[{"data":1,"prerenderedAt":24737},["ShallowReactive",2],{"strategy-library":3},{"reviewed":4,"retested":5,"total":6,"tested":7,"onMinuteBars":8,"done":7,"beat":9,"unsupported":10,"collections":11,"strategies":24,"curves":1508,"spy":24348,"spyMinute":24556,"orbitalFindings":24715,"costText":37,"orderText":37,"survived":24734},50,27,99,76,15,16,13,[12,16,20],{"id":13,"name":14,"about":15},"retest","The viral 50, re-tested","The 50 example strategies from the QuantJourney Backtester, collected at quants.md. Orbital re-ran every one it can express, with the original rules.",{"id":17,"name":18,"about":19},"research","Published research","Strategies from published papers, picked by a rule written before any of them was tested, and run on Orbital as closely as it can build them.",{"id":21,"name":22,"about":23},"orbital","Orbital Strategies","Strategies built in Orbital's own account, tuned over many versions and discounted for every one, and textbook rules on themed stock baskets, fixed before any run. Most of the baskets were picked with hindsight; each breakdown says how its basket was chosen.",[25,53,75,92,113,134,154,174,193,213,232,244,261,280,301,320,339,363,377,396,415,439,459,479,498,514,530,547,566,582,597,611,625,642,656,668,681,696,711,725,739,760,778,790,802,816,826,833,841,848,855,872,888,905,919,935,949,964,977,991,1005,1018,1031,1043,1057,1070,1084,1098,1117,1132,1143,1160,1173,1188,1203,1219,1232,1244,1257,1267,1279,1293,1303,1314,1327,1339,1349,1364,1376,1389,1403,1414,1426,1438,1452,1462,1474,1486,1498],{"id":26,"name":27,"family":28,"tags":29,"universe":31,"universe_short":32,"bars_label":33,"collection":13,"rule_short":34,"verdict":35,"prompt":36,"prompt_note":37,"not_testable_reason":37,"stats":38,"original":45,"forward":37},"O01","Market SMA Cross","SMA(20/50) crossover",[30],"Trend following","SPY, QQQ and IWM","SPY · QQQ · IWM","Daily","Buy when the 20-day SMA crosses above the 50-day SMA. Sell when it crosses back below.","trail","Trade SPY, QQQ and IWM on daily bars. Buy an ETF when its 20-day SMA crosses above its 50-day SMA, using 18% of equity. Sell it when the 20-day SMA crosses back below the 50-day. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.",null,{"total_return":39,"cagr":40,"sharpe":41,"max_dd":42,"win_rate":43,"profit_factor":44},54.55,4.45,0.05,-15.73,55.7,2.65,{"total_return":46,"cagr":47,"sharpe":48,"max_dd":49,"win_rate":50,"profit_factor":51,"span":52},126.66,3.33,0.21,-16.35,51.9,2.18,"2001-2025",{"id":54,"name":55,"family":56,"tags":57,"universe":31,"universe_short":32,"bars_label":33,"collection":13,"rule_short":59,"verdict":35,"prompt":60,"prompt_note":37,"not_testable_reason":37,"stats":61,"original":68,"forward":37},"O02","Market RSI Reversion","RSI reversion",[58],"Mean reversion","Buy when RSI(14) is below 35. Sell when RSI(14) rises above 60.","Trade SPY, QQQ and IWM on daily bars. If flat and RSI(14) is below 35, buy with 12% of equity. Sell when RSI(14) closes above 60. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.",{"total_return":62,"cagr":63,"sharpe":64,"max_dd":65,"win_rate":66,"profit_factor":67},17.4,1.62,-0.51,-10.94,69.6,2.7,{"total_return":69,"cagr":70,"sharpe":71,"max_dd":72,"win_rate":73,"profit_factor":74,"span":52},29.08,1.03,-0.17,-16.01,71.6,1.81,{"id":76,"name":77,"family":56,"tags":78,"universe":31,"universe_short":32,"bars_label":33,"collection":13,"rule_short":79,"verdict":35,"prompt":80,"prompt_note":81,"not_testable_reason":37,"stats":82,"original":88,"forward":37},"O03","Limit RSI Dip",[58],"When RSI(14) is below 40, place a buy limit 1.5% below the close (good for 3 bars).","Trade SPY, QQQ and IWM on daily bars. If flat and RSI(14) is below 40, place a buy limit 1.5% below that close, good for 3 days, using 15% of equity. Take profit at 3% above the entry price. No stop loss. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.","Orbital Chat cannot set a limit entry yet, so a backtest it proposes buys at the next open. To match this test, run it from Backtesting and choose a limit entry in the Run dialog.",{"total_return":83,"cagr":84,"sharpe":71,"max_dd":85,"win_rate":86,"profit_factor":87},35.02,3.05,-11.96,100,"inf",{"total_return":89,"cagr":67,"sharpe":90,"max_dd":91,"win_rate":86,"profit_factor":37,"span":52},94.66,0.14,-19.09,{"id":93,"name":94,"family":95,"tags":96,"universe":31,"universe_short":32,"bars_label":33,"collection":13,"rule_short":97,"verdict":35,"prompt":98,"prompt_note":81,"not_testable_reason":37,"stats":99,"original":106,"forward":37},"O04","Limit Trend Pullback","Trend pullback",[30],"When the close is above the 50-day SMA, place a buy limit 1% below the close (good for 2 bars).","Trade SPY, QQQ and IWM on daily bars. When flat and the close is above the 50-day SMA, place a buy limit 1% below that close, good for 2 days, using 12% of equity. Take profit at 4% above entry, and sell at the next open if the close falls below the 50-day SMA. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.",{"total_return":100,"cagr":101,"sharpe":102,"max_dd":103,"win_rate":104,"profit_factor":105},26.93,2.41,-0.53,-5.68,49.6,1.5,{"total_return":107,"cagr":108,"sharpe":109,"max_dd":110,"win_rate":111,"profit_factor":112,"span":52},56.83,1.82,-0.04,-6.85,48.2,1.36,{"id":114,"name":115,"family":116,"tags":117,"universe":31,"universe_short":32,"bars_label":33,"collection":13,"rule_short":119,"verdict":35,"prompt":120,"prompt_note":37,"not_testable_reason":37,"stats":121,"original":127,"forward":37},"O05","Stop Breakout Entry","20-day breakout",[118],"Breakout","Place a buy-stop 0.2% above the highest close of the prior 20 days (good for 5 bars). Exit at market after 10 bars.","Trade SPY, QQQ and IWM on daily bars. When flat, buy with 10% of equity at the next open after a daily close more than 0.2% above the highest close of the prior 20 days. Sell at the open 10 trading days after entry. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.",{"total_return":122,"cagr":51,"sharpe":123,"max_dd":124,"win_rate":125,"profit_factor":126},24.1,-0.83,-3.01,63.9,2,{"total_return":128,"cagr":129,"sharpe":130,"max_dd":131,"win_rate":132,"profit_factor":133,"span":52},41.44,1.4,-0.19,-10.48,61.9,1.45,{"id":135,"name":136,"family":28,"tags":137,"universe":31,"universe_short":32,"bars_label":33,"collection":13,"rule_short":138,"verdict":35,"prompt":139,"prompt_note":37,"not_testable_reason":37,"stats":140,"original":147,"forward":37},"O06","Protective Stop Loss",[30],"Buy on the SMA(20/50) cross up, attach a stop 5% below entry, and sell on the cross down.","Trade SPY, QQQ and IWM on daily bars. Buy with 15% of equity when the 20-day SMA crosses above the 50-day SMA. Exit if price falls 5% below the entry price, or when the 20-day SMA crosses back below the 50-day. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.",{"total_return":141,"cagr":142,"sharpe":143,"max_dd":144,"win_rate":145,"profit_factor":146},19.01,1.76,-0.49,-16,47.1,1.59,{"total_return":148,"cagr":149,"sharpe":150,"max_dd":151,"win_rate":152,"profit_factor":153,"span":52},60.13,1.9,0,-16.22,44.7,1.7,{"id":155,"name":156,"family":116,"tags":157,"universe":31,"universe_short":32,"bars_label":33,"collection":13,"rule_short":158,"verdict":35,"prompt":159,"prompt_note":81,"not_testable_reason":37,"stats":160,"original":167,"forward":37},"O07","Stop Limit Breakout",[118],"Buy-stop 0.2% above the prior 20-day high close, with a limit 0.4% above the stop so it never chases (good for 5 bars). Exit at market after 12 bars.","Trade SPY, QQQ and IWM on daily bars. When flat and a daily close is more than 0.2% above the highest close of the prior 20 days, place a buy limit 0.4% above that close, good for 5 days, using 10% of equity. Sell at the open 12 trading days after entry. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.",{"total_return":161,"cagr":162,"sharpe":163,"max_dd":164,"win_rate":165,"profit_factor":166},23.36,2.12,-0.77,-3.18,67.9,1.91,{"total_return":168,"cagr":169,"sharpe":170,"max_dd":171,"win_rate":172,"profit_factor":173,"span":52},56.21,1.8,-0.05,-6.37,63,1.63,{"id":175,"name":176,"family":28,"tags":177,"universe":31,"universe_short":32,"bars_label":33,"collection":13,"rule_short":178,"verdict":35,"prompt":179,"prompt_note":37,"not_testable_reason":37,"stats":180,"original":187,"forward":37},"O08","Stop Limit Protection",[30],"Buy on the SMA(20/50) cross up; protect with a stop-limit sell (stop 4% below entry, limit 4.5% below). Sell on the cross down.","Trade SPY, QQQ and IWM on daily bars. Buy with 15% of equity when the 20-day SMA crosses above the 50-day SMA. Exit if price falls 4% below entry, or when the 20-day SMA crosses back below the 50-day. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.",{"total_return":181,"cagr":182,"sharpe":183,"max_dd":184,"win_rate":185,"profit_factor":186},15.31,1.44,-0.62,-14.25,42.3,1.48,{"total_return":188,"cagr":189,"sharpe":190,"max_dd":191,"win_rate":192,"profit_factor":74,"span":52},63.64,1.99,0.02,-14.18,43.1,{"id":194,"name":195,"family":28,"tags":196,"universe":31,"universe_short":32,"bars_label":33,"collection":13,"rule_short":197,"verdict":35,"prompt":198,"prompt_note":37,"not_testable_reason":37,"stats":199,"original":206,"forward":37},"O09","Trailing Stop Trend",[30],"Buy on the SMA(20/50) cross up; a 4% trailing stop manages the exit; also sell on the cross down.","Trade SPY, QQQ and IWM on daily bars. Buy with 15% of equity when the 20-day SMA crosses above the 50-day SMA. Exit with a 4% trailing stop from the highest price since entry, or when the 20-day SMA crosses back below the 50-day. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.",{"total_return":200,"cagr":201,"sharpe":202,"max_dd":203,"win_rate":204,"profit_factor":205},20.04,1.84,-0.92,-6.64,56.9,2.5,{"total_return":207,"cagr":208,"sharpe":209,"max_dd":210,"win_rate":211,"profit_factor":212,"span":52},30.04,1.06,-0.33,-7.02,47.6,1.71,{"id":214,"name":215,"family":56,"tags":216,"universe":31,"universe_short":32,"bars_label":33,"collection":13,"rule_short":217,"verdict":35,"prompt":218,"prompt_note":37,"not_testable_reason":37,"stats":219,"original":226,"forward":37},"O10","Trailing Stop RSI",[58],"Buy when RSI(14) is below 38; a 5% trailing stop manages risk; sell at market when RSI(14) rises above 65.","Trade SPY, QQQ and IWM on daily bars. If flat and RSI(14) is below 38, buy with 15% of equity. Exit with a 5% trailing stop from the highest price since entry, or when RSI(14) closes above 65. