⛰ Even the biggest ones can fail.

Do not choose a safe bet (pick one asset for trading), buy the whole casino (invest in your trading infrastructure).

1ex can have this covered for you.

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👋 Hi all!

🇦🇪 We are at #ForexExpoDubai right now.

Looking forward to making new productive connections 🤝

Come find us to talk about algo trading and prop trading.

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⚠️ Professional trading comes with big risks.

1ex considers a multiplicity of trader-specific needs to minimize these risks and is your trusted co-pilot in trading.

See it for yourself.

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❕Funny enough, Microsoft Github's new AI assistant is called Copilot.

Mind the difference, 1ex is your best co-pilot in trading. And yes, we use AI, too!

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🟪 1ех Algo is the most comprehensive information environment in the world of crypto.

It suits everyone into algorithmic trading:
🔹 individual pros
🔸 day traders
🔹 scalpers
🔸 prop traders
🔹 institutional traders
🔸 educational platforms

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📈 When you leverage quality resources, your win rate is always more than the 50% statistical average.

Trade with higher win rates with 1ex.

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🔮 Do you follow just the price and volume when trading?

Then whales can rush in and crush you. 🐋

1ex Smart DOM fixes this with the new indicator called Price Intensity.

Know when the price behavior starts to change and use it to your favor with 1ex.

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🆙 Up, down, or sideways.

It doesn't really matter where the market goes when your trading solution and infrastructure adapt to anything, just like with 1ex.

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📰 Are you following the news about 1ex? We pop up in major media every once in a while

💬 A comment by our co-founder was included in Beincrypto's article about Bitcoin halving:

https://beincrypto.com/crypto-investors-focus-bitcoin-halving/

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💡It's Friday afternoon, and all stock traders are getting ready to leave work early.

But is there a way to trade round-the-clock? 🤔

There is. It's called crypto futures.

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🗻 Since the Mt.Gox repayment deadline extended for another year, there will be no large-scale sell pressure for $BTC and $BCH on this front this October.

A wise move, because those assets are valued $3.7+ billion at the moment.

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📉 Arm is close to its IPO price.

Are you ready for some action? 😏

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🧮 Why is our solution mathematically proven?

🧠 This is because our star team includes a Math PhD with decades of applied research and developers with decades of experience in trading products.

We speak from experience. 🦉

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🥇 The number of successful traders can be increased.

Our mission is to see it through.

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💪Our mission is to create more successful algorithmic traders.

In short, 1ex achieves it with the help of a breakthrough model-free PIDD trading strategy.

👀 Feedback is one of the most valuable things for an algorithmic trader.

It allows you to see whether your strategy is working or not. If it is not working, based on the feedback, you can tweak it so that it works and brings you profit.

Our experienced team members have been researching the feedback control methodology for the modern algorithmic trading. Research proved that with due control of feedback you can have a win rate of over 50% in your trades.

These results were presented
🔹at scientific conferences,
🔸in journals: https://sciencedirect.com/science/article/pii/S240589632300068X,
🔹and books (currently in preparation)

Our team has a great professional and educational background:

🦉 The Senior Expert in Mathematics and Algorithmics at 1ex Vadim Azhmyakov has a PhD in Physics & Maths and is an IEEE Senior Member with over 3 decades of active research in Applied Maths and Computer Science.

💰 Our co-founder and product owner Ilya Shirokov is a developer of market making and capital management algorithms with over 10 years of experience in the investment market.

1ex leverages the wealth of their experience to improve your trading. Now our team is ready to share all this knowledge and professional expertise with the trading community.

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⚙️ Today we are experiencing a shift and technology transfer from conventional control theory to modern financial engineering.

Within it, Barmish et al. introduced a model-free PID (Proportional-Integral-Derivative) control for stock trading.

🧠 The 1ex team has gone further and proposed the Proportional, Integral, Derivative, and Second Order Derivative PIDD control based on the Switched Systems theory.

With PIDD, gains become dynamic, and additional optimization is available through their tuning.

💡 Also, unlike the majority of stock trading products, the algorithm developed by 1ex is model-free. It means no predictive models are used for stock prices, because we interpret unknown market price variations as system disturbances.

In our version of the control-based approach to algorithmic trading, we react to stock price variations instead of modeling them.

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📓 Let's delve further into our PIDD strategy!

The Integral term of our PIDD control is determined on a time interval with a predetermined exponentially weighted memory loss function — to weigh more recent data more heavily.

🔄 The resulting closed-loop trading strategy linearly combines the feedback measures of the profit, its derivatives and an integral term modified by a suitable nonlinear saturation function that guarantees the boundedness of the current investment.

We modify the saturation function to incorporate not only the “buy” and “sell”, but also the “hold” option, thus making the decision rule in our control algorithm strongly nonlinear.

🔧 With the dynamic gain control in the complete PIDD scheme, we overcome the major limitation of the conventional PI scheme that uses time invariant feedback controllers.

🚫 We do not use any formal mathematical model for stock price dynamics in our trading approach, i.e., do not forecast random stock prices.

☑️ So, to summarize how our PIDD strategy helps create more successful algorithmic traders:

The trading rule we propose makes it possible to assign an adequate buy / sell / hold decision for every subsequent time instant in the financial market.

🏆 The calculated win rate of this MPSS trading strategy exceeds 50%, making it a convincing financial strategy.

Moreover, this PIDD-based trading tool can be used in modeling modern financial engineering frameworks.

🧩 It is compatible with classic prediction-based AT concepts and can be used in combination with a suitable Kalman filter price prediction.

You can find all the formulas and supporting materials in this article.

📚 Make sure to check out the Medium version of this information as well.