How to read this report.
Recalculated from the supplied daily histories for 01 Aug 2014 — 09 Oct 2026. The native master aggregates Tactical and Dynamic, preserving their own valuation clocks and modeled costs. Historical fund proxies extend the available record. This is research aggregation—not a unified physical-execution backtest or a verified live account.
Measured history, stress reruns and resampling are labeled separately. Proprietary decision rules remain confidential.
Executive Summary — Recalculated Historical Research
Dual Engine brings Tactical and Dynamic together in one coordinated mandate. Tactical provides strategic market exposure with risk-aware adjustments; Dynamic adapts the balance between growth opportunities and defensive allocations. Exact decision rules remain private.
01 Aug 2014 — 09 Oct 2026 · 3,066 dated valuations. The record is recalculated, not a weighted average of standalone headline ratios. Private paid signals only; no copy trading.
Data, Maximum History & Historical Proxies
| Item | Treatment |
|---|---|
| Historical cutoff | 01 Aug 2014 — 09 Oct 2026; last available CSV date. No extrapolation after 9 October 2026. |
| Longest native combined record | 1 August 2014 is hard-coded as the supplied master’s common public boundary. The longer input history is used for warm-up; it is not presented as strategy performance. |
| Input coverage | 24,811 dated rows; 61 instrument/index series with Open, High, Low, Close and Volume. The 1927 index history alone cannot simulate this multi-asset mandate. |
| Warm-up | Earlier available prices and pre-start strategy state are retained. Warm-up profits are not added to public capital. |
| Missing data | The native Dynamic quality table reports 49/49 series OK over its recent-coverage check. SPY is complete on all 3,066 report dates. |
| Prices and distributions | The supplied OHLC pass through the native proxy splices and the engine’s conditional BTAL Open/Close repair on 29 April 2015. No extra price-download or separate dividend series is added. Corporate-action adjustment and total-return status are not independently certified. |
| Currency / flows | USD illustration, initial capital USD 10,000; no deposits or withdrawals; investor taxes and signal-service fees excluded. |
| Timing | Original Tactical closing valuations and Dynamic opening valuations remain. Aligning dates does not make the clocks identical. |
| Baseline repeat | Two independent executions reproduced the native aggregate ledger within the recorded numerical tolerances. No performance-optimized start date or production-rule change. |
| Operational instrument | Historical proxy | Real data from | Interpretation |
|---|---|---|---|
| GLDM | GLD | 2018-06-26 | Scaled historical gold proxy; original real ETF data used from splice date. |
| DBMF | ASFYX | 2019-05-08 | Managed-futures mutual-fund proxy before ETF launch; not an identical investment. |
| SGOV | BIL | 2020-06-01 | Scaled short-Treasury proxy, with original Open/Close splice semantics. |
| KMLM | PQTIX | 2020-12-02 | Managed-futures mutual-fund proxy before ETF launch; not an identical investment. |
| SHLD | PPA | 2023-09-14 | Native hybrid defense-fund transition; proxy before availability, real instrument thereafter under the unchanged engine. |
The series is a hybrid historical simulation, not an ETF-only live track record. Fund proxies are imperfect substitutes, especially for managed-futures exposures. Scaled joins preserve the native method; they do not prove that the investments are economically identical.
The latest transition is 14 September 2023. A descriptive slice after that date appears below; it retains prior strategy state and is not a fresh investment from cash.
Benchmark Context
SPY is used as a broad U.S. equity reference on the same dated observations, not as an exact replication of this multi-asset mandate. It was not chosen by searching for the weakest comparator. This report uses the supplied closing-price series; no total-return certification is inferred.
| Measure | Dual Engine | SPY as supplied |
|---|---|---|
| Period | 01 Aug 2014 — 09 Oct 2026 | 01 Aug 2014 — 09 Oct 2026 |
| CAGR | 27.85% | 14.08% |
| Maximum drawdown | −11.20% | −33.72% |
| Annual volatility | 12.14% | 17.36% |
| Final USD 10,000 illustration | $198,470.41 | $49,613.05 |
Equity Curve — Linear Scale
Initial USD 10,000 grows to $198,470.41 in the native simulation. This dollar outcome is illustrative, excludes investor-specific charges and cannot be read as a promised outcome.
