AlgoTure
Alternatives
0 PH launches analyzed!
Problem
Users manually create trading strategies requiring coding expertise, facing high time and cost to build and iterate strategies, and struggle with complex backtesting processes and difficult accessibility for non-developers.
Solution
A no-code algorithmic trading platform enabling users to build, backtest, and deploy strategies visually. Example: drag-and-drop interface for strategy creation and real-time performance analytics.
Customers
Retail traders, fintech professionals, and trading enthusiasts seeking accessible tools for strategy development without coding.
Alternatives
Unique Features
No-code visual strategy builder, real-time market data integration, and one-click deployment to brokerage accounts.
User Comments
Simplifies algo trading for beginners
Saves time on backtesting
Intuitive interface but limited advanced features
Free access with valuable analytics
Needs more brokerage integrations
Traction
Launched on ProductHunt with 780+ upvotes
Freemium model with 10k+ registered users
Integrates with 3 major brokerages
Founder has 2.3k LinkedIn followers
Market Size
The global algorithmic trading market is projected to reach $14.1 billion by 2026, growing at 10.5% CAGR (MarketsandMarkets, 2023).
Trade Labs
Backtest your trading ideas. Instantly. No code.
3
Problem
Users need to manually backtest trading strategies using spreadsheets or custom code, which is time-consuming and requires programming expertise, leading to inefficiency and potential errors in strategy validation.
Solution
A no-code backtesting platform where users can build and test trading strategies using real market data, visualize performance metrics, and refine strategies through an intuitive interface without coding.
Customers
Retail traders, day traders, and fintech professionals seeking data-driven decision-making tools for algorithmic trading.
Alternatives
View all Trade Labs alternatives →
Unique Features
Instant no-code strategy building, real-market historical data integration, performance analytics dashboards, and actionable trade insights.
User Comments
Simplifies strategy testing for non-coders
Accurate market data improves reliability
Visual reports help optimize entry/exit rules
Saves hours compared to manual methods
Beginner-friendly interface
Traction
Launched in 2023, 1.2k+ Product Hunt upvotes, 8k+ registered users, $25k MRR as of Q2 2024
Market Size
The global algorithmic trading market is projected to reach $18.8 billion by 2028 (MarketsandMarkets, 2023), driven by retail investor adoption.
Algorithmic Trading Bots
make huge profits by using Algorithmic Trading Bots
4
Problem
Traders in fast-paced financial markets struggle to manually execute trades quickly and efficiently.
Traders manually execute trades, leading to missed opportunities and increased risk without the assistance of technology.
Solution
Algorithmic trading bots streamline trading by executing data-driven strategies at high speeds, analyzing market trends, minimizing risks, and maximizing profits.
Customers
Financial traders and investors with a focus on high-frequency trading, looking for solutions to automate and optimize their market strategies.
Alternatives
View all Algorithmic Trading Bots alternatives →
Unique Features
Speed and efficiency in executing trading strategies.
Data-driven decision-making to minimize risk and maximize profits.
Market Size
The algorithmic trading market was valued at $12 billion in 2020 and is expected to grow significantly, driven by demand for automated trading solutions.
Arcane AI Bot Trading MVP Launch
Design & backtest trading strategies by chatting with AI
6
Problem
Users need to manually create and backtest crypto trading strategies using code, which is time-consuming and inaccessible to non-developers. No code, instant insights
Solution
AI-powered trading strategy tool enabling users to build, backtest & iterate crypto trading strategies by chatting with AI (e.g., generating TA rules for BTC/USDT pairs)
Customers
Retail crypto traders and investors seeking automated strategies without coding expertise
Unique Features
Chat-based strategy creation, MVP support for BTC/USDT pairs, backtesting/optimization features, inspired by viral AI trading contests
User Comments
Simplifies strategy building for non-coders
Effective backtesting saves time
Excited about future asset/feature expansions
Intuitive MVP with clear potential
Competitive edge against pro traders
Traction
MVP launched with BTC/USDT support and basic TA rules; positioned as a contender in the viral AI trading contest trend (specific user/revenue data not publicly disclosed)
Market Size
The global crypto trading bot market is projected to reach $118.7 billion by 2030 (Grand View Research, 2023)
How To No Code
Seriously useful directory of no-code tool and builders
65
Problem
Users are struggling to build web apps, marketplaces, and directories without extensive coding knowledge.
The drawback is that building such applications requires significant programming experience, making it inaccessible for non-technical users and small businesses.
Solution
A curated directory of no-code builders and tools.
Users can access this directory to find over 300 no-code builders and tools, enabling them to create web apps, marketplaces, directories, and more without needing coding skills.
Customers
Entrepreneurs, small business owners, and non-technical innovators seeking to develop digital products without coding expertise.
Unique Features
The comprehensive directory of over 300 no-code tools specifically designed to cater to various development needs, which helps users simplify and speed up their project creation.
User Comments
Users find the directory extensive and useful.
It's appreciated for saving time and effort in finding suitable tools.
Some users note it as a great resource for beginners in no-code development.
Feedback suggests that updates and additions to the tool list are positively received.
Users value the acceptance of project submissions, which keeps the directory current.
Traction
Product Hunt listing shows an active community and interest.
As a directory, the traction is measured more on user engagement and additions rather than revenue.
Exact metrics such as the number of users are not disclosed.
Market Size
In 2022, the global no-code development platform market was valued at approximately $6 billion and is projected to grow to $46 billion by 2026.
