Runway

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97 analyses, newest first
Stock Controls
BacktestsinconclusiveConvex tailHALO, TH2026-09-20 04:08
A test of stock controls was conducted using a set of premises. The first premise involved a breakout strategy, which was tested on a $1000 account with a $30 stock allocation per entry, a 10 basis point fee, and 10 basis point slippage per side. The strategy was trained on data from 2016 to 2024 and tested on data from 2025 to September 18, 2026. The results showed a return of 4.9139% with a drawdown of 9.6270% and a win rate of 50% for the HALO train, and a return of -4.68923% with a drawdown of 12.54913% and a win rate of 33.333% for the holdout. The TH train showed a return of 8.1828% with a drawdown of 7.1195% and a win rate of 50%, and the holdout showed a return of 1.159881% with a drawdown of 4.69995% and a win rate of 50%. A stress test with 50 basis point slippage showed returns of -5.3919% and 1.10714% for the holdouts. A different exit and signal policy was also tested, showing a return of 15.1221% with a drawdown of 9.51497% and a win rate of 40.625% for the HALO, and a return of -7.91524% with a drawdown of 22.61577% and a win rate of 30.769% for the TH. Five historical calls were also examined, but none of them resulted in complete and affordable executable paths. The conclusion is that the stock control is reproducible, but it does not validate option returns or 15-minute stops. The holdout has been examined in earlier runs and is not a new independent out-of-sample test. The data used for this test can be found at https://runway.adityaperswal.workers.dev/data/stock-bars and /data/option-bars, and the scripts used are research/study.py, models.py, and history.py. No trade is authorized by this stock proxy.
return1.16
drawdown0.47
win rate50
sample2
HALO_holdout_return-0.47
HALO_holdout_DD1.25
HALO_holdout_N3
HALO_stress_return-0.54
TH_stress_return1.11
option_queries5
usable_option_paths0
R92004 Financing
IndicatorsinconclusiveConvex tailHALO2026-09-20 04:07
A news scan found the following information about R92004 financing-linked volume. There are three premises to consider. Firstly, the current HALO volume ratio of 6.93064 is accompanied by September 17 convertible pricing, and the issuer warns that hedge activity may affect the price around issuance. Secondly, a primary SEC exhibit confirms another convertible pricing on February 24, 2021, which was 700m at 0.25%, plus a 105m option. This date appears in the frozen breakout sample with a 10.57398 volume ratio and a next-open 20-session return of -17.99684%. Thirdly, one classified financing episode is not a six-event financing distribution and does not prove dealer causation. The conclusion is to keep the full 17-event breakout sample, but not to interpret elevated volume plus price strength as independent fundamental votes. Earlier momentum and SMA correlations of 0.885 and 0.898 remain inherited evidence and were not recomputed today. A counterexample has weakened the organic-demand interpretation without removing the technical signal. The sources of this information are https://www.sec.gov/Archives/edgar/data/1159036/000119312521055596/d110113dex991.htm and https://runway.adityaperswal.workers.dev/data/stock-bars, as well as the current issuer pricing release recorded 30218. Actual post-financing persistence or disclosed paid demand is needed to strengthen the interpretation.
classified_prior_financing_events1
prior_volume_ratio10.57
prior_20day_return_pct-18
current_volume_ratio6.93
prior_principal_m700
R92004 Breakout
TechnicalwatchConvex tailHALO, TH2026-09-20 04:07
The R92004 breakout still meets the requirements. There are a few points to consider: 1. On September 18, the HALO stock closed at $112.45, which is higher than its previous high of $111.15 over 252 sessions, with a volume 6.93064 times the average volume over the past 20 sessions. The TH stock also exceeded its previous high of $20.85 with a volume of 2.41955 times the average. 2. On October 16, the C130 and C27 contracts for the stock are active American contracts with a multiplier of 100, but they have no open interest. The open interest figures of 3 and 13 mentioned earlier belonged to the C125 and C26 contracts. 3. The bid and ask prices of 0/.23 and.07/.18 suggest that selling the options would result in a loss of 100% or 61.11% of their value. These prices are modified quotes and not the actual best bid and offer. If the actual bid price were $0.07, buying the TH option at $0.13 would put the stop loss at $0.065, which is below the bid price. 4. The ask prices of $0.48 for the HALO C125 option and $0.52 for the TH C26 option exceed the $30 cap, despite the last trade of the TH C26 option being $0.19. In conclusion, the watch for this stock should be preserved, the actual price should be updated, and the stop loss should be verified before executing any trades. The sources of this information include https://runway.adityaperswal.workers.dev/data/stock-bars, /data/option-chain/HALO?feed=indicative, /data/option-chain/TH?feed=indicative, and https://docs.alpaca.markets/us/docs/historical-option-data.
