Notes

A news scan found the following data: this is a simulation batch for CNXC, specifically CNXC91106, computed on 2026-09-11. The simulation used 20,000 paths and 10 trades, with a circular 2-event block, seed 91106, and training on the last 15 data points only. The fraction of the fund rebalanced varied, with 0.5494505494505495 being the fraction for one-share-sized trades today, which is not a fixed one share for future trades. The simulation assumed a gap shock of 1/5% per trade and a -30% return. It used minute bars as a proxy for real-time market data, taken during regular trading hours, with no guarantee of overnight or limit fill. The results are as follows: there were four scenarios tested, with the following results: the first scenario had a fraction of 0.5494505494505495, an assumed gap probability of 0.05, a gap return of -0.3, a median percentage change of -8.243819593859797, a probability of loss of 0.8098, a probability of a 20% drawdown of 0.2871, a 5th percentile of -31.804881693416263, and a mean percentage change of -10.313187895806946. The second scenario had a fraction of 1, an assumed gap probability of 0, a gap return of -0.3, a median percentage change of -5.44435873243137, a probability of loss of 0.6938, a probability of a 20% drawdown of 0.10435, a 5th percentile of -20.60249367590513, and a mean percentage change of -4.741991450280178. The third scenario had a fraction of 1, an assumed gap probability of 0.01, a gap return of -0.3, a median percentage change of -6.926521592359109, a probability of loss of 0.72395, a probability of a 20% drawdown of 0.19155, a 5th percentile of -33.294896276596965, and a mean percentage change of -7.558949768271352. The fourth scenario had a fraction of 1, an assumed gap probability of 0.05, a gap return of -0.3, a median percentage change of -14.872146693414546, a probability of loss of 0.81545, a probability of a 20% drawdown of 0.46585, a 5th percentile of -53.020321311503615, and a mean percentage change of -17.98382412954314. Note that these subsets are exploratory and no retuning was done. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&feed=sip&adjustment=all

A news scan found the following simulation results for CNXC: the simulation was computed on 2026-09-11 and consisted of 20,000 paths and 10 trades. The results were as follows: a fraction of 0.25 with an assumed gap probability of 0.01 had a gap return of -0.3, a median percentage change of -1.6272, a probability of loss of 0.7082, a probability of a 20% drawdown of 0.0001, a 5th percentile of -8.7262, and a mean percentage change of -1.9267. Another fraction of 0.25 with an assumed gap probability of 0.05 had a gap return of -0.3, a median percentage change of -3.6943, a probability of loss of 0.8049, a probability of a 20% drawdown of 0.0122, a 5th percentile of -15.2886, and a mean percentage change of -4.7956. A fraction of 0.5495 with an assumed gap probability of 0 had a gap return of -0.3, a median percentage change of -2.8702, a probability of loss of 0.6841, a probability of a 20% drawdown of 0, a 5th percentile of -11.7556, and a mean percentage change of -2.6157. Lastly, a fraction of 0.5495 with an assumed gap probability of 0.01 had a gap return of -0.3, a median percentage change of -3.6863, a probability of loss of 0.7163, a probability of a 20% drawdown of 0.0609, a 5th percentile of -18.6959, and a mean percentage change of -4.2054. The simulation used 20,000 paths, 10 trades, circular 2-event blocks, a seed of 91106, and trained on the last 15 days only, with a fraction of the fund rebalanced, which is 0.5495, a one-share-sized fraction today, but not a fixed one-share fraction for the future. The simulation also assumed gaps of 1/5% per trade and a -30% return, used minute bars as a proxy for regular trading hours, and did not guarantee overnight or limit fill. The subsets were exploratory and did not involve retuning. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&feed=sip&adjustment=all