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.",{"total_return":220,"cagr":221,"sharpe":222,"max_dd":223,"win_rate":224,"profit_factor":225},15.24,1.43,-0.52,-10.55,42.1,1.29,{"total_return":227,"cagr":222,"sharpe":228,"max_dd":229,"win_rate":230,"profit_factor":231,"span":52},-12.16,-0.41,-38.99,39.8,0.91,{"id":233,"name":234,"family":28,"tags":235,"universe":31,"universe_short":32,"bars_label":33,"collection":13,"rule_short":236,"verdict":35,"prompt":198,"prompt_note":37,"not_testable_reason":37,"stats":237,"original":238,"forward":37},"O11","Trailing Stop Limit",[30],"Buy on the SMA(20/50) cross up; a trailing stop 4% of price below the high converts to a limit 0.5% lower; sell on the cross down.",{"total_return":200,"cagr":201,"sharpe":202,"max_dd":203,"win_rate":204,"profit_factor":205},{"total_return":239,"cagr":240,"sharpe":241,"max_dd":242,"win_rate":211,"profit_factor":243,"span":52},28.1,1,-0.38,-6.15,1.69,{"id":245,"name":246,"family":28,"tags":247,"universe":31,"universe_short":32,"bars_label":33,"collection":13,"rule_short":248,"verdict":35,"prompt":249,"prompt_note":37,"not_testable_reason":37,"stats":250,"original":255,"forward":37},"O12","Bracket Trend",[30],"Buy on the SMA(20/50) cross up with a +6% take-profit and a -3% stop; sell on the cross down.","Trade SPY, QQQ and IWM on daily bars. Buy with 15% of equity when the 20-day SMA crosses above the 50-day SMA. Take profit at +6% from entry, stop out at -3%, and otherwise exit when the 20-day SMA crosses back below the 50-day. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.",{"total_return":251,"cagr":186,"sharpe":252,"max_dd":253,"win_rate":4,"profit_factor":254},15.87,-1.17,-6.8,1.88,{"total_return":256,"cagr":257,"sharpe":241,"max_dd":258,"win_rate":259,"profit_factor":260,"span":52},29.39,1.04,-6.82,45.8,1.58,{"id":262,"name":263,"family":56,"tags":264,"universe":31,"universe_short":32,"bars_label":33,"collection":13,"rule_short":265,"verdict":35,"prompt":266,"prompt_note":37,"not_testable_reason":37,"stats":267,"original":274,"forward":37},"O13","Bracket RSI Reversion",[58],"Buy when RSI(14) is below 35 with a +4% take-profit and a -2% stop; sell at market if RSI(14) rises above 70.","Trade SPY, QQQ and IWM on daily bars. If flat and RSI(14) is below 35, buy with 15% of equity. Take profit at +4% from entry, stop out at -2%, and otherwise exit when RSI(14) closes above 70. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.",{"total_return":268,"cagr":269,"sharpe":270,"max_dd":271,"win_rate":272,"profit_factor":273},7.55,0.73,-1.11,-8.32,38,1.23,{"total_return":275,"cagr":276,"sharpe":277,"max_dd":278,"win_rate":259,"profit_factor":279,"span":52},8.51,0.33,-0.43,-11.61,1.07,{"id":281,"name":282,"family":283,"tags":284,"universe":31,"universe_short":32,"bars_label":33,"collection":13,"rule_short":285,"verdict":35,"prompt":286,"prompt_note":37,"not_testable_reason":37,"stats":287,"original":294,"forward":37},"O14","OCO Dip Or Breakout","Dip or breakout",[118,58],"Every fifth bar while flat, place two competing buys: a limit 2% below the close and a stop 2% above it (good for 5 bars); whichever fills cancels the other.","Trade SPY, QQQ and IWM on daily bars. Every fifth trading day while flat, note that day's close. If a close in the next 5 days is 2% below it or 2% above it, buy with 10% of equity at the next open. Sell at the open 10 trading days after entry. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.",{"total_return":288,"cagr":289,"sharpe":290,"max_dd":291,"win_rate":292,"profit_factor":293},21.58,1.97,-0.58,-6.88,62.5,1.49,{"total_return":295,"cagr":296,"sharpe":297,"max_dd":298,"win_rate":299,"profit_factor":300,"span":52},45.53,1.51,-0.08,-13.15,58,1.27,{"id":302,"name":303,"family":56,"tags":304,"universe":31,"universe_short":32,"bars_label":306,"collection":13,"rule_short":307,"verdict":308,"prompt":309,"prompt_note":37,"not_testable_reason":37,"stats":310,"original":317,"forward":37},"O15","Intraday Bracket Reversion 5m",[58,305],"Intraday","5-min","On 5-minute bars, buy when RSI(14) is below 30 with a +0.6% take-profit and a -0.4% stop.","loss","Trade SPY, QQQ and IWM on 5-minute bars during regular hours. If flat and RSI(14) is below 30, buy with 20% of equity. Take profit at +0.6% from entry and stop out at -0.4%. Long only. Backtest the last 3 years with $100,000.",{"total_return":311,"cagr":312,"sharpe":313,"max_dd":314,"win_rate":315,"profit_factor":316},-21.87,-7.9,-2.4,-24.31,37.8,1.12,{"total_return":316,"cagr":37,"sharpe":37,"max_dd":318,"win_rate":37,"profit_factor":37,"span":319},-1.28,"4 weeks",{"id":321,"name":322,"family":323,"tags":324,"universe":31,"universe_short":32,"bars_label":325,"collection":13,"rule_short":326,"verdict":308,"prompt":327,"prompt_note":37,"not_testable_reason":37,"stats":328,"original":335,"forward":37},"O16","Intraday Stop Breakout 30m","Intraday breakout",[118,305],"30-min","On 30-minute bars, buy-stop 0.1% above the prior 12-bar high (good for 3 bars). Exit at market after 8 bars.","Trade SPY, QQQ and IWM on 30-minute bars during regular hours. When flat, buy with 20% of equity after a 30-minute close more than 0.1% above the highest high of the prior 12 bars. Sell 8 bars after entry. Long only. Backtest the last 3 years with $100,000.",{"total_return":329,"cagr":330,"sharpe":331,"max_dd":332,"win_rate":333,"profit_factor":334},-10.34,-3.57,-1.82,-15.16,47.4,1.14,{"total_return":336,"cagr":37,"sharpe":37,"max_dd":337,"win_rate":37,"profit_factor":37,"span":338},-13.95,-14.85,"8 weeks",{"id":340,"name":341,"family":342,"tags":343,"universe":345,"universe_short":346,"bars_label":33,"collection":13,"rule_short":347,"verdict":35,"prompt":348,"prompt_note":37,"not_testable_reason":37,"stats":349,"original":355,"forward":37},"O17","Monthly Rotation Orders","Momentum rotation",[344],"Momentum","SPY, EFA, EEM, TLT, IEF, GLD, DBC and VNQ","8 multi-asset ETFs","On the first trading day of each month, rank the eight ETFs by 126-day return and hold the top three in equal dollar amounts, selling any that drop out.","Rotate among SPY, EFA, EEM, TLT, IEF, GLD, DBC and VNQ on daily bars. On the first trading day of each month, sell every holding, and the next day buy the three ETFs with the highest 126-day return, 33% of equity each. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.",{"total_return":350,"cagr":351,"sharpe":352,"max_dd":353,"win_rate":354,"profit_factor":173},139.72,9.14,0.44,-18.82,59.1,{"total_return":356,"cagr":357,"sharpe":358,"max_dd":359,"win_rate":360,"profit_factor":361,"span":362},380.52,8.62,0.53,-28.23,52.1,1.78,"2007-2025",{"id":364,"name":365,"family":28,"tags":366,"universe":31,"universe_short":32,"bars_label":33,"collection":13,"rule_short":367,"verdict":35,"prompt":368,"prompt_note":37,"not_testable_reason":37,"stats":369,"original":370,"forward":37},"O18","Signal Change Rotation Orders",[30],"Buy on a flat-to-long SMA(20/50) flip and sell on a long-to-flat flip; do nothing in between. Functionally the same rule as O01.","Trade SPY, QQQ and IWM on daily bars. Buy an ETF when it moves from flat to long on its 20-day SMA crossing above its 50-day SMA, using 18% of equity, and sell it when the 20-day SMA crosses back below. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.",{"total_return":39,"cagr":40,"sharpe":41,"max_dd":42,"win_rate":43,"profit_factor":44},{"total_return":371,"cagr":372,"sharpe":373,"max_dd":374,"win_rate":375,"profit_factor":376,"span":52},129.76,3.38,0.22,-16.27,52.4,2.21,{"id":378,"name":379,"family":380,"tags":381,"universe":383,"universe_short":384,"bars_label":33,"collection":13,"rule_short":385,"verdict":386,"prompt":387,"prompt_note":388,"not_testable_reason":389,"stats":37,"original":390,"forward":37},"O19","FX Momentum Lots","FX momentum",[344,382],"FX","EURUSD, GBPUSD, AUDUSD and NZDUSD","FX majors","Trade each pair in the direction of its 126-day move, sized in whole standard lots by ATR risk.","skip","Trade the currency ETFs FXE, FXB and FXA on daily bars. Hold an ETF long while its 126-day return is positive and short while it is negative, with 20% of equity per position. When the sign flips, close the position at the next open and open the other side the day after. Use a margin account so it can sell short. Backtest the last 10 years with $100,000.","Closest Orbital version: the currency ETFs FXE, FXB and FXA stand in for EURUSD, GBPUSD and AUDUSD, and NZDUSD is dropped because no US-listed ETF tracks it. Whole standard lots, sized by ATR risk and recounted every day, become a fixed 20% of equity per ETF, the original's notional cap on each pair, and a flip spends a day flat because Orbital closes a position before opening the other side.","Spot FX. Orbital's backtester covers US stocks and ETFs.",{"total_return":391,"cagr":392,"sharpe":393,"max_dd":394,"win_rate":37,"profit_factor":37,"span":395},-14.2,-0.95,-0.71,-15.25,"2010-2025",{"id":397,"name":398,"family":399,"tags":400,"universe":402,"universe_short":401,"bars_label":33,"collection":13,"rule_short":403,"verdict":386,"prompt":404,"prompt_note":405,"not_testable_reason":406,"stats":37,"original":407,"forward":37},"O20","Futures Donchian Contracts","Futures trend",[118,30,401],"Futures","MES, MNQ, CL and GC continuous futures","55-day Donchian breakout, long or short, in whole contracts sized by ATR and margin.","Trade SPY, QQQ, USO and GLD on daily bars. Go long an ETF when it closes above the highest high of the prior 55 days, and short it when it closes below the lowest low of the prior 55 days, with 25% of equity per position. Hold each position until the opposite breakout, then close it at the next open and open the other side the day after. Use a margin account so it can sell short. Backtest the last 10 years with $100,000.","Closest Orbital version: SPY, QQQ, USO and GLD stand in for the micro S&P 500, micro Nasdaq-100, crude oil and gold futures. Contracts sized by ATR and margin become 25% of equity per ETF, the original's notional cap on each market, and a