One of the most interesting fields where AI adoption has marked remarkable success is stock trading. Due to their complexity and chaotic character, financial markets are very intricate structures that often turn out to be extremely hard to predict.
Thanks to artificial intelligence stock trading software, trading is now at a whole new level – more professional and advanced strategies are applied easily and comfortably, even by beginners when using an AI stock trading app.
Thanks to AI stock software, nowadays, AI based trading is brought to a whole new level – more professional and advanced concepts are applied quickly and comfortably, even by beginners.
Transparency: We may get compensated when you click on links in this article.
Best for AI Stock Trading
- Best AI Stock Trading Software: Trade Ideas (15% Off code DAYTRADINGZ)
- Best Stock Trading Bot with AI Pattern Recognition: TrendSpider (50% Off)
- Best AI for Options Trading Analytics: BlackBoxStocks (50% Off)
Here are 10 of the most popular AI trading solutions, from free AI trading software to AI trading bots and AI for options trading systems.
1. Trade Ideas
If you are looking for the #1 innovator in the best AI trading software business who got into AI stock trading software development before anybody else in the retail trading segment, Trade Ideas is ahead of its competition.
Ten years ago, the company focused on being an innovator and developing the best stock scanner for day traders, and it has had tremendous success. Even today, competitor products try hard to provide solutions close to Trade Ideas scanning features.
About five years ago, Trade Ideas introduced their AI algorithm and named it Holly, long before Google Bard, Microsoft Azure AI and ChatGPT got that popular.
So, they have a head start, and it is no surprise that their AI bots and AI scanner technologies perform well. Users can let AI algos scan the market for the best-working trading strategies, backtest thousands of scenarios, and connect Trade Ideas directly with Interactive Brokers and E*Trade for automated trading by using one of the best automated trading platforms.
If you want to learn more about all features, please consider reading my Trade Ideas review, which explains all features in detail, including the best pre-defined scanner layouts, trade alert filters and charting tools.
Access to Trade Ideas Premium with all AI features costs $254 monthly or $2,136 annually, while the Standard plan costs $127 in the monthly plan, or $1,068 annually.
Trade Ideas Black Friday Sale: 25% Off with promo code DAYTRADEZ252. TrendSpider
TrendSpider implemented impressive AI trading capabilities, enabling you to scan for trading based on AI analysis and transmit trading signals to AI trading bots. TrendSpider simplifies the trading process and automates the analysis by providing AI trading platforms with exceptional charting technology, scanning and automation. It is also great for technical analysis and for developing trading strategies, especially if you are into stock trading.
Features
- Specialized tools for technical traders
- Multi timeframe analysis
- Backtesting
- Trading bots
- Game-changing automation tools
- Smart watch lists
- Options flow and dark pool data
The AI tool for trading navigates you toward the most profitable trading opportunities by highlighting trade entries and exits on the charts for the instruments on your watchlist.
Trend Spider belongs to the most comprehensive and widely popular analysis tools, with some of the first AI trading software features. TrendSpider provides technical analysis assistants with a fully customizable engine for more professional trading.
Recently, the TrendSpider team published a great tutorial on how to use ChatGPT to identify the best AI trading strategies, which included guidance on how to validate profitability by using the backtesting feature (is it the best backtesting software?).
Trendspider has three subscription plans, the Standard, Enhanced and Advanced plan. Monthly, they cost between $107 and $47, or annually between $1,284 and $5,364.
TrendSpider Black Friday Sale: 65% Off + Free Trial3. BlackBoxStocks
BlackBoxStocks started in 2014, and ever since, they have offered one of the best algo trading software solutions that use algorithms and artificial intelligence to filter noise out of the market. As a result, their proprietary algos come up with real-time-based trading decisions and alerts.
AI trading management technologies are currently at a level where, within BlackBoxStocks, generated trade alerts can be automatically transmitted for trade execution. In addition, BBS announced the launch of their proprietary StockNanny beta program, an AI-driven portfolio alert innovation with real-time market data from Nasdaq.
BlackBoxStocks is by far more than at the beginning. They added extensive scans for the options market. Users can even scan for dark-pool activities.
Besides the access to the stock screener, subscribers also gain access to a chat room, where real-time trade alerts are posted. One thing I like a lot about it is that only large-cap stocks are traded. This way, members can duplicate trades easily.
Full access to BlackBoxStocks costs $99.97 per month.
BlackBoxStocks Black Friday Sale: 32% Off + Giveaway4. SignalStack
SignalStack helps traders easily convert trade alerts to a buy or sell order routed via the brokerage account to the stock exchange. Users can create trading bots using TrendSpider and connect to SignalStack for automated trade executions.
SignalStack greatly automates the whole order flow, and it’s highly reliable. Supported trading-signal generating tools include TrendSpider, TradingView, and IFTT, and many brokerages can be connected, ranging from TD Ameritrade and Interactive Brokers to E*Trade, TradeStation and ByBit, to Alpaca, Lime and Tradier.
Some of the core features include:
- Flexible order types from market to limit orders
- Detailed trade logging
- Fast order transmission.
