01
Explainable backtesting
Run historical simulations with explicit fees, slippage, risk and data-quality context.
Metrics, equity, drawdown and every simulated trade remain traceable.
Inspect this layer Market research infrastructure
An explainable trading research platform for backtesting.
Validate datasets, run transparent backtests and map robust parameter zones without losing the assumptions behind each result.
Research tools only. Historical simulations do not predict future performance.
Research pipeline
BTC/USDT EMA cross study
- Dataset
- Quality check
- Rule set
- Report
Coverage
99.4 %
Scenarios
216
Datasets
8
Simulated equity +24.0 %
Data domains available in the research catalog
- Binance
- Polymarket
- Candles
- Trades
- Event outcomes
Source names describe available data; they do not imply sponsorship or endorsement.
One connected workflow
Three research layers, one evidence trail.
Start with the data, test a rule set, then examine whether results hold across neighboring parameters.
02
Sweetspot analysis
Compare controlled parameter grids instead of optimizing a single isolated result.
Heatmaps, rankings and neighboring scenarios reveal robust and fragile zones.
Inspect this layer 03
Research-ready datasets
Select covered market datasets with visible freshness, gaps, schema and export format.
Binance and Polymarket products share one quality-first catalog.
Inspect this layer Research workflow
Every result keeps its path back to source data.
A guided sequence keeps quality checks, rules, assumptions and comparisons connected.
- 01
Select the dataset
Choose source, asset, interval and data type.
- 02
Validate coverage
Review freshness, gaps and requested time range.
- 03
Define the rule set
Build inspectable entries, exits and risk rules.
- 04
Run the simulation
Apply capital, fees, slippage and execution assumptions.
- 05
Compare evidence
Inspect trades, drawdown and neighboring parameter zones.
Backtesting
A report you can interrogate, not just a return number.
Results connect performance to trades, market-data coverage and the assumptions used for the run.
Trade-level explainability
Trace every entry, exit and rule trigger.
Visible cost assumptions
Keep fees, slippage and capital beside the result.
Repeatable run history
Reopen reports and compare the same inputs later.
Backtest report
EMA cross · BTC/USDT · 1h
Net return
+16.8 % +4.2 %
Max drawdown
−4.8 % −0.9 %
Trades
248 +18
Coverage
99.4 % +0.3 %
Equity+16.8 %
Drawdown−4.8 %
| Trade | Side | Entry | Exit | Result |
|---|---|---|---|---|
| T-0248 | LONG | $67,420 | $68,905 | +2.20 % |
| T-0247 | SHORT | $66,980 | $66,340 | +0.96 % |
| T-0246 | LONG | $65,870 | $65,410 | −0.70 % |
Sweetspot analysis
See the stable zone around a parameter result.
Compare combinations as a surface, rank scenarios and inspect how quickly a result changes around its strongest area.
Parameter surface
EMA fast × EMA slow
| 18 | 24 | 30 | 36 | 42 | |
|---|---|---|---|---|---|
| 6 | |||||
| 9 | |||||
| 12 | |||||
| 15 |
Sharpe ratioLow 0.82High 1.67
Parameter grid
- Fast period
- 6–15
- Slow period
- 18–42
- Combinations
- 20
- Metric
- Sharpe
| Rank | Fast | Slow | Sharpe | Drawdown |
|---|---|---|---|---|
| 1 | 12 | 30 | 1.67 | 4.3 % |
| 2 | 12 | 36 | 1.55 | 4.1 % |
| 3 | 9 | 30 | 1.52 | 4.8 % |
Dataset catalog
Eight available data products, with quality in view.
Browse market and outcome data by source, asset, interval and type before opening a research run.
BTC/USDT
Binance · BTC/USDT · 1m
Coverage99.4 %
99.4 percent coverage with 1 known gap- Format
- CSV
- Rows
- 3.4M
ETH/USDT
Binance · ETH/USDT · 1m
Coverage99.8 %
99.8 percent coverage with 0 known gaps- Format
- CSV
- Rows
- 3.4M
Polymarket BTC · 5m
Polymarket · BTC Up / Down · 5m
Coverage99.1 %
99.1 percent coverage with 1 known gap- Format
- CSV
- Rows
- 1.2M
Polymarket BTC · 15m
Polymarket · BTC Up / Down · 15m
Coverage99.6 %
99.6 percent coverage with 0 known gaps- Format
- CSV
- Rows
- 408K
Polymarket ETH · 5m
Polymarket · ETH Up / Down · 5m
Coverage98.8 %
98.8 percent coverage with 1 known gap- Format
- CSV
- Rows
- 1.1M
Polymarket ETH · 15m
Polymarket · ETH Up / Down · 15m
Coverage99.3 %
99.3 percent coverage with 1 known gap- Format
- CSV
- Rows
- 397K
Polymarket SOL · 5m
Polymarket · SOL Up / Down · 5m
Coverage98.5 %
98.5 percent coverage with 1 known gap- Format
- CSV
- Rows
- 986K
Polymarket SOL · 15m
Polymarket · SOL Up / Down · 15m
Coverage99.0 %
99 percent coverage with 1 known gap- Format
- CSV
- Rows
- 351K
Built for repeatable analysis
Select a time range and export a documented schema when you move from discovery to analysis.
CSV Schema checked
Data quality and methodology
Make uncertainty visible before interpreting performance.
Coverage, gaps and test assumptions remain part of the research record instead of disappearing behind a headline metric.
Coverage before calculation
Requested ranges are checked for missing or stale observations before a run.
Assumptions beside results
Fees, slippage, capital and risk settings travel with each report.
Reproducible inputs
Dataset, rule snapshot and parameter set identify the evidence behind a result.
Limits stated plainly
Historical simulations describe the selected data and assumptions, not future outcomes.
Data preflight
BTC/USDT spot candles · 1m
- Requested range
- 2021-01 → 2026-07
- Last candle
- 2026-07-31 23:59 UTC
- Detected gaps
- 1
Range coverage99.4 %
99.4 percent coverage with one known gap around 62 percent of the requested rangeCoverage is evaluated for the requested range; known gaps and run assumptions remain attached to the research record.
Workspace access
Pricing
Choose how much strategy research you want to keep active.
Free
Explore the builder
- Create visual strategies
- Run starter backtests
Free Get started
Pro
For active strategy research
- Batch backtests and exports
- Priority data repair
This plan cannot currently be started online.
$29 / Monthly
Lifetime
One-time research access.
- No recurring subscription
- Extended strategy history
This plan cannot currently be started online.
$799
Enterprise
Custom setup for research teams
- Custom market-data limits
- Team onboarding
Prices shown in USD. Checkout and trial details appear only when the corresponding option is available.
Research questions
Frequently asked questions
What to know before you start a research run.
Important risk information
Backtests and sweetspot analyses are hypothetical simulations based on historical data and selected assumptions. They can omit market effects and do not guarantee future results. Umbre Trading does not provide investment advice or execute trades.
MethodologyStart with the evidence
Build the next research run on data you can inspect.
Connect a rule set, a quality-checked dataset and a transparent report in one workspace.