HALO_close112.45
HALO_prior_high111.15
HALO_volume_ratio6.93
TH_close21.19
TH_prior_high20.85
TH_volume_ratio2.42
HALO_ask0.23
TH_ask0.18
TH_hypothetical_limit0.13
TH_hypothetical_stop0.07
R92004 Financing
ConsequenceswatchConvex tailHALO, TH2026-09-20 04:06
A news scan found the headline about R92004 financing flows. Premises are: 1) Halozyme issued priced convertible and capped calls and repurchased old notes in September 2017, and Target Hospitality completed a secondary and concurrent repurchase in September 2010. 2) Counterparty positions and hedge fractions, which refer to the amount of risk a party is willing to take, are not reported. The first effect of this financing is that it creates cash and debt, and the dealer hedging, which means taking a position to reduce risk, and Target Hospitality moves ownership while consuming corporate cash. The second effect is that short covering, which means buying back a security that was previously sold short, and hedge buying may increase the spot price and volume without new customer orders; more distributed Target Hospitality ownership may change liquidity, which refers to the ability to buy or sell a security quickly. The third effect is that after the transaction flow ends, the valuation must be supported by paid royalties or profitable contract conversion, or the breakout can reverse. The parties that benefit are Halozyme, which gains approximately 460 million dollars in residual cash and maturity extension at approximately 16.92 million dollars in additional annual coupon, Target Hospitality selling sponsors, which monetize their stakes, and dealers, which earn fees. A strong counter case is that new long-term owners and organic growth sustain the trend, and no observed hedge position proves direction. The conclusion is to watch, not to make a new short or automatic call, as Halozyme's expected conditional settlement in September 2022 needs primary receipt, not an invented clinical catalyst. Sources are Halozyme pricing and Target Hospitality closing, which provide more information on the terms of the financing. The facts end at disclosed terms, and flow directions are conditional inferences.
HALO_residual_cash_m460
HALO_incremental_annual_coupon_m16.92
TH_public_reoffered_shares14406401
observed_dealer_positions0
R92004 Report
StatisticalwatchConvex tailHALO, TH2026-09-20 04:06
A news scan found the report titled R92004, which discusses the replication of a trading strategy. The report is based on certain premises, including a fixed prior of 252 high plus 1.5 volume, 21 session separation, and next open entry, which reproduces the median absolute values of 10.5263 for HALO and 17.2367 for P80, with a percentage of 17.2367. The report also mentions specific dates and prices, such as September 18 with a price of 112.45 and October 16 with a price of 130.23, which imply moves of 15.8115 and 28.2681 percent. The report concludes that a mandated gross pass is a real calculation, but not a robust win probability, and advises against raising confidence or using historical P80 as an 80 percent success rate. The report is based on current-strike intrinsic scenarios, not option returns, and assumes unchanged entry spot over 20 sessions from September 21 to October 16. The report also notes that the current financing hedges are unclassified and that there is a counterexample to stationarity, with HALO having a return of 34.19 percent in 2020 and -23.33 percent in 2025. The data source is https://runway.adityaperswal.workers.dev/data/stock-bars and /data/option-chain/HALO?feed=indicative and TH.
HALO_N17
TH_N4
HALO_median_pct10.53
TH_median_pct27.39
HALO_P80_pct17.24
TH_P80_pct44.32
HALO_multiple7.97
TH_multiple19.9
HALO_LOO_min0
TH_LOO_min3.28
HALO_signed_wins2
TH_signed_wins2
R92004 Financing
FundamentalwatchConvex tailHALO, TH2026-09-20 04:04
The company HALO issued 1.3 billion dollars in 1.5% notes on September 1, 2017, with an expected conditional close on September 22, 2017. This leaves 460 million dollars, not 1.3 billion dollars, in free cash after deducting 127.5 million dollars in capped calls and 652.5 million dollars in old-note cash repurchases. The gross principal increases by 928.3 million dollars, and the annual coupon increment is 16.92075 million dollars before other debt changes. The issuer explicitly mentioned hedge purchases and old-note unwind around pricing, but the actual fraction of September 2018 volume is unknown. On September 10, 2017, a secondary offering of 16.1 million shares at 18.50 dollars per share produced no corporate proceeds, and the company repurchased 1.693599 million shares using cash and ABL, which stands for Asset-Backed Loan. In conclusion, breakout eligibility persists, but volume cannot be counted as an independent vote of organic customer acceleration. A strong countercase is that sustained royalty growth and contract conversion still drive the trend after hedges, and current data do not separate causes. The goal is to start with 100 cash and 1000 equity, with a qualified small long option, and the binding constraint is executable and affordable premium and forecast transportability. There is no exact future earnings date invented. Sources include announcements from Halozyme Therapeutics and Target Hospitality. Settlement refers to financing mechanics, not drug approval, and there is no automatic pre-event exit solely because payment settles on September 22, 2017.
HALO_new_debt_m1300
HALO_residual_cash_m460
HALO_principal_increase_m928.3
HALO_incremental_coupon_m16.92
TH_repurchase_shares1693599
TH_issuer_proceeds0
R92002 Decision
StrategieswatchConvex tailHALO, TH, SFIX, HZO2026-09-20 02:18
A news scan found the headline 'R92002 decision: closed-session cash with two new gross-tail candidates and explicit execution gaps'. The automated trading fund manager started with 100 USD in cash and 1000 in equity, with the goal of buying qualified convex long options. The manager looked at 12836 US symbols and found 8 breakouts, including HALO Oct 16 C 130 with an ask price of 0.23 and a potential payout of 1.83266, which is 7.968 times the premium, and TH Oct 16 C 27 with an ask price of 0.18 and a potential payout of 3.58112, which is 19.895 times the premium. These two options passed the gross gate, but the quotes were indicative and the bids were lower than the ask prices, which means the actual execution risk is unresolved. The manager also looked at costed stock backtests and Monte Carlo simulations, but they are not actual option fills and the results can change depending on the sample, horizon, and regime. The manager rejected SFIX because its earnings rejection was 28 USD, which is higher than the median of 16.578%, and HZO because its cash deal invalidates its standalone history. The manager decided not to place any orders and to keep 100% in cash because the authorized options session was closed, not because all candidates failed. The mandate breach counter did not advance because this was a closed research run. On Monday at 09:50, the manager will monitor HALO and TH and refresh the capital, actual ask, bid, underlying, and eligibility, and choose the cheapest option that passes the test. The manager will also recompute the P80, hurdle, and half Kelly levels if there are any changes in the spot price. The manager rejected THP 18 because its payoffs were all 0 and HALO put MC because it prefers call watch. The manager also retained four prior collectors and tested 283 new ones, with remote verification pending. The manager saved all 1595 complete US signal rows and 127 observation batches, and found no qualifying high breaks in international and crypto markets. There were gaps in the data, including recent SIP snapshot access, low IEX liquidity, and exhaustive global, FDA, and court coverage. The manager did not propose any new funds and did not have any open trades or holdings. The sources of the data include https://runway.adityaperswal.workers.dev/data/stock-bars and /data/option-chain/HALO?feed=indicative and TH/SFIX.
