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Prop Eval Blend 80

Validation packet for the current best conservative prop-speed upgrade: Opening Range Baseline plus the prior-session failed-auction short module. This is still research, not a live-funded trading approval.

Download research PDF

Trades457
Win Rate80.7%
Target RR0.3-1.25R
Net R+78.5
Max DD5.51R

Target/RR Profile

0.3-1.25R target profile. OR/IB scalp plus 1.25R sweep add-on. The displayed RR is the modeled take-profit multiple from the research artifacts; live fills can vary with slippage, fees, and platform execution.

Equity Curve

Risk Read

At $350 risk/trade, this blend aims for much faster eval progress than Goat alone while keeping failure risk under the aggressive branches.

60d pass
23.0%
60d fail
3.7%
120d pass
68.7%
120d fail
7.8%

Module Split

ModuleTradesWinNet RPF
Opening Range Baseline35386.1%+46.01.87
Prior Sweep Rank0110462.5%+32.51.75

Daily Quality

Sharpe approx4.37
Sortino approx6.87
Ulcer index1.54R
Positive active days80.3%
TradingView buyer preview

PineScript chart proof

LuxAlgo Quant AI baseline compiled in TradingView Pine Editor on the CME_MINI:ES1! chart. The public page shows the compiled chart preview; the Pine source stays in the private buyer deliverable packet.

Prop Eval Blend 80 TradingView PineScript chart preview
Prop Eval Blend 80 PineScript preview: compile-tested in TradingView, screenshot captured for buyer review, not published to the TradingView public library.

Testing Method and Sources

This page is a public validation summary generated from local historical replay artifacts. Exact rules, source code, and raw signal files stay private unless the strategy is free/unlocked.

Historical data

Replay files came from local futures research exports and Databento historical pulls where available.

Databento Historical API
Validation

Stats use closed trades, R-multiple expectancy, equity reconstruction, Monte Carlo bootstrap, and modeled prop-style pass/fail stress tests.

Limits

Not live audited. Fees, slippage, latency, missed fills, roll handling, platform behavior, and market regime changes can alter results.