reversal spends a day flat because Orbital closes a position before opening the other side.","Futures. Orbital's backtester covers US stocks and ETFs.",{"total_return":408,"cagr":409,"sharpe":410,"max_dd":411,"win_rate":412,"profit_factor":413,"span":414},35.5,4.67,0.3,-16.7,48,1.34,"2019-2025",{"id":416,"name":417,"family":418,"tags":419,"universe":420,"universe_short":421,"bars_label":33,"collection":13,"rule_short":422,"verdict":35,"prompt":423,"prompt_note":37,"not_testable_reason":37,"stats":424,"original":431,"forward":37},"W01","Daily SMA Trend","SMA(50/200) trend",[30],"XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV and XLY","9 sector ETFs","Hold each sector ETF while its 50-day SMA is above its 200-day SMA.","Trade the sector ETFs XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV and XLY on daily bars. Buy an ETF with 11% of equity when its 50-day SMA is above its 200-day SMA, and sell it when the 50-day falls below the 200-day. Long only; uninvested capital stays in cash. Backtest from November 21, 2016 to October 30, 2026 with $100,000.",{"total_return":425,"cagr":426,"sharpe":427,"max_dd":428,"win_rate":429,"profit_factor":430},89.03,6.62,0.24,-28.63,54.4,2.36,{"total_return":432,"cagr":433,"sharpe":434,"max_dd":435,"win_rate":436,"profit_factor":437,"span":438},536.96,7.38,0.45,-34.68,72.6,2.48,"2000-2025",{"id":440,"name":441,"family":418,"tags":442,"universe":345,"universe_short":346,"bars_label":33,"collection":13,"rule_short":443,"verdict":35,"prompt":444,"prompt_note":37,"not_testable_reason":37,"stats":445,"original":452,"forward":37},"W02","Monthly Drift ETF",[30],"Hold each ETF while its 50-day SMA is above its 200-day SMA; rebalance at month-end or when a weight drifts 5% from target.","Trade SPY, EFA, EEM, TLT, IEF, GLD, DBC and VNQ on daily bars. Buy an ETF with 12% of equity when its 50-day SMA is above its 200-day SMA, and sell it when the 50-day falls below the 200-day. Long only; uninvested capital stays in cash. Backtest from November 21, 2016 to October 30, 2026 with $100,000.",{"total_return":446,"cagr":447,"sharpe":448,"max_dd":449,"win_rate":450,"profit_factor":451},66.06,5.24,0.15,-16.85,44.8,2.02,{"total_return":453,"cagr":454,"sharpe":455,"max_dd":456,"win_rate":457,"profit_factor":458,"span":362},137.66,4.66,0.31,-19.36,63.5,1.73,{"id":460,"name":461,"family":56,"tags":462,"universe":420,"universe_short":421,"bars_label":33,"collection":13,"rule_short":463,"verdict":35,"prompt":464,"prompt_note":37,"not_testable_reason":37,"stats":465,"original":472,"forward":37},"W03","Weekly RSI Reversion",[58],"Enter a sector ETF when RSI(14) is below 35; stay in until RSI(14) is above 60.","Trade the sector ETFs XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV and XLY on daily bars, deciding on Fridays only. Buy an ETF with 25% of equity when RSI(14) closes below 35, most oversold first, and sell it when RSI(14) closes above 60. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.",{"total_return":466,"cagr":467,"sharpe":468,"max_dd":469,"win_rate":470,"profit_factor":471},134.75,8.91,0.38,-33.56,79.3,4.85,{"total_return":473,"cagr":474,"sharpe":475,"max_dd":476,"win_rate":477,"profit_factor":478,"span":438},372.51,6.16,0.34,-49.2,62.1,2.15,{"id":480,"name":481,"family":342,"tags":482,"universe":345,"universe_short":346,"bars_label":33,"collection":13,"rule_short":483,"verdict":35,"prompt":484,"prompt_note":37,"not_testable_reason":37,"stats":485,"original":491,"forward":37},"W04","Quarterly Dual Momentum",[344],"At each quarter-end, rank the ETFs by 12-month return and hold the top two, but only those with a positive return.","Rotate among SPY, EFA, EEM, TLT, IEF, GLD, DBC and VNQ on daily bars. On the first trading day of each quarter, sell every holding, and the next day buy the two ETFs with the highest 252-day return, 49% of equity each, skipping any whose 252-day return is negative. Long only; uninvested capital stays in cash. Backtest from March 1, 2017 to October 30, 2026 with $100,000.",{"total_return":486,"cagr":40,"sharpe":487,"max_dd":488,"win_rate":489,"profit_factor":490},52.35,0.09,-42.47,64.9,1.46,{"total_return":492,"cagr":493,"sharpe":494,"max_dd":495,"win_rate":496,"profit_factor":497,"span":362},64.62,2.66,0.12,-42.75,59.5,1.21,{"id":499,"name":500,"family":501,"tags":502,"universe":345,"universe_short":346,"bars_label":33,"collection":13,"rule_short":504,"verdict":386,"prompt":505,"prompt_note":506,"not_testable_reason":507,"stats":37,"original":508,"forward":37},"W05","Monthly Inverse Vol","Risk-based allocation",[503],"Risk-based sizing","Always hold all eight ETFs, weighted by the inverse of their 63-day volatility.","Trade SPY, EFA, EEM, TLT, IEF, GLD, DBC and VNQ on daily bars. On the first trading day of each month, sell every holding, and the next day buy all eight. Size each purchase by its annualized volatility, the standard deviation of its last 63 daily returns times the square root of 252: 10% of equity for an ETF at 10% volatility, scaled inversely (20% at 5%), between 1% and 35% of equity. Long only, on a margin account so the total can pass 100% in the calmest months; uninvested capital stays in cash. Backtest the last 10 years with $100,000.","Closest Orbital version: Orbital sizes each ETF from its own volatility and cannot rescale the eight weights to add up to 100%, so this version is about two-thirds invested in a typical month, holds more cash as volatility rises and passes 100% on margin only in the calmest months. Each monthly rebalance sells everything and buys all eight back the next day.","Its weights depend on every ETF's volatility at once. Orbital sizes each position from that ETF's own data, so it cannot normalise weights across the basket.",{"total_return":509,"cagr":510,"sharpe":434,"max_dd":511,"win_rate":512,"profit_factor":513,"span":362},174.15,5.45,-20.42,73.2,3.59,{"id":515,"name":516,"family":517,"tags":518,"universe":345,"universe_short":346,"bars_label":33,"collection":13,"rule_short":519,"verdict":386,"prompt":520,"prompt_note":521,"not_testable_reason":522,"stats":37,"original":523,"forward":37},"W06","Signal Change Defensive","Defensive rotation",[30],"If SPY closes above its 200-day SMA, hold SPY, EFA, EEM, DBC and VNQ; otherwise hold TLT, IEF and GLD. Trade only when the regime flips.","Trade SPY, EFA, EEM, TLT, IEF, GLD, DBC and VNQ on daily bars. Buy an ETF with 12% of equity when it closes above its own 200-day SMA, and sell it when it closes below its 200-day SMA. Long only; uninvested capital stays in cash. Backtest from November 21, 2016 to October 30, 2026 with $100,000.","Closest Orbital version: Orbital decides each ETF on its own bars, so each one follows its own 200-day SMA instead of SPY's, at a fixed 12% of equity. Without the switch between the risk-on and defensive groups, this is a per-ETF trend filter rather than a regime rotation.","Its signal is SPY's trend, applied to other ETFs. An Orbital strategy decides each symbol on that symbol's own bars.",{"total_return":524,"cagr":525,"sharpe":526,"max_dd":527,"win_rate":528,"profit_factor":529,"span":362},132.21,4.54,0.26,-24.57,41.1,1.64,{"id":531,"name":532,"family":56,"tags":533,"universe":31,"universe_short":32,"bars_label":534,"collection":13,"rule_short":535,"verdict":35,"prompt":536,"prompt_note":37,"not_testable_reason":37,"stats":537,"original":543,"forward":37},"W07","Intraday RSI 15m",[58,305],"15-min","On 15-minute bars, enter when RSI(14) is below 35 and stay in until RSI(14) is above 55.","Trade SPY, QQQ and IWM on 15-minute bars during regular hours. Buy an ETF with 25% of equity when RSI(14) closes below 35, and sell it when RSI(14) closes above 55. Long only. Backtest the last 3 years with $100,000.",{"total_return":538,"cagr":539,"sharpe":540,"max_dd":541,"win_rate":542,"profit_factor":105},6.87,2.24,-0.26,-15.47,63.1,{"total_return":544,"cagr":37,"sharpe":37,"max_dd":545,"win_rate":37,"profit_factor":37,"span":546},2.64,-1.07,"3 weeks",{"id":548,"name":549,"family":550,"tags":551,"universe":31,"universe_short":32,"bars_label":552,"collection":13,"rule_short":553,"verdict":308,"prompt":554,"prompt_note":37,"not_testable_reason":37,"stats":555,"original":562,"forward":37},"W08","Intraday EMA Scalp 1m","Intraday trend",[30,305],"1-min","On 1-minute bars, hold each ETF while its 9-bar EMA is above its 21-bar EMA.","Trade SPY, QQQ and IWM on 1-minute bars during regular hours. Hold an ETF with 33% of equity while its 9-bar EMA is above its 21-bar EMA. Long only. Backtest the last 3 years with $100,000.",{"total_return":556,"cagr":557,"sharpe":558,"max_dd":559,"win_rate":560,"profit_factor":561},-98.81,-77.18,-12.61,-98.82,17.3,1.15,{"total_return":563,"cagr":37,"sharpe":37,"max_dd":564,"win_rate":37,"profit_factor":37,"span":565},-0.23,-0.24,"6 days",{"id":567,"name":568,"family":550,"tags":569,"universe":31,"universe_short":32,"bars_label":570,"collection":13,"rule_short":571,"verdict":35,"prompt":572,"prompt_note":37,"not_testable_reason":37,"stats":573,"original":579,"forward":37},"W09","Intraday SMA Trend 1h",[30,305],"Hourly","On hourly bars, hold each ETF while its 10-bar SMA is above its 30-bar SMA.","Trade SPY, QQQ and IWM on hourly bars during regular hours. Hold an ETF with 25% of equity while its 10-bar SMA is above its 30-bar SMA. Long only. Backtest the last 3 years with $100,000.",{"total_return":574,"cagr":575,"sharpe":576,"max_dd":577,"win_rate":578,"profit_factor":273},8.36,2.71,-0.15,-12.62,37.9,{"total_return":105,"cagr":37,"sharpe":37,"max_dd":580,"win_rate":37,"profit_factor":37,"span":581},-3.49,"9 weeks",{"id":583,"name":584,"family":418,"tags":585,"universe":345,"universe_short":346,"bars_label":33,"collection":13,"rule_short":586,"verdict":386,"prompt":587,"prompt_note":588,"not_testable_reason":589,"stats":37,"original":590,"forward":37},"W10","Monthly Circuit Breaker",[30,503],"SMA(50/200) trend on the multi-asset basket, rebalanced monthly; if the account falls 15% from its peak, go to cash for 10 days.","Trade SPY, EFA, EEM, TLT, IEF, GLD, DBC and VNQ on daily bars. On the first trading day of each month, sell any holding whose 50-day SMA is below its 200-day SMA, and buy any ETF not held whose 50-day SMA is above its 200-day, with 12% of equity. On any day, if a holding closes more than 15% below its highest close since it was bought, sell it, and do not buy it again for 10 trading days. Long only; uninvested capital stays in cash. Backtest from November 21, 2016 to October 30, 2026 with $100,000.","Closest Orbital version: Orbital cannot see the account's drawdown, so the 15% circuit breaker and its 10-day pause apply to each ETF from its own highest close since purchase. Each holding is a fixed 12% of equity instead of an equal share of the holders capped at 30%, and keeps that size until it is sold, with no monthly rebalance.","Its circuit breaker reads the account's drawdown, which an Orbital strategy cannot see.",{"total_return":591,"cagr":592,"sharpe":593,"max_dd":594,"win_rate":595,"profit_factor":596,"span":362},14.19,0.7,-0.45,-10.58,53.3,1.11,{"id":598,"name":599,"family":342,"tags":600,"universe":345,"universe_short":346,"bars_label":33,"collection":13,"rule_short":601,"verdict":386,"prompt":602,"prompt_note":603,"not_testable_reason":604,"stats":37,"original":605,"forward":37},"W11","Quarterly TE Cost Gate",[344],"Hold the top three ETFs by 126-day return, rebalanced quarterly, earlier if tracking error versus SPY exceeds 6%, within an annual turnover budget of 4x.","Rotate among SPY, EFA, EEM, TLT, IEF, GLD, DBC and VNQ on daily bars. On the first trading day of each quarter, sell every holding, and the next day buy the three ETFs with the highest 126-day return, 33% of equity each. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.","Closest Orbital version: the quarterly top-three rotation without its early rebalance on a 6% tracking error against SPY or its 4x turnover budget, which need the whole portfolio and SPY in one decision. Each quarter it sells everything and buys the new top three the next day, 33% each, which makes it O17's rule run quarterly instead of monthly.","It rebalances on tracking error against SPY within a turnover budget, which needs the whole portfolio and SPY in one decision.",{"total_return":606,"cagr":607,"sharpe":352,"max_dd":608,"win_rate":609,"profit_factor":610,"span":362},266.04,7.07,-25.47,66.4,2.67,{"id":612,"name":613,"family":614,"tags":615,"universe":420,"universe_short":421,"bars_label":33,"collection":13,"rule_short":616,"verdict":386,"prompt":617,"prompt_note":618,"not_testable_reason":619,"stats":37,"original":620,"forward":37},"W12","Daily Partial Drift","Momentum tilt",[344],"Weight each sector ETF by its positive 63-day return (zero if negative); only trade positions that drift more than 10 points from target.","Trade the sector ETFs XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV and XLY on daily bars. On the first trading day of each month, sell every holding, and the next day buy each ETF whose 63-day return is positive, strongest first while cash lasts. Size each one at three times its 63-day return, as a percent of equity between 1% and 35%: a 5% return buys 15% of equity. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.","Closest Orbital version: Orbital cannot split the account among the ETFs in proportion to their momentum or resize a holding in place, so each ETF is sized at three times its own 63-day return, and every holding is sold and rebought each month instead of adjusted daily once it drifts more than 10 points from its target. Those sizes often add up to more than the account, and the weakest ETFs that do not fit are left out until the next month.","Its weights are each ETF's momentum as a share of the basket's, which Orbital cannot normalise across symbols.",{"total_return":621,"cagr":622,"sharpe":410,"max_dd":623,"win_rate":624,"profit_factor":63,"span":438},268.9,5.15,-36.75,68.2,{"id":626,"name":627,"family":628,"tags":629,"universe":631,"universe_short":632,"bars_label":33,"collection":13,"rule_short":633,"verdict":386,"prompt":634,"prompt_note":635,"not_testable_reason":636,"stats":37,"original":637,"forward":37},"W13","Pairs Ratio Z Score","Pairs trading",[58,630],"Market neutral","KO and PEP","KO / PEP","Z-score of log(KO) minus log(PEP) over 60 days: above +2 short KO and buy PEP, below -2 the reverse; close when the z-score is back inside 0.5.","Trade KO and PEP on daily bars, each stock on its own. Each day, measure its 60-day z-score: how many standard deviations the close is above or below its 60-day average. Short a stock with 50% of equity when its z-score is above +2, and buy it with 50% of equity when its z-score is below -2. Cover a short when the z-score falls back below +0.5, and sell a long when it rises back above -0.5. Long and short; use a margin account for the shorts. Backtest the last 10 years with $100,000.","Closest Orbital version: a pairs trade needs both prices in one decision, so each stock trades its own 60-day z-score instead of the spread between them. That makes it single-stock mean reversion, long and short, and no longer market neutral.","A pairs trade needs both prices in one decision. An Orbital strategy decides each symbol on its own bars.",{"total_return":638,"cagr":639,"sharpe":170,"max_dd":640,"win_rate":641,"profit_factor":334,"span":438},48.83,1.54,-23.57,49.1,{"id":643,"name":644,"family":628,"tags":645,"universe":646,"universe_short":647,"bars_label":33,"collection":13,"rule_short":648,"verdict":386,"prompt":649,"prompt_note":650,"not_testable_reason":636,"stats":37,"original":651,"forward":37},"W14","Pairs Hedge Ratio",[58,630],"EWA and EWC","EWA / EWC","Spread of log(EWA) minus a rolling 60-day hedge ratio times log(EWC); trade its 60-day z-score at ±2, exit inside 0.5.","Trade EWA and EWC on daily bars, each ETF on its own. Each day, measure its 60-day z-score: how many standard deviations the close is above or below its 60-day average. Short an ETF with 50% of equity when its z-score is above +2, and buy it with 50% of equity when its z-score is below -2. Cover a short when the z-score falls back below +0.5, and sell a long when it rises back above -0.5. Long and short; use a margin account for the shorts. Backtest the last 10 years with $100,000.","Closest Orbital version: the rolling hedge ratio and the spread need both prices in one decision, so each ETF trades its own 60-day z-score. That drops the hedge and the pairing, so on Orbital it is W13's rule applied to EWA and EWC, and it is no longer market neutral.",{"total_return":652,"cagr":434,"sharpe":653,"max_dd":654,"win_rate":655,"profit_factor":208,"span":438},12.36,-0.3,-14.27,50.2,{"id":657,"name":658,"family":659,"tags":660,"universe":420,"universe_short":421,"bars_label":33,"collection":13,"rule_short":661,"verdict":386,"prompt":662,"prompt_note":663,"not_testable_reason":664,"stats":37,"original":665,"forward":37},"W15","Cross Sectional Momentum","Cross-sectional long/short",[344,630],"Each month-end, buy the three sector ETFs with the best 12-month return and short the three with the worst.","Rotate among the sector ETFs XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV and XLY on daily bars. On the first trading day of each month, sell every holding, and the next day buy the three ETFs with the highest 252-day return, 16.7% of equity each. Long only; uninvested capital stays in cash. Backtest from March 1, 2017 to October 30, 2026 with $100,000.","Closest Orbital version: a run can take only one end of its ranking, so it keeps only the long half, the three strongest sectors at the original's one-sixth weight each with the rest of the account in cash, and is no longer market neutral. Orbital never sells a holding for a better one, so each monthly switch sells everything and buys the new three a day later; the 252-day lookback needs a year of history, which Orbital's data first has in January 2017, so the first two months of the ten-year window are in cash.","It buys the top three and shorts the bottom three of one ranking. Orbital ranks entries best first and cannot take both ends at once.",{"total_return":413,"cagr":41,"sharpe":564,"max_dd":666,"win_rate":667,"profit_factor":240,"span":438},-25.38,49.4,{"id":669,"name":670,"family":659,"tags":671,"universe":420,"universe_short":421,"bars_label":33,"collection":13,"rule_short":672,"verdict":386,"prompt":673,"prompt_note":674,"not_testable_reason":675,"stats":37,"original":676,"forward":37},"W16","Cross Sectional Reversal",[58,630],"Each Friday, buy the three sector ETFs with the worst 1-month return and short the three with the best.","Rotate among the sector ETFs XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV and XLY on daily bars. Every Friday, sell every holding, and on the next trading day buy the three ETFs with the lowest 21-day return, 16.7% of equity each. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.","Closest Orbital version: a run can take only one end of its ranking, so it keeps only the long half, the three weakest sectors of the past month at the original's one-sixth weight each with the rest of the account in cash, and is no longer market neutral. Orbital never sells a holding for a better one, so each week it sells everything after Friday's close and buys the new three a day later, ranked on the next trading day's close rather than Friday's.","It buys the bottom three and shorts the top three of one ranking. Orbital ranks entries best first and cannot take both ends at once.",{"total_return":677,"cagr":678,"sharpe":564,"max_dd":679,"win_rate":680,"profit_factor":240,"span":438},-1.69,-0.07,-33.73,47.5,{"id":682,"name":683,"family":418,"tags":684,"universe":345,"universe_short":346,"bars_label":33,"collection":13,"rule_short":685,"verdict":386,"prompt":686,"prompt_note":687,"not_testable_reason":688,"stats":37,"original":689,"forward":37},"W17","Vol Target Trend",[30,503],"SMA(50/200) trend basket, scaled so the portfolio targets 10% annualized volatility (63-day estimate, up to 1.5x leverage).","Trade SPY, EFA, EEM, TLT, IEF, GLD, DBC and VNQ on daily bars. On the first trading day of each month, sell every holding, and the next day buy every ETF whose 50-day SMA is above its 200-day SMA. Size each purchase by its annualized volatility, the standard deviation of its last 63 daily returns times the square root of 252: 12% of equity for an ETF at 10% volatility, scaled inversely (6% at 