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theanalystai

From the previous product

TheAnalystAI is now a thesis-monitoring product: it watches company disclosures against reasons you write down. This page describes a tool from before that change. It still works and your saved work is untouched — see the archive, or try the current product.

Scenario Comparison

Compare behavior, not prose.

The legacy report-comparison workflow has evolved into strategy reality comparison. Fork the same simulated scenario, change an assumption, and see how each version performs against the same evidence.

Compare Realities

Volatility shock · 3 forks

Available
RealityReturnSharpeDrawdownWin rate
Baseline+8.4%1.18-9.7%54%
Tighter risk+7.6%1.42-6.2%57%
Faster signal+9.1%0.96-14.3%51%

Illustrative values only. Simulation results do not predict future performance.

1shared scenario baseline
3realities compared at once
5core outcome metrics
0real capital involved

Why It Matters

A single backtest can hide a fragile idea.

A strategy may look convincing under one parameter set or market path. Forked realities make the sensitivity visible: change a risk limit, signal speed, or regime assumption and compare the consequences side by side.

Control

Keep the market scenario constant.

Change

Adjust one assumption in each fork.

Compare

Review return and risk together.

Fewer false conclusions

See whether a result survives small changes instead of optimizing around one lucky run.

Risk stays visible

Compare drawdown and risk-adjusted performance beside return, not as an afterthought.

Clearer iteration

Use each fork as an explicit experiment with a traceable difference from the baseline.

Comparison Lens

Read the trade-offs, not just the winner.

The comparison view uses concrete simulation outputs already produced by each fork. No invented sentiment indexes or opaque scoring layer.

01

Total return

Compare the cumulative simulated outcome for each fork over the same scenario window.

02

Sharpe ratio

Review return relative to observed volatility instead of evaluating return in isolation.

03

Maximum drawdown

See the largest peak-to-trough decline and how much downside each version experienced.

04

Win rate

Compare the share of simulated trades that closed profitably, with the rest of the risk context intact.

05

Trading frequency

Understand how often each strategy trades and whether higher activity changed the outcome.

06

Scenario spread

See the gap between alternate realities so small parameter changes do not hide behind one headline number.

Workflow

Create a controlled comparison in four steps.

Start in the simulation sandbox; the comparison view becomes useful after you have created alternate realities from the same scenario.

01

Choose a scenario

Open a historical or synthetic market scenario in the simulation sandbox.

02

Run a baseline

Test the initial strategy and preserve its parameters as the control reality.

03

Fork assumptions

Create alternate realities and change one meaningful input in each fork.

04

Compare outcomes

Review the common metrics, spreads, and strongest trade-offs across the forks.

Test the Assumption

One scenario. Multiple realities. Clearer trade-offs.

Open the sandbox, run a baseline, and fork it before deciding which version deserves another iteration.

Independent thinking. Connected intelligence.