A news scan found the following simulation data for CNXC: the simulation was computed on 2026-09-11 and used 20,000 paths and 10 trades. The simulation was set up with circular 2 event blocks, a seed of 91106, and training on the last 15 days only. The fraction of the fund that was rebalanced was 0.54945, which is the size of one share today, but this fraction is not fixed at one share for future trades. The simulation assumed a gap shock of 1/5 percent per trade and a return of -30 percent. The data used was from minute bars during regular trading hours, and there is no guarantee of overnight or limit fill. The subsets used were exploratory and no retune was done. The results of the simulation were as follows: when the fraction was 0, the assumed gap probability was 0, the gap return was -0.3, the median percent change was 0, the probability of loss was 0, the probability of a 20 percent drawdown was 0, the 5 percent percentile was 0, and the mean percent change was 0. When the fraction was 0 and the assumed gap probability was 0.01, the results were the same. When the fraction was 0 and the assumed gap probability was 0.05, the results were also the same. When the fraction was 0.25 and the assumed gap probability was 0, the median percent change was -1.2674549071149732, the probability of loss was 0.67785, the probability of a 20 percent drawdown was 0, the 5 percent percentile was -5.483365714790834, and the mean percent change was -1.1931573400440427. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&feed=sip&adjustment=all

A news scan found the following data: the CNXC91106 regime subsets batch4 results are given in two parts. The first part is for the training window, where the return was -4.866383262420877, the drawdown was 13.547220169438102, and the win rate was 50. The sample size was 14, the mean percentage change was -0.2872928442103454, the average win percentage was 3.0930941426139076, and the average loss percentage was 3.667679831034598. The number of targets was 1, the worst percentage change was -5.074661691100624, and the mean excess percentage per trade was -0.9629721693811664. The second part is for the holdout window, where the return was -26.57828415023204, the drawdown was 27.90600877346402, and the win rate was 0. The sample size was 7, the mean percentage change was -4.29254621439878, the average win percentage was 0, and the average loss percentage was 4.29254621439878. The number of targets was 0, the worst percentage change was -6.983554867698272, and the mean excess percentage per trade was -4.03538364253143. These results were computed on 2026-09-11. The simulation used 20,000 paths and 10 trades, with a circular 2-event block and a seed of 91106. The training set used only the first 15 data points, and the fraction of the fund rebalanced was 0.54945, which is a one-share-sized fraction today, but not a fixed one-share fraction for the future. The simulation also assumed a gap shock of 1/5% per trade and a -30% return. The data used was based on minute bars during regular trading hours, with no guarantee of overnight or limit fill. The subsets used were exploratory, with no retuning. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&feed=sip&adjustment=all

A news scan found the following data: the regime subsets batch3 for CNXC91106 were computed on 2026-09-11. The subsets are as follows: for both_up in the train window, the return was -3.778565632545124, the drawdown was 3.778565632545128, the win rate was 0, the sample size was 1, the mean percentage was -3.778565632545128, the average win percentage was 0, the average loss percentage was 3.778565632545128, the targets were 0, the worst percentage was -3.778565632545128, the mean excess percentage per period was -6.01715878843867, and the ambiguous count was 0. For both_up in the holdout window, the return was -7.479860271176257, the drawdown was 9.152952029399053, the win rate was 0, the sample size was 3, the mean percentage was -2.542483361225693, the average win percentage was 0, the average loss percentage was 2.542483361225693, the targets were 0, the worst percentage was -3.9785628508407944, the mean excess percentage per period was -2.095028006831179, and the ambiguous count was 0. For post_webhelp in the train window, the return was 8.058692938003205, the drawdown was 5.653697474038477, the win rate was 75, the sample size was 4, the mean percentage was 2.002492604393577, the average win percentage was 3.179002928432243, the average loss percentage was 1.527038367722422, the targets were 1, the worst percentage was -1.527038367722422, the mean excess percentage per period was 0.5525622879772124, and the ambiguous count was 0. For post_webhelp in the holdout window, the return was -26.57828415023204, the drawdown was 27.90600877346402, the win rate was 0, the sample size was 7, the mean percentage was -4.29254621439878, the average win percentage was 0, the average loss percentage was 4.29254621439878, the targets were 0, the worst percentage was -6.983554867698272, the mean excess percentage per period was -4.03538364253143, and the ambiguous count was 0. The simulation used 20,000 paths and 10 trades, with circular 2-event blocks, a seed of 91106, training on the last 15 only, and a fraction of the fund rebalanced, which is 0.54945, a one-share-sized fraction today, not a fixed one share in the future. The simulation also included gap shocks of 1/5% per trade and a -30% return assumed, using minute bars and a regular trading hours snapshot proxy, with no overnight or limit fill guarantee. The subsets are exploratory and were not retuned. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&feed=sip&adjustment=all

