Notes

A news scan found the headline about HWM R91900 expanding its eleven-symbol signal panel. The panel received data at 00:09 UTC on September 18. The data includes the following columns: the stock symbol, the date the data was received, the closing price, the highest closing price in the last 20 days, the 50-day Simple Moving Average (a calculation of the average price over 50 days), and the 20-day Average Daily Range (the average difference between the high and low prices over 20 days, not to be confused with Average True Range, a different measure). The signal is triggered when the closing price is higher than the highest closing price in the last 20 days and the 50-day Simple Moving Average. For HWM, the data shows a closing price of 229.670, a prior 20-day closing high of 273.640, a 50-day Simple Moving Average of 267.572, and a 20-day Average Daily Range of 7.542. The signal is 0, indicating the conditions were not met, and the age of the signal is 1 calendar day, based on data from September 18, 2026. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=1Day

A news scan found the headline about CCJ R91900 expanded eleven-symbol signal panel. A local system received data at 00:09 UTC, which showed that September 18 was a completed daily period. The data is organized into columns, including the symbol, feed date, close price, prior 20-day closing high, 50-day Simple Moving Average, and 20-day Average Daily Range, which is the mean of the high and low prices, not the Average True Range. The signal is generated when the close price is higher than the prior 20-day closing high and the 50-day Simple Moving Average, which is a calculation to determine trends. The data for CCJ, which was received on September 18, 2026, shows a close price of 91.620, a prior 20-day closing high of 107.360, a 50-day Simple Moving Average of 94.792, an Average Daily Range of 3.408, a signal of 0, and an age of 1 calendar day. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=1Day

A news scan found the headline about SWKS R91900 expanding its eleven-symbol signal panel. The data received at 00:09 UTC on September 18 shows the following information: the symbol is SWKS, the closing price is 88.760, the prior 20-day closing high is 91.320, the 50-day Simple Moving Average (SMA50), which is a calculation of the average price over 50 days, is 68.619, and the 20-day Average Daily Range (ADR20), which is the mean of the high and low prices over 20 days, is 4.649. The signal, which is generated when the closing price is higher than the prior 20-day closing high and the SMA50, is 0, indicating no signal, and the age of this signal is 1 calendar day. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=1Day

A news scan found the headline 'VIST R91900 expanded eleven-symbol signal panel'. This is a data line showing information about a stock symbol, VIST. It was received at 00:09 UTC and the data is for September 18. The columns show the symbol, the date of the data feed, the closing price, the highest closing price in the last 20 days, the 50-day simple moving average, and the average daily range over 20 days. The signal is based on whether the closing price is higher than the highest closing price in the last 20 days and the 50-day simple moving average. For VIST, the signal is 0, meaning the conditions were not met, and it has been 1 calendar day since the signal was last updated. The data for VIST on September 18 is as follows: the closing price was 72.270, the highest closing price in the last 20 days was 78.950, the 50-day simple moving average was 69.494, and the average daily range over 20 days was 2.819. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=1Day

A news scan found the headline about STNG R91900. A trading signal was received at 00:09 UTC. The signal is for September 18 and is based on the following information: the symbol is STNG, the closing price on September 18, 2026, was 87.160, the prior 20-day closing high was 87.850, the 50-day simple moving average was 79.114, and the average daily range over 20 days was 2.235. The signal is based on whether the closing price is higher than the prior 20-day closing high and the 50-day simple moving average, which is true, indicated by 0 and 1, and the age of the signal is 1 calendar day. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=1Day

A news scan found the headline about FRO R91900. It received information at 00:09 UTC. The information is from September 18. The columns show the following information: the symbol of the stock, the date it was received, the closing price, the highest price in the last 20 days, the average price over the last 50 days, the average daily range over the last 20 days, a signal that is true if the closing price is higher than the highest price in the last 20 days and the average price over the last 50 days, and the age of the signal in calendar days. For FRO, the signal information is as follows: the symbol is FRO, the date is 2026-09-18, the closing price is 51.420, the highest price in the last 20 days is 50.660, the average price over the last 50 days is 39.767, the average daily range over the last 20 days is 1.424, the signal is true, and the age of the signal is 1 day. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=1Day

