Python
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AutoEA.online
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Cryptohopper
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Configure Stop Loss, Take Profit, Trailing Stop, Break Even and Partial TP modules for MetaTrader 5. No coding required โ get your compiled .ex5 file by email instantly.
Python
AutoEA.onlineAutoEA.online's answer:
Most EA generators require you to understand complex visual editors or coding logic. AutoEA focuses on one thing: risk management modules you configure in 3 clicks. Pick your Stop Loss, Trailing Stop, Break Even or Partial TP โ we generate a compiled .ex5 file delivered instantly by email. No coding, no software to install, no subscription. One-time payment, ready to trade in minutes. Built specifically for prop firm traders who need reliable, allowed risk management tools.
AutoEA.online's answer:
Simplicity and speed. Competitors like EA Builder require learning a visual editor and a $97/year subscription. Freelance MQL5 developers charge $50-200+ per EA. AutoEA delivers a compiled, ready-to-use .ex5 file in minutes for a one-time payment starting at โฌ5. No learning curve, no recurring fees, no waiting days for a freelancer. It's built for traders who want to protect their trades โ not become developers.
AutoEA.online's answer:
MetaTrader 5 traders who want to automate risk management without coding. Specifically: prop firm traders (FTMO, The5ers, MFF) who need reliable Stop Loss, Trailing Stop and Break Even tools to pass challenges, and retail traders who are tired of manually managing every trade. They know their strategy, they take positions themselves โ they just need a robot to protect those positions 24/7.
AutoEA.online's answer:
As a trader, I was frustrated. I had a working strategy but kept losing money because I couldn't manage risk fast enough โ moving Stop Losses, setting Break Evens, adjusting Trailing Stops manually across multiple trades. I looked for a simple tool to automate just that. Everything I found was either too complex (full strategy builders), too expensive (freelance developers), or required coding knowledge. So I built AutoEA โ a platform where any trader can configure risk management modules and get a ready-to-use Expert Advisor in minutes, without writing a single line of code
AutoEA.online's answer:
React + Vite for the frontend, Node.js + Express for the backend, MQL5 for Expert Advisor code generation and compilation, and Stripe for payments. The platform generates real MQL5 source code from user-selected modules, compiles it into a .ex5 binary using the MetaTrader 5 compiler, and delivers the file by email automatically.
AutoEA.online's answer:
AutoEA is a newly launched platform, so we're building our customer base right now. Our primary users are prop firm traders preparing for FTMO and similar challenges who need automated risk management, and retail forex/gold traders who want hands-free Stop Loss and Trailing Stop management on MetaTrader 5. We serve individual traders, not institutions โ keeping things simple and affordable is our priority
Based on our record, Python seems to be more popular. It has been mentiond 299 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / about 2 months ago
For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / about 2 months ago
Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 months ago
**_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โSave this dataโ - โGet this dataโ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
MetaTrader5 - World-leading multi-asset platform that allows trading Forex, Stocks, Futures and CFDs.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Bismel1 - AI trading automation software for stocks and ETFs with strategy workflows, account visibility, order review, and automation monitoring.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
3commas - 3commas.io provides tools for cryptocurrency traders and investors.