Rule, market, costs, constraints, and design window remain open.
Most backtests impress.
Built to disagree.
A smooth curve is an invitation to ask harder questions—not a reason to risk capital. The lab separates design from evidence, records every run, burns used test windows, and can conclude that an idea has no edge.
The validation sequence
Four gates. Honest verdict.
The idea can change only in Design. Every later gate judges evidence the strategy has not seen.
- 01
Design
Rule + market + costs
Editable - 02
Trial
Unseen data + adverse fills
Locked test - 03
Walk-forward
Rolling selection + stitched OOS
Stability - 04
Final judgment
Untouched tail + raw contracts
Decision
One strategy · four locked states
Evidence has a path.
Keep scrolling to move through the protocol.One untouched window meets adverse costs and conservative fills.
Every chosen setting is judged on market periods it never saw.
Final evidence and raw-contract cross-checks close the protocol.
The workbench
One run. Clear verdict.
Each frame keeps the complete application screen visible: inputs, market path, then the plain-language decision.
Authentic King’s Palace workspace. The run shown is deliberately not a sales-winning curve; the product reports a loss and insufficient evidence instead of hiding it.
Product evidence
Inspect the interface.
Four authentic captures from the working Windows application. Choose a screen, then open it at a readable scale.
Guided setup
Goal, market history, strategy, costs, fills, and account rules in one complete view.
Core research system
Make strategies earn their place.
Execution you can inspect
Deterministic event order, documented spread, slippage, and fees, adverse costs, conservative intrabar handling, and tests against lookahead.
Research memory
A ledger records experiments. Burned windows make it visible when a test period can no longer be treated as untouched evidence.
Portable strategy logic
Futures strategies target the supported Quantower API subset, keeping research and live platform source aligned.
Separate market realities
The core is futures strategy research. Funded-account economics, venue-specific crypto, and memecoin research are separate modules with explicit limits and paper-only boundaries.
Additional module · account economics
“Can it pass?”is not the same as“Should it run?”
King’s Palace can score a strategy against supported funded-account rulebooks using real day sequences and first-passage outcomes: pass, bust, or never finished.
- Compare target, maximum loss, consistency, size, and fee structure.
- Optimize for account economics—not the prettiest backtest.
- Rules are point-in-time snapshots and must be re-verified before a decision.
No cloud story. No magic key.
Research stays local.
- Application
- Windows desktop. The internal web host accepts loopback only.
- Data
- Buyer-supplied, licensed, and local. Missing evidence stops the research; it is never fabricated.
- AI
- None is embedded and no AI API key is required. Optional external tools may connect through the local MCP interface.
- Execution
- Research and forward-paper testing only. No broker OMS, wallet signing, or live-order route is sold here.
Software is half the work.
A serious deployment starts with the buyer’s market, data rights, and existing strategy source. The goal is a working research process the buyer can operate and audit—not a ZIP left on a desktop.
- 01
Discovery and fit
Data inventory, strategy constraints, platform path, and decision criteria.
- 02
Private deployment
Windows setup, licensed data integration, workspace configuration, and checks.
- 03
Migration and validation
Agreed strategy source, deterministic cross-checks, and the honest gate sequence.
- 04
Handoff and support
Operator training, documented boundaries, update path, and negotiated support.
Strong fit
Built to teststrategies.
- Profitable independent traders with systematic ambitions
- Small desks that own licensed historical data
- Quantower users who want one source path
- Teams willing to accept “no edge” as a useful result
Wrong fit
Not to sellsignals.
- Buyers looking for a black-box money bot
- Anyone expecting market data to be included
- Teams needing mobile access or live multi-broker execution
- Anyone asking for guaranteed returns or prop-firm passage
Before diligence
Straight answers.
Does King’s Palace place live trades?
No. It is a research and forward-paper environment. Futures strategy source can be prepared for the supported Quantower API subset, but live deployment remains a separate buyer-controlled step.
Is market data included?
No licensed vendor data ships with the product. A buyer brings data they have the right to use. Synthetic sample data is installation material only.
What do I receive?
The agreed engagement can include a configured Windows workspace, reproducible research runs, evidence reports, and a handoff of the supported strategy source. Scope is written before work starts.
What data formats can I bring?
Buyer-owned market data is checked during assessment before research begins. The exact instrument, time range, and import path are agreed from the files you can lawfully provide; missing inputs stop the run.
Does it need an AI key?
No. The application contains no embedded AI provider. External CLI tools can connect through local MCP if the buyer chooses, without putting AI inside the product.
Why is the engagement not sold by checkout?
The valuable work depends on data rights, strategy source, migration scope, support, and diligence. Those variables are agreed before a binding offer.
Private assessment