- Automated trading and risk management
SignalStack is an interesting option for AI trading without coding. However, it is not necessarily the best AI trading software due to the high costs per trade. Those costs can add up quickly, which makes it more suitable for those who want to test if AI trading is a good choice. Active traders consider other AI trading systems integrated into a more advanced trading platform.
5. Tickeron
Tickeron is a marketplace that provides various AI trading tools and AI stock trading apps to traders and investors. Everything began with the official product Divscore, where AI helped investors analyze their portfolios by a diversification score.
After further progress and with the help of state-of-the-art AI technologies, the company made further progress in AI trading systems and enhanced trading strategies with real-time data analysis. It began building real-time AI-trading robots to deliver entry and exit signals based on proprietary algorithms.
As of today, first-generation AI robots on a “trading signals only” base are available with statistics on closed trades and real-time alerts for new trades. Users can connect the AI robot with a virtual portfolio and use AI trading tools with advanced money management capabilities.
The third and fourth generations of AI robots are under development, where you can trade with real money and connect the Tickeron with a brokerage account.
Access to all AI Robots with the currently developed features costs $180 per month.
Once available with both real time data and brokerage account connections, I’ll review the product in more detail. Until then, Trade Ideas remains the leading artificial intelligence stock trading software with fully implemented live-trading features.
6. MetaStock
Metastock is a well-known stock market trading platform that offers many products such as MetaStock D/C, MetaStock R/T, and now an AI stock trading engine developed explicitly for trading. MetaStock’s product line was expanded by Fulgent AI, which comes with hundreds of trading indicators, cross-market measurements, and four types of trading signals.
The stock trading tool let’s you define trading strategies, and apply advanced technical analysis.
The software identifies when a stock is oversold to spot major market reversals but also identifies reversion swing trade, along with trained algorithms for 3-day moves and volatility breakouts. The price tag of MetaStock Fulgent AI is on the higher end at a $1,995 one-time fee or $1,609.20 annually.
7. Imperative Execution
Imperative Execution sees itself as the first venue to use artificial intelligence to optimize trading performance by optimizing trade executions and minimizing market impact caused by order flow. To achieve this, they use powerful hardware and high-memory servers to transmit multiple transactions simultaneously.
The company currently executes over 256 million orders per day, with an average response time of 15.6 milliseconds, supporting over 50 major brokerages with a total displaced daily order value of $567 billion. This is the real power behind automated trading.
Their IntelligentCross AI Cycle matches orders at suitable times within microseconds to ensure price stability. The calibration AI cycle enables venues to adapt to new market trends and conditions and improve continuously.
Seamlessly, from any algorithm like percentage of value, liquidity seeking or volume weighted average prices, all major order types are useable, from limit orders and market orders to peg, tif and display orders, but also with order qualifiers like Iceberg or ALO.
While this AI tool is not for retail investors, surely many investors benefit from this AI technology.
8. Quantum Street AI
Quantum Street AI develops wealth management and investment solutions by using IBM Watson. The artificial intelligence-based tool is only available to professional investors but not retail traders.
The data set includes over 50,000 analyzed companies and asset classes in 13 global languages. Machine learning algorithms help to efficiently plan for the trading process, independently from the trading platforms you use.
You might know the service in conjunction with the brand EquBot. Since EquBot is now an SEC-registered investment advisor, the non-advisory institutional offerings are now available with a separate brand – Quantum Street AI.
Official pricing information is not available on their website.
9. Kavout
The team behind Kavout has over two decades of machine learning and big data processing experience, which helped the company become a leading research-driven big data processor for financial data.
Kavout aims to identify nonlinear, dynamic, and hidden financial markets and market behavior by utilizing the latest machine learning and AI methods. It also provides three products to its clients as web-based AI trading app.
The three Kavout products are the Portfolio Toolbox for private investors and investment advisors, an AI trading platform (with a multi-factor screener, portfolio diagnosis and a portfolio builder), a Signal DB database for financial analysis and quants, and machine learning solutions for asset firms and institutions.
The costs for the retail Portfolio Toolbox are $7 for the first month and then $49 monthly (with US stock market data only).
10. StockHero
StockHero offers an intelligent stock trading bot with an impressive win rate of approximately 90%, based on their published statistics. Designed to cater to traders of all experience levels, StockHero makes it easy to trade like a pro by providing AI trading bots that can be deployed in minutes, with the aim of removing the guesswork from trading.
The AI tool can be used as a web and mobile app. StockHero enables users to automate their trades with leading brokerages (e.g., TradeStation, Webull, Tradier), with an user-friendly interface.
For beginners, StockHero offers a white glove service for personal walkthroughs, a risk-free paper trading feature, and an AI ChatBot for guidance. Experienced traders can take advantage of advanced features like TradingView integration, Strategy Designer, and fast backtests. Automated trading is also possible, which can be helpful for day traders and high frequency trading.
Best AI Stock Trading Software – My Conclusion
There are pros and cons of artificial intelligence, but there are plenty of ways to employ AI stock trading software and become a better trader. However, designing a truly efficient algorithm is a daunting and resourcefully extensive process.
