In this webinar, professional trader Paul Wallace discusses the latest situation with Brexit and covers the following topics:

– What is the latest situation when it comes to Brexit?
– How has the affected relevant markets?
– What sort of opportunities does this offer us?
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Trader’s Yard: https://tradersyard.com/group/312#tim…
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► ABOUT TRADING SPOTLIGHT ◄
Each webinar will put the spotlight on one popular trading topic, giving you a deep dive into how it works, typical market movements, and how you can make the most of it in your trading strategy. With a mix of content for beginner, intermediate and advanced traders.

✅ By the end of each webinar, you will know:
– The ins and outs of each deep-dive webinar topic
– How to analyze the markets to find profitable trades
– How to identify common chart patterns and trading opportunities
– How to implement popular trading strategies for different markets
– How to effectively trade in the MetaTrader 5 platform

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► RISK WARNING ◄
Forex & CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 81% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. Therefore, you should not invest or risk money that you cannot afford to lose. You should ensure you understand all of the risks. Before using Admiral Markets services please acknowledge the risks associated with trading. This webinar/event is produced for a global audience.

Admiral Markets offers its services in various jurisdictions by utilizing several companies authorized and regulated, please visit for details:

https://www.admiralmarkets.com

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In this video, experienced trader, Paul Wallace, will explain how to use algorithmic trading the proper way.

By the end of this video, you will understand:

�� How algo’s operate in markets
�� What to expect when they go wrong
�� How to manage your trading around such events

�� Read more about algorithmic trading here: https://bit.ly/2O1xktw

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●RISK WARNING●
Forex & CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 71% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. Therefore, you should not invest or risk money that you cannot afford to lose. You should ensure you understand all of the risks. Before using Admiral Markets services please acknowledge the risks associated with trading. This webinar/event is produced for a global audience.

Admiral Markets / Admirals offers its services in various jurisdictions by utilising several companies authorised and regulated, please visit for details:

www.admiralmarkets.com

#AlgoTrading #EA #AutomatedTrading

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Financial models have always been impacted by the lack of data (or many highly noisy data), by necessary mathematical simplifications such as normality or linearity assumptions and by a limited ability to use a wide set of features to better describe the problem and have greater predictive power. This is true in risk management, trading and portfolio construction, but even more so in liquidity models.
Liquidity is a multi-dimensional beast that economists, quants and statisticians have tried to understand for several decades. This type of problem has a very high dimensionality and highly non-linear patterns and very sparse data.

The nature of the problem lends itself to be faced with machine learning techniques.

We have therefore decided over the years to test some of these techniques in the calibration of models for liquidity.
In this research, leveraging GPUs and cloud, we focused on the estimation of market liquidity, in particular of the transaction cost.
In this research, we tested random forests and neural networks for the estimation of tradable volumes showing a significant increase in the out-of-sample performances. We are now extending the experiment to the entire transaction cost and not to a single component of it by testing deep learning and in particular deep reinforcement learning.

In the application of these more advanced and complex techniques, we are paying particular attention to the ongoing research on the interpretability (XAI), which is a necessary condition and not yet completely resolved for extensive use of Deep Learning in finance.

Liquidity Risk Mangement → http://bit.ly/2WQBYtk

Watch more:
Next ’19 ML & AI Sessions here → https://bit.ly/Next19MLandAI
Next ‘19 All Sessions playlist → https://bit.ly/Next19AllSessions

Subscribe to the GCP Channel → https://bit.ly/GCloudPlatform

Speaker(s): Stefano Pasquali

Session ID: MLAI232

product: Cloud – General; fullname: Stefano Pasquali; event: Google Cloud Next 2019;

Effective liquidity management requires the right liquidity, delivered at the right time and with the right reporting. Responsiveness of the bank to offer bespoke solutions, based on an understanding of the customer’s business model, specific markets in which the customer is in, regulations, tax considerations, unique operational and reporting requirements are critical attributes. Treasurers need access to liquidity across geographies and multi-bank solutions are an integral part of the liquidity management solution, whether domestic or cross-border. Oracle provides corporate treasurers with a unified real-time view of global liquidity structures and underlying multi currency accounts, balances & liquidity, enhancing returns through investment into high yield instruments and compensate Trapped Liquidity.

For more information, visit https://www.oracle.com/industries/financial-services/banking/solutions/corporate-banking.html
Follow us at LinkedIn: https://www.linkedin.com/showcase/oraclefs/