Equity Curve — Log Scale
The logarithmic chart uses exactly the same observations as the linear chart. Equal vertical distances indicate equal proportional changes; neither axis format changes the reported outcome.
Tactical + Dynamic — Public Disclosure Boundary
Tactical
Strategic market exposure, adjusted as conditions change.
Dynamic
Adaptive growth opportunities and defensive allocations.
Dual Engine
Consolidated private signals → your manual implementation.
Both strategies remain inside Dual Engine; neither is discarded or sold as a separate product on this website. Their different roles are coordinated into a single stream of portfolio instructions.
Current positions, allocation proportions, selection formulas, signal thresholds, ranking windows, rebalance triggers, protective rules and production code are not published. Public statistics describe the aggregate outcome, not the recipe for generating the next signal.
Key Metrics — Combined Strategy and Benchmark
| Metric | Dual Engine | SPY as supplied |
|---|---|---|
| CAGR · 252-session convention | 27.85% | 14.08% |
| CAGR · calendar-day convention | 27.78% | 14.04% |
| Cumulative return | 1,884.70% | 396.13% |
| Maximum drawdown | −11.20% | −33.72% |
| Annual volatility | 12.14% | 17.36% |
| Sharpe · risk-free = 0 | 2.09 | 0.85 |
| Sortino · target = 0 | 3.13 | 1.19 |
| Calmar | 2.49 | 0.42 |
| CAGR / volatility | 2.29 | 0.81 |
| Ulcer index | 2.97% | 6.68% |
| Positive daily observations | 58.43% | 54.65% |
| Best single interval | 4.96% | 10.50% |
| Worst single interval | −5.88% | −10.94% |
| Skewness | −0.35 | −0.30 |
| Excess kurtosis | 3.87 | 14.20 |
| Final capital multiple | 19.85× | 4.96× |
CAGR follows the native master: final capital multiple raised to 252/(n−1), minus one. Volatility uses sample standard deviation of daily percentage changes, excluding the entry-only first observation. Sharpe and Sortino use an explicitly zero reference rate; they are not Treasury-excess ratios. Drawdown includes the original capital anchor.
Daily Tail Risk — Historical VaR & Expected Shortfall
| Daily loss statistic | Dual Engine | SPY as supplied |
|---|---|---|
| VaR 95% | 1.10% | 1.63% |
| Expected shortfall 95% | 1.74% | 2.62% |
| VaR 99% | 2.18% | 3.03% |
| Expected shortfall 99% | 2.78% | 4.53% |
Positive VaR and expected-shortfall numbers denote losses. These are empirical quantiles and conditional tail averages of the observed series—not maximum losses, normal-distribution assumptions, or guarantees about the next trading day.
Historical Drawdown & Recovery
| Peak | Trough | Recovery | Depth | Sessions to recovery | Status |
|---|---|---|---|---|---|
| 2020-02-21 | 2020-03-19 | 2020-04-14 | −11.20% | 36 | Recovered |
| 2026-01-29 | 2026-03-27 | 2026-05-06 | −10.79% | 67 | Recovered |
| 2022-04-18 | 2022-07-06 | 2022-11-25 | −9.17% | 154 | Recovered |
| 2023-09-05 | 2023-10-27 | 2023-12-14 | −8.76% | 71 | Recovered |
| 2026-06-03 | 2026-08-03 | Unrecovered at cutoff | −8.04% | 89 | Open at cutoff |
| 2025-10-20 | 2025-11-21 | 2025-12-22 | −8.03% | 44 | Recovered |
| 2021-02-22 | 2021-03-25 | 2021-05-06 | −7.86% | 52 | Recovered |
The deepest episode recovered in 36 trading intervals (53 calendar days) from its peak. The longest underwater episode lasted 239 intervals / 345 calendar days. Drawdown at the cutoff: −4.14%. These are different measures, not interchangeable recovery statistics.