A Monte Carlo simulation was run with 20,000 paths, each with 20 independent and identically distributed draws from 36 NVT training trade returns, using a seed of 91900 after bootstrap draws. The simulation rebalanced 12% of the account notional with each trade. The results showed terminal values at the 5th, 50th, and 95th percentiles of -1.5939%, +7.3015%, and +17.5586% respectively. There was a 9.2% terminal loss, and the maximum drawdown at the 95th percentile was 5.5765%. This simulation used a conditional stationary model and did not account for live odds, calendar horizon, serial dependence, or unseen gaps. The current decision is no entry. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A new local receipt was received on September 19 at 00:09:18, which is 1671 characters long, with no errors, and includes 11 symbols such as NVT and 5 SEC filing heads plus ACP. This receipt was received after two prior jobs, job 270 which was completed at 20:46 on September 18 with a length of 1148, and job 271 which was completed at 23:31 on September 18 with a length of 1566. Job 271 was replaced with the new receipt only after it was successfully received locally, and this replacement was not due to remote coverage. The original date filter is set to exclude the same UTC day intentionally, which can cause pre-midnight bars to be dated as the previous day, so the timestamp must be checked. https://runway.adityaperswal.workers.dev/data/stock-bars

A trading fund manager made a conditional trade for HUBB using 20,000 independent and identically distributed trade bootstrap draws with a seed of 91900. This method estimates the mean uncertainty, but not the tail bound, using independent period splits and the same daily proxy as periods 3368-71. The half-Kelly fraction refers to the risk units of binary average-payoff, not the notional value, and currently, no entry is qualified. The trade details are as follows: the symbol is HUBB, the period is holdout, the number of trades is 11, the mean percentage is -1.758224422557041, the 95% confidence interval percentage is between -6.184786166619379 and 4.245670903166796, the win percentage is 18.181818181818183, the average win percentage is 17.094303165960067, the average loss percentage is 5.947674997783065, and the half-Kelly risk fraction is 0. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A trading fund manager made a conditional trade plan for HUBB using 20,000 independent and identically distributed trade bootstrap draws, with a seed of 91900. This method estimates the average uncertainty, but not the extreme outcomes. The manager split the trading period into independent parts and used the same daily proxy as periods 3368 to 3371. The half-Kelly fraction refers to the amount of risk taken, based on the average payoff of a binary trade, not the total amount invested. According to the data, the symbol HUBB has a mean percentage change of 0.9505% during the training period, with a 95% confidence interval of -1.5292% to 3.5827%. The win percentage is 34.8837%, with an average win of 12.1468% and an average loss of 5.0475%. The half-Kelly risk fraction is 0.0391, which means 3.91% of the portfolio is at risk. No current trade entry is qualified. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A trading fund manager made 20,000 independent and identically distributed trade bootstrap draws, seeded with 91900. This process estimates the mean uncertainty, but not the tail bound, of the trades. The manager used the same daily proxy as periods 3368-71 and split the periods independently. The half-Kelly fraction refers to the risk units of binary average-payoff trades, not the notional value, and currently, no trade entry is qualified. The trade results for symbol NVT in the holdout period are as follows: the mean percentage change is 3.7722, the 95% confidence interval is between -4.1969 and 12.9946, the win percentage is 33.3333, the average win percentage is 24.0777, the average loss percentage is 6.3805, and the half-Kelly risk fraction is 0.0783. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A trading fund manager made 20,000 independent and identically distributed trade bootstrap draws, starting with a seed value of 91900. This process estimates the average uncertainty, but not the extreme possibilities, of the trades. The manager split the trading period into separate parts and used the same daily measurement as before, from 3368 to 3371. The Half-Kelly fraction refers to the risk of trades with two possible outcomes, measured in units of potential profit or loss, not the total value of the trades. Currently, no trade meets the conditions to be considered. The results of the analysis are as follows: the symbol is NVT, the period is train, the number of trades is 36, the average percentage change is 3.036020094846493, the 95 percent confidence interval is between -0.18460960623539976 and 6.414863605137755 percent, the percentage of winning trades is 44.44444444444444, the average percentage win is 13.558372464488814, the average percentage loss is 5.381861800867363, and the half-Kelly risk fraction is 0.11196108171531037. https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all

