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What is GEEK

Buddha Community

Deploy a white label futures trading software to boost your position

Deploy Infinite Block Tech’s White label futures trading software is embedded with solutions and services like derivatives trading, futures trading, margin trading, and spot trading. The safety measures include HTTP authentication, jail login, anti-DDoS protection, cross-site request forgery protection, and server-side request forgery protection.

#white label futures trading #white label futures trading software #futures trading #futures trading software

The Path to a Better Future is paved with Data

The Cambridge Analytica[i] scandal along with other data breaches[ii] have given the data extraction industry a negative reputation. That’s a hard reality to face, because (a) I lead a company that provides ethically-sourced proxies for public data extraction, and (b) I believe that web scraping can be a force for good.

I realise that some people will need to be convinced that this is true because positive stories don’t get nearly as many clicks as negative ones. But they do exist, and I hope to change some minds with this article.

There’s no going back: big data is here to stay

Web scraping helps pave the path to a better internet

Online marketplaces

“Watchdog” monitoring groups & journalists

…

#big data #latest news #the path to a better future is paved with data #future #data #better future

What is the future for Android developers

Android is dominating all other mobile operating systems in the market globally. There’s no doubt that Android applications will always be in demand. Companies like, Flipkart, Amazon, PayTM, Airtel, and many more are investing highly into third-party apps. These all apps be it native or third-party are powered by Android. Also there’s a growth in the prevalence and quality of Android Certification these days.

#android tutorials #android future scope #future for android developers #future in android #is android developer a good career

Java8 Futures: Introduction & Best Practices

To understand this better, firstly we must understand what is blocking and why is it bad for our software.

BLOCKING – A blocking/long-running call occurs when a thread is tied up for long periods of time performing computations or waiting for resources. This may be anything – a database call, file I/O, serialization/deserialization of objects, network I/O etc.

There are multiple reasons why blocking negatively affects our code.

1. During this period the threads, memory and other resources will not be released for use by other processes.
2. Code following the blocking call will not be executed until a result from the blocked code arrives.
3. Blocking is a potential bottleneck. It limits an application’s ability to scale.

But how do we solve the problem of blocking?

Blocking is inevitable in most systems. To maintain performance and scalability, we can isolate the blocking operations using Java Futures.

**JAVA FUTURES – **These allow us to isolate the blocking operations to a separate thread so that the execution of the main thread continues uninterrupted. The result of the futures is handled through a callback.

Futures represent the promise of value. In Java 8, the promise of values is represented by a CompletableFuture.

A CompletableFuture eventually resolves into one of the following 2 things –

1. The value of the future

2. An exception that occurs while resolving the value of the future.

Syntax of a CompletableFuture is as below-

CompletableFuture<Order> futureOrder = CompletableFuture.supplyAsync(() -> new Order(..));

This future takes in a lambda expression that takes some parameters. The lambda body contains all the work that is to be done in the blocking call. When the work is done, the future returns the value (in this case the order object) back to the calling code. All this work is done in a separate thread so that the normal flow of the program is not blocked.

Best Practices in Java 8 Futures:

Now, we will talk about some of the scenarios regarding futures & best practices we can leverage to our benefit.

1. Using .get & .join to get the value of the future is not a good practice as these are blocking operations. These operations force the current thread to wait for the future to complete before moving on.

Best Practice: Rather than waiting for a future to complete, we can use transformations or callbacks to handle the result of the future. The .thenApply function transforms the value of the future using the lambda provided.

CompletableFuture<String> futureString = futureOrder.thenApply((order) -> order.toString());

2. Sometimes, if a lambda returns a future we can get a nested future.

_Best Practice: _We can use .thenCompose function to flatten the nested future instead of .thenApply. This returns a CompletableFuture instead of a CompletableFuture<CompletableFuture>.

CompletableFuture<Order> flattenedFutureOrder = futureOrder.thenCompose((order) -> completedFuture(order));

3. Futures are executed in separate threads or thread pool. Management of these threads is handled by an Executor or Executor Service. When no Executor is provided for a future, a default thread pool is used. This is convenient but also means that all operations, even the fast ones are competing for the same threads.

#functional programming #future #java #scala #tech blogs #futures #java 8

Algorithmic Trading with the Keltner Channel in Python

A must-know indicator for all the traders out there

Introduction

While you’re studying technical indicators, you would definitely come across a list comprising curated indicators that are widely considered as ‘must-know’ indicators that need to be learned by you before getting your hands dirty in the real-world market. The indicator we are going to explore today adds to this list given its performance in the market. It’s none other than the Keltner Channel (KC).

In this article, we will first discuss what the Keltner Channel is all about, and the mathematics behind the indicator. Then, we will proceed to the programming part where we will use Python to build the indicator from scratch, construct a simple trading strategy based on the indicator, backtest the strategy on Intel stocks, and finally, compare the strategy returns with those of the SPY ETF (an ETF particularly designed to track the movements of the S&P 500 market index).

#finance #python #algorithmic trading with the keltner channel in python #algorithmic trading #the keltner channel #algorithmic trading with the keltner channel