Rolling Stability — Returns
| Window | Overlapping windows | Worst CAGR | Median CAGR | Best CAGR | Positive windows |
|---|---|---|---|---|---|
| 1 year(s) | 2814 | −1.60% | 26.50% | 85.86% | 99.61% |
| 3 year(s) | 2310 | 14.30% | 27.02% | 44.60% | 100.00% |
One year means 252 trading intervals; three years means 756. Overlapping windows are strongly dependent and are not independent trials. Positive-window frequency is not a future success probability.
Rolling Stability — Risk
| Rolling 252-observation statistic | Minimum | Median | Maximum |
|---|---|---|---|
| Annualized volatility | 7.12% | 11.02% | 19.06% |
| Sharpe · risk-free 0 | −0.15 | 2.14 | 4.40 |
| Within-window maximum drawdown | −11.20% | −7.32% | −3.63% |
The drawdown statistic resets its peak inside each 252-observation window. It is not the same as the full-history peak-to-trough loss or a stop-loss threshold.
Validation Scope & Completed Checks
| Check | Outcome / scope |
|---|---|
| Supplied-engine integrity | Embedded source hashes verified by the master. Production mathematics preserved. |
| Independent baseline repeat | PASS: all 3,066 dated aggregate valuations reproduced. |
| Metric reconciliation | PASS: CAGR, drawdown, Calmar, volatility and final multiple equal the native summary within 1e−10. |
| Daily → monthly → annual compounding | PASS: monthly and calendar-year products recover the final capital multiple. |
| Higher-friction rerun | Completed with the same data and disclosed execution-cost changes. |
| Later-execution rerun | Completed with one additional session delay in both retained engines. |
| Block-resampling study | Completed: 5,000 paths, 756 intervals, 21-interval circular blocks, fixed seed. |
| Independent financial audit / broker record | Not established by these checks. The output is historical research. |
| Production parameter search | Not performed. No threshold tuning was used to improve this edition’s results. |
Time-Based Evaluation — Not an Untouched Holdout
| Descriptive slice | Start | End | CAGR | Max drawdown | SPY CAGR |
|---|---|---|---|---|---|
| Early history | 2014-08-01 | 2019-12-31 | 18.37% | −7.50% | 12.20% |
| Middle history | 2020-01-02 | 2023-12-29 | 32.53% | −11.20% | 11.76% |
| Recent history | 2024-01-02 | 2026-10-09 | 41.47% | −10.79% | 21.27% |
| All replacement ETFs available | 2023-09-14 | 2026-10-09 | 37.69% | −10.79% | 21.21% |
These fixed date splits are descriptive sections of the same already-developed model and its full-history path. The 3 October 2026 source-version label does not establish a contemporaneously registered freeze or an untouched historical holdout. No out-of-sample certification or selection-bias-free claim is made.
Alternate Entry Dates — Rebased Historical Path
| Rebase date | CAGR to cutoff | Max drawdown | Final multiple |
|---|---|---|---|
| 2015-01-02 | 28.03% | −11.20% | 18.19× |
| 2017-01-03 | 30.52% | −11.20% | 13.40× |
| 2020-01-02 | 35.78% | −11.20% | 7.88× |
| 2022-01-03 | 32.23% | −10.79% | 3.77× |
| 2024-01-02 | 41.47% | −10.79% | 2.60× |
Each row starts from the observed capital path at that date, rebased to one. Existing state and exposures are retained. This is an entry-date illustration, not a new account started from cash, a cold-start engine rerun, or an independent sample. The first sample’s return is excluded when rebasing.
Relative and Volatility-Matched Comparisons
| Descriptive comparison | Value |
|---|---|
| Correlation with SPY | 0.50 |
| Beta to SPY | 0.35 |
| Tracking error | 15.38% |
| Information ratio | 0.69 |
| Arithmetic annual alpha · zero reference rate | 20.15% |
| Up-day arithmetic capture | 56.08% |
| Down-day arithmetic capture | 35.45% |
| Volatility-scaled SPY CAGR | 10.00% |
| Volatility-scaled SPY drawdown | −24.51% |
Volatility matching uses one scale factor estimated over the entire sample and a zero-return cash remainder. It is a hindsight illustration, not an investable forward rule. No borrowing is assumed in this comparison. Daily regression and capture statistics retain the original valuation-clock mismatch.