20%), between 1% and 18% of equity. Long only, on a margin account so the total can pass 100%; uninvested capital stays in cash. Backtest from November 21, 2016 to October 30, 2026 with $100,000.","Closest Orbital version: each ETF in an uptrend is sized by its own 63-day volatility, 12% of equity at 10% volatility and at most 1.5 times that, instead of scaling the whole portfolio to 10% volatility, because Orbital sizes a position from that symbol's data alone; that ignores how the ETFs offset each other, so it usually holds less than half of what the original holds. Positions keep their entry size, so each month it sells everything and buys back the next day.","It scales the whole portfolio to a volatility target with up to 1.5x leverage. Orbital sizes each position once, at entry, from that symbol's own data.",{"total_return":690,"cagr":691,"sharpe":692,"max_dd":693,"win_rate":694,"profit_factor":695,"span":362},169,5.35,0.36,-28.87,63.8,1.93,{"id":697,"name":698,"family":342,"tags":699,"universe":345,"universe_short":346,"bars_label":33,"collection":13,"rule_short":700,"verdict":386,"prompt":701,"prompt_note":702,"not_testable_reason":703,"stats":37,"original":704,"forward":37},"W18","Vol Target Momentum",[344,503],"Hold up to three ETFs with the best positive 6-month return, scaled to a 15% volatility target (42-day estimate, up to 2x leverage).","Rotate among SPY, EFA, EEM, TLT, IEF, GLD, DBC and VNQ on daily bars. On the first trading day of each month, sell every holding, and the next day buy the three ETFs with the highest 126-day return, skipping any whose 126-day return is negative. Size each purchase by its annualized volatility, the standard deviation of its last 42 daily returns times the square root of 252: 33% of equity for an ETF at 15% volatility, scaled inversely (16.5% at 30%), between 1% and 66% of equity. Long only, on a margin account so the total can pass 100%; uninvested capital stays in cash. Backtest the last 10 years with $100,000.","Closest Orbital version: each of the three picks is sized by its own 42-day volatility, 33% of equity at 15% volatility and at most twice that, instead of scaling the whole basket to 15% volatility, because Orbital sizes a position from that symbol's data alone; that ignores how the picks offset each other, so it holds somewhat less than the original. Orbital never sells a holding for a better one, so each monthly switch sells everything and buys the new picks a day later.","It scales the whole portfolio to a volatility target with up to 2x leverage. Orbital sizes each position once, at entry, from that symbol's own data.",{"total_return":705,"cagr":706,"sharpe":707,"max_dd":708,"win_rate":709,"profit_factor":710,"span":362},621.23,10.96,0.57,-41.18,64.6,2.05,{"id":712,"name":713,"family":501,"tags":714,"universe":345,"universe_short":346,"bars_label":33,"collection":13,"rule_short":715,"verdict":386,"prompt":716,"prompt_note":717,"not_testable_reason":718,"stats":37,"original":719,"forward":37},"W19","Risk Parity Multi Asset",[503],"Hold all eight ETFs with weights set so each contributes equal risk, from a 63-day covariance estimate.","Trade SPY, EFA, EEM, TLT, IEF, GLD, DBC and VNQ on daily bars. On the first trading day of each month, sell every holding, and the next day buy all eight ETFs. Size each purchase by its annualized volatility, the standard deviation of its last 63 daily returns times the square root of 252: 15% of equity for an ETF at 10% volatility, scaled inversely (7.5% at 20%, 30% at 5%), between 1% and 50% of equity. Long only, on a margin account so the total can pass 100%; uninvested capital stays in cash. Backtest the last 10 years with $100,000.","Closest Orbital version: each ETF is weighted by the inverse of its own 63-day volatility, not by equal risk contribution, which needs all eight ETFs' covariance in one decision, so on Orbital it is W05's rule at one and a half times the size, capped at 50% instead of 35%. The weights are not scaled to add up to 100%, so the account is about fully invested in an ordinary market, above 100% on margin in a calm one and below it in a rough one, and since positions keep their entry size, each month it sells everything and buys back the next day.","Equal risk contribution needs the covariance of all eight ETFs at once. Orbital sizes each position from that symbol's own data.",{"total_return":720,"cagr":721,"sharpe":722,"max_dd":723,"win_rate":724,"profit_factor":413,"span":362},84.5,3.28,0.16,-35.62,60.9,{"id":726,"name":727,"family":501,"tags":728,"universe":420,"universe_short":421,"bars_label":33,"collection":13,"rule_short":729,"verdict":386,"prompt":730,"prompt_note":731,"not_testable_reason":732,"stats":37,"original":733,"forward":37},"W20","Risk Parity Capped",[503],"Equal-risk-contribution weights across the sector ETFs from a 126-day covariance, capped at 25% each.","Trade the sector ETFs XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV and XLY on daily bars. On the first trading day of each month, sell every holding, and the next day buy all nine ETFs. Size each purchase by its annualized volatility, the standard deviation of its last 126 daily returns times the square root of 252: 18% of equity for an ETF at 10% volatility, scaled inversely (9% at 20%), between 1% and 25% of equity. Long only, on a margin account so the total can pass 100%; uninvested capital stays in cash. Backtest the last 10 years with $100,000.","Closest Orbital version: each sector is weighted by the inverse of its own 126-day volatility, capped at 25%, not by equal risk contribution, which needs all nine sectors' covariance in one decision; the weights are not scaled to add up to 100%, so the account is about fully invested in an ordinary market, above 100% on margin in a calm one and below it in a rough one. Positions keep their entry size, so each month it sells everything and buys back the next day.","Equal risk contribution needs the covariance of all nine ETFs at once. Orbital sizes each position from that symbol's own data.",{"total_return":734,"cagr":735,"sharpe":434,"max_dd":736,"win_rate":737,"profit_factor":738,"span":438},677.16,8.21,-47.94,82,11.14,{"id":740,"name":741,"family":742,"tags":743,"universe":420,"universe_short":421,"bars_label":33,"collection":13,"rule_short":744,"verdict":35,"prompt":745,"prompt_note":37,"not_testable_reason":37,"stats":746,"original":753,"forward":37},"W21","Bollinger Reversion","Bollinger reversion",[58],"Buy a sector ETF when it closes below its lower Bollinger Band (20-day SMA minus 2 standard deviations); sell when it closes back above the 20-day SMA.","Trade the sector ETFs XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV and XLY on daily bars. Buy an ETF with 25% of equity when it closes below its lower Bollinger Band (20-day SMA minus 2 standard deviations), furthest below first, and sell it when it closes above the 20-day SMA. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.",{"total_return":747,"cagr":748,"sharpe":749,"max_dd":750,"win_rate":751,"profit_factor":752},109.89,7.7,0.29,-39.87,74.5,2.11,{"total_return":754,"cagr":755,"sharpe":756,"max_dd":757,"win_rate":758,"profit_factor":759,"span":438},486.52,7.04,0.42,-35.24,59.8,1.96,{"id":761,"name":762,"family":763,"tags":764,"universe":420,"universe_short":421,"bars_label":33,"collection":13,"rule_short":765,"verdict":35,"prompt":766,"prompt_note":37,"not_testable_reason":37,"stats":767,"original":773,"forward":37},"W22","MACD Trend","MACD trend",[30],"Hold each sector ETF while its MACD (12, 26) is above its 9-day signal line.","Trade the sector ETFs XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV and XLY on daily bars. Hold an ETF with 11% of equity while its MACD line (12-day EMA minus 26-day EMA) is above its 9-day signal line. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.",{"total_return":768,"cagr":769,"sharpe":756,"max_dd":770,"win_rate":771,"profit_factor":772},111.56,7.83,-11.32,43.7,1.56,{"total_return":774,"cagr":775,"sharpe":373,"max_dd":776,"win_rate":457,"profit_factor":777,"span":438},186.27,4.13,-35.59,1.24,{"id":779,"name":780,"family":380,"tags":781,"universe":383,"universe_short":384,"bars_label":33,"collection":13,"rule_short":782,"verdict":386,"prompt":783,"prompt_note":784,"not_testable_reason":389,"stats":37,"original":785,"forward":37},"W23","FX Time Series Momentum",[344,382],"Trade each pair in the direction of its six-month move, inverse-volatility weighted.","Trade the currency ETFs FXE, FXB and FXA on daily bars. On the first trading day of each month, close every position, and the next day go long each ETF whose 126-day return is positive and short each whose return is negative. Size each position by its annualized volatility, the standard deviation of its last 63 daily returns times the square root of 252: 25% of equity for an ETF at 10% volatility, scaled inversely (12.5% at 20%, 50% at 5%), between 1% and 100% of equity. Use a margin account so it can sell short and hold more than 100% in total. Backtest the last 10 years with $100,000.","Closest Orbital version: the currency ETFs FXE, FXB and FXA stand in for EURUSD, GBPUSD and AUDUSD, and NZDUSD is dropped because no US-listed ETF tracks it. Orbital sizes each position once, at entry, from that ETF's own volatility, so the total floats instead of staying at 100%, and every position is closed each month and reopened a day later at its new size.",{"total_return":786,"cagr":787,"sharpe":788,"max_dd":789,"win_rate":37,"profit_factor":37,"span":395},-27.28,-1.97,-0.59,-29.36,{"id":791,"name":792,"family":380,"tags":793,"universe":383,"universe_short":384,"bars_label":33,"collection":13,"rule_short":794,"verdict":386,"prompt":795,"prompt_note":796,"not_testable_reason":389,"stats":37,"original":797,"forward":37},"W24","FX Cross Sectional Momentum",[344,630,382],"Long the strongest pair and short the weakest by three-month return.","Rotate among the currency ETFs FXE, FXB and FXA on daily bars. On the first trading day of each month, sell the holding, and the next day put 50% of equity into the ETF with the highest 63-day return. Long only; uninvested capital stays in cash. Backtest the last 10 years with $100,000.","Closest Orbital