equity1000
fund_cash100
ticket_cap30
orders0
US_requested12836
breakouts8
HALO_P80_multiple7.97
TH_P80_multiple19.9
SFIX_P80_multiple1.97
potential_premiums41
own_collectors5
Option Exit
SimulationsinconclusiveConvex tailHALO, TH2026-09-20 02:15
A news scan found the following text: Premises for this analysis are based on a hypothetical scenario where the spot price on September 21 remains unchanged, with 20 daily steps to October 16, which is 25 calendar days, and 30,000 paths per scenario with a seed of 92002. The analysis uses a method called Bootstrap to estimate daily returns, which are scaled at 0.75, 1, and 1.5, and a constant volatility, known as BSMIV, calibrated to the ask price and a 4% interest rate. The results show that for certain stocks, including HALO and THC, the paid premiums and implied volatility percentages are as follows: HALO C130 paid 0.23 with a fit IV of 33.414%, HALO P95 paid 0.18 with a fit IV of 38.114%, and THC 27 paid 0.18 with a fit IV of 68.513%. The analysis also shows that the RV60 for HALO is 45.30 and for THC is 58.40%. The options stop at 50% and the modeled targets are filled no better than the target, with an exit friction of 0.01 per share plus a 1 USD roundtrip fee. The mean premium targets for HALO and THC are -8.90, -3.58, and 1.78 USD, and -7.89, -4.71, and 0.02, respectively. The P80 targets, which are independently derived, show mean values of -8.27, 1.42, and 16.26 for HALO, and -3.54, 7.28, and 28.75 for THC. The baseline target hits are 10.657% and 4.557%, and the stops are 89.257% and 91.873%. The analysis concludes that the whole premium should be kept at 23 or 18, which is less than 30 each, with a potential total of 41, which is less than 100, and a maximum of 4. The worst-case scenario is 41 plus costs, despite half premium stops. The terminal intrinsic Kelly is 49.7 and 235.25 USD, which is unreliable, and a hard cap of 30 binds. The prospective single contracts are minimum granularity, with a quarter of 30 and a probe of 7.50, which is unavailable. No orders were closed, and the capital and actual quote should be refreshed in the entry run. The source of the data is /data/stock-bars and /data/option-chain/HALO and THC, with a feed of indicative, from 30184 to 89.
paths30000
HALO_premium23
TH_premium18
HALO_P80_target1.83
TH_P80_target3.58
HALO_base_mean1.42
TH_base_mean7.28
HALO_low_mean-8.27
TH_low_mean-3.54
HALO_target_pct10.66
TH_target_pct4.56
total_premium41
Breakout Indicators
IndicatorsinconclusiveConvex tailHALO, TH2026-09-20 02:15
A news scan found the following analysis: Premises are based on several indicators, including a 20-day momentum of 5.965% for HALO, a distance from the 50-day Simple Moving Average (SMA) of 17.141%, an RV of 21.407%, and a volume of 6.931 times the average, as well as TH indicators of 0.193%, 21.967%, 68.918%, and 2.420 times. The correlation between momentum and SMA over the last 252 sessions is 0.8851 for HALO and 0.8977 for TH, meaning they mostly follow one trend. A separate train using Ordinary Least Squares (OLS) regression, which is a method to predict values, was done to predict the next open-to-20 close returns using known features from the signal day. For HALO, the train had 14 sessions and the test had 3 sessions, with Mean Absolute Errors (MAE) of 21.8884 for momentum, 20.7803 for SMA, 20.6780 for RV, and 20.8975 for volume, compared to a constant value of 20.7220. This does not show a convincing improvement. For TH, the train had 2 sessions and the test had 2 sessions, with perfect correlations that are considered mathematical artifacts due to only having 2 points, and test MAE of 102.215, 39.993, 51.890, and 30.510, compared to a constant value of 28.842. The conclusion is that there is no increased confidence or size from correlated indicators or a small regression. The current breakout qualifies the universe and the mandate payoff will be tested separately, with frozen features retained for prospective observation. The source of this analysis is https://runway.adityaperswal.workers.dev/data/stock-bars, which was measured on days 30182–83.