Costs & Implementation Sensitivity — Engine Reruns
| Run | CAGR | Max drawdown | Calmar | Final multiple |
|---|---|---|---|---|
| Native baseline | 27.85% | −11.20% | 2.49 | 19.85× |
| Higher modeled friction | 26.80% | −11.20% | 2.39 | 17.95× |
| One additional session delay | 26.98% | −10.95% | 2.46 | 18.26× |
Higher-friction run: Tactical slippage rises from 5 to 15 basis points; Dynamic’s turnover-cost rate rises from 0.10% to 0.20%; the master aggregation cost rate rises from 0.15% to 0.30%. All other source settings remain unchanged. These are simulation assumptions, not subscription prices.
The native cost models, initial-entry treatment and annualization are retained. Taxes, signal-service fees, broker-specific account charges and actual follower fills are not added. “Modeled net” means net of those modeled costs only.
Implementation Scenarios — What the Curves Measure
The same USD 10,000 initial research capital ends at $198,470.41 in the native run, $179,487.90 with higher modeled friction, and $182,610.03 with the additional session delay.
Each scenario is a full rerun of the supplied native engine aggregation with the listed implementation changes. It is not merely a lagged or rescaled chart. Scenarios are limited experiments; they do not model every missed signal, gap, rejected order, tax consequence or subscriber behavior.
Execution & Structural Robustness
| Execution check | Observed result |
|---|---|
| Additional-session delay | CAGR 26.98%; drawdown −10.95%; Calmar 2.46. |
| Delayed-run CAGR difference | −0.87 percentage points. |
| Cost-run CAGR difference | −1.05 percentage points. |
| Data at the cutoff | Available input coverage checked; final-bar certification for live use is a separate source requirement. |
| Execution parity | Not established. Native strategy curves retain different valuation clocks. |
| Actual broker execution | Not tested or connected in this publication. Signals require manual implementation. |
A delay can improve or worsen a particular loss episode by chance. The slightly different drawdowns in these runs do not imply that delaying execution is protective.
Internal Components — Descriptive Reference
| Research component | Native standalone CAGR | Native standalone drawdown | Standalone volatility |
|---|---|---|---|
| Tactical | 23.97% | −10.14% | 13.15% |
| Dynamic | 33.08% | −14.40% | 18.31% |
These component figures are reconstructed from each native return stream before master-level transfers. They explain the combined mandate’s sources of return and risk; they are not separately offered products or recommended allocations. Removing either engine changes the mandate. A component’s CAGR or maximum drawdown cannot be added or averaged to recover the combined ratio.
No internal signal-threshold or parameter-grid optimization is claimed. Production decision rules and allocation proportions remain confidential.
Diversification & Dependence
| Native component statistic | Value |
|---|---|
| Tactical / Dynamic daily correlation | 0.26 |
| Lowest rolling 252-observation correlation | −0.01 |
| Highest rolling 252-observation correlation | 0.51 |
| Days on which both component returns are negative | 22.81% |
Correlation is measured from the two native dated return streams. Their different opening/closing valuation conventions can affect measured dependence and the apparent diversification benefit. A common-close execution study would be a separate analysis. Low historical correlation does not prevent joint losses or future correlation spikes.
Cost Robustness & Additional Annual Drag
| Additional annual drag | CAGR after drag | Max drawdown | Calmar |
|---|---|---|---|
| 0.00% | 27.85% | −11.20% | 2.49 |
| 0.50% | 27.21% | −11.24% | 2.42 |
| 1.00% | 26.57% | −11.27% | 2.36 |
| 2.00% | 25.29% | −11.34% | 2.23 |
| 3.00% | 24.01% | −11.41% | 2.10 |
Each row applies (1 − annual drag)^(elapsed trading intervals/252) to the already modeled-net capital path. This is a deterministic sensitivity overlay, not a replay of trades and not a quoted signal-service price.
