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Spikeet Review
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Value
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Ease of Use
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Quality
Summary
Spikeet is a stock data platform designed to allow users to create custom spreadsheets with up to 15 years of historical data. Speekit’s features include the ability to build financial models, backtesting capabilities, data requests, charting, and more. Learn everything you need to know about this platform by reading our complete Spikeet review.
Pros
- Historical data going back 15 years
- Search for data based on intraday timeframes
- AI enables you to create requests and indicators without coding
- Outputs data to spreadsheets for further analysis
Cons
- Very expensive subscription
- Many traders may be better off with a backtesting tool
Spikeet is a stock data platform that enables you to create custom spreadsheets with up to 15 years of historical data. You can use the platform to build your own financial models, backtest trading strategies, or even find swing trading and active investing opportunities.
Spikeet is pricey, so is this data service worthwhile? Keep reading our Spikeet review to find out.
Spikeet Pricing Options
Spikeet offers a free plan that’s mainly useful for testing out the service. You can make unlimited requests for data up to 1 year old, but you’re limited to 4 filters and 20 results per request.
Spikeet offers two paid plans. The Trader plan is paid monthly at $299 per month. It includes up to 8 years of historical data and up to 6 filters and 2,000 results per request.
The Quant plan is paid annually at $3,000 per year. It offers 15 years of historical data and unlimited filters and results per request. You also get the ability to download data tables, an Excel plug-in, and full access to Spikeet’s charting capabilities.
With the free or Trader plans, you have the option to add a charting package to Spikeet. The Analyze plan costs $50 per month and lets you view up to 50 charts per data request. The Chartist plan (included with a Quant subscription) costs $99 per month and lets you view unlimited charts.
Spikeet Features
Data Requests
There are several ways to make a data request in Spikeet.
The simplest way is to start with one of the platform’s 11 templates. The templates are focused on active trading opportunities, including stocks hitting new 52-week highs, OTC stocks gaining 100% or more in a day, and small-cap stocks gapping up 20% or more at open. You can customize the templates by modifying the date range for which you want data, modifying the filters, and modifying the columns in the resulting data table.
If you want to create your own data request, you can start from scratch. Here’s a rundown of the available filters:
- Identity: Security type or ticker symbol(s)
- Daily: Exchange, open, close, high, low, volume, number of trades
- Intraday: Price filters between trading hours you choose
- Indicators: Volume, VWAP
- Fundamental: News, earnings report, outstanding shares, market cap
You can also create your own custom filters using code. Spikeet uses AI so that you can type your filter with words and it will automatically turn it into code.
Another way to make a data request with Spikeet is to simply type what you’re looking for. The platform’s AI will turn your words into a series of filters. For example, you can enter “Stocks that traded above $1 and gained 10% or more in a day with trading volume greater than $25 million between January 1, 2024 and today.”
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Data Tables and Charts
Spikeet outputs data from your request into a Zoho Sheet spreadsheet that opens in a new window. You can sort, filter, format, and apply formulas to the spreadsheet using all of the tools available in Zoho Sheet. You’ll need a Quant plan to download the spreadsheet, but you can copy the data into another spreadsheet with a Free or Trader plan.
You can also view your results as mini-charts from TradingView. This can be helpful if you use Spikeet like a stock scanner to find active setups. It’s also nice if you’re building a trading strategy and want to make sure that your request filters are effective at finding strong setups.
The mini-charts are a nice touch if you have a Quant subscription, but they’re likely not worth paying for as an add-on to a Free or Trader plan.
Customization and Layout
Every data request you make in Spikeet is saved so you can access it again in the future. You can update requests with a click, which is helpful for requests focused on active setups rather than older data. You can also save data requests as templates, then build off of them in the future.
You can save your most-used data requests as favorites and trash requests you’re no longer interested in to keep your workspace clean. Spikeet also lets you file your data requests into folders, which is helpful for staying organized.
Spikeet Platform Differentiators
Spikeet stands out for enabling you to make detailed requests for historical stock data. You can dive much deeper than simply getting information about a stock’s open, close, high, low, or trading volume on every day in a data range.
With Spikeet, you can narrow down your request to see stocks’ price activity during certain intraday hours (for example, 1-4pm) or on days when they had earnings reports. You can also use it to collect data about setups for your trading strategy that happened in the past. While backtesting tools provide some data about past setups, you don’t get nearly the same level of information as Spikeet offers.
Another unique aspect to Spikeet is that data is output into spreadsheets, enabling you to do more with it. You can create custom formulas to filter or highlight price action, for example.
The biggest drawback to Spikeet is that the platform doesn’t provide many indicators to help you find stock data around specific trading strategies. You can’t easily make a request for price data around, for example, moving average crossovers or MACD crossovers. There also aren’t many fundamental metrics, so it’s difficult for long-term investors to use this platform effectively.
What Type of Trader Is Spikeet Best For?
Spikeet is best for a very specific purpose: collecting historical data about stocks based on price, time, and other filters.
Spikeet is most helpful if you want to create your own backtests or dive deeper into historical setups than most backtesting tools allow. It’s also good if you want to move data from an online scanner into a spreadsheet so that you can run custom analyses.
Traders interested in using Spikeet to backtest strategies may be better served by a strategy backtesting tool like TradingView, TrendSpider, or Trade Ideas. These platforms use historical data to test how a trading strategy would perform, but you don’t have to dive into the historical data yourself.
If you mainly want historical price data, including daily open, close, high, and low prices, you can get that from many services. NASDAQ offers this data for all stocks on its exchange for free, for example.
In addition, if you primarily want to find active setups for your trading strategy, you may be better served with a stock scanner. FinViz has an excellent free stock scanner that includes more filters than Spikeet and similarly enables you to view your scan results as miniature technical charts.
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