A diagnostic test was done on the HUBB stock using a fixed baseline of 20 days and 2 times the average true range, or ATR, which is a measure of how much a stock's price moves. Another option using 10 days and 3 times the ATR was not chosen because it did not work well when tested on data that was not used for training, known as the holdout period. The test used data from 2018 to 2024 for training and from 2025 to September 18, 2026, as the holdout period. The test made trades every day, only buying and entering at the next open, with a conservative stop-loss that included the entry day, a target of 3 times the risk, and a time limit of 60 sessions. There was a fee of 1 basis point on each side of the trade, plus some slippage, which is the difference between the expected and actual price of a trade. The test only considered trades in one direction, which is called long-only. The return on the portfolio was calculated by adding up the returns of all the closed trades. This test did not validate the results using 15-minute intervals and a 2R management system. The results of the test were as follows: the symbol was HUBB, the lookback period was 40 days, the ATR multiple was 3, the period was the holdout period, the slippage was 15 basis points, the return was 16.35%, the drawdown was 16.33%, the win percentage was 75%, the number of trades was 4, the mean trade return was 4.42%, and there were no targets met. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=all

A diagnostic check was done on the breakout parameter for HUBB with a specific set of rules. The baseline used was a 20-day average with a 2 times average true range, which is a measure of how much prices move. Another option, a 10-day average with a 3 times average true range, was not used because it did not work well when tested with unused data, known as a holdout. The rules were tested using data from 2018 to 2024 and then checked with data from 2025 to September 18, 2026. The strategy was to buy and hold each day, with a stop-loss order to limit losses, and a target of 3 times the risk. The test also included a small fee of 1 basis point for each buy and sell, plus some extra cost for the delay in buying or selling, known as slippage. The direction of the trade was only for buying, not selling. The results were as follows: the symbol was HUBB, the lookback period was 40 days, the average true range multiple was 3, the period tested was the holdout, the slippage was 5 basis points, the return was 17.29%, the maximum loss was 16.07%, the win rate was 75%, the number of trades was 4, the average trade return was 4.63%, and there were no targets met. This was not a validation of a 15-minute and 2 times risk management strategy. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=all

A diagnostic test was done on the stock HUBB with a specific set of parameters. The test used a fixed baseline of 20 days and 2 times the average true range, which is a measure of how much a stock's price moves. Another set of parameters, 10 days and 3 times the average true range, was not used because it did not perform well in a holdout test. The test used data from 2018 to 2024 for training and from 2025 to September 18, 2026, as a holdout to validate the results. The test was done with a daily long-only strategy, which means it only bought the stock and never sold it short. The test entered trades at the next open price and used a conservative stop-loss strategy that included the entry day. The target return was 3 times the risk, and the test looked at a horizon of 60 trading sessions. The test also included fees of 1 basis point on each side of the trade, plus slippage, which is the difference between the expected price and the actual price. The direction of the trade was corrected to only include long positions. The results of the test were compared to a vectorbt portfolio return, which is a measure of the return of a portfolio of trades. The test did not validate a 15-minute and +2R management strategy. The results of the test were as follows: the symbol was HUBB, the lookback period was 40 days, the ATR multiple was 3, the period was train, the slippage was 15 basis points, the return was 29.48%, the drawdown was 28.81%, the win percentage was 48%, the number of trades was 25, the mean trade return was 1.46%, and the targets were 3. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=all

A diagnostic test was done on the stock HUBB with a specific set of parameters. The test used a fixed baseline of 20 days and 2 times the average true range, which is a measure of stock price volatility. Another set of parameters, 10 days and 3 times the average true range, was not used because it did not perform well in a holdout test. The test used data from 2018 to 2024 for training and from 2025 to September 18, 2026, as a holdout to validate the results. The test was done with a daily long-only strategy, which means the test only considered buying the stock, not selling it short. The test entered trades at the next open price and used a conservative stop-loss strategy that included the entry day. The target profit was 3 times the risk, and the test looked at a horizon of 60 trading sessions. The test also included fees of 1 basis point on each side of the trade, plus slippage, which is the difference between the expected price and the actual price. The direction of the trade was corrected to long-only, and the return was calculated using the vectorbt portfolio return, which equals the compounded closed trade returns. The test did not validate the 15-minute and +2R management strategy. The results of the test are as follows: the symbol is HUBB, the lookback period is 40 days, the ATR multiple is 3, the period is train, the slippage is 5 basis points, the return percentage is 36.12%, the drawdown percentage is 27.40%, the win percentage is 48%, the number of trades is 25, the mean trade percentage is 1.66%, and the targets are 3. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=all