Severe Impairment — Observed & Resampled
| Event over 756 resampled sessions | Count / 5,000 paths | Empirical frequency |
|---|---|---|
| Finishes below initial capital | 1 | 0.02% |
| Falls to half of initial capital | 0 | 0.00% |
| Peak-to-trough loss reaches 30% | 1 | 0.02% |
| Peak-to-trough loss reaches 50% | 0 | 0.00% |
The historical worst drawdown is −11.20%; losses can exceed it. The historical recovery record is shown in section 9, not inferred from favorable bootstrap percentiles.
Historical Stress Windows
| Fixed review window | Dates | Dual return | Dual within-window drawdown | SPY return | SPY drawdown |
|---|---|---|---|---|---|
| 2015-16 equity drawdown | 2015-08-03 to 2016-02-11 | 1.27% | −4.89% | −11.86% | −12.82% |
| Q4 2018 | 2018-10-01 to 2018-12-31 | −4.77% | −7.17% | −13.83% | −19.20% |
| COVID-19 selloff | 2020-02-19 to 2020-03-23 | −9.87% | −11.20% | −33.72% | −33.72% |
| 2022 calendar year | 2022-01-03 to 2022-12-30 | 17.53% | −9.17% | −18.65% | −24.50% |
| 2025 Q1 | 2025-01-02 to 2025-03-31 | 11.59% | −2.44% | −4.03% | −10.04% |
These are disclosed review windows, not an exhaustive search for every possible crisis. Each path is rebased at the first observation; prior peaks and the first sample’s return are excluded. The supplied engine has no native combined record covering 2008, so no 2008 Dual Engine return is invented.
Synthetic Stress — Mechanical Shock Illustration
| Immediate hypothetical portfolio loss | USD 10,000 remaining | Gain needed to recover |
|---|---|---|
| −10.00% | $9,000.00 | 11.11% |
| −20.00% | $8,000.00 | 25.00% |
| −30.00% | $7,000.00 | 42.86% |
| −50.00% | $5,000.00 | 100.00% |
These rows are arithmetic shocks to capital, not simulated strategy reactions. They do not assume successful stops, instant defensive switches or liquidity. They deliberately allow losses larger than the observed historical drawdown. No scenario likelihood is assigned.
Calendar-Year & Monthly Review
| Year | Dual Engine | SPY | Coverage |
|---|---|---|---|
| 2014 | 8.97% | 7.87% | Partial: Aug-Dec |
| 2015 | 1.89% | 1.23% | Full calendar year |
| 2016 | 34.24% | 12.00% | Full calendar year |
| 2017 | 21.24% | 21.71% | Full calendar year |
| 2018 | 6.68% | −4.57% | Full calendar year |
| 2019 | 29.06% | 31.22% | Full calendar year |
| 2020 | 57.37% | 18.33% | Full calendar year |
| 2021 | 33.48% | 28.73% | Full calendar year |
| 2022 | 18.52% | −18.18% | Full calendar year |
| 2023 | 24.93% | 26.18% | Full calendar year |
| 2024 | 26.39% | 24.89% | Full calendar year |
| 2025 | 61.53% | 17.72% | Full calendar year |
| 2026 | 25.61% | 15.12% | YTD through 09 Oct |
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014* | Outside period | Outside period | Outside period | Outside period | Outside period | Outside period | Outside period | 2.65% | −1.12% | 1.58% | 4.76% | 0.88% | 8.97% |
| 2015 | 1.89% | 2.41% | −0.44% | 0.35% | 1.62% | −3.37% | 1.43% | −3.69% | −0.04% | 3.67% | 1.02% | −2.67% | 1.89% |
| 2016 | 0.24% | 2.53% | 2.69% | 7.39% | 2.31% | 7.31% | 9.23% | −2.52% | 1.46% | −2.50% | 2.24% | 0.17% | 34.24% |
| 2017 | 2.91% | 1.80% | 0.76% | 1.09% | 2.90% | −2.01% | 3.64% | 2.28% | 0.86% | 3.47% | 2.14% | −0.26% | 21.24% |