version: the currency ETFs FXE, FXB and FXA stand in for EURUSD, GBPUSD and AUDUSD, and NZDUSD is dropped because no US-listed ETF tracks it. Orbital ranks entries best first and cannot take both ends of one ranking, so only the long half is kept, at its original 50% of equity, and the strategy is no longer market neutral.",{"total_return":798,"cagr":799,"sharpe":800,"max_dd":801,"win_rate":37,"profit_factor":37,"span":395},-34.12,-2.58,-1,-41.35,{"id":803,"name":804,"family":399,"tags":805,"universe":806,"universe_short":401,"bars_label":33,"collection":13,"rule_short":807,"verdict":386,"prompt":808,"prompt_note":809,"not_testable_reason":406,"stats":37,"original":810,"forward":37},"W25","Continuous Futures Trend",[30,401],"MES, MNQ, ZN, CL, GC and ZC continuous futures","Diversified long/short trend across index, rates, energy, metals and grains, inverse-volatility weighted.","Trade SPY, QQQ, IEF, USO, GLD and CORN on daily bars. On the first trading day of each month, close every position, and the next day go long each ETF whose 63-day SMA is above its 252-day SMA and short each whose 63-day SMA is below it. Size each position by its annualized volatility, the standard deviation of its last 63 daily returns times the square root of 252: 25% of equity for an ETF at 10% volatility, scaled inversely (12.5% at 20%, 50% at 5%), between 1% and 100% of equity. Use a margin account so it can sell short and hold more than 100% in total. Backtest from March 1, 2017 to October 30, 2026 with $100,000.","Closest Orbital version: SPY, QQQ, IEF, USO, GLD and CORN stand in for the micro S&P 500, micro Nasdaq-100, 10-year Treasury, crude oil, gold and corn futures, and the 252-day SMA needs a year of history, which Orbital's data first has in January 2017, so the first two months of the ten-year window are in cash. Each position is sized once, at entry, from its own volatility, so everything is closed each month and reopened a day later and the total floats instead of staying at 100%; in the calmest months it can need more than a margin account's 200% of equity, and the order past that limit is refused.",{"total_return":811,"cagr":812,"sharpe":813,"max_dd":814,"win_rate":4,"profit_factor":815,"span":414},46.28,5.88,0.62,-9.69,5.85,{"id":817,"name":818,"family":819,"tags":820,"universe":420,"universe_short":421,"bars_label":33,"collection":13,"rule_short":822,"verdict":386,"prompt":823,"prompt_note":824,"not_testable_reason":825,"stats":37,"original":37,"forward":37},"WF01","Rolling Walk-Forward Validation","Validation workflow",[821],"Walk-forward","Re-checks the SMA(50/200) sector rule (W01) on sliding train/test windows.","Trade the sector ETFs XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV and XLY on daily bars. Buy an ETF with 11% of equity when its 50-day SMA is above its 200-day SMA, and sell it when the 50-day falls below the 200-day. Long only; uninvested capital stays in cash. Then check it with a rolling walk-forward, keeping the rule the same in every window: three training windows of about four years that slide forward two years at a time, each ending three weeks before the two-year test window that follows it. Backtest each window separately with $100,000: training 2016-11-21 to 2020-10-09 and test 2020-11-02 to 2022-10-28; training 2018-10-31 to 2022-10-07 and test 2022-10-31 to 2024-10-30; training 2020-11-02 to 2024-10-09 and test 2024-10-31 to 2026-10-30. That is six backtests. When all six have finished, compare them in one table with annual return, Sharpe and maximum drawdown, and say whether each test window kept up with its training window and whether the test Sharpe fell from one window to the next.","Closest Orbital version: Orbital has no walk-forward tool, so each window is its own backtest, starting from cash, of this library's version of W01 (a fixed 11% of equity per ETF), and four-year training windows with two-year tests make six backtests where the original's 24-month and 6-month windows would need more than 30. The three-week gap is the original's purge of 5 trading days plus 1% of the training window, and nothing is fitted, as in the original's default mode, so each window only asks whether the fixed rule kept working.","A validation workflow around W01's rule rather than a strategy of its own. Orbital covers part of the same ground for every strategy: its Backtesting list discounts the Sharpe for every configuration tried, and each report resamples the trades 1,000 times.",{"id":827,"name":828,"family":819,"tags":829,"universe":420,"universe_short":421,"bars_label":33,"collection":13,"rule_short":830,"verdict":386,"prompt":831,"prompt_note":832,"not_testable_reason":825,"stats":37,"original":37,"forward":37},"WF02","Expanding Walk-Forward Validation",[821],"Re-checks the SMA(50/200) sector rule (W01) with an expanding training window.","Trade the sector ETFs XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV and XLY on daily bars. Buy an ETF with 11% of equity when its 50-day SMA is above its 200-day SMA, and sell it when the 50-day falls below the 200-day. Long only; uninvested capital stays in cash. Then check it with an expanding walk-forward, keeping the rule the same in every window: three training windows of about four, six and eight years, all starting on 2016-11-21, each ending three to five weeks before the two-year test window that follows it. Backtest each window separately with $100,000: training 2016-11-21 to 2020-10-09 and test 2020-11-02 to 2022-10-28; training 2016-11-21 to 2022-09-30 and test 2022-10-31 to 2024-10-30; training 2016-11-21 to 2024-09-25 and test 2024-10-31 to 2026-10-30. That is six backtests. When all six have finished, compare them in one table with annual return, Sharpe and maximum drawdown, and say whether each test window kept up with its training window and whether the test Sharpe fell from one window to the next.","Closest Orbital version: this library's version of W01 (a fixed 11% of equity per ETF) on WF01's three two-year test windows, with training windows that start in November 2016 and grow by two years instead of sliding. Each window is its own backtest from cash, six in all where the original's 24-month and 6-month windows would need more than 30, and the three-to-five-week gaps are the original's purge of 5 trading days plus 1% of the training window, which grows with it.",{"id":834,"name":835,"family":819,"tags":836,"universe":420,"universe_short":421,"bars_label":33,"collection":13,"rule_short":837,"verdict":386,"prompt":838,"prompt_note":839,"not_testable_reason":840,"stats":37,"original":37,"forward":37},"WF03","Anchored Walk-Forward With Pre-OOS Purging",[821],"Re-checks the weekly RSI rule (W03) with purged, anchored windows.","Trade the sector ETFs XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV and XLY on daily bars, deciding on Fridays only. Buy an ETF with 25% of equity when RSI(14) closes below 35, most oversold first, and sell it when RSI(14) closes above 60. Long only; uninvested capital stays in cash. Then check it with an anchored walk-forward, keeping the rule the same in every window: three training windows of about four, six and eight years, all starting on 2016-10-31, each stopping six to ten weeks before the two-year test window that follows it. Backtest each window separately with $100,000: training 2016-10-31 to 2020-09-18 and test 2020-11-02 to 2022-10-28; training 2016-10-31 to 2022-09-01 and test 2022-10-31 to 2024-10-30; training 2016-10-31 to 2024-08-20 and test 2024-10-31 to 2026-10-30. That is six backtests. When all six have finished, compare them in one table with annual return, Sharpe and maximum drawdown, and say whether each test window kept up with its training window and whether the test Sharpe fell from one window to the next.","Closest Orbital version: this library's version of W03's Friday RSI rule (25% of equity per ETF, up to four, most oversold first) on three training windows that start in October 2016 and grow by two years, each followed by a two-year test. Each window is its own backtest from cash, six in all where the original's 24-month and 6-month windows would need more than 30, and the six-to-ten-week gaps are the original's purge of 10 trading days plus 2% of the training window, which grows with it.","A validation workflow around W03's rule rather than a strategy of its own. Orbital covers part of the same ground for every strategy: its Backtesting list discounts the Sharpe for every configuration tried, and each report resamples the trades 1,000 times.",{"id":842,"name":843,"family":819,"tags":844,"universe":420,"universe_short":421,"bars_label":33,"collection":13,"rule_short":845,"verdict":386,"prompt":846,"prompt_note":847,"not_testable_reason":825,"stats":37,"original":37,"forward":37},"WF04","Grid Search Parameter Optimization",[821],"Searches nine SMA fast/slow pairs for the sector rule; best was SMA(20/200).","Trade the sector ETFs XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV and XLY on daily bars. Buy an ETF with 11% of equity when its fast SMA is above its slow SMA, and sell it when the fast SMA falls below the slow SMA. Long only; uninvested capital stays in cash. Build it as one strategy with the two SMA lengths as settings, then backtest every pair of a 20-, 50- or 80-day fast SMA with a 100-, 150- or 200-day slow SMA from November 21, 2016 to October 30, 2026 with $100,000. That is nine backtests. When all nine have finished, rank them by Sharpe in one table with annual return and maximum drawdown, and give the best pair's Sharpe after allowing for every pair tried.","Closest Orbital version: the original's nine SMA pairs, run on this library's version of W01 (a fixed 11% of equity per ETF from November 2016) rather than equal weights rebalanced monthly from 2000 to 2025, so the winner may not be 20/200 again. Keeping all nine in one strategy lets Orbital discount the best Sharpe for every pair tried.",{"id":849,"name":850,"family":819,"tags":851,"universe":420,"universe_short":421,"bars_label":33,"collection":13,"rule_short":852,"verdict":386,"prompt":853,"prompt_note":854,"not_testable_reason":825,"stats":37,"original":37,"forward":37},"WF05","Optuna TPE Optimization + Walk-Forward",[821],"Searches