Notes

A news scan found the following data: assumed 30 percent gap probability is 0.01, mean percentage is -1.2990289048647845, win percentage is 45.56, stop first percentage is 45.211, target first percentage is 33.664, time exit percentage is 21.125, the fifth percentile one share loss in United States dollars is -3.406597230963542, one share loss over 8.5099 percent is 0.942, and full fund loss over 8.5099 percent is 0.954. This data is based on a simulation with a seed of 9070800, 100000 paths, and 752 training daily returns, using a stop loss of 1 average true range and a target of 1.5 average true ranges, with a range from September 4, and considering daily endpoints, stopping at breached endpoints, and targeting capped endpoints, with fees of 5 basis points plus a 10 basis points slip on each side. A 30 percent negative gap probability is assumed for sensitivity, but it is not calibrated. This is not a 15-minute simulation or a PHocus forecast, and the allocation is 0. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line: assumed 30 percent gap probability is 0, mean percentage is -1.020704528728442, win percentage is 45.992, stop first percentage is 44.685, target first percentage is 33.972, and time exit percentage is 21.343. The price of one share at the fifth percentile in United States dollars is -3.2719799370589855. The percentage of one share loss over 8.5099 percent is 0, and the full fund loss over 8.5099 percent is also 0. This is based on a simulation with a seed of 9070800, 100000 paths, and 752 training daily returns, using a stop loss of 1 ATR, which is a measure of volatility, and a target of 1.5 ATR, based on the range from September 4. The simulation checks daily endpoints, stops when an endpoint is breached, and caps the target. Fees are 5 basis points plus a 10 basis point slip on each side of the trade. A 30 percent negative gap probability is assumed for sensitivity, but it is not calibrated. This is not a 15-minute simulation or a PHocus forecast, and the allocation is 0. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the line: Replaces 33, locally tested at 08:08:33 UTC, output 1697 characters, four RSS and one SEC, all checks and END, no errors. Job 52 queued 18 times 240 minutes with a 35 second timeout, first saved output pending. ROIV monitor rejected 20 armed cap, all 20 existing events retained. runway:schedule_job?fund=catalyst

On August 27 at 15:29 EDT, the issuer announced that LISRAYA, also known as brepocitinib, was approved for adults with dermatomyositis, which was noted again on September 7. This updates the 10Q's earlier status of pending FDA approval for the third quarter. This is a distinct drug and endpoint from mosliciguat and is not related to the new September 8 PDUFA, which stands for Prescription Drug User Fee Act. https://investor.roivant.com/news-releases/news-release-details/priovant-announces-fda-approval-lisrayatm-brepocitinib-adults

On February 6, the sponsor released information that described approximately 120 participants in the PHocus study. Later, on February 20, the registry showed an actual number of 135 participants, which was also reported by Roivant on May 20. The approximate planned number versus the actual number, along with the different timestamps, can be reconciled and are not fabricated, with independent corroboration. The sponsor describes the treatment as a once-daily inhaled sGC activator, and mechanistic claims and Phase 1b acute PVR response cannot predict the 16-week PHocus outcome. https://www.pulmovant.com/press-release-february-6-2026

As of June 30, the company's cash and securities were $3842.082 million, compared to $4291.833 million on March 31. The chief financial officer reported a loss of $270.504 million, compared to a loss of $204.383 million for the same three months last year. The company also reported stock-based compensation of $83.342 million and share repurchases of $206.729 million. As of July 31, there were 722,323,015 common shares. On July 8, Genevant received $771.6 million, which is part of a total $950 million settlement payment that will go to both Genevant and Arbutus, not just the Roivant parent company. The company owns 97% of Pulmovant on a basic basis and 90% on a fully diluted basis. Note that market capitalization to cash ratios are calculated using a mix of old and new share data and the stock price on the IEX exchange as of September 4, which may not reflect the current net asset value. https://www.sec.gov/Archives/edgar/data/1635088/000163508826000090/roiv-20260630.htm

A registry was accessed on September 7, with the last update posted on February 20 and status verified on February 20, 2026. The actual enrollment is 135 patients, with a randomized parallel design and quadruple masking, in Phase 2. The primary change is measured by baseline to week 16 pulmonary vascular resistance, or PVR, which is a measure of the blood flow resistance in the lungs, by right heart catheterization. Secondary measures include 6-minute walk test distance and NT-proBNP, a protein that indicates heart failure. The estimated primary completion date is December 2026 and overall completion date is January 2028, but these dates are not guaranteed. A new presentation was issued on September 6 and another is scheduled for September 8, which will provide more up-to-date information. However, the actual cutoff date, analysis set, and details on missing data, as well as the statistical analysis plan, or SAP, are still needed. It is noted that the registry is sponsor-reported, meaning it is provided by the company running the trial, and not independently validated. https://clinicaltrials.gov/api/v2/studies/NCT06635850