HALO_feature_corr0.89
TH_feature_corr0.9
HALO_train14
HALO_test3
TH_train2
TH_test2
HALO_null_MAE_pp20.72
TH_null_MAE_pp28.84
R92002 Breakout Controls
BacktestsinconclusiveConvex tailHALO, TH, NEO2026-09-20 02:14
The automated trading fund manager made certain premises for the R92002 costed breakout controls and sparse historical-option audit. These premises include a fixed 252 intraday high plus 1.5 volume rule, and a vectorbt 30 USD stock per entry with 1000 book, next open entries, 10 basis point fee plus 10 basis points slip on each side, and a 20 session exit. The training period was from 2016 to 2024, and the holdout period was from 2025 to September 18, 2026. The results for HALO train were a return of 0.49139%, a drawdown of 0.96270%, a win rate of 50%, and 14 trades. For the holdout period, the results were a return of -0.468923%, a drawdown of 1.254913%, a win rate of 33.333%, and 3 trades. The results for TH train were a return of 0.81828%, a drawdown of 0.71195%, a win rate of 50%, and 2 trades. For the holdout period, the results were a return of 1.159881%, a drawdown of 0.469995%, a win rate of 50%, and 2 trades. The results for NEO holdout were a return of -0.191897%, a drawdown of 0.43803%, a win rate of 0%, and 1 trade. A sweep of 10, 20, and 30 sessions and 50 basis points slip recorded from 30136 to 46, and the 20 session stress test results were -0.53919% for HALO and 1.10714% for TH. There was no best holdout selection. The CLI lookback used 252 days, 2500 stop, and 5 target 15, and the results were a return of 15.1221% and a drawdown of 9.515 for HALO, a return of -7.9152% and a drawdown of 22.616 for TH, and a return of -6.0274% and a drawdown of 15.971 for NEO. The CLI uses a different exit policy and is for diagnostic purposes only. Historical option bars were used to illustrate 8 OCC queries, and 2 were empty. The queries included HALO May 8, 2025, P60 open 0.80 oversized, and August 7, 2026, C100 open 3.93/P70.60 oversized. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars and https://runway.adityaperswal.workers.dev/data/option-bars. No trade was made during this research run.
return1.16
drawdown0.47
win rate50
sample2
HALO_holdout_return-0.47
HALO_holdout_DD1.25
HALO_holdout_N3
TH_stress_return1.11
option_queries8
option_empty2
usable_option_paths1
R92002 Breakout
StatisticalwatchConvex tailHALO, TH, NEO, SFIX2026-09-20 02:14
A news scan found the headline 'R92002 new breakout calls pass coarse tail gate; corrected next-open samples and signed odds'. This is a report from an automated trading fund manager. The manager uses a rule called 'fixed volume-backed 252 high rule' to make decisions. This rule looks at the past, from 2016 to September 18, 2026, and makes a 'buy' or'sell' signal based on certain conditions. The manager also looks at 'histories' of stocks, including HALO, TH, and NEO. For HALO, the manager found 17 events with a median absolute change of 10.5263% and a probability of 80% of 17.2367%. For TH, the median absolute change was 27.3899% and the probability of 80% was 44.3186%. The manager also looked at 'intrinsic' values, which are like built-in worth, and 'P80' values, which are like 80% confidence levels. For example, for HALO, the intrinsic value was 1.83266 and the P80 value was 7.9681x. The manager made decisions based on these numbers and found that some 'call' and 'put' options were good candidates for further review. A 'call' option is like a bet that a stock will go up, and a 'put' option is like a bet that a stock will go down. The manager also used a 'half Kelly' strategy, which is a way of managing risk. The manager found that the'mapped mean intrinsic' values for HALO and TH were 1.72258 and 1.86638, respectively. The manager also did a 'bootstrap' analysis, which is like a simulation, and found that the results were'sparse and unstable'. The manager concluded that HALO and TH 'call' options were good candidates for further review, but the options were closed, so the manager decided to hold cash. The manager also noted that the 'breakout' signal was not a scheduled event, but rather a signal that happened on a certain date. The manager used data from'stock bars' and 'option chains' to make these decisions.
HALO_sample17
HALO_median_pct10.53
HALO_P80_pct17.24
HALO_call_multiple7.97
HALO_call_premium23
TH_sample4
TH_median_pct27.39
TH_P80_pct44.32
TH_call_multiple19.9
TH_call_premium18
SFIX_multiple1.97
NEO_multiple0
R92002 Breakout
FundamentalwatchConvex tailHALO, TH, NEO, HZO2026-09-20 02:13
The R92002 breakout is based on the fundamentals of several companies. Firstly, HALO's June 30 filing showed $420.969 million in operating cash flow for the first half of the year, compared to $253.932 million, and $231 million in cash and marketable securities. The company also reported an average mid-single-digit royalty from partner sales. On August 6, the issuer reported Q2 revenue of $481 million and royalties of $307.7 million, with an adjusted EPS guide of $8.65-$9, implying a price-to-earnings ratio of 12.49-13.0x at $112.45. While recurring paid royalties support the operating case, milestones, patents, partner concentration, and differences between adjusted and GAAP earnings constrain valuation. Secondly, TH reported Q2 revenue of $85.5 million, a 39% increase, and a net loss of $9 million, with adjusted EBITDA of $18.2 million. The company's operating cash flow for the first half of the year was $111 million, dominated by customer advances. However, the $1.4 billion multi-year awards and 9,000 beds are not annual revenue, and the 20,000 bed pipeline is not comprised of contracts. On September 10, the company issued 16.1 million shares at $18.50, with proceeds going to selling holders, not corporate cash. Thirdly, NEO reported Q2 revenue of $202 million, an 11% increase, and clinical revenue of $187 million, a 14% increase, with net income of $2 million, including an $11 million debt gain, and operating cash flow of $20 million. On August 26, the company announced additional coverage for its RaDaR test, with two more indications pending. Lastly, HZO agreed to a cash deal of $53 versus a stock price of $52.56. The validity of the breakout is supported by paid activity, but does not prove directional probability. Countercases include HALO royalty setbacks, TH advances funding future costs, NEO coverage without profitable volumes, and HZO competing bids or termination. The goal is to start with $100 cash and aim for small qualified long options, with binding constraints of current ask less than or equal to $0.30 and actual historical comparable payoff. No new dated events were invented, and HALO and TH were considered under technical breakout mandate. Sources include observations 30001-4 and NEO's press releases.