That is why the best way to proceed is to try one of the ready-made solutions on the market and kick-start your artificial intelligence powered trading methodology. Trade Ideas is the #1 AI based stock screener out there, perfect for spotting trading opportunities, with integrated algorithmic trading capabilities.
See Also: Best Stock Research Websites
How AI Trading Software Works
The idea behind artificial intelligence stock trading software is to help traders like you and me enhance the buying and selling process by making trade executions faster and trading strategies more efficient.
Only a few trading platforms offered by brokers have integrated AI trading tools or enable traders for algorithmic trading. That’s why additional AI trading software can be highly beneficial for analyzing market trends and historical market data to come up with automated trading strategies, AI trading bot suggestions, or investment strategies.
Machine learning with natural language processing has enormous potential to ease the way trading is done by analyzing large amounts of data points and spotting relevant price and chart patterns to finally indicate where to enter and exit the market.
Algo-based trading mechanisms follow a straightforward and unified methodology, while in practice, it is a little bit more complex but can be simplified in the following three steps:
Gathering the Data
Financial data is often considered a chaotic structure. However, what is typical for chaotic structures and processes is that past events can massively influence the present and future. This means that historical data can be an excellent source for predicting the price movement of a particular instrument, like stocks or currencies.
However, sometimes it may be hard for the algorithm to find sustainable patterns in the data, so it should be fed with as much unbiased information as possible within the artificial intelligence stock trading software to evaluate the best possible outcome and trading signal.
To make AI trading profitable, it’s crucial that human traders do their due diligence. The AI can help develop trading strategies to analyze market sentiment or an optimized trading strategy for automated trading, but only human traders can keep the oversight utilizing the AI to make informed trading decisions, but always with the requirement of checking the outcome.
But let’s go back to the process of creating the trading algorithm. After gathering the data, it is important to organize the data in the pathway to algorithmic trading.
Organizing the Data
The way artificial intelligence stock trading software solutions work does not differ that much from the approach human analysts usually employ when analyzing stock market data by hand. This holds true for active traders and experienced traders, as well as beginners.
The next logical step after the data is gathered is to organize and divide it into groups. Usually, there are two sets of data – a training set and a test set.
So, before the algorithm is tested on live trading platforms, it needs to be trained and fine-tuned, which is what the training set is for. After the algorithm is calibrated, it is put into action with the test set within the AI trading software.
Each trading strategy has to be tested separately, no matter what AI trading platform is used and independently whether it should be used for automated trading, algorithmic trading, manual trading, or other trading styles.
Constructing the Trading Algorithm
The idea behind the algorithm is to help us predict the price movement of the asset that interests the trader. In reality, there are a bunch of ways to build a predictive algorithm. However, most of them usually try to simplify the problem as much as possible and then follow a two-class model based on the following factors – signal and predictability.
The first factor indicates whether a price increase or a decrease is expected, while the latter reveals the confidence behind that indication. After the algorithm runs through the data sets and generates an output, the trader can easily filter the most predictable and best-performing instruments in the list and trade those with the highest signal strengths.
Time to Make Money With AI Algorithms?
I wish it were that simple. Although most artificial intelligence stock trading software solutions and AI trading bots follow a logic similar to the one mentioned above, building an efficient and high-performing algorithm on your own takes a lot of work and is highly complex and expensive. There are plenty of reasons for that – from the fact that the stock market is:
- a highly complex, multi-dimensional structure with lots of interdependencies that should be taken into account through
- the need to have advanced programming skills,
- to the continuous maintenance and fine-tuning of the algorithm.
In reality, a well-performing algorithm will be successful in at least 85% of the trades. However, once reaching that level, the trader may lose money.
If you consider using ChatGTP to ask for the best trading strategy, it might be a good start since the algo will research existing freely available content to identify viable trading strategies. However, it takes much more work to validate, backtest, and forward-test a strategy before it goes live.
That is why it is often better to take advantage of a ready-made solution that has been tested by plenty of other investors and has proved successful.
Apart from not wasting money on developing your propriety trading algorithm, you will benefit from more advanced, high-end technology.
To help you with the search for suitable artificial intelligence stock trading software, here are three of the best-performing and most popular solutions on the market for traders.
Can I Automate Trading Strategies Using Broker Trading Platforms?
Yes and no. All broker platforms can be used to analyze market trends, market sentiment, global markets and market conditions, but only a few offer advanced capabilities to train AI models, conduct real time market scanning, and utilize generative AI technologies or machine learning algorithms.
The reality is that in trading, AI is still at the beginning. It is more of a time saver for those who want to create trading strategies or come up with AI trading software based trade ideas. AI is also great for crunching historical data, but you can’t tell the AI to create a profitable trading system and then expect to make a fortune.
A trader can connect their AI tools with the trading platform and let trading bots do their work, but everyone, including experienced traders and professional traders, will always have to proceed with research, optimize trading bots, analyze future market trends, do sentiment analysis and focus on risk management and portfolio management.