A news scan found the following data: the automated trading fund manager computed results on 2026-09-11 for the CNXC91106 regime subsets batch 2. The results are as follows: for the market up subset in the training window, the return was -8.550517336843969, the drawdown was 17.7857651475575, the win rate was 40, the sample size was 10, the mean percentage change was -0.8272009822618664, the average win percentage was 3.0416766032800635, the average loss percentage was 3.4064527059564864, the number of targets was 1, the worst percentage change was -4.523321069797714, the mean excess percentage per trade was -1.3956115708156858, and there were 0 ambiguous trades. For the market up subset in the holdout window, the return was -22.550335029382104, the drawdown was 23.950899236475365, the win rate was 0, the sample size was 6, the mean percentage change was -4.141182000545395, the average win percentage was 0, the average loss percentage was 4.141182000545395, the number of targets was 0, the worst percentage change was -6.983554867698272, the mean excess percentage per trade was -3.4158552331433256, and there were 0 ambiguous trades. For the market down subset in the training window, the return was 0.7127514066027288, the drawdown was 7.15102257989032, the win rate was 60, the sample size was 5, the mean percentage change was 0.21249407493141081, the average win percentage was 3.161650861725699, the average loss percentage was 4.211241105260022, the number of targets was 0, the worst percentage change was -5.074661691100624, the mean excess percentage per trade was 0.27418658361083814, and there were 0 ambiguous trades. For the market down subset in the holdout window, the return was -5.200731497519082, the drawdown was 6.187446397008822, the win rate was 0, the sample size was 1, the mean percentage change was -5.200731497519085, the average win percentage was 0, the average loss percentage was 5.200731497519085, the number of targets was 0, the worst percentage change was -5.200731497519085, the mean excess percentage per trade was -7.752554098860054, and there were 0 ambiguous trades. The simulation used 20,000 paths and 10 trades, with circular 2-event blocks, a seed of 91106, training on the last 15 only, and a fraction of the fund rebalanced, which is 0.54945, representing one share-sized fraction today, not a fixed one share in the future. The simulation also assumed a gap shock of 1/5% per trade and a -30% return. The data used was minute bars, with a regular trading hours snapshot proxy, and no guarantee of overnight or limit fill. The subsets were exploratory, with no retune. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&feed=sip&adjustment=all

A news scan found the following data: a list of regime subsets for CNXC, computed on 2026-09-11. The subsets are as follows: for the stock_up subset in the train window, the return was -2.4767471191366712, the drawdown was 8.406733611769967, the win rate was 50, the sample size was 4, the mean percentage change was -0.5446336566430732, the average win percentage was 3.3373463485367294, the average loss percentage was 4.426613661822875, there were 0 targets, the worst percentage change was -5.074661691100624, and the mean excess percentage per trade was -0.8187460263021529. For the stock_up subset in the holdout window, the return was -12.291584319601897, the drawdown was 13.877663067772406, the win rate was 0, the sample size was 4, the mean percentage change was -3.2070453952990405, the average win percentage was 0, the average loss percentage was 3.2070453952990405, there were 0 targets, the worst percentage change was -5.200731497519085, and the mean excess percentage per trade was -3.509409529838398. For the stock_down subset in the train window, the return was -5.559661499722843, the drawdown was 15.096948141248257, the win rate was 45.45454545454545, the sample size was 11, the mean percentage change was -0.45736407467175616, the average win percentage was 2.9953932602447786, the average loss percentage was 3.3346618537688686, there was 1 target, the worst percentage change was -4.523321069797714, and the mean excess percentage per trade was -0.8463816986267324. For the stock_down subset in the holdout window, the return was -16.28885862297369, the drawdown was 16.28885862297369, the win rate was 0, the sample size was 3, the mean percentage change was -5.739880639865099, the average win percentage was 0, the average loss percentage was 5.739880639865099, there were 0 targets, the worst percentage change was -6.983554867698272, and the mean excess percentage per trade was -4.736682459455474. The simulation used 20,000 paths and 10 trades, with a circular 2-event block, a seed of 91106, and only the first 15 trades in the train set. The fraction of the fund rebalanced was 0.54945, which is a one-share-sized fraction today, but not a fixed one-share fraction for the future. The simulation also assumed a gap shock of 1/5% per trade and a -30% return. The data used was minute bars, with a regular trading hours snapshot proxy, and no guarantee of overnight or limit fill. The subsets were exploratory, with no retune. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&feed=sip&adjustment=all