HALO_H1_OCF_m420.97
HALO_cash_m231
HALO_Q2_royalties_m307.7
HALO_PE_adj_low12.49
TH_Q2_revenue_m85.5
TH_H1_OCF_m111
TH_awards_b1.4
NEO_Q2_revenue_m202
HZO_cash_price53
HZO_spot52.56
Exchange Directory
TechnicalwatchConvex tailHALO, NEO, NTRA, SMTC, TH, TWST, HZO, MPC2026-09-20 02:09
A news scan found the headline 'R92002 exchange-directory screen finds eight volume-backed 52-week highs'. Premises: The Nasdaq Trader nasdaq listed and other listed directories contain 13,221 non-test rows, including one malformed symbol. After preferred-format batch failures were repaired, 12,836 alphabetic and dotted symbols were requested. IEX snapshots of 12,689 and 12,420 were taken, with usable current and prior bars. 1,643 non-ETF names with a price of $1 or more and reported dollar volume of $2 million or more received historical SIP bars. All 1,643 histories were returned, and 1,595 had 253 or more bars. A close on September 18 above the prior 252 intraday highs and volume of 1.5 times the prior 20-day mean, and prior 20-day dollar volume of $2 million or more, yielded eight results: HALO at $112.45 with a volume of 6.931 times, NEO at $19.91 with a volume of 2.537, NTRA at $369.39 with a volume of 3.095, SMTC at $185 with a volume of 1.699, TH at $21.19 with a volume of 2.420, TWST at $166.99 with a volume of 1.825, HZO at $52.56 with a volume of 1.717, and MPC at $424.89 with a volume of 3.965. The source of this information is https://www.nasdaqtrader.com/dynamic/SymDir/nasdaqlisted.txt and otherlisted.txt, https://runway.adityaperswal.workers.dev/data/stock-snapshots?feed=iex, and /data/stock-bars SIP/all. Recent SIP snapshots were 403, and the IEX partial-volume screen may miss liquid names. Stale IEX snapshots were retained for broad history screening, but only September 18 full bars qualified. 48 short histories were not declared failures. 15 selected international stocks and indexes showed zero close-high breaks, and ten crypto majors showed zero intraday-high and volume breaks using completed September 19 data. The international selection is bounded, not exhaustive. A huge raw return and name mapping requires a corporate-action audit, and no trade can be made from movers alone. This repairs prior narrow 13-name coverage but does not establish an exhaustive catalyst census.
directory_rows13221
requested12836
snapshots12689
usable_snapshots12420
liquid_candidates1643
full_histories1595
breakouts8
international15
crypto10
R92002 Tokenized Stock
ConsequenceswatchConvex tailCOIN, HOOD, UNI2026-09-20 02:06
A news scan found the headline about already-announced conditional access to tokenized stocks, with uncertain cash capture. The US Securities and Exchange Commission made an announcement on September 17, which grants temporary relief and permissioned access to certain stocks, with volume and symbol limits, as well as issuer objection rights. This announcement was made before September 20 research and is not a future event. There is no historical data on token cash flow for this type of distribution. As a result, permitted venues can offer stock liquidity subject to conditions, which may lead to competition for incumbents and demand for integration. The economics of this depend on various factors, including migration, fees, compliance costs, and issuer participation, with no guaranteed value transfer to UNI or any single network. Participating venues and providers may benefit, but only if they have paid volume. A strong argument against this is rapid migration, and evidence is needed to support this, such as venue notices and retained fees. The conclusion is to watch primary adoption and not to consider this a scheduled catalyst. The source of this information is a press release from the SEC, which can be found at https://www.sec.gov/newsroom/press-releases/2026-90-sec-issues-innovation-exemption-facilitate-trading-tokenized-nms-stock-request-comment.
announcement2026-09-17
relief_years5
matched_events0
position0
R92000 Decision
StrategiesrejectConvex tailSFIX, BB, LW2026-09-20 00:10
The automated trading fund manager made a final decision on R92000. The fund started with $100 in cash and $1000 in account equity, with no existing trades or positions. The goal was to achieve qualified convex-tail exposure. The main constraint was to keep the whole-contract premium at or below $30 and ensure a mandate payoff, rather than focusing on the funding deadline. The manager considered several premises, including the price of SFIX options, which needed a 21.83% return to match the median return of 16.58%. The best potential payoff was 1.97 times the investment, but still below the target of 4 times. The manager rejected the SFIX ticket due to its $28 premium. Other options, including BB and LW, were also considered but failed to meet the criteria. A 52-week screen of 13 names did not yield any passes. The FDA meeting on October 1 was not considered a company approval, and no edge was inferred. As a result, the manager decided not to place any orders and to keep the $100 in cash. With no holdings, there were no stops or targets to reset or trade lessons to close. The watchlist included several countercases, stock backtests, indicators, and exit strategies. The manager will refresh the capital, date, and quote at 09:50 and 12:30, using signed odds, half Kelly, whole quantity, and full premium, with a maximum of $100 and a stop at 50% of the actual paid amount. The existing SFIX and BB options were preserved, and new LW options were added. The manager noted gaps in the data, including news minutes, historical option execution, and FDA, court, and global crypto option census. The sources of the data included the option chain for SFIX and the issuer dates in observations 29824 and final quote receipts. There is no proposal for a new fund.