| 2018 | 4.38% | −1.38% | −1.83% | −0.33% | 4.87% | −0.83% | 1.15% | 5.74% | −0.26% | −6.09% | 0.91% | 0.75% | 6.68% |
| 2019 | 4.85% | 6.50% | 1.03% | 4.94% | −6.25% | 6.42% | 2.41% | 2.04% | −1.10% | 2.76% | 0.76% | 2.10% | 29.06% |
| 2020 | 3.21% | −3.15% | 0.93% | 4.33% | 2.64% | 5.31% | 9.71% | 2.83% | −1.51% | 2.08% | 12.65% | 8.26% | 57.37% |
| 2021 | 3.82% | 8.08% | −1.65% | 3.35% | 1.81% | 1.89% | 4.46% | 3.20% | −2.63% | 5.40% | 1.63% | 0.34% | 33.48% |
| 2022 | 1.02% | 2.95% | 6.53% | 1.51% | −0.61% | −1.49% | −1.03% | 2.16% | −0.72% | 1.52% | 4.92% | 0.68% | 18.52% |
| 2023 | 5.88% | −0.04% | 3.06% | −1.15% | 3.38% | 4.73% | 3.88% | 1.02% | −3.20% | −4.43% | 5.25% | 4.75% | 24.93% |
| 2024 | 3.73% | 3.70% | 6.76% | −0.92% | 5.29% | 2.18% | 1.11% | 1.63% | 1.92% | 2.09% | 0.90% | −4.30% | 26.39% |
| 2025 | 4.68% | 1.49% | 5.72% | 3.88% | 3.28% | 5.66% | 2.63% | 4.59% | 11.95% | 3.40% | −0.58% | 2.69% | 61.53% |
| 2026* | 11.15% | 5.17% | −8.64% | 7.08% | 11.18% | −3.04% | −1.11% | 1.62% | 0.94% | 0.44% | Outside period | Outside period | 25.61% |
* 2014 begins in August; 2026 ends on 9 October. October 2026 is a partial month. 111 of 147 observed months were positive (75.51%). Best month: 2020-11, 12.65%; worst: 2026-03, −8.64%. Months outside the record are not zero returns.
Monte Carlo — Historical Block Resampling
| Resampling output | 5th percentile | Median | 95th percentile |
|---|---|---|---|
| Terminal capital multiple | 1.51× | 2.09× | 2.92× |
| Annualized compounded return | 14.65% | 27.79% | 43.00% |
| Path maximum drawdown | −16.11% | −10.30% | −6.59% |
5,000 paths; 756 future-indexed trading intervals per path; fixed-length circular blocks of 21 observed daily returns; seed 314159. All draws come from the same native aggregate sample. The fan shows pointwise percentiles; it is not one attainable percentile trajectory or a confidence interval for a future account.
Serial dependence is preserved only within sampled blocks. Stationarity, historical representativeness, proxy quality and source-model assumptions remain unverified. This experiment is not an untouched out-of-sample test or forecast.
Methodology & Governance
| Control | This edition |
|---|---|
| Version | Supplied master V5.7; both embedded engines verified without publishing production code. |
| Dataset | Frozen uploaded CSV; SHA-256 recorded. No silent data downloads. |
| Presentation | One aggregate result set feeds homepage, overview, comparator, tables and PDF. |
| No performance tuning | Native start boundary and production logic retained; scenario changes are disclosed separately. |
| Evidence hierarchy | Historical simulation, mechanical stress, bootstrap, paper testing and verified live performance are distinct. |
| Disclosure boundary | No current holdings, signal formulas, production thresholds or allocation recipe in the deployable site. |
A future engine or dataset revision requires new calculations and consistent replacement of every public figure.
Investor Fit
Worth evaluating when
You seek a coordinated multi-asset mandate, can execute paid private signals manually, and understand market losses and model uncertainty.