SMA windows with Optuna; best was SMA(23/206).","Trade the sector ETFs XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV and XLY on daily bars. Buy an ETF with 11% of equity when its fast SMA is above its slow SMA, and sell it when the fast SMA falls below the slow SMA. Long only; uninvested capital stays in cash. Build it as one strategy with the two SMA lengths as settings, then test the pair an earlier parameter search chose, a 23-day fast SMA with a 206-day slow SMA, against the pairs around it: backtest every pair of an 18-, 23- or 28-day fast SMA with a 186- or 206-day slow SMA from December 15, 2016 to October 30, 2026 with $100,000. That is six backtests. When all six have finished, rank them by Sharpe in one table with annual return and maximum drawdown, say whether 23/206 does clearly better than the pairs around it or about the same, and give its Sharpe after allowing for every pair tried.","Closest Orbital version: Orbital has no built-in parameter search, so this tests 23/206, the pair the original's 30 Optuna trials picked on its equal-weight version from 2000 to 2025, against the five pairs around it, none slower than 206 days because a slower SMA could not warm up on data that begins in January 2016. Orbital's discount counts only these six pairs, not the 30 trials, and those trials ran on data covering most of this window, so even the discounted Sharpe flatters 23/206; for a walk-forward check of the winner like the original's, run WF01's prompt with 23 and 206 days in place of 50 and 200.",{"id":856,"name":857,"family":858,"tags":859,"universe":861,"universe_short":862,"bars_label":33,"collection":17,"rule_short":863,"verdict":35,"prompt":864,"prompt_note":37,"not_testable_reason":37,"stats":865,"original":37,"forward":37},"R01","52-Week-High Momentum","52-week-high momentum",[344,860],"Single stocks","US common stocks via the Market Screener: the 30 nearest their 52-week high","30 stocks near highs","Buys the liquid US stocks closest to their 52-week high, two a day up to 30, and holds each for six months.","On daily bars, use a Market Screener universe of US stocks with the type set to Common stock only, priced at $5 or more, with 20-day average volume of at least 500,000 shares and Volatility 1M (average daily range) of at least 0.75%, sorted by % below 52W high (smallest first), top 30. Buy each stock in the screen with 3.2% of equity at the next open, in the screen's sort order, skipping any already held; hold at most 30 positions and open at most 2 new ones a day. Sell each position 126 trading days after entry (a time stop of 126 daily bars), with no other exit, even if it leaves the screen. Long only; uninvested capital stays in cash. Backtest from March 1, 2017 to October 30, 2026 with $100,000.",{"total_return":866,"cagr":867,"sharpe":868,"max_dd":869,"win_rate":870,"profit_factor":871},209.14,12.39,0.43,-35.75,62.2,1.74,{"id":873,"name":874,"family":875,"tags":876,"universe":877,"universe_short":878,"bars_label":33,"collection":17,"rule_short":879,"verdict":308,"prompt":880,"prompt_note":37,"not_testable_reason":37,"stats":881,"original":37,"forward":37},"R02","Six-Month Stock Momentum","Stock momentum",[344,860],"US common stocks via the Market Screener: the 30 with the highest six-month return","30 six-month winners","Buys the liquid US stocks with the biggest six-month gains, two a day up to 30, and holds each for six months.","On daily bars, use a Market Screener universe of US stocks with the type set to Common stock only, priced at $5 or more, with 20-day average volume of at least 500,000 shares and Volatility 1M (average daily range) of at least 0.75%, sorted by Perf 6M (highest first), top 30. Buy each stock in the screen with 3.2% of equity at the next open, in the screen's sort order, skipping any already held; hold at most 30 positions and open at most 2 new ones a day. Sell each position 126 trading days after entry (a time stop of 126 daily bars), with no other exit, even if it leaves the screen. Long only; uninvested capital stays in cash. Backtest from March 1, 2017 to October 30, 2026 with $100,000.",{"total_return":882,"cagr":883,"sharpe":884,"max_dd":885,"win_rate":886,"profit_factor":887},-56.6,-8.27,-0.02,-84.49,39.6,0.92,{"id":889,"name":890,"family":891,"tags":892,"universe":893,"universe_short":894,"bars_label":33,"collection":17,"rule_short":895,"verdict":896,"prompt":897,"prompt_note":37,"not_testable_reason":37,"stats":898,"original":37,"forward":37},"R03","One-Week Reversal in Large Stocks","Short-term reversal",[58,860],"Heavily traded US common stocks via the Market Screener: the 20 worst over the past week","20 weekly losers","Buys up to 20 of the past week's biggest losers among heavily traded US stocks and sells each within five trading days.","riskier","On daily bars, use a Market Screener universe of US stocks with the type set to Common stock only, priced at $20 or more, with 20-day average volume of at least 2,000,000 shares and that day's dollar volume of at least $200 million, sorted by Perf 1W (lowest first), top 20. Buy each stock in the screen with 4.8% of equity at the next open. Sell it at the next open after any close at which its 5-day return (Return over 5 bars) is above 0%, or 5 trading days after entry, whichever comes first. Hold at most 20 positions, filling free slots in screen order. Long only; uninvested capital stays in cash. Backtest from March 1, 2017 to October 30, 2026 with $100,000.",{"total_return":899,"cagr":900,"sharpe":901,"max_dd":902,"win_rate":903,"profit_factor":904},422.2,18.65,0.54,-61.55,54.9,1.16,{"id":906,"name":907,"family":908,"tags":909,"universe":910,"universe_short":911,"bars_label":33,"collection":17,"rule_short":912,"verdict":35,"prompt":913,"prompt_note":37,"not_testable_reason":37,"stats":914,"original":37,"forward":37},"R04","Low-Volatility Stocks","Low volatility",[908,860],"US common stocks via the Market Screener: the 30 with the lowest one-month average daily range of at least 0.8%","30 calm stocks","Buys the 30 liquid US stocks with the smallest past-month daily price ranges of at least 0.8%, and holds each a month.","On daily bars, use a Market Screener universe of US stocks with the type set to Common stock only, priced at $10 or more, with 20-day average volume of at least 1,000,000 shares and Volatility 1M (average daily range) of at least 0.8%, sorted by Volatility 1M (lowest first), top 30. Buy each stock in the screen with 3.2% of equity at the next open and sell it 21 trading days after entry. Hold at most 30 positions, filling free slots in screen order. Long only; uninvested capital stays in cash. Backtest from March 1, 2017 to October 30, 2026 with $100,000.",{"total_return":915,"cagr":916,"sharpe":692,"max_dd":917,"win_rate":918,"profit_factor":273},107.64,7.85,-31.17,58.9,{"id":920,"name":921,"family":922,"tags":923,"universe":925,"universe_short":926,"bars_label":33,"collection":17,"rule_short":927,"verdict":35,"prompt":928,"prompt_note":37,"not_testable_reason":37,"stats":929,"original":37,"forward":37},"R05","High-Volume Return Premium","High-volume return premium",[924,860],"Volume","US common stocks via the Market Screener: the 30 with the highest volume against their 20-day average","30 volume spikes","Buys the 30 stocks with the biggest volume spikes, at least twice usual, and no big price move, for 20 trading days.","On daily bars, use a Market Screener universe of US stocks with the type set to Common stock only, priced at $5 or more, with 20-day average volume of at least 500,000 shares, Rel volume (the day's volume over its 20-day average) of at least 2, Change % of at least -5% and at most +5%, and Volatility 1M (average daily range) of at least 0.75%, sorted by Rel volume (highest first), top 30. Buy each stock in the screen with 3.2% of equity at the next open, skipping any already held. Sell each position at the open 20 trading days after entry (a time stop of 20 daily bars), with no other exit, even if it leaves the screen. Hold at most 30 positions, with no daily limit on new ones: fill free slots in screen order, skip the rest, and never sell a holding early to make room. Long only; uninvested capital stays in cash. Backtest from March 1, 2017 to October 30, 2026 with $100,000.",{"total_return":930,"cagr":90,"sharpe":931,"max_dd":932,"win_rate":933,"profit_factor":934},1.37,-0.06,-47.06,52,0.99,{"id":936,"name":937,"family":938,"tags":939,"universe":941,"universe_short":941,"bars_label":33,"collection":17,"rule_short":942,"verdict":35,"prompt":943,"prompt_note":37,"not_testable_reason":37,"stats":944,"original":37,"forward":37},"R06","Turn of the Month","Turn of the month",[940],"Calendar","SPY","Holds SPY over each month's last four and first three trading days, and cash otherwise.","Build a program on daily bars for SPY. A program sees only its own prices and the session date, with no holiday calendar, so give it NYSE's full-day closures (holidays and one-off closures such as days of mourning) for every year of the backtest, and count only days the market is open; half-day sessions count. At the close of each month's fifth-to-last trading day (four trading days left), buy SPY with 97% of equity at the next open. At the close of the third trading day of the next month, sell it at the next open; if that day has no bar, decide at the close of the next day that has one and sell at the following open. Buy only on a fifth-to-last trading day, so a backtest that starts inside a window stays in cash until the next one. Stay in cash otherwise. Backtest the last 10 years with $100,000.",{"total_return":945,"cagr":946,"sharpe":947,"max_dd":948,"win_rate":172,"profit_factor":361},57.29,4.64,0.08,-16.25,{"id":950,"name":951,"family":952,"tags":953,"universe":954,"universe_short":955,"bars_label":33,"collection":17,"rule_short":956,"verdict":35,"prompt":957,"prompt_note":37,"not_testable_reason":37,"stats":958,"original":37,"forward":37},"R07","Halloween Effect","Halloween effect",[940],"SPY and BIL","SPY · BIL","Holds SPY from November through April and a T-bill ETF (BIL) from May through October.","Build one program on daily bars that trades SPY and BIL; each buy uses 97% of equity, and every