Visual trading strategy builder

Umbre Trading

Build trading ideas visually, validate them against market data, and keep strategy logic readable before you run a backtest.

Strategy builder
Trading and logic blocks on the same canvas
Workspace
Blockly strategy

EMA Breakout Scout

Trading action with a cross condition

+12.9%
Return
Trading
Buywhen
indicator_condition
chart_condition
indicator_rsi
Logic
EMA cross template
Buywhen
condition
trading_action
Buywhen
condition
trading_action
Buywhen
EMA 9
crosses above
EMA 21
cross_condition
trading_action
Sellwhen
EMA 9
crosses below
EMA 21
cross_condition
trading_action
Buy
Sell
+
-
1m
Timeframe
3.1%
Max DD
EMA 12 crosses above EMA 36
Trigger

Builder to backtest

Strategy logic should be easy to inspect before it produces a number.

Keep the visual builder focused on rule logic, then move the same strategy through data checks and backtest review without losing context.

Readable logic
Every entry and exit condition stays visible before a run.
Market data first
Coverage and gaps are checked before trusting results.
Backtest next
Promote only after drawdown and trade history review.

Rule draft

The same setup as a compact checklist.

Ready to test
Entry
Buy when EMA 12 crosses above EMA 36
Exit
Sell when EMA 12 crosses below EMA 36
Scope
BTC/USD, ETH/USD on 1m candles
1m
Timeframe
BTC/USD
Primary market
Queued
Backtest state
Trading research toolkit

From clean data to explainable backtests

After the rule is built, the product work is validating the market data, running the test, and keeping the result inspectable.

Market data checks
Data
Coverage
BTCUSDT 1m has 99.4% candles available
Freshness
Latest candle updated 42s ago
Open gaps
8 missing windows queued for review

Market data checks. Know whether the data is ready before a run.

Inspect coverage, freshness, gaps, and exports so backtest results are based on known market data instead of silent assumptions.

Coverage first

Check whether the requested market and timeframe have enough candles before testing.

Gap visibility

Open gaps and stale candles are surfaced as data quality issues, not hidden in reports.

Reusable exports

Export covered candle ranges for repeatable analysis outside the browser.

Backtesting workspace
Backtest
+18.4%
Net return
4.8%
Max drawdown
248
Trades
99.8%
Coverage

Backtesting workspace. Test ideas against historical market data.

Run structured backtests, inspect simulated trades, and use the results to separate plausible strategies from noise.

Historical validation

Check how a rule set behaves across past market conditions before taking the next step.

Trade-level detail

Trace entries, exits, and outcomes so performance numbers stay explainable.

Research workflow

Move from idea to test to refinement without leaving the browser.

Pricing

Choose how much strategy research you want to keep active.

Free

Explore the builder
  • Create visual strategies
  • Run starter backtests
Recommended

Pro

For active strategy research
  • Batch backtests and exports
  • Priority data repair
$29 / MonthlyStart free trial

Lifetime

One-time research access.
  • No recurring subscription
  • Extended strategy history

Enterprise

Custom setup for research teams
  • Custom market-data limits
  • Team onboarding

Frequently asked questions

A quick overview before you create an account.

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