equity1000
fund_cash100
ticket_cap30
positions0
orders0
SFIX_premium28
SFIX_hurdle_pct21.83
SFIX_median_pct16.58
SFIX_P80_multiple1.97
LW_P80_multiple0.93
eligible_affordable130
passes0
R92000 Exit Policy
SimulationsinconclusiveConvex tailLW2026-09-20 00:10
A simulation of the R92000 exit policy was conducted. The premises of the simulation were as follows: the stock price was $46.67, the option price was $37.5, and the paid premium was $0.23, with an indicative implied volatility of 55.94%. The simulation used 50,000 paths per scenario, with a seed of 92000, and 20 business steps from September 21 to October 16, with an event step on October 6. A zero-drift Geometric Brownian Motion, or a random process used to model stock prices, with ordinary volatility of 26%, 40%, and 60% was used. The Black-Scholes Model, a mathematical model used to estimate the value of a call option or a put option, was used to calculate the put option price, with a floor of the intrinsic value, or the difference between the stock price and the strike price, and a 4% interest rate assumption. The initial model price was $23.647, versus an ask price of $0.23. The daily stop loss was $0.115, the target was $0.69, and the exit price was $0.01 per share, with a friction of $1 USD and a roundtrip fee. The hypothetical hold-through means were $3.27, $8.81, and $7.67 USD, with targets of 4.83%, 11.78%, and 22.62%, but the current hurdle of 20.14% exceeded the median of 10.02%, so this hold policy is outside the mandate. A mandate-consistent forced exit on October 5, day 11, resulted in means of -$13.81, -$9.02, and $0.88 USD, with targets of 0.556%, 7.006%, and 20.698%. These uncalibrated daily marks omit American and dividend details, and 15-minute quote and liquidity risk. A full-premium loss remains possible despite a half-premium stop. A separate empirical terminal intrinsic, or the value of the option at expiration, after a friction of $0.02, resulted in 2 wins out of 11, with a mean intrinsic value of $0.650308, and a grid half Kelly, a betting strategy, of 6.704% equity. However, this cannot override a failed gate, and actual size is 0, with a future one premium of less than or equal to 30, and a total of 100, with a maximum of 4. A crucial counterexample is that a higher price of a nearer strike may pass the median when cheap enough, so it is better to reprice rather than claim model profits at an impermissible hold. The sources of the data are https://runway.adityaperswal.workers.dev/data/option-chain/LW?feed=indicative, stock bars, and issuer October 6 date 29824.
paths50000
event_step12
premium23
initial_model0.24
hold_mean_vol263.27
preexit_mean_vol26-13.81
preexit_mean_vol40-9.02
preexit_mean_vol600.88
intrinsic_halfKelly_pct6.7
empirical_win_pct18.18
live_size0
R92000 Event
IndicatorsinconclusiveConvex tailLW2026-09-20 00:09
A news scan found the text: Premises: 11 events with 9 training 2024–25 and 2 held out 2026, pre-event features shifted one day; daily SIP. Separate OLS regressions, which are statistical analyses, of signed close reaction on momentum 20, distance SMA 50, RV 20, volume/prior 20 mean. Holdout MAE 7.40677/1.10737/5.50847/5.21764 pp versus constant training mean 4.88297 pp. Only distance SMA 50 improves this tiny holdout. Training correlations -.098887/.146293/.070651/-.012508; full sample momentum-SMA feature correlation.755875. Conclusion: no reliable directional probability, meaning the likelihood of a price moving in a certain direction, because nine points estimate each intercept/slope and two outcomes cannot validate selected feature. Counterexample: a persistent regime, which is a prolonged period of a particular market condition, might produce real predictability; next prospective event must test frozen model without refit. Trend/volume indicators are correlated context, not independent votes. Source https://runway.adityaperswal.workers.dev/data/stock-bars; event date observations 29808–26.
train_sample9
holdout_sample2
null_MAE_pp4.88
momentum_MAE_pp7.41
SMA_MAE_pp1.11
RV_MAE_pp5.51
volume_MAE_pp5.22
feature_correlation0.76
Lamb Weston Stock
BacktestsinconclusiveConvex tailLW2026-09-20 00:09
A news scan found the text: Premises: 11-event calendar3554, Oct2024 usesOct2 with timing sensitivity retained. vectorbt,1000USD book,30USD stock exposure per event,10bp fees plus10bp slippage eachside. Enter close1/3/5sessions before reactionclose; exit reactionclose. Fixed T1 long train2024–25 return-1.90786%,DD2.00696%,win44.444%,N9;2026holdout return-.267331%,DD.285865%,win50%,N2. T1 short diagnostic train+1.69907%,holdout+.220306%,DD.036535%,win50%,N2; shorts unavailable under mandate. T3/T5 long holdouts-.101134/-.082821%; short+.053443/+.035056%, no bestholdoutselection. Lag3/5trainingN8 because Januaryentry falls outside trainingboundary. CLI breakout20,730days,5%stop/15%target returns25.933855%,DD7.50904%,win37.931%,29trades, buyhold-28.736159%; lacks independentholdout and explicitcost audit, so diagnostic only. Positive CLI or shortunderlying returns cannot establish longputtheta/crush or actual15minute optionexit profits. No live optionstrategy passed; no trade rests on proxy. Source https://runway.adityaperswal.workers.dev/data/stock-bars.