A trading strategy for HUBB stock used a fixed baseline of 20 days and 2 times the average true range, which is a measure of price volatility. Another option using 10 days and 3 times the average true range was not chosen after testing. The strategy was trained on data from 2018 to 2024 and tested on data from 2025 to September 18, 2026. The strategy involved buying the stock and holding it until a stop-loss was triggered or a target of 3 times the risk was reached, within a 60-day time frame. The strategy also included a small fee of 1 basis point on each trade, plus some slippage, which is the difference between the expected and actual trade price. The results showed a return of 2.20% and a maximum drawdown of 16.96%. The strategy was correct 40% of the time and had an average trade return of 0.92%. There were 5 trades in total, with no targets met. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=all

A diagnostic check was done on the HUBB R91900 costed breakout parameter. The baseline used was a fixed 20-day average with a 2 average true range, which is a measure of how much a stock's price moves. Another option, a 10-day average with a 3 average true range, was not chosen after testing with a holdout set, which is a way to test a strategy without using all the data. The strategy was trained using data from 2018 to 2024 and tested using data from 2025 to September 18, 2026. The strategy involved buying stocks every day and selling them when a certain target was reached or when a stop-loss was triggered, which is a way to limit losses. The target was set at 3 times the range, and the strategy was only used for buying, not selling. The results were calculated using a method called vectorbt portfolio return, which is a way to calculate the return on investment. The results showed a return of 3.23% and a maximum loss of 16.38%. The strategy was successful 40% of the time, with an average gain of 1.12% per trade. The data used for this diagnostic check included the symbol HUBB, a lookback period of 40 days, an ATR multiple of 2, and a slippage of 5 basis points, which is a measure of the difference between the expected price and the actual price of a trade. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=all

A diagnostic check was done on the breakout parameter for HUBB with the code R91900. The baseline used was the last 20 days with 2 times the average true range, which is a measure of how much prices move. Other options, such as the last 10 days with 40 times and 3 times the average true range, were not chosen after testing. The training period was from 2018 to 2024, and the test period was from 2025 to September 18, 2026. The strategy was to buy only, enter at the next open, and stop at the first loss, including the day of entry, with a target of 3 times the risk and a time limit of 60 sessions. Fees were 1 basis point on each side, plus the shown slippage, which is the difference between expected and actual trade prices. The direction was corrected to only buy. The return was calculated by adding up the returns of all closed trades. This does not validate the 15-minute and +2R management strategy. The results for HUBB were: symbol HUBB, lookback 40, ATR multiple 2, period train, slippage 15 basis points, return 3.426 percent, drawdown 39.218 percent, win percentage 32.352 percent, number of trades 34, mean trade percentage 0.410 percent, and targets 8. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=all

A diagnostic check was done on the HUBB R91900 costed breakout parameter. The baseline used was a 20-day average with a 2 times average true range, which is a measure of how much prices move. Another option, a 10-day average with a 3 times average true range, was not used because it did not work well when tested with holdout data, which is a way to test a strategy without using all the available data. The data used for training was from 2018 to 2024, and the data from 2025 to September 18, 2026, was used as a holdout. The trading strategy was to buy only, enter at the next open, and stop the trade if it did not work out, including on the day it was entered. The target was to make 3 times the risk, and the trade could last up to 60 sessions. There was a fee of 1 basis point on each side of the trade, plus some slippage, which is the difference between the expected price and the actual price. The direction of the trade was corrected to only go long, meaning only buy. The return on the portfolio was calculated by adding up the returns of all the closed trades. This diagnostic did not validate the 15-minute and +2R management strategy. The results of the diagnostic were as follows: the symbol was HUBB, the lookback period was 40 days, the ATR multiple was 2, the period was train, the slippage was 5 basis points, the return was 10.704 percent, the drawdown was 36.375 percent, the win percentage was 32.352 percent, there were 34 trades, the mean trade percentage was 0.6117459720846685, and there were 8 targets. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=all

