SIGNAL BRIDGETrading OS
Premium OS · Beta
Historical TradingView exports, reconstructed trade studies, paper journals, failed branches, chart/indicator research, outside source work, strategy references, and the open questions that drive the next controlled tests.
Each sample stays attached to its own instrument, timeframe, date range, rules, and evidence class so the numbers remain useful.
The reconstructed V1 study produced PF 1.78, +$2,381.25 net and +$62.66 expectancy/trade at a 31.6% win rate. The result made the baseline worth studying further while keeping sample-size and tagging limitations visible.
V6 recorded 156 trades, PF 1.431, +$32,750 net, 39.1% win rate, and $8,875 max drawdown in the checked-in comparison file. A near-duplicate V6 export is tracked separately so it is not treated as a second independent sample.
R1.3 produced PF 1.284 and +$546.25 with 74 reported trades. The source lists 30 winners and 41 losers, so the three-outcome mismatch stays flagged for reconciliation.
R1.2 reached a 43.9% win rate but finished at PF 0.949 and -$203.75. It remains useful negative evidence when comparing activity, win rate, and expectancy.
Strategy code, TradingView exports, journal exports, screenshots, decision-tree work, optimizer experiments, robustness tooling, component studies, and live data infrastructure all feed the research process.
Outside material supplies definitions, market context, platform references, and candidate mechanics that can be translated into cleaner implementation and better test questions.
Supports the indicator architecture for price ranges, support/resistance, custom formations, active drawing management, and chart-object limits.
Platform implementation source ↗ TradingView · official Pine docsGrounds custom session strings, session inputs, and time-state handling used by ORB and Asia/London/New-York modules.
Platform implementation source ↗ Academic market-microstructure researchDocuments intraday behavior in volume, spread, volatility, and order-book liquidity across multiple equity markets. Useful context for explicit session/time modeling.
Market-context source ↗The April research dossier collected public material around the 8:00–8:15 ORB, break/retest execution, HTF context, equal highs/lows, confirmation, and non-ORB liquidity behavior, with source notes preserved for later comparison.
Internal synthesis · source notes preservedA preserved external Pine strategy exposes configurable New York/Asia/London ORBs, breakout/retest modes, multi-target management, staircase stops, re-arm logic, and adaptive sizing. It serves as a mechanics library for candidate ideas.
Checked-in source referenceA separate preserved ORB script combines a range breakout with relative volume and correlated-asset data. It gives the research queue a concrete implementation to compare when volume/correlation filters are isolated.
Checked-in source referenceThe current question is which combination of clock, location, confirmation, context, risk, and target behavior survives controlled comparison.
Objective levels are easy to compute. Preferred ORB clock and range-quality rules still need matched tests.
Multiple candidate locations exist. Their independent contribution is the next attribution problem.
Useful in the discretionary process; each filter needs a defined job and controlled on/off comparison.
The next attribution harness should compare trigger families on the same underlying opportunity set.
Signal Bridge is being built to store this automatically so future research uses session-level forward records.
Instrument, timeframe, date range, and logic differ across rows, so the table is most useful for tracing how the system changed over time.
| Configuration | Instrument / TF | Date Range | Trades | Win Rate | Net | PF | Max DD |
|---|---|---|---|---|---|---|---|
| V6 ORB Midpoint Continuation | ES · 15m | Apr 2025 – Feb 2026 | 156 | 39.1% | $32,750 | 1.431 | $8,875 / 17.75% |
| V6 ORB Midpoint Continuation · near duplicate | ES · 15m | Apr 2025 – Feb 2026 | 156 | 39.1% | $32,600 | 1.428 | $9,075 / 18.15% |
| R1.3 ORB Retest + Confluence | MES · 5m | Dec 2025 – Mar 2026 | 74 reported | 40.54% | $546.25 | 1.284 | $368.75 / 0.74% |
| R1.2 Adaptive Second Trade | MES · 15m | May 2025 – Mar 2026 | 82 | 43.9% | -$203.75 | 0.949 | $1,481.25 / 2.96% |
R1.3 reports 74 total trades while its listed 30 wins + 41 losses account for 71 classified outcomes. The source mismatch stays flagged until the export is reconciled.
Signal Bridge tracks whether a rule exists in code, has historical results, has been isolated against a control, or has been observed in forward market sequence.
The rule or module exists in code and can be reproduced.
A defined configuration has measurable historical results.
A specific change was compared against a controlled baseline.
Replay, paper, funded, and live observations stay separated by source and date.