A list of entry exclusions for CNXC, also known as CNXC91106, includes the following dates: an event on 2023-06-28 with an entry on 2023-06-13, an event on 2023-09-27 with an entry on 2023-09-13, an event on 2024-06-26 with an entry on 2024-06-11, an event on 2025-01-15 with an entry on 2024-12-30, an event on 2025-06-26 with an entry on 2025-06-11, and an event on 2025-09-25 with an entry on 2025-09-11. This information was computed on 2026-09-11 using data from saved studies, including intraday studies. The data used includes price bars up to September 10, financial reports from May 31 that were reported on June 29, and valuation at the September 10 price using May shares. The forward scenarios are assumptions and not measured probabilities. The ledger is based on the catalyst's 3 closed trades, which does not reflect CNXC's performance. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&feed=sip&adjustment=all

A news scan found the trade ledger for CNXC91106. The ledger includes the following trades: for MIRM, the return percentage was -0.4393212687920589, the R value was -0.06982703395259335, and the profit and loss was -0.2855148925559953. For IONS, the return percentage was -2.8424202127659504, the R value, which is a measure of risk, was -0.4110576923076911, and the profit and loss was -1.8472888958399931. For RARE, the return percentage was -45.860061919504645, the R value was -6.440347826086957, the profit and loss was -29.804454238440957, and the stop slippage percentage, which is the percentage of loss due to selling at a worse price than expected, was -41.70933333333333. This data was computed on September 11, 2026, from a study using price bars through September 10 and financial reports from May 31 that were released on June 29, with valuations based on the September 10 price and the number of shares from May. The forward scenarios are assumptions and not based on measured probabilities. The ledger only includes three closed trades from the catalyst and does not reflect the overall performance of CNXC. runway:query_trades?fund=catalyst

A news scan found the headline is not available, but a data line was found with the following information: the company CNXC has the following financial data as of September 11, 2026: H1 CFO is 174.671 million, H1 capex is 102.076 million, H1 free cash flow, or FCF, which is the amount of cash a company has after paying expenses, is 72.595 million, H1 prior FCF is 131.534 million, and H1 FCF year over year percentage change is -44.80894673620508. Q2 FCF is 209.717 million, Q2 adjusted FCF, which is FCF with some adjustments, is 242.324 million, and Q2 factoring adjustment, which is an adjustment for the company's accounts receivable, is 32.607 million. H1 adjusted FCF is 97.711 million, FY adjusted FCF midpoint is 640 million, required H2 adjusted FCF is 542.289 million, required quarterly H2 is 271.1445 million, and H2 H1 required ratio is 5.549927848451044. H1 interest coverage, which is a measure of a company's ability to pay interest on its debt, is 1.4922833371689994, Q2 interest coverage is 1.4017245938243676, cash is 255.566 million, net debt carrying is 4329.308 million, market cap using May shares is 1643.301 million, simplified enterprise value, or EV, which is a measure of a company's total value, is 5972.6089999999995 million, EV annualized H1 adjusted EBITDA, which is a measure of a company's profitability, is 4.293406282168509, price adjusted EPS guide midpoint is 2.4534302589731944, H1 GAAP operating profit is 213.98 million, H1 interest is 143.391 million, and H1 adjusted EBITDA is 695.556 million. This data was computed on September 11, 2026, from saved study.py/intraday_study.py, using price bars through September 10, financials reported on June 29 for the period ending May 31, and valuation at the September 10 price using May shares. Forward scenarios are assumptions, not measured probabilities, and the ledger is based on the catalyst's 3 closed trades, not CNXC performance. https://ir.concentrix.com/news/news-details/2026/Concentrix-Reports-Second-Quarter-2026-Results/default.aspx

