can be used for different trading styles, such as scalping, day trading, swing trading, or long-term investing.

💥It's important to note that while trading robots can be powerful tools, they are not guaranteed to generate profits. The effectiveness of a trading robot depends on the quality of the underlying strategy, market conditions, and proper risk management. Traders should thoroughly backtest and evaluate their strategies before deploying them with a trading robot and closely monitor their performance to make necessary adjustments.

⚡️Trading robots can be a valuable tool for traders, offering automation, efficiency, and potential benefits. However, it's essential to understand their limitations and use them as part of a well-rounded trading approach.

High-Frequency Trading techniques use in Algorithmic Trading

2023-05-12T12:28:27Z

💥💥High-frequency trading (HFT) in Quantitative Analysis is a type of algorithmic trading that involves the use of powerful computers and advanced algorithms to execute trades at high speeds and high frequency. HFT is used by market participants to take advantage of small market inefficiencies and price discrepancies that may exist for only a few milliseconds or less.

Some examples of techniques used in HFT include:

👉 1. Market making: HFT firms act as liquidity providers by placing orders on both sides of the market, and profiting from the spread between bid and ask prices.

👉 2. News-based trading: HFT firms use advanced algorithms to scan news sources and social media in real-time, looking for breaking news or sentiment that could affect stock prices.

👉 3. Statistical arbitrage: HFT firms use advanced statistical models to identify patterns and correlations in large amounts of data, and use this information to execute trades at high speed.

👉 4. Order book analysis: HFT firms use sophisticated algorithms to analyze the order book and identify patterns and signals that may indicate upcoming price movements.

👉 5. Colocation: HFT firms often locate their trading servers as close as possible to the exchanges to reduce latency and gain a speed advantage over other traders.

👉 6. Scalping: HFT firms place large numbers of small trades in a short amount of time to capture small profits from the bid-ask spread.

👉 7. Momentum trading: HFT firms use algorithms to identify trends in the market and execute trades based on the momentum of the market.

💥💥These are just a few examples of the many strategies that HFT firms use. Each strategy involves complex algorithms and high-speed data processing to identify and execute trades at lightning-fast speeds.

Algorithmic Trading in Quantitative analysis

2023-05-08T09:01:15Z

💥From the previous article where we introduced Quantitative Analysis and the main components of Quantitative Analysis techniques, we will now move on to explain Algorithmic Trading, which is a part of Quantitative Analysis that uses technology and software to assist in trading.

💥Algorithmic Trading is a trading strategy that uses computer algorithms to execute trades automatically based on pre-programmed rules and criteria. This approach can provide numerous benefits, such as faster and more accurate trade execution, reduced human error, and the ability to analyze and act on large amounts of data in real-time.

💥To get started with Algorithmic Trading, traders need to have a clear understanding of their trading strategy and develop a set of rules that can be implemented by a computer program. The algorithm should include entry and exit points, stop loss and take profit levels, and risk management rules.

💥Once the algorithm has been developed, traders can use a variety of programming languages and software platforms to build and test their trading systems. Some popular programming languages for Algorithmic Trading include Python, Java, and C++.

💥To give an example of Algorithmic Trading, let's say a trader wants to implement a trend-following strategy that buys when the price of a stock is trending upwards and sells when the price is trending downwards. The trader could use technical indicators such as moving averages and the Relative Strength Index (RSI) to identify trends and generate trading signals.

💥The algorithm would be programmed to buy the stock when the price crosses above the moving average and the RSI is above a certain level. The algorithm would then sell the stock when the price crosses below the moving average and the RSI falls below a certain level. The algorithm could also include stop loss and take profit levels to manage risk and lock in profits.

💥To test the effectiveness of the algorithm, traders can backtest it using historical data to see how it would have performed in different market conditions. Once the algorithm has been tested and optimized, traders can implement it in a live trading environment and monitor its performance.

💥Algorithmic Trading can be a powerful tool for traders, but it requires a significant amount of technical expertise and experience. Traders should also be aware of the potential risks, such as technological failures and the need for ongoing maintenance and updates to the algorithm. It is essential to have a thorough understanding of the strategy and risk management rules before implementing an algorithmic trading system.

💥💥Nowadays, many traders are already familiar with Algorithmic Trading. For the next article, we will explain various techniques and give examples of using each indicator in trading according to the techniques found in Algorithmic Trading. This is to ensure that all traders do not miss out on opportunities to profit in trading.

What is Quantitative analysis?

