Verdict
Spikeet is worth considering if you have a defined strategy hypothesis and want to test it in a spreadsheet without writing code. If you are still exploring what to trade, Spikeet is probably premature.
- 15 years of historical data with automatic daily updates
- Subscription-based pricing; cost depends on data pulled, rows, columns and the charting add-on
- Mixed feedback on data quality: verify a sample against a source you trust
Spikeet is a historical financial data platform for traders who want to test setups against 15 years of market history.
If you trade small caps, gappers, or momentum setups, you may have a pattern you want to test but no quick way to check it against years of data. Spikeet is built for that job. Steven Dux has also discussed the platform on YouTube.
How Spikeet Works
Spikeet provides historical stock, options, and market data. It is separate from brokerage software and traditional charting platforms.
The platform brings technical data, fundamentals, SEC filings, indicators, and volume statistics into custom spreadsheets. You choose filters such as market cap, float, gap percentage, and volume. Spikeet then queries its database and returns the results in a spreadsheet.
The basic workflow is straightforward: define a trading hypothesis, test it against historical data, and risk real money only after you have evidence that the pattern worked before. That approach suits traders testing gap-and-go setups, float rotation, earnings reactions, and other repeatable patterns.
What Spikeet Includes
- No-code data pulls. You do not need Python or SQL. Choose your filters and Spikeet builds the spreadsheet.
- 15 years of historical data. The platform also provides automatic daily updates.
- Charting tools. Charting is available through a separate add-on tier.
- Advanced filtering. You can filter across technicals, fundamentals, indicators, and volume metrics to define the stock universe for your strategy.
You could use Spikeet to ask a question such as: how often does a stock that gaps more than 30% with a float below 10 million shares continue higher the next day?
That is the type of question the platform is designed to answer.
Where Does Spikeet Fall Short?
Spikeet's main drawbacks are its cost, mixed feedback on data quality, and the time required to learn the platform.
Reviews from Day Trade Review and traders in r/Daytrading raise similar concerns.
Pricing is subscription-based. The cost depends on how much data you pull, the number of rows and columns in each request, and whether you add charting. For a solo trader who is still testing a strategy, the bill can rise quickly compared with free or low-cost alternatives.
Data quality has received mixed feedback. Traders on Reddit and other forums have reported inconsistencies in historical data, especially around corporate actions such as stock splits. Spikeet says its data is adjusted for splits and dividends. Even so, verify a sample against a data source you already trust before using the results to make capital-affecting decisions.
The learning curve takes time. No-code removes the need to write code, but it does not remove the work of designing good filters. Building a query that isolates a useful pattern instead of producing a noisy spreadsheet takes practice. The source material estimates that this process can take a few weeks.
Who Is Spikeet For?
Spikeet fits traders who already have a specific, repeatable setup they want to test.
It is a good fit for:
- Traders testing gappers, low-float momentum setups, earnings reactions, or similar patterns across years of market data.
- Traders who are comfortable working in spreadsheets and want control over the data without writing code.
- Traders who already have a clear hypothesis and need a validation tool.
Spikeet is less suitable if you are still deciding what type of setup to trade. It is also a weaker use of your budget if you still need basic execution, risk management, or journaling tools.
How Should You Use Spikeet Data?
Backtesting can show whether a trading edge appeared in historical data. It cannot show whether you execute that edge consistently in live trading.
That is where a trading journal helps. Import your fills, tag each setup, and compare your live P&L with the results from your backtest. If your gapper strategy performs well in historical data but poorly in your account, review your execution. Oversizing, revenge trading after a loss, and exiting winners too early can create a gap between the tested strategy and the one you trade.
The data may be part of the problem, but your process needs to be tested too.
Bottom Line
Spikeet is worth considering if you have a defined strategy hypothesis and want to test it in a spreadsheet without writing code. Before paying for a plan, pull a sample, compare it with a trusted data source, and check whether the results are consistent enough for your use case.
If you are still exploring what to trade, Spikeet is probably premature. Build the hypothesis first, then decide whether the platform can answer the question.