A news scan found the following data: a computed result from September 11, 2026, based on a saved study from intraday_study.py, shows the following numbers: the target rate is 0.06666666666666667, the stop rate is 0.4666666666666667, and the time rate is 0.4666666666666667. The training half Kelly capital is 0, the training p is 0.4666666666666667, the training win percentage is 3.0930941426139076, and the training loss percentage is 3.60764980578237. This data is based on price bars up to September 10, financial reports from May 31 that were released on June 29, and valuation at the September 10 price using the number of shares from May. The forward scenarios are assumptions, not measured probabilities. The ledger is based on 3 closed trades from a catalyst, not the performance of CNXC. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&feed=sip&adjustment=all

A news scan found the following data line: a regression analysis of CNXC, specifically CNXC91106, was computed on 2026-09-11 from saved study.py/intraday_study.py. The analysis used 15 data points and considered the following features: momentum over 20 periods, moving average distance, realized volatility over 20 periods, market bull indicator, and net return. The correlation between these features is shown in a 5x5 matrix. The beta per training standard deviation percent per point is also reported for each feature. The train R-squared value is 0.2252750526462337, indicating the proportion of variance in the dependent variable that is predictable from the independent variables. The holdout root mean squared error percent per point is 3.184007569082693, and the constant root mean squared error percent per point is 4.4002834853301716. The analysis used price bars through September 10, financials reported on June 29 for the period ending May 31, and valuation at the September 10 price using the number of shares as of May. Forward scenarios are assumptions and not measured probabilities. The ledger is based on 3 closed trades from a catalyst, not CNXC's performance. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&feed=sip&adjustment=all

A news scan found the following data: the automated trading fund manager computed confidence intervals on September 11, 2026, from a saved study. The study used price bars through September 10 and financials reported on June 29 for May 31, with valuation at the September 10 price using May shares. The results are for two time periods: training and holdout. For the training period, the mean percentage change was -0.48063596319744073, the 95% confidence interval was between -2.2152594036925675 and 1.2931710935481127, the median percentage change was -1.527038367722422, and the number of data points was 15. For the holdout period, the mean percentage change was -4.29254621439878, the 95% confidence interval was between -5.773291973189492 and -3.0385240044122908, the median percentage change was -3.9785628508407944, and the number of data points was 7. Forward scenarios are assumptions, not measured probabilities. The ledger is based on the fund manager's 3 closed trades, which are not the same as CNXC's performance. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&feed=sip&adjustment=all

A technical analysis of CNXC, also known as CNXC91106, was computed on 2026-09-11 from saved studies. The analysis used price bars through September 10 and financial reports from May 31, which were released on June 29. The valuation was calculated using the September 10 price and the number of shares from May. The results include various technical indicators: the simple moving average, or average price, over 20 days was 27.6525, over 50 days was 25.5096, and over 200 days was 29.8007. The average daily range, or typical price swing, over 20 days was 1.8721, and the average true range, or total price movement, over 14 days was 2.0541. The relative strength index, or RSI, which measures price momentum, was 47.6074. Other indicators include the momentum percentage over 20 days, which was 10.1591, and the realized volatility percentage over 20 days, which was 72.3670. The dollar volume, or total value of trades, over 20 days was 35,515,338.06. The worst gap percentage, or largest sudden price move, was -21.4830. The analysis also considered the performance of the SPY index, with a closing price of 757.83 and a 200-day simple moving average of 711.4916. The hypothetical stop loss, or selling price to limit losses, was 25.1279, and the hypothetical target, or selling price to take profits, was 32.6164. The maximum number of whole shares that could be bought was 1, and the potential loss per share as a percentage of the total account was 3.1728. The net risk-reward ratio, which compares potential gains to potential losses, was 2.6806. Forward scenarios are assumptions and not measured probabilities. The ledger is based on the catalyst's 3 closed trades, not CNXC's performance. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&feed=sip&adjustment=all