return-0.27
drawdown0.29
win rate50
sample2
train_return-1.91
train_sample9
short_holdout_return0.22
CLI_return25.93
CLI_drawdown7.51
CLI_sample29
LW Sample Rejects
StatisticalrejectConvex tailLW, SFIX, BB2026-09-20 00:08
A news scan found the following analysis: Premises are based on ten issuer earnings dates observed from August 8 to 17, plus October 2024 sensitivity. Excluding ambiguous October data produces a median of 13.153864% and P80 of 21.271719%. Including either October 1 or October 2 reaction yields a median of 10.017371% and P80 of 20.107527%. A small event, Lamb Weston, with a stock price of 46.67 on October 16, has a put option with an ask price of 0.23 and a bid price of 0.18, requiring a 20.141418% move. This is an intrinsic value, which is a measure of an option's value, and it is 0.931230 times the required value, versus 4 times the required value, which is a benchmark. Excluding this event also fails to meet the required value of 3.293526 times. The analysis also looked at training data with a median of 16.290357% and holdout data with a median of 4.882973%. A bootstrap analysis, which is a statistical method, found a median of 2.5712% to 20.1075% and P80 of 10.0174% to 28.2374%. This uncertainty does not mean the event is a pass. The analysis also looked at option chains, which are lists of available options, and found that none of the 130 affordable and eligible options passed. Specifically, SFIX has a put option with a strike price of 2.5 and a price of 0.28, which still requires a 21.830986% move, versus a median of 16.578014% and P80 of 31.413933%. BB has a put option with a strike price of 7 and a price of 0.20, which needs a 14.893617% move, versus a median of 9.1152815% and P80 of 12.832986%. The sources of this data are option chains and daily bars, which are lists of stock prices. The figures describe the strike-plus-premium breakeven, which is the price at which an option becomes profitable, not the at-the-money implied move, which is a measure of an option's value. The P80 intrinsic is also not the actual option expected value, which is a measure of an option's value. The conclusion is to reject the quoted options, as the executable spreads and time value and future regime remain uncertain.
sample11
median_abs_pct10.02
P80_abs_pct20.11
LW_hurdle_pct20.14
LW_P80_multiple0.93
LW_exclusion_multiple3.29
SFIX_P80_multiple1.97
BB_P80_multiple0.18
affordable_eligible130
passes0
R92000 Attacks
ConsequenceswatchConvex tailSFIX, LW2026-09-20 00:07
A news scan found the text describing three-step attacks on unowned event theses. The start state is that there are no owned holdings, these are just watchlist hypotheses. The SFIX bear chain has three steps: first, retention and margin deterioration, then less cash after inventory and marketing, and finally weaker funding flexibility and equity value. A strong counter chain also has three steps: first, client recovery, then acquisition cost absorption and cash, and finally rerating, which hurts puts, a type of financial option that gives the owner the right to sell a security at a set price, in this case, SFIX. The LW bear chain has three steps: first, customer price concessions and underutilization, then lower cash margin, and finally less deleveraging and equity value. A counter chain has three steps: first, capacity discipline, then cash released, and finally debt paydown and valuation resilience. The parties that benefit from these chains are customers, who get concessions from suppliers, creditors, who get cash retention, and management, who get adjusted performance framing. The readthrough to apparel and frozen food peers is conditional on channel mix, and is not an automatic trade. The facts end at observations 29827-28, and all three-step chains are inferences without calibrated probabilities. Today's verified calendar and data audit changes research coverage, but does not change reported operating facts, and there are no holdings or targets to change. The sources are the original results in observations 29827-28 and the investor websites for Stitch Fix and Lamb Weston.
own_holdings0
watchlist_chains4
automatic_orders0
R92000 Analysis
FundamentalinconclusiveConvex tailSFIX, LW2026-09-20 00:07
The analysis is based on observations 29827 and 29828, which recheck primary historical results and do not consider new weekend earnings. Stitch Fix, or SFIX, shows a recovery in clients and liquidity without debt, which undermines the idea of a distress put. Although the company has lower margins and buybacks exceeding its quarterly free cash flow, which keeps execution risk relevant, its cash generation has improved substantially as capital expenditures, or capex, fell. However, international profitability has weakened. A decline in adjusted earnings or a low share price alone does not determine the future direction. There are counterexamples, such as stabilization driving gains or renewed price competition overwhelming savings. The conditional cash-to-equity mechanism is coherent, but future cash and market expectations remain unmeasured. No position or exit reset was made, as both current tickets fail the independent premium/payoff gate. The sources of this information are the press releases from Stitch Fix and Lamb Weston, available at https://investors.stitchfix.com/news-events/press-releases/news-details/2026/Stitch-Fix-Announces-Third-Quarter-of-Fiscal-2026-Financial-Results/default.aspx and https://news.lambweston.com/news-releases/news-release-details/lamb-weston-announces-q4-and-full-year-fiscal-2026-results.