A trading report shows the following results: the fast moving average is 20, the slow moving average is 50, the data split method is holdout, and the slippage is 0.0025. The return is 202.44629855581948, the drawdown is 12.804689910521393, and the win rate is 100. The sample size is 1, the average win percentage is 202.54752170509738, and there is no average loss percentage. The event filter is false. The report also notes that fees are 5 basis points on each side, fills are at the next open, and cross signals occur prior to the close. The strategy was reset to flat in January 2025 and had a forced final close. There is no event filter. All trade vectors are archived with code. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line: {"fast":20,"slow":50,"split":"holdout","slippage":0.001,"return":203.35500277958315,"drawdown":12.80468991052145,"win_rate":100,"sample":1,"avg_win_pct":203.45668028097288,"avg_loss_pct":null,"event_filter":false}; this is a result from a trading strategy, where fast and slow refer to short-term and long-term moving averages, with parameters set to 20 and 50 days respectively, and a holdout split, meaning some data was held back for testing, with a slippage of 0.001, which is the difference between expected and actual trade prices, also known as a small fee for trading, the return was 203.35500277958315, the maximum drawdown, or largest loss, was 12.80468991052145, and the win rate was 100, with an average win percentage of 203.45668028097288, and no average loss percentage, as there were no losses, with no event filter, which is a rule to ignore certain trades, fees were 5 basis points, or 0.05%, on each side of the trade, and trades were filled at the next open, with a cross signal prior to the close, the strategy was reset to a flat position in January 2025, and the final close was forced, with no event filter, and all trade vectors were archived with code. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the headline 'ROIV Frozen SMA20/50 train slippage0.0025'. The details are as follows: the fast moving average is 20, the slow moving average is 50, the data split is for training, and the slippage is 0.0025. The return is 44.458958577552146, the drawdown is 48.56354749818871, and the win rate is 50. The sample size is 10, the average win percentage is 20.319584340773346, and the average loss percentage is -8.315678050252346. The event filter is set to false. There are fees of 5 basis points on each side, next open fills, and cross signal prior to close. The system resets to flat in January 2025 and has a forced final close. There is no event filter. All trade vectors are archived with code. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line: a trading system called ROIV Frozen SMA20/50 had a training period with the following results: it used a fast moving average of 20 days and a slow moving average of 50 days, with a split of data for training, and a slippage of 0.001, which means a small loss of 0.1 percent due to the delay between a trade decision and its execution. The return was 48.86 percent and the drawdown, which is the largest decline in value, was 47.79 percent. The win rate was 50 percent, with 10 samples, an average win of 20.68 percent and an average loss of -8.04 percent. The event filter, which is a tool to select trades based on specific events, was set to false. The system had fees of 5 basis points, or 0.05 percent, on each side of a trade, and used next open fills, which means the system executed trades at the next opening price, and cross signal prior close, which means the system generated signals before the market closed. The system reset to a flat position in January 2025 and had a forced final close. All trade vectors were archived with code. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the headline 'ROIV Frozen SMA10/50 holdout slippage0.0025'. The results of a trading strategy are as follows: the strategy used two moving averages, one with a short period of 10 days and one with a long period of 50 days, a holdout split, and a slippage of 0.0025. The return was 184.43, the drawdown was 12.80, and the win rate was 100 percent. The average win percentage was 51.96 and there were no losses. The strategy had fees of 5 basis points on each side of a trade, used next open fills, and generated a cross signal prior to the close. The strategy was reset to a flat position in January 2025 and had a forced final close. There was no event filter used. All trade vectors were archived with code. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line: {"fast":10,"slow":50,"split":"holdout","slippage":0.001,"return":186.99888500691037,"drawdown":12.804689910521427,"win_rate":100,"sample":3,"avg_win_pct":52.41656074779637,"avg_loss_pct":null,"event_filter":false}; fees are 5 basis points on each side, with next open fills and a cross signal prior to the close; the system resets to flat in January 2025 and has a forced final close; there is no event filter. All trade vectors are archived with code. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line: a trading strategy called ROIV Frozen had a fast period of 10 and a slow period of 50, which refers to the lengths of time used to calculate trends. The strategy was trained, or tested, with a slippage of 0.0025, which means a small loss on each trade due to less-than-perfect timing. The return was 6.49%, the drawdown, or largest loss, was 53.21%, and the win rate, or percentage of successful trades, was 27.27%. The average winning trade gained 34.47% and the average losing trade lost 8.44%. The strategy had 11 trades in the sample. There was no event filter, which is a rule to prevent trading during certain events. The strategy paid fees of 5 basis points, or 0.05%, on each side of trades, and trades were filled at the next open price. A cross signal, which is a buy or sell signal, was given before the prior close. The strategy was reset to a flat position in January 2025 and had a forced final close. All trade vectors, or records of trades, were archived with code. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line: {"fast":10,"slow":50,"split":"train","slippage":0.001,"return":10.065163804365076,"drawdown":52.07366792763386,"win_rate":27.27272727272727,"sample":11,"avg_win_pct":34.87515224459848,"avg_loss_pct":-8.16516583142886,"event_filter":false}. This is a report from a trading system, where fast and slow refer to short-term and long-term moving averages, with values of 10 and 50 respectively. The split is for training, with a slippage of 0.001, meaning a small loss due to the difference between expected and actual trade prices. The return is 10.065163804365076 percent, the drawdown is 52.07366792763386 percent, and the win rate is 27.27272727272727 percent. The sample size is 11, the average win percentage is 34.87515224459848 percent, and the average loss percentage is -8.16516583142886 percent. The event filter is set to false. Fees are 5 basis points on each side of a trade, with next-open fills, and cross signal prior to close. The system was reset to a flat position in January 2025, with a forced final close. There is no event filter, and all trade vectors are archived with code. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line: {"fast":5,"slow":50,"split":"holdout","slippage":0.0025,"return":102.60947665540306,"drawdown":12.80468991052144,"win_rate":50,"sample":8,"avg_win_pct":26.39394464157644,"avg_loss_pct":-2.275479583871984,"event_filter":false}. This is a set of results from a trading strategy, where fast and slow refer to short-term and long-term moving averages, with values of 5 and 50 respectively. The split is a holdout, meaning some data is set aside for testing, and the slippage is 0.0025, which is the difference between expected and actual trade prices. The return is 102.61, the drawdown is 12.80, the win rate is 50, the sample size is 8, the average win percentage is 26.39, and the average loss percentage is -2.28. The event filter is false, meaning no events were filtered out. Fees are 5 basis points on each side of a trade, fills are done at the next open, and cross signals happen before the prior close. The strategy was reset to flat in January 2025 and had a forced final close. There is no event filter, and all trade vectors are archived with code. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line: {"fast":5,"slow":50,"split":"holdout","slippage":0.001,"return":107.5309414384923,"drawdown":12.804689910521416,"win_rate":50,"sample":8,"avg_win_pct":26.773847279214223,"avg_loss_pct":-1.9817146407966244,"event_filter":false}. This is a set of results from a trading strategy, where fast and slow refer to short-term and long-term moving averages, with values of 5 and 50 respectively. The split is a holdout, meaning some data is set aside for testing, and the slippage is 0.001, which is a small amount of price movement. The return is 107.53, the drawdown is 12.80, and the win rate is 50. There were 8 samples, with an average win of 26.77 percent and an average loss of -1.98 percent. The event filter is false, meaning it is not being used. Fees are 5 basis points on each side of a trade, and next-open fills are used, with cross signal prior to close. The strategy was reset to a flat position in January 2025, and a final close was forced. There is no event filter, and all trade vectors are archived with code. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the headline 'ROIV Frozen SMA5/50 train slippage0.0025'. The report is about a trading strategy with a fast period of 5 days and a slow period of 50 days, used for training with a slippage of 0.0025. The results show a return of -36.89354665017363, a drawdown of 59.72865710409123, and a win rate of 17.647058823529413, based on 17 samples. The average win percentage is 32.55357917251535 and the average loss percentage is -8.33398570631834. The event filter is set to false. The strategy uses fees of 5 basis points on each side, next open fills, and cross signal prior close. It was reset to flat in January 2025 and had a forced final close. There is no event filter. All trade vectors are archived with code. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line: a trading strategy called ROIV Frozen SMA5/50 had a train slippage of 0.001. The strategy's parameters were: fast period of 5 days, slow period of 50 days, split set to train, and slippage of 0.001. The results showed a return of -33.59162341883803, a drawdown of 58.064074156841095, and a win rate of 17.647058823529413. The sample size was 17, with an average win percentage of 32.951988520077606 and an average loss percentage of -8.058423631419764. The event filter was set to false. Additional notes mentioned fees of 5 basis points on each side, next-open fills, and cross signal prior to close. The strategy was reset to flat in January 2025 and had a forced final close. There was no event filter. All trade vectors were archived with code. https://runway.adityaperswal.workers.dev/data/stock-bars