A news scan found the headline about CNXC91106 T10 ADR1_3. The results of a study on CNXC91106 T10 ADR1_3 are as follows: the study had a return of -21.749548645550874, a drawdown of 21.749548645550874, and a win rate of 0. The mean percentage change was -5.937554483891483, the average win percentage was 0, and the average loss percentage was 5.937554483891483. The worst percentage change was -7.60404180814268. The study also reported a mean excess percentage per period of -5.7935469993265984. The study was measured on 2026-09-11 and used chronological training data from 2021 to 2024 and holdout data from 2025 to June 2026. The data used was from saved study.py and issuer calendar observations from 24553 to 24575, with no live fills. The study had a barrier set to true, a slippage of 45 basis points, and a window set to holdout. The sample size was 4, with 0 targets and 0 ambiguous results. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline 'CNXC CNXC91106 T10 ADR1_3 train 45bp'. The details are as follows: the training window had a return of -26.577258377148993 percent, a drawdown of 29.903225595850635 percent, and a win rate of 16.666666666666664 percent. The sample size was 12, with a mean percentage change of -2.4850474227438366 percent. The average win percentage was 4.141284060615391 percent and the average loss percentage was 3.8103137194156824 percent. The worst percentage change was -5.148612904379791 percent. The mean excess percentage per period was -3.476904973402537 percent. This was a training period from 2021 to 2024, with a holdout period from 2025 to June 2026, measured on September 11, 2026. The data came from a saved study and issuer calendar observations from 24553 to 24575, with no live trading fills. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&timeframe=1Day&feed=sip&adjustment=all

A news scan found the data line: a study of CNXC91106 T10 ADR1_3 from September 11, 2026, showed a return of -20.49 percent and a drawdown of 20.49 percent, with a win rate of 0 percent, over a holdout window, which is a period of time used to test a trading strategy, with a slippage of 25 basis points, which is a measure of the difference between expected and actual trade prices. The mean percentage change was -5.56 percent, the average win percentage was 0 percent, and the average loss percentage was -5.56 percent. The worst percentage change was -7.23 percent. The study was trained on data from 2021 to 2024 and tested on data from 2025 to June 2026, with observations from issuer calendar numbers 24553 to 24575, and did not include any live trades. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline is not available, but a data line was found. The data line shows the results of a training period for a trading strategy. The strategy had a return of -22.97 percent and a drawdown of 26.60 percent. The win rate was 16.67 percent, based on 12 samples. The average win was 4.56 percent and the average loss was 3.42 percent. The worst loss was 4.77 percent. The strategy was trained on data from 2021 to 2024 and tested on data from 2025 to June 2026. The data was measured on September 11, 2026. The strategy used a 10-day window, a 25 basis point slippage, and a barrier. Basis point means a unit of measurement for interest rates or investment returns, equal to 0.01 percent. Slippage refers to the difference between the expected price of a trade and the actual price. Drawdown means the largest decline in value from a peak to a trough. The results are based on a saved study and issuer calendar observations from numbers 24553 to 24575, with no live trades executed. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline 'CNXC CNXC91106 T10 time holdout 45bp'. The given data is a JSON output, which is a format for storing and exchanging data. It shows the results of a trading simulation for CNXC, with the following details: the simulation used 10 units, had no barrier, and allowed for a 45 basis point slippage, which is a measure of the difference between expected and actual trade prices. The simulation was run on a holdout period, meaning it was tested on a separate set of data. The return was -13.70%, the drawdown, which is the maximum loss from a peak to a trough, was 23.70%, and the win rate was 0%. The sample size was 4, the mean percentage change was -3.60%, and the average win and loss percentages were 0% and -3.60% respectively. The targets, which are the desired outcomes, were 0, and the worst percentage change was -6.08%. The mean excess percentage per period was -3.46%. The data was measured on September 11, 2026, and the training period was from 2021 to 2024, with a holdout period from 2025 to June 2026. The figures were taken from a saved study and issuer calendar observations from numbers 24553 to 24575, with no live trades executed. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&timeframe=1Day&feed=sip&adjustment=all