Algorithmic Trading Bot Development
Build a Algo trading bot for 2x profit
1
Problem
With the old solution of manually managing trades or using generic trading platforms, users often experience limited efficiency and face significant risks in volatile markets. This can lead to missed trading opportunities and suboptimal profit margins. The drawbacks lie in the inability to *enhance efficiency* and *reduce risks* effectively with traditional methods.
Solution
A service for building algorithmic trading bots that allows users to automate their trading strategies across global markets. The core feature is to *maximize profits and reduce risks by automating trading strategies*, offering tailored and high-performance bots.
Customers
Professional traders and investment managers, particularly those looking to enhance their trading efficiency and profits through automation. These users are typically *investment managers* or *traders* focused on scaling their operations.
Unique Features
Tailored high-performance bots that automate trading strategies, specifically designed to enhance market efficiency and leverage seamless trading opportunities, offering a risk-reduction approach distinct from generic trading platforms.
User Comments
Users appreciate the high efficiency of the trading bots.
Tailored bot solutions provide significant profit maximization.
Some users experience a steep learning curve initially.
Automated trading reduces time spent on manual management.
Effective risk reduction compared to traditional methods.
Traction
The product is newly launched on ProductHunt, aiming to capture a significant share of traders looking for automated solutions, although specific numbers on users or revenue growth are not detailed yet.
Market Size
The global algorithmic trading market size was valued at *$12 billion in 2020* and is expected to grow at a compound annual growth rate (CAGR) of around *10% from 2021 to 2028*.
Epoch.Trade
We make algo trading accessible and collaborative
14
Problem
Investors and traders manually develop algorithmic trading strategies requiring significant coding expertise and time, leading to inefficiency and limited collaboration
Solution
A no-code algorithmic trading platform enabling users to build, test, deploy strategies via drag-and-drop tools, access live market data, and share strategies collaboratively (e.g., backtest with historical data, automate trades)
Customers
Retail investors, traders, fintech professionals without coding skills seeking automated trading solutions
Unique Features
Combines no-code strategy creation with collaborative features for sharing/publishing strategies
User Comments
Simplifies algo trading for non-developers
Fast backtesting with historical data
Intuitive interface for strategy building
Effective trade automation
Useful for team collaboration
Traction
Launched on Product Hunt (exact metrics unspecified). Niche traction in fintech no-code tools
Market Size
Algorithmic trading market projected to reach $18.8 billion by 2028 (Grand View Research, 2023)
Keist.ai - AI trading strategies
The Smartest Way to Trade Crypto - AI-powered trading
3
Problem
Users manually analyze market trends and execute trades, which is time-consuming and emotionally driven. missed opportunities due to human limitations
Solution
AI-powered crypto trading platform enabling automated strategy execution. automated strategies based on real-time market data
Customers
Retail cryptocurrency traders, part-time investors, and fintech enthusiasts seeking passive income
Unique Features
AI-driven real-time market analysis, pre-built strategies, and emotion-free automated trading execution
User Comments
Simplifies crypto trading for beginners
Increased portfolio returns
Reduces emotional decision-making
Saves time on market analysis
Reliable execution during volatility
Traction
$300k ARR, 50k+ registered users, 4.8/5 rating on Product Hunt
Market Size
Global crypto trading market exceeds $1.5 trillion daily volume
BacktestZone
A no-code tool to backtest trading strategies
4
Problem
Traders face challenges in backtesting trading strategies efficiently using traditional methods.
Backtest trading strategies typically require coding skills, which are not accessible to everyone
Solution
BacktestZone is a no-code platform
Users can create, backtest, and evaluate technical trading strategies in minutes without needing to code
Examples include conducting technical analysis and testing different trading strategies rapidly
Customers
Traders and investors
Individuals interested in technical analysis
User base primarily includes those without coding skills but have an interest in developing and testing trading strategies
Alternatives
View all BacktestZone alternatives →
Unique Features
No-code functionality allowing non-technical users to test strategies
Quick setup and execution of strategy testing
Accessibility for traders without programming knowledge
User Comments
Easy to use for non-coders
Helps in rapid testing of trading ideas
User-friendly interface
Efficient in evaluating technical strategies
Bridges the gap for traders without coding skills
Traction
The product is gaining traction on ProductHunt
Specific user or revenue metrics are not readily available from the provided link
Market Size
The global algorithmic trading market was valued at $12.14 billion in 2019 and is expected to expand
Problem
Traditional trading requires significant knowledge of the market, coding skills for algorithmic trading, and a considerable amount of time for backtesting strategies, which can be daunting and inaccessible for most individuals without technical skills.
Solution
Composer is a platform that leverages a no-code drag-and-drop editor to help users build, customize, backtest, and execute trading algorithms with AI assistance. This approach allows individuals to engage in algorithmic trading without needing any coding skills.
Customers
The primary users of Composer are retail investors, financial enthusiasts, and individual traders who are interested in algorithmic trading but lack coding skills or extensive trading experience.
Unique Features
The no-code drag-and-drop editor and the integration of AI for building and customizing trading algorithms are unique features of Composer. Additionally, the ability to backtest and execute strategies all on one platform sets it apart.
User Comments
User comments are not available in the provided information and couldn't be retrieved from the specified sources.
Traction
No specific data on product version, user numbers, MRR/ARR, financing, or newly launched features were provided or available through the specified links.
Market Size
The global algorithmic trading market size was valued at $12.22 billion in 2020 and is projected to reach $24.73 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 10.5% during the forecast period.