Measured Sep7. All-adjusted IEX daily bars2022-01-01 through2026-09-04; source is partial venue, not NBBO. [{"o":36.05,"h":36.7,"l":35.7,"c":35.79,"v":285790},{"o":35.79,"h":35.79,"l":34.56,"c":35.25,"v":357445},{"o":35.31,"h":36.5,"l":35.31,"c":36.14,"v":298932},{"o":36.45,"h":36.495,"l":35.79,"c":36.29,"v":309437},{"o":35.985,"h":36.49,"l":35.985,"c":36.19,"v":416520},{"o":36.16,"h":37,"l":35.66,"c":36.23,"v":495078},{"o":36,"h":37.46,"l":35.9,"c":37.39,"v":411490},{"o":37.915,"h":37.92,"l":36.755,"c":37.41,"v":450140},{"o":37.05,"h":37.5,"l":36.685,"c":36.825,"v":148210},{"o":37.11,"h":37.115,"l":36.23,"c":36.3,"v":301588},{"o":36.16,"h":36.56,"l":35.705,"c":36.36,"v":474554},{"o":36.82,"h":37.275,"l":36.31,"c":36.49,"v":278054},{"o":36.43,"h":36.925,"l":36.37,"c":36.76,"v":329753},{"o":36.845,"h":37.79,"l":36.54,"c":37.57,"v":325209},{"o":37.045,"h":37.045,"l":34.69,"c":34.71,"v":367106},{"o":34.83,"h":35.33,"l":34.015,"c":34.6,"v":464855},{"o":34.63,"h":34.94,"l":34.265,"c":34.505,"v":380868},{"o":34.55,"h":34.98,"l":33.43,"c":34.195,"v":381567},{"o":33.835,"h":34.41,"l":33.695,"c":34.405,"v":223161},{"o":34.18,"h":35.14,"l":34.12,"c":34.945,"v":308698}] https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the data line: Measured Sep 7. All-adjusted IEX daily bars from 2022-01-01 through 2026-09-04, source is partial venue, not National Best Bid and Offer, with the following hashes: ROIV is 837dde4f0a1aac551132dc7d00c9743acd2c152ac21a9f4c78dc153374401190 and SPY is 6d3f073f6a7e602f5d50a41dd3398c97568a1f1a643b249022d51806139387d1. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data: Measured on September 7, the analysis used daily bars from January 1, 2022, through September 4, 2026, from the IEX, which is a partial venue, not the National Best Bid and Offer, a system that provides the best bids and offers for stocks. The data included the following metrics: market capitalization per stale share in US dollars, cash per stale share, cash as a percentage of market capitalization, quarterly burn rate as a percentage of cash, annualized burn in US dollars, number of quarters with static cash, percentage decline in cash per quarter, growth rate of cash burn, and hypothetical stop and target prices. The data also included support resistance ratio, one share gap 20 and 30 loss, full fund gap 20 loss, fund gap 20 notional limit, and shares affordable, with values of 25241.577759174997, 5.31906352174034, 15.221243444671167, 7.040557697623321, 1082.016, 14.203420282140005, -10.479228805035056, 32.35151651556147, 33.7875, 36.68125, 1.1460396039603957, 6.989000000000001, 10.4835, 9.828000000000001, 42.549499999999995, and 1, respectively. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data: Measured on September 7, the data used daily bars from the IEX from January 1, 2022, through September 4, 2026, which is a partial venue, not the National Best Bid and Offer, a term that refers to the best available price to buy or sell a stock. The results of a five-session training-only Monte Carlo simulation are as follows: the simulation used 100,000 paths, 752 training days, and 5 sessions, resulting in a mean percentage of 0.46984148793208946, a 5th percentile of -12.527142252881227, a 95th percentile of 14.867952798334475, and a loss probability percentage of 49.822. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the headline 'ROIV 2025–September4 2026 ROIV/SPY daily regression'. Measured on September 7, the analysis used all-adjusted IEX daily bars from January 1, 2022, through September 4, 2026. The source of the data is a partial venue, not the National Best Bid and Offer, which is a system that provides the best available prices for buying and selling securities. The results of the analysis are as follows: there were 420 data points, the correlation was 0.3902083971864555, the daily alpha percentage was 0.2189359574824113, the beta was 0.9182525331040446, the R-squared value was 0.15226259323482216, the daily mean percentage was 0.2873941561470709, the daily standard deviation percentage was 2.462710923071691, the minimum percentage was -7.612456747404838, and the maximum percentage was 22.25112319697329. https://runway.adityaperswal.workers.dev/data/stock-bars