LAST PRICE
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Load candles to begin
DEMO · synthetic illustrative candles
MONDAY, MARKET NOTE
Research before risk.
Explore a market with a transparent, reproducible workflow.
30D VOLATILITY
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Annualized, historical
MARKET REGIME
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Based on moving averages
RISK / TRADE
$10.00
1% of $1,000 default capital
Price history
Synthetic demo series · daily bars
Close
Research checklist
Keep evidence and assumptions in view.
01Describe the hypothesisDefine why the pattern might persist.↗
02Test with realistic costsFees and slippage are included in backtests.↗
03Inspect risk of ruinReview drawdowns and path variability.↗
A NOTE ON EVIDENCE
Results describe the data you tested.
Backtests are historical simulations. Demo candles are synthetic. Neither predicts future returns or guarantees an edge.
01 / DESIGN
Strategy generation
Turn a market hypothesis into rules you can test.
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Build a rule set
Ideas are rule templates, not claims of profitability. They use available candle history and current regime.
02 / VALIDATE
Historical backtest
EMA crossover baseline with position sizing, fees, and slippage.
Strategy equity
Historical simulation · costs applied on entry and exit
Equity
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No backtest run yet
Run the baseline after loading data. Results are illustrative while in demo mode.
03 / SIZE THE RISK
Risk / reward analysis
Position size follows the distance between entry and stop.
Enter prices or use the latest market close.
04 / CONTEXT
Market regime
Trend, realized volatility, and relative volume from loaded bars.
Load data to calculate the current regime.
05 / RANK
Multi-factor research
Momentum, trend, low volatility, and an optional value input.
The factor blend uses fixed, visible weights; a score is not a forecast.
06 / STRESS TEST
Strategy optimization
Compare EMA windows in-sample. Selection can overfit.
A small grid compares several fast/slow windows on the same historical sample.
07 / ALLOCATE
Portfolio construction
Simple volatility-weighted allocation for the selected asset.
A true diversified portfolio needs synchronized history for multiple assets. This single-asset worksheet shows sizing mechanics only.
No allocation calculated.
08 / PLAN
Trade setup worksheet
Rule-based levels from recent volatility; not a trade recommendation.
Uses the latest close and ATR-style range to draft a stop and target.
09 / PATH RISK
Monte Carlo simulation
Resample historical strategy trades to inspect outcome variability.
Run a backtest first. The simulation resamples its observed trade returns; it does not model every real-world risk.
10 / RECOVERY
Drawdown analysis
Measure peak-to-trough losses and recovery times.
Run a backtest to inspect its drawdown profile.
11 / ECONOMIC CONTEXT
Macro research
Use published US rates, inflation, and production series where configured.
Macro data is opt-in
Configure a FRED API key on the server to fetch DGS10, CPIAUCSL, and INDPRO. Without it, the app will say data is unavailable instead of inventing values.
12 / FIND A HYPOTHESIS
Alpha hypotheses
Look for testable patterns and account for multiple comparisons.
This scan reports simple historical behavior and robustness checks; it cannot prove market inefficiency.