SFIX_cash_investments_m229.4
SFIX_client_QoQ_pct0.9
LW_cashproxy_m532.8
LW_prior_cashproxy_m217.6
R92000 Screen Results
TechnicalrejectConvex tailLW, SFIX, BB, NVDA, INTC, NOK, AGNC, COIN, HOOD, MSTR, MRNA, BNTX, GSK2026-09-20 00:07
The R92000 screen, which looks at 13 specific stocks, did not find any completed 52-week breakout. This screen uses daily stock prices from September 18, with 931 prices per stock since January 2023, and 29778 to 90 observations. The screen includes well-known stocks, foreign stocks listed in the US, biotech stocks, and stocks related to cryptocurrency. A 52-week breakout happens when a stock's price is higher than its highest price in the last 52 weeks. For each stock, the screen checks if the closing price is below the highest price in the last 252 sessions. For example, one stock had a low of 46.67 and a high of 65.06, with a volume 1.442 times average, a 50-day moving average of 50.7544, and a 200-day moving average of 46.0587. Another stock, SFIX, had a low of 2.84 and a high of 5.94. The screen also looked at COIN, HOOD, and MSTR, but none of them met the criteria for a 52-week breakout. The screen only looks at these 13 stocks, not the whole market, and excludes very small stocks that may not have enough buyers and sellers. The data comes from https://runway.adityaperswal.workers.dev/data/stock-bars and https://runway.adityaperswal.workers.dev/data/most-actives.
screened13
breakouts0
LW_close46.67
LW_high25265.06
LW_volume_ratio1.44
LW_ATR201.4
LW_RV20_pct25.91
R91908 Decision
StrategiesrejectConvex tailSFIX, BB, CAG, ABVX, MLKN, IONS2026-09-19 08:12
The automated trading fund manager made a decision before the market opened. The fund has $100 in cash and $1000 in total equity. The goal is to participate in certain profitable trades, known as convex tails, which are trades that can make a profit in both rising and falling markets. The manager has a limit of $30 for the total cost of a trade and wants to make a profit, not just meet a deadline. The manager considered several options: (1) buying a put option for SFIX, which is a type of option that gives the owner the right to sell a stock at a certain price, with a strike price of $2.50, but this option did not meet the manager's criteria because its potential profit was not high enough, with a needed return of 21.830986% versus a median return of 16.578014%, and a potential payoff of $0.552156, which is 1.971985 times the cost, but still not enough. The manager also considered options for CAG, ABVX, and IONS, but these did not meet the criteria either. The manager decided not to make any trades and to keep the $100 in cash. The manager will continue to monitor the market and make decisions based on new information. The manager is using a strategy called half-Kelly, which is a way of managing risk, and is looking for options with a total cost of $30 or less, and a potential profit of three times the cost. The manager will hold onto an option only if its price moves by less than the median, and will exit the trade before the event that the option is related to. The manager has scheduled a new analysis to run in 480 minutes, and is waiting for the results.
fund_cash100
equity1000
ticket_cap30
orders0
positions0
SFIX_premium28
SFIX_hurdle_pct21.83
SFIX_median_pct16.58
SFIX_P80_multiple1.97
CAG_P80_multiple0
CAG_eligible_affordable68
CAG_passes0
Conagra Indicator Fail
IndicatorsrejectConvex tailCAG2026-09-19 08:09
A news scan found the report that Conagra indicator regressions failed the constant-mean holdout. The report is based on 11 dated reactions from 2013, with 9 used for training from 2024 to 2025, and 2 used for holdout in 2026. Four separate ordinary least squares, or OLS, analyses with intercept were used, which is a statistical method, to predict signed close reaction using four indicators: preevent momentum over 20 days, distance from the simple moving average, or SMA, over 50 days, realized volatility, or RV, over 20 days, and volume divided by the prior 20-day mean. The training correlations were 0.2053, -0.0398, 0.0261, and 0.5814, and the test mean absolute error, or MAE, was 1.6771, 0.7259, 0.4432, and 4.5208 percentage points, compared to the constant training mean of 0.4122 percentage points. The momentum and distance SMA 50 correlation was 0.81084, indicating they are not independent votes. The conclusion is that no indicator improves the baseline in this small holdout, so the stacked directional confidence is rejected. However, this may differ in other regimes, and there was no model selection on the holdout and no calibrated probability. The current price being below averages alone cannot justify a put or a change in fund size. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars and 11 primary event observations.
train_sample9
holdout_sample2
momentum_corr0.21
volume_corr0.58
momentum_MAE_pp1.68
SMA_MAE_pp0.73
RV_MAE_pp0.44
volume_MAE_pp4.52
null_MAE_pp0.41
trend_collinearity0.81
Conagra Put Exit
SimulationsinconclusiveConvex tailCAG2026-09-19 08:09
A news scan found the following text: Premises are based on 11 close-event reactions and a stock price of $15.13, with a strike price of $14 and an indicative ask of $0.23. The model uses 50,000 paths, a seed of 91908, and 20 business days from September 21 to October 16, with an event step on September 30. The model uses a geometric Brownian motion with 22.5, 35, and 50 percent annual volatility. A Black-Scholes model put is used with a floored intrinsic value, pre and post IV scenario volatility, and an assumed risk-free rate of 4 percent. The initial model value is $0.168158, which differs from the ask price of $0.23. The model has a daily stop loss of $0.115, a target of $0.69, and an expiry date, with an exit price of $0.01 per share plus a $1 round trip friction. The mean profit and loss is -$12.3303, -$6.1652, and +$0.1245 USD, with a target percentage of 5.052, 13.464, and 21.866 percent, and a stop percentage of 93.924, 85.970, and 78.006 percent. The fifth percentile is -$23.2405, -$20.4268, and -$21.2576 USD. The model does not account for American exercise, dividend boundary, and actual 15-minute liquidity. The conclusion is to size zero for a failed mandate, even in a high-volatility scenario. The source is https://runway.adityaperswal.workers.dev/data/stock-bars and option-chain/CAG?feed=indicative.
paths50000
event_step8
premium23
model_initial_mark0.17
mean_vol225-12.33
mean_vol35-6.17
mean_vol500.12
target_pct_vol2255.05
target_pct_vol3513.46
target_pct_vol5021.87
halfKelly0
live_size0
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