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Description
Engaging in trading is akin to running a business, which requires specific tools and strategies to initiate operations. Just as you would consult with an engineer before constructing a home, seeking advice from a knowledgeable professional is essential in the trading realm. Utilizing advanced technical software can significantly reduce the likelihood of financial losses in the market. To effectively manage risks and avoid stop-loss scenarios, it is crucial to dedicate time to analyze market trends using technical charts that provide an appropriate stop-loss ratio aligned with those trends. The fundamental principle in trading is that by establishing targets and stop-loss levels in accordance with market trends, one can achieve successful trades without incurring losses. Many traders often find themselves waiting for losses to materialize while simultaneously fearing the delay in realizing substantial profits, which leads them to prematurely secure smaller gains; this issue typically arises when they lack access to reliable charting tools that can accurately reflect market strength and direction. Thus, having a solid understanding and the right resources at hand can greatly enhance trading outcomes.
Description
Waiting is a compact library designed to facilitate the process of waiting for specific conditions to be met. It fundamentally pauses execution until a designated function returns True, offering various operational modes. Additionally, Waiting is designed to work seamlessly with flux for simulating timelines. The simplest way to utilize it is by providing a function to monitor. It’s straightforward to wait indefinitely; if your predicate yields a value, that value will be returned as the output of wait(). You can also set a timeout, and if this period lapses without the predicate being satisfied, an exception will occur. The library polls the predicate at a default interval of one second, which can be adjusted using the sleep_seconds parameter. When dealing with multiple predicates, Waiting offers two efficient methods for aggregation: any and all. These methods are similar to Python's built-in any() and all(), but they ensure that a predicate is not invoked more than necessary, which is particularly beneficial when working with predicates that are resource-intensive and time-consuming. By streamlining these functions, Waiting enhances both the efficiency and user experience of handling asynchronous operations.
API Access
Has API
API Access
Has API
Integrations
Flux
Python
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
ECG Trade
Country
India
Website
ecgtrade.com
Vendor Details
Company Name
Python Software Foundation
Country
United States
Website
pypi.org/project/waiting/