What you will find here
Tools built for serious traders, not decorative marketing.
Useful from your first visit: concrete proof, a short tour of the product, and a quick path to research, notifications, and the platform.
Product preview
Historical context, grouped analysis, and a direct way into the platform.
30+Y
market history
Probability
target and timing context
Live-ready
notification workflow
Historical limits
See target reach, deviation, and timing context before the trade
Measurable market context, not buzzwords.
Grouped research
Compare volatility, gaps, weekdays, and regime filters quickly
Grouped analysis makes the data easier to read and more useful for real decisions.
Backtest review
Inspect trades, drawdowns, and weak periods with visible proof
Here you get a preview of the same transparency you will find in the platform after login, losing trades included.
Your next steps
- Try it free if you want to explore the product before committing
- Go straight to the platform if you already know the workflow
- Move on to notifications, research, and live review without losing context
30+ years
historical market context
Read the setup across calm, stress, and trend regimes instead of relying on a recent chart snapshot.
Probability
target and timing context
Historical likelihood matters when you choose exits, strikes, and capital allocation.
Trade-level
backtest transparency
Inspect entries, exits, losing trades, drawdowns, and weak periods before trusting the edge.
Platform-ready
notification and monitoring flow
Move from research into live review with the same tools and the same language.
Built on real MetricAlgo capabilities
Why the data matters before you trade.
Historical limits, grouped research, transparent backtests, and options-specific workflows: see what the platform does before you even log in.
Historical limits
See what price has done before guessing what comes next
Start from historical reach, threshold probabilities, and timing context instead of vague market hype.
Grouped research
Compare the market through filters that traders actually use
Grouped analysis by volatility, gaps, weekdays, months, and regime makes the data more useful than one isolated chart.
Transparent backtests
Proof you can see, not abstract claims
Strategies, trades, drawdowns, and weak periods are all open to inspection, losing trades included. That says more than generic performance claims.
From research to action in the platform
Follow the same logic the product uses.
Start with historical context, validate the setup, then carry the decision into notifications, strike selection, and monitored execution.
01
Read the market
Start from historical context and price behavior
Frame current conditions against historical limits, standard behavior, and similar cases before a trade is even planned.
02
Validate the setup
Compare research views, filters, and backtests
Compare strategies, inspect backtests, and filter cases before you put capital at risk.
03
Move into action
Carry the context into notifications and monitoring
Continue in the live platform with notifications, strike selection, and operational review, without losing context.
What waits inside
A preview of the workflow you will use inside.
Real working modules: limits analysis, research filters, notification monitoring, and decision support connected to the original setup.
Limits analyzer
Target reach, deviation, and timing context
Multi-matrix views help you evaluate whether price is likely to reach or miss a level inside a chosen period.
Historical stats
Grouped filters, sequence logic, and At Now context
Historical Stats Tools modules let you compare current behavior against similar historical conditions and grouped regimes.
Options workflow
Strike context, monitoring, and execution readiness
Your options decisions stay connected to probability, backtest proof, and ongoing monitoring.
Products
The MetricAlgo platform family, in concrete terms.
What is live now, what deepens your research, and what extends the workflow toward execution.
Available now
MetricAlgo Options
Options workflows built around statistical limits, transparent backtest review, and active notification monitoring.
- Historical limits and threshold-driven market framing
- Trade-level backtest inspection with visible risk and timing
- Notifications designed for monitoring and follow-through
Research foundation
Historical Stats Tools
Historical-statistics research for exploring market behavior, validating ideas, and building conviction before execution.
- Long-range pattern exploration across historical data
- Grouped analysis by volatility, gaps, weekdays, and more
- A clearer understanding of how markets behave through time
Expanding next
MetricAlgo Direct
Coming next: a path toward execution, built on the same research, review, and monitoring foundation.
- A stronger bridge from research into direct action
- Consistent language across notifications and workflows
- An expansion path that still feels grounded in data
Key pages
Start with the core analysis tools.
No generic promises: these are the tools that make MetricAlgo useful.
Feature page
Limits Analyzer (Multi-Matrix)
A probability-first view of whether price is likely to reach or miss a level inside a chosen period, with historical occurrences to add weight to the result.
- Read target reach and miss probabilities with historical occurrence counts
- Support strike selection with historical context
- Compare regimes, volatility, and gap behavior in one place
Product page
Historical Stats Tools
A broader historical research layer for grouped metrics, sequence analysis, At Now context, and a deeper understanding of how price behaves through time.
- Grouped limits analysis by metric in one dashboard
- At Now and price-mood style context for current market state
- Historical filtering for validating intuition against past cases
Trading use cases
Concrete cases, real decisions.
Specific examples show how the analytics translate into everyday trading decisions.
Discretionary trader
Validate an exit target before closing too early
Historical limit analysis helps frame how often price has continued or retraced under similar conditions, reducing emotionally driven exits.
Outcome
The trader gets a probability-weighted view of target achievement instead of relying only on fear or intuition.
Options seller
Choose strikes with historical probability support
The options workflow becomes more useful when strike selection includes historical reach, timing context, and evidence about how rarely a level has been crossed.
Outcome
Strike choice feels more disciplined because it is anchored to market history and not only to broker pricing.
Research-driven trader
Compare grouped cases before risking capital
Filter historical cases by volatility, gaps, days, months, and related metrics to check whether a current setup deserves exposure.
Outcome
The user moves from a generic idea to a historically filtered setup with clearer conviction.
Ready to explore the data?
Start free, enter the platform, and keep working with real context.
Free access to explore, direct entry if you are already a user, and clear paths to research and notifications.
Try free first
Explore the product at no cost before you decide to commit.
Enter the platform fast
Already know you want the dashboard and notifications? Log in and go straight there.
Real features
Historical probabilities, grouped research, and options workflows, not generic fintech language.