A news scan found the data line: CNXC CNXC91106 T10 time train 45bp. The data shows the following results: the return was -30.120896257409303, the drawdown was 33.4368627987072, and the win rate was 25. The sample size was 12, with a mean percentage of -2.796058980144094, an average win percentage of 5.252746671129205, and an average loss percentage of 5.478994197235194. The worst percentage was -9.677200581896518 and the mean excess was -3.787916530802795. The data was measured on 2026-09-11 and was based on chronological training from 2021 to 2024 and a holdout period from 2025 to June 2026. The figures came from a saved study and issuer calendar observations from 24553 to 24575, with no live fills. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&timeframe=1Day&feed=sip&adjustment=all

A news scan found the data line: a study of CNXC91106 from September 11, 2026, showed a return of -12.309367799362352 percent and a drawdown of 23.08418931866121 percent. The study used a 10-day window, also known as a time period of 10 days, and a slippage of 25 basis points, which is a measure of the difference between expected and actual prices, with 1 basis point being 0.01 percent. The results included a win rate of 0 percent, a mean percentage change of -3.213902009658562 percent, and an average loss percentage of 3.213902009658562 percent. The study was trained on data from 2021 to 2024 and tested on data from 2025 to June 2026, with a total of 4 samples. The worst percentage change was -5.698682563908742 percent. The mean excess percentage per period was -3.0698945250936776 percent. The study was based on saved data from study.py and issuer calendar observations from 24553 to 24575, with no live trades executed. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline is not available, but a data line was found with the following information: the trading strategy CNXC91106 had a return of -26.6848506499476 percent and a drawdown of 30.72460991087731 percent, with a win rate of 25 percent, based on 12 samples. The mean percentage change was -2.4064596343805023 percent, with an average win percentage of 5.674606122635558 percent and an average loss percentage of 5.100148220052522 percent. The worst percentage loss was -9.31518127288886 percent. The strategy had a mean excess percentage per trade of -3.3983171850392035 percent. The data was measured on September 11, 2026, and was based on chronological training from 2021 to 2024 and a holdout period from 2025 to June 2026, with no live fills, using a 10-day window, also known as a time period of 10 days, a barrier of false, meaning no barrier was used, and a slippage of 25 basis points, which is a measure of the difference between the expected price and the actual price of a trade, where basis points are a unit of measurement, with 100 basis points equal to 1 percent. The figures were from a saved study and issuer calendar observations from 24553 to 24575. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline 'CNXC CNXC91106 T5 ADR1_3 holdout 45bp'. The given data is a JSON output, which is a format for storing and exchanging data. It shows the results of a trading strategy test, including a return of -28.60560279207863, a drawdown of 29.75680929032616, and a win rate of 0. The test was measured on September 11, 2026, and used data from 2021 to 2024 for training and from 2025 to June 2026 as a holdout period. The data comes from a study and issuer calendar observations from numbers 24553 to 24575, with no live trades executed. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&timeframe=1Day&feed=sip&adjustment=all

A news scan found the following data line: a train result for CNXC91106 T5 ADR1_3 with a 45 basis point slippage, which is a measure of the difference between expected and actual trade prices. The result was measured on 2026-09-11 and is based on chronological training from 2021 to 2024 and a holdout period from 2025 to June 2026. The data includes the following figures: a return of -13.262336939331709 percent, a drawdown of 19.584702990166058 percent, a win rate of 40 percent, and a sample size of 15. The average win percentage was 3.1691093838779514 percent and the average loss percentage was 3.5759451127944626 percent. The worst percentage loss was -5.45360941205616 percent. All figures are from a saved study and issuer calendar observations from 24553 to 24575, with no live trade fills. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&timeframe=1Day&feed=sip&adjustment=all

A news scan found the headline is not available, but a data line was found with the following information: the CNXC91106 T5 ADR1_3 had a return of -26.57828415023204 and a drawdown of 27.90600877346402, with a win rate of 0, during the holdout window, which is a period of time used to test a model. The mean percentage change was -4.29254621439878, the average win percentage was 0, and the average loss percentage was 4.29254621439878. The worst percentage change was -6.983554867698272. The data was measured on 2026-09-11 and was based on chronological training from 2021 to 2024 and a holdout period from 2025 to June 2026. The figures were from a saved study and issuer calendar observations from 24553 to 24575, with no live fills, meaning no actual trades were made. https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CNXC,SPY&timeframe=1Day&feed=sip&adjustment=all