2023-05-08T08:55:04Z

💥This article will take both new and experienced traders to learn about Quantitative Analysis. Many traders may have heard of or have knowledge about Quantitative Analysis, but we will explain and delve deeper to ensure that all traders do not miss out on the profit-making opportunities from the trading techniques of Quantitative Analysis.

⚡️Now, let's take a look at the components of Quantitative Analysis.

💥Quantitative analysis, also known as quantitative finance or financial engineering, is a complex and specialized field of study that uses mathematical models, statistical methods, and computer simulations to analyze financial markets and investment opportunities.

💥Quantitative analysis has gained increasing popularity in recent years due to advances in computer technology, which have enabled analysts to process vast amounts of financial data in real-time. Some of the key areas of quantitative analysis include:

👉 1. Algorithmic Trading: Algorithmic trading is the process of using computer programs to automatically execute trades based on pre-defined rules and conditions. Quantitative analysts use mathematical models to identify trading signals and develop trading algorithms that can help generate profits.

👉 2. Risk Management: Quantitative analysts use statistical models to measure and manage risk in financial portfolios. They analyze market data to identify potential risks, develop risk management strategies, and test those strategies using computer simulations.

👉 3. Asset Allocation: Quantitative analysts use optimization models to develop asset allocation strategies that can help investors maximize their returns while minimizing risk. These models take into account factors such as risk tolerance, investment goals, and market conditions to develop optimal portfolios.

👉 4. Portfolio Optimization: Quantitative analysts use advanced optimization techniques to develop portfolios that can generate the highest returns with the lowest possible risk. They analyze historical market data and use mathematical models to identify optimal portfolio combinations.

👉 5. Trading Analytics: Quantitative analysts use statistical models to analyze trading data and identify trading patterns that can help generate profits. They also use machine learning algorithms to develop predictive models that can help forecast market trends and identify profitable trades.

💥Overall, quantitative analysis is a complex and multifaceted field that requires a deep understanding of mathematics, statistics, computer programming, and finance. It's a rapidly evolving field, and new techniques and tools are constantly being developed to help analysts better understand financial markets and generate profits for investors.

💥💥In this article, you have already become familiar with the components of Quantitative Analysis. Some traders may already have knowledge in this area, but we believe this article can help you understand Quantitative Analysis even better.

💥In the next article, we will introduce the sub-components of Quantitative Analysis, such as Algorithmic Trading. We will explain what it is, its importance, and how it can be profitable in trading.

Course for discounts!

2022-07-15T10:18:19Z

Good afternoon, Friends!

We choose a course for discounts!. All our products are available with a 20% discount for the next 7 days!

Do not miss the great opportunity to purchase programs with benefits!

Find out the details, write to us at lesson@stocksharp.com!

Start earning with us!

We look for you, who willing to help us in development S# platform! Are you one of them?

2021-02-12T13:11:35Z

Over 10 years we continue developing and maintaining our trading S# platform. During this period, S# has improved significantly and reached a completely new level and, as a result, has become much more complex.

We continue to work on and expand our platform. In order to keep pace, create new programs and services, we need people familiar with the platform and our products, who will be ready to participate in the development of the one of the best algorithmic trading platform - StockSharp. Of course, it's not free!

We could have post on a job hunter website, but this solution has a drawback - those participants will likely be unfamiliar with the platform and a significant amount of time will be needed to be spent on to learn.

Therefore, we decided to search among our users. What you should have:

- have free time or even look for full time position
- have advanced programming skills
- familiar with the platform
- you are interested in participating in its development: writing connectors, trading algorithms, features for our programs, etc.,

Send email to info@stocksharp.com with a brief description of your skills and what you are interested at to do.

Also, we welcome feedback from those who are familiar with marketing and promotion, can explain and love to record videos and communicate with the public. What for? We will be glad if you help us promote the platform, schedule and hold webinars, as well as other activities.
Our email is Info@stocksharp.com

Do not hesitate to contact us, we will definitely check every letter !!! And just in case, we will repeat again, your work will be well paid!

Christmas discounts

2020-12-22T12:46:58Z

Dear friends,

Christmas and New Year are coming closer and closer, and we are pleased to announce our big festive table, a bunch of sweets and gifts!

We are at StockSharp decided to happy our users and invite you to our prosperous New Year table and
GIVE 20% discount for all of ALL OUR PRODUCTS and ONLINE COURSE!

There is no better gift than to make yourself happy with a stable connector or the original source code of Designer or Terminal! The promotion is valid until 1st January!