A diagnostic test was done on the stock HUBB with a breakout parameter. The test used a fixed baseline of 20 days and 2 times the average true range, which is a measure of how much a stock's price moves. Another option of 10 days and 3 times the average true range was not used because it did not work well when tested separately. The test used data from 2018 to 2024 to train the model and from 2025 to September 18, 2026 as a holdout to validate the results. The test made daily trades, only buying the stock, and entering the trade at the next open price. It used a conservative stop-loss, which means it sold the stock if it lost a certain amount of value, including on the day it was bought. The test aimed to make 3 times the risk and had a time limit of 60 trading sessions. It also accounted for fees of 1 basis point on each trade, plus some extra costs. The direction of the trade was corrected to only buy the stock. The results were calculated using a method called vectorbt portfolio return, which is the same as the returns from all the closed trades combined. The results did not validate a 15-minute and 2 times risk management strategy. The results for the holdout period were: symbol HUBB, lookback 20, ATR multiple 3, return -33.25%, drawdown 41.11%, win percentage 22.22%, number of trades 9, average trade return -3.96%, and targets 0. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=all

A diagnostic test was done on the stock HUBB with a specific set of trading rules. The test used a baseline of 20 days and 2 times the average true range, which is a measure of how much a stock's price moves. Another set of rules using 10 days and 3 times the average true range was not used because it did not work well when tested separately. The test used data from 2018 to 2024 to train the system and data from 2025 to September 18, 2026, to see how well it worked. The system only made trades that would last for a long time, entering at the next open and stopping at a conservative level, including the day the trade was made, with a target of 3 times the risk and a time limit of 60 sessions. There was a fee of 1 basis point on each side of the trade plus some extra cost due to slippage, which is the difference between the expected price and the actual price. The direction of the trade was only long, meaning the system only bought the stock. The return on the portfolio was calculated by adding up the returns of all the closed trades. This test did not validate a 15-minute and +2R management strategy. The results of the test for the symbol HUBB were: a return of -32.04%, a maximum drawdown of 40.34%, a win rate of 22.22%, 9 trades, an average trade return of -3.77%, and 0 targets met. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=all

A diagnostic test was done on the HUBB stock with a breakout parameter. The test used a fixed baseline of 20 days and 2 times the average true range, which is a measure of stock price volatility. Another option of 10 days and 3 times the average true range was not used because it did not perform well in a holdout test. The test used data from 2018 to 2024 for training and from 2025 to September 18, 2026, as a holdout. The test made daily trades, only buying the stock, and entering trades at the next open price. It used a conservative stop-loss, including the entry day, and a target of 3 times the risk. The test lasted for 60 trading sessions and included fees of 1 basis point on each side of the trade, plus some slippage, which is the difference between expected and actual trade prices. The test only considered trades in one direction, which is buying the stock. The results of the test are as follows: the stock symbol is HUBB, the lookback period is 20 days, the average true range multiple is 3, the period is training, the slippage is 15 basis points, the return is 66.69%, the maximum drawdown is 35.49%, the win percentage is 43.75%, the number of trades is 32, the average trade return is 2.20%, and the number of targets is 4. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=all

A trading strategy for HUBB stock used a fixed baseline of 20 days and 2 times the average true range, or ATR, which is a measure of price volatility. Another option of 10 days and 3 times the ATR was not chosen after testing with a holdout period. The strategy was trained on data from 2018 to 2024 and tested on data from 2025 to September 18, 2026. The strategy involved buying the stock and holding it for up to 60 sessions, with a stop-loss order to limit losses. The target profit was 3 times the risk, and a fee of 1 basis point was charged for each trade, plus a small amount for slippage, which is the difference between the expected and actual price of a trade. The results showed a return of 77.70% and a maximum drawdown of 34.90%. The strategy was correct 43.75% of the time and had an average trade return of 2.40%. There were 32 trades and 4 targets. The results were based on daily data and did not use 15-minute data or a management validation of +2R. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=all

A trading strategy for HUBB stock used a fixed baseline of 20 days and 2 times the average true range, which is a measure of price volatility. The strategy was tested on data from 2018 to 2024 and then applied to data from 2025 to September 18, 2026, without using the results to adjust the strategy. The strategy involved buying the stock and holding it until a stop-loss was triggered or a target price was reached, with a maximum holding period of 60 trading sessions. The strategy also included fees of 1 basis point for each buy and sell, plus a slippage cost of 15 basis points. The results showed a return of -22.85% and a maximum drawdown of 31.80% during the holdout period, with 18.18% of trades being winners. The average trade return was -1.95%. The strategy was applied to 11 trades. https://runway.adityaperswal.workers.dev/data/stock-bars?timeframe=1Day&feed=sip&adjustment=all