Not designed for
Guaranteed income, capital protection, automatic copying, a fixed loss ceiling, or a return expectation copied from the backtest.
No personalized suitability assessment is made. Confirm instrument access, costs, account constraints and contractual terms before subscribing.
Strategy Profile
| Dimension | Public profile |
|---|---|
| Product | Azimuth Dual Engine |
| Underlying strategies | Tactical and Dynamic, preserved inside one coordinated mandate. |
| Portfolio form | Long-only, fully funded account-level implementation. Underlying funds can have their own complex exposures. |
| Access | Paid private signals with manual implementation; no copy trading. |
| History | 01 Aug 2014 — 09 Oct 2026; hybrid proxy-based native simulation. |
| Primary research ratios | CAGR 27.85% · drawdown −11.20% · Calmar 2.49. |
| Confidential information | Production rules, allocation proportions, current positions, rankings and thresholds. |
| Platform | The public website does not connect a broker or place trades. |
Capacity & Liquidity Considerations
A long price history is not a capacity test. Real execution depends on order size, spreads, market depth, market hours, fractional-share support and the subscriber’s account. The supplied daily history supports the native calculation but does not establish a maximum strategy capacity, a retail minimum or a guaranteed cost.
Recent series completeness was checked; full intraday depth, queue position and subscriber order books were not supplied. No capacity number is invented. The USD 10,000 example is a research normalization, not an investment minimum.
Review & Optimization Protocol
| Review item | Standard applied |
|---|---|
| Baseline | Reproduce the unchanged source first; preserve adverse and favorable results. |
| Implementation sensitivity | Measure explicit friction and delay scenarios without changing proprietary signal settings. |
| Future parameter work | Separate research candidates from the published strategy. Disclose selection chronology before claiming holdout evidence. |
| Publication | Update the same metrics and curves in every page and PDF; keep source hashes and calculation definitions. |
| Commercial terms | Confirm signal fees and access conditions independently; no subscription price is inferred from the research. |
Ongoing Review
Operational monitoring should distinguish the model instruction, its delivery, the subscriber’s decision and the actual broker fill. A real-account review would reconcile positions, cash flows, costs, rejected actions and service fees against the dated signal log.
This offline publication does not certify a working broker bot, live uptime, a service-level guarantee or a verified follower record. Recalculate after a material strategy change; do not silently carry this historical evidence to a new model.
Institutional Notes — Interpretation Limits
Original valuation clocks: the native aggregate combines the source equity conventions, including Tactical closing values and Dynamic opening values. It is not a unified common-close or common-open portfolio-execution reconstruction. This affects daily risk and correlation interpretation.
Proxy history: mutual funds and earlier ETFs are approximations, not identical pre-launch records. The long history is synthetic in this disclosed sense; no pre-launch ETF price is called a real trade.
Model and selection risk: reproducibility does not eliminate hindsight, universe selection, overfitting, source-model defects, corporate-action issues or survivorship bias. This report does not independently certify causality or data-vendor adjustments.
Modeled net: investor taxes, service fees and real follower implementation differences are excluded. Results can differ substantially from the reported series.
Important Notes & Reproducible Public Data
Historical simulation with proxies; original engine valuation clocks preserved. Not live, not independently audited, and not a forecast.
The factsheet contains measured historical outputs, explicitly labeled scenarios and methodological limitations. No verified live performance or guaranteed outcome is claimed. Dual Engine remains a paid signal-only service with manual execution and no copy trading.
Aggregate metrics and definitions (JSON) · Dated aggregate equity (CSV) · Monthly returns (CSV) · Annual returns (CSV)
Input CSV SHA-256: dee21d84a636b8b386ada418b02e95a4731cc24c2318969cb84a456218556f7e
Master source SHA-256: 0c8bcb1b4381b1c66516ff95f13355c65c791e7d1c9281df4f0e3295d6d36703
Publication edition: 14 October 2026. Historical cutoff: 9 October 2026. Private production sources and raw instrument-level portfolios are not distributed in this site.
End of factsheet · 01 Aug 2014 — 09 Oct 2026 · Native historical research with proxies.