Hurry up! Make yourself a present for the upcoming holiday

Regards,
StockSharp team

Earn money with us!

2020-12-17T14:53:31Z

Dear members,

Quote:

Work hard, have fun, make history

. ~ Jeff Bezos

StokSharp team invites you to take part in the development of our platform, help other members with FREELANCE service and implement new ideas that will lead you and them to success, create platform modules and much more! Work hard and you will be rewarded!

We are waiting for your feedback, what features you are interested in our platform, what skills you have and how would you like to participate!

Regards,
StockSharp Team

S# tech support works!

2020-11-05T14:41:23Z

Dear friends,

Last week, we announced our new service S#.Freelance. We apologize about the mistake we done in publishing that and some of you decided that S#.Freelance may fully replace our technical customer support service.

We want you to rest assured that S# customer service support works as before and we are here to help our clients!

Terms and conditions available here.

Enjoy our services!

Update in a new way S#.Shell and course materials!

2020-09-28T12:17:38Z

Good day friends!

We have important news for you!

Recently we’ve released our application S#.Installer what is a head center for all of our products!
According to this, we would like to announce that all of you who study or studied in our courses:

Archives with examples and S#.Shell program will be updated automatically by S#.Installer!

The old method is

not longer working

S# .Installer will also be used for the initial receipt and installation products!

Enjoy our program!

Principles for trading cryptocurrencies part 3

2020-09-15T12:49:16Z

Today we’re going to talk about one of the most important financial instruments is an order book. It is formed by all sell and buy orders on crypto exchange. An order book is the list of orders which uses to record the interest of buyers and sellers of chosen cryptocurrency for fiat money or any other cryptocurrency and taking in consideration the closest price of trading pair.[laugh]

Sometimes it's crucial [ninja], especially in arbitrage, to have an opportunity to trade with several order books at the same time. This option is fully implemented in S# programs. For instance, the working area of free trading terminal S#, Terminal allows the trader to configure it so that it would has the very informative picture of the whole trading process. [nerd]

Every order book gives the full information about the volume offer and its price. The number of offers is the order book depth. The ability to customize the book order depth also is important part of trade, as it gives you the ability to see the whole list of offers. It's often that in the upper part of order book are placed bid offers and in the down part is ask offers of selected security.[happy][love]

By fact, the order book shows the desire of trading of cryptocurrency at a favorable rate of a trade for a trader. When an opposite trade is appeared, trade is executed, and the pair price is changing in the direction of the executed trade. If the order doesn't have any counter offers, then it remains without any changes until the counteroffer moment or the cancel it by trader.

What we see on the picture that based on data of the order book, a trader can perform the analysis or make decision about trade move on. So for example, a trader can determine the spread of a traded pair (the difference between the first values of the bid and ask prices), as well as predict the behaviour of graph chart (if there is large buy orders, then rapid growth is highly likely, and vice versa). Therefore, having the option to customize the book order, the trader get a great flexibility in a trade that will bring a big profit and/or lesser risks.

Principles for trading cryptocurrencies part 2

2020-09-08T12:39:00Z

In the previous article we’ve analysed the main tools used particularly in trading and crypto trading. We've explained such important element as a chart. Keep in mind that charts can be different, and each trader can use different charts and time frames. For example S#.Data (Hydra) program may build charts of various trading elements and time frames such as ticks, candles with various periods and volume charts. All of this give you a wide look to analyse the market, assess risks and its perspectives.[nerd]

A pair may have different charts which can be distinguished by time frames. So for instance, the chart can be of 5 or fifteen minutes period. These periods named are Time Frame.[happy]

Let's look at the basic elements of Japanese candle. The rectangles on the chart is the body of a candle. The body of candle is formed based on the values of beginning and the end of the chosen time frame.

A candlestick is a type of price chart, and its candlestick can have bullish pattern if the opening price is lower the closed price, or in the opposite direction is bear candlestick. In the S#.Data (Hydra) program candles adopted green and red colour therefore we can determine the rise or fall of selected exchange tool.

Also, a shadow is a line found on a candlestick chart which indicates the maximum and minimum price during the forming process. In the case of the absence of the upper shadow is considered that candle's top being cut off or the opposite is the base is cut off. [ninja]

A Doji is a candlestick with no real body, where the open price is equal to the closed price. If the body of the candle is small, then it is called a spinning top. S# programs allows traders to read candles as much as possible. A friendly interface and advanced analyses tools make them crucial for traders because the ability to read the candles it reduces the risks, especially in crypto currency market.[wink]