order fills at the next open. A program sees only each fund's own prices and the session date, with no ticker and no holiday calendar. So, on its first day, have it treat a fund as BIL if the average of (high - low) / close over that fund's last 20 daily bars, that day's included, is under 0.1%, and as SPY otherwise, and keep that for the whole backtest. Give it NYSE's full-day closures (holidays and one-off closures such as days of mourning) for every year of the backtest, so it can find the last trading day of April and of October. At the close of the last trading day of October, sell BIL and buy SPY; at the close of the last trading day of April, sell SPY and buy BIL. At the close of the backtest's first day, buy the fund for the half of the year the next trading day falls in: SPY for November to April, BIL for May to October. Never buy a fund that is already held or on order. Backtest the last 10 years with $100,000.",{"total_return":959,"cagr":433,"sharpe":960,"max_dd":961,"win_rate":962,"profit_factor":963},103.73,0.28,-32.57,73.7,3.79,{"id":965,"name":966,"family":967,"tags":968,"universe":941,"universe_short":941,"bars_label":552,"collection":17,"rule_short":969,"verdict":308,"prompt":970,"prompt_note":37,"not_testable_reason":37,"stats":971,"original":37,"forward":37},"R08","First Half-Hour Momentum","Market intraday momentum",[344,305],"Buys SPY for the last half-hour if it is above the prior close at 10:00, and sells it short if not.","Build a program on 1-minute bars for SPY, using the session clock. Keep the prior session's split-adjusted close: the open of its 16:00 closing-print minute, or on early-close days the close of its 13:00 minute, or its last close if that minute has no bar. When the 09:59 bar closes, record its close as the 10:00 price. When the 15:29 bar closes, if the 10:00 price is above the prior close, buy SPY with 97% of equity; otherwise sell SPY short with 97% of equity. Either order fills at the 15:30 open. Close the position when the 15:59 bar closes, so it fills at the open of the 16:00 closing-print minute. Take no trade on the backtest's first session, which has no prior close, or on early-close days. Use a margin account so it can sell short. Backtest the last 3 years with $100,000.",{"total_return":972,"cagr":973,"sharpe":974,"max_dd":975,"win_rate":976,"profit_factor":240},-51.52,-21.44,-8.63,-51.58,25.6,{"id":978,"name":979,"family":980,"tags":981,"universe":941,"universe_short":941,"bars_label":552,"collection":17,"rule_short":982,"verdict":308,"prompt":983,"prompt_note":37,"not_testable_reason":37,"stats":984,"original":37,"forward":37},"R09","Noise-Area Momentum","Noise-band intraday momentum",[344,118,305],"Buys SPY, or sells it short, when it breaks out of its usual range at a half-hour check, and is flat by the close.","Build a program on 1-minute bars for SPY, using the session clock. Each session, keep the 09:30 bar's open, the prior session's close (the open of its 16:00 closing-print minute, or on early-close days the close of its 13:00 minute) and a VWAP from 09:30: the running sum of (high + low + close) / 3 times volume, divided by the running sum of volume, updated with each bar as it closes, before deciding on that bar. Trade only on the bars that close on each half-hour from 10:00 to 15:30 (to 12:30 on early-close days), apart from the reversal entries and the end-of-day exit below. At each such bar, sigma is the average of the last 14 moves stored for that half-hour, a move being the absolute change from that session's 09:30 open to the close of its half-hour bar, as a fraction (|close / open - 1|); the upper band is (1 + sigma) times the higher of today's open and the prior close, and the lower band is (1 - sigma) times the lower of the two. If flat, buy SPY with 97% of equity when the close is above the upper band, or sell it short with 97% of equity when the close is below the lower band. If long, sell the position when the close is below the higher of the upper band and VWAP, and if that close is also below the lower band, sell SPY short with 97% of equity when the next bar closes. If short, buy to cover when the close is above the lower of the lower band and VWAP, and if that close is also above the upper band, buy SPY with 97% of equity when the next bar closes. Then store today's move for that half-hour. Until 14 moves are stored for a half-hour, only store the move there. Close any position when the bar before the closing-print minute closes (15:59, or 12:59 on early-close days). Use a margin account so it can sell short. Backtest the last 3 years with $100,000.",{"total_return":985,"cagr":986,"sharpe":987,"max_dd":988,"win_rate":989,"profit_factor":990},-46.27,-18.7,-4.38,-46.72,24.2,1.09,{"id":992,"name":993,"family":994,"tags":995,"universe":996,"universe_short":996,"bars_label":552,"collection":17,"rule_short":997,"verdict":308,"prompt":998,"prompt_note":37,"not_testable_reason":37,"stats":999,"original":37,"forward":37},"R10","Opening Range Breakout","Opening range breakout",[118,305],"QQQ","Buys QQQ if its first five minutes rose and sells it short if they fell, with a stop at the far side of that range.","Build a program on 1-minute bars for QQQ, using the session clock. Treat the 09:30 to 09:34 bars as one opening candle, from the 09:30 open to the 09:34 close, with their highest high and lowest low. When the 09:34 bar closes, buy QQQ if the candle closed above its open, sell it short if it closed below, and skip the day if they are equal. Put the stop at the candle's low for a long or its high for a short, let R be the distance from the 09:34 close to that stop, and set the profit target 10R from the 09:34 close in the trade's favor. Let the program size each trade, between 1% and 97% of equity, so that losing R a share would cost 1% of equity. Close any open position when the bar before the closing-print minute closes (15:59, or 12:59 on early-close days), and take at most one trade a session. Use a margin account so it can sell short. Backtest the last 3 years with $100,000.",{"total_return":1000,"cagr":1001,"sharpe":1002,"max_dd":1003,"win_rate":1004,"profit_factor":279},-47.39,-19.27,-3.24,-47.72,23,{"id":1006,"name":1007,"family":1008,"tags":1009,"universe":996,"universe_short":996,"bars_label":552,"collection":17,"rule_short":1010,"verdict":308,"prompt":1011,"prompt_note":37,"not_testable_reason":37,"stats":1012,"original":37,"forward":37},"R11","VWAP Trend","VWAP trend",[30,305],"Owns QQQ while it trades above the day's volume-weighted average price, sells it short below, and is flat by the close.","Build a program on 1-minute bars for QQQ, using the session clock. Each session, keep a VWAP from 09:30: the running sum of (high + low + close) / 3 times volume, divided by the running sum of volume, updated with each bar as it closes, before deciding on that bar. If flat, buy QQQ with 97% of equity when a bar closes above VWAP, or sell it short with 97% of equity when a bar closes below. If long and a bar closes below VWAP, sell the position; if short and a bar closes above VWAP, buy to cover. The flat rule applies again from the next bar, so a close still across VWAP takes the other side one minute after the exit. Make no new entries after the 15:58 bar (12:58 on early-close days), and close any position when the bar before the closing-print minute closes (15:59, or 12:59 on early-close days). Use a margin account so it can sell short. Backtest the last 3 years with $100,000.",{"total_return":1013,"cagr":1014,"sharpe":1015,"max_dd":1013,"win_rate":1016,"profit_factor":1017},-99.43,-82.11,-9.04,10.7,1.01,{"id":1019,"name":1020,"family":1021,"tags":1022,"universe":941,"universe_short":941,"bars_label":552,"collection":17,"rule_short":1023,"verdict":308,"prompt":1024,"prompt_note":37,"not_testable_reason":37,"stats":1025,"original":37,"forward":37},"R12","Big-Move Late-Day Momentum","Leveraged-ETF rebalancing",[344,305],"Buys SPY at 14:45 when it is 2% or more above its prior close, sells it short when 2% or more below, and exits at the close.","Build a program on 1-minute bars for SPY, using the session clock. Keep the prior session's split-adjusted close: the open of its 16:00 closing-print minute, or on early-close days the close of its 13:00 minute, or its last close if that minute has no bar. When the 14:44 bar closes, if that bar's close is 2% or more above the prior close, buy SPY with 97% of equity; if it is 2% or more below, sell SPY short with 97% of equity; otherwise do nothing that day. Either order fills at the 14:45 open. Close the position when the 15:59 bar closes, so it fills at the open of the 16:00 closing-print minute. Take no trade on the backtest's first session, which has no prior close, or on early-close days. Use a margin account so it can sell short. Backtest the last 3 years with $100,000.",{"total_return":1026,"cagr":653,"sharpe":1027,"max_dd":1028,"win_rate":1029,"profit_factor":1030},-0.9,-2.76,-3.56,47.8,1.33,{"id":1032,"name":1033,"family":1034,"tags":1035,"universe":941,"universe_short":941,"bars_label":552,"collection":17,"rule_short":1036,"verdict":308,"prompt":1037,"prompt_note":37,"not_testable_reason":37,"stats":1038,"original":37,"forward":37},"R13","Pre-FOMC Drift","Pre-FOMC drift",[940],"Holds SPY from 14:00 the day before each scheduled Fed announcement until 13:45 on the day.","Build a program on 1-minute bars for SPY, using the session clock. On each of these days before a scheduled FOMC announcement, if flat, buy SPY with 97% of equity when the 13:59 bar closes, so it fills at the 14:00 open: 2023-10-31, 2023-12-12, 2024-01-30, 2024-03-19, 2024-04-30, 2024-06-11, 2024-07-30, 2024-09-17, 2024-11-06, 2024-12-17, 2025-01-28, 2025-03-18, 2025-05-06, 2025-06-17, 2025-07-29, 2025-09-16, 2025-10-28, 2025-12-09, 2026-01-27, 2026-03-17, 2026-04-28, 2026-06-16, 2026-07-28, 2026-09-15 and 2026-10-27. On the next session, the announcement day, sell the whole position when the 13:44 bar closes, so it fills at the 13:45 open. None of these days or the announcement days after them closes early. Long only; uninvested capital stays in cash. Backtest from October 30, 2023 to October 30, 2026 with $100,000.",{"total_return":1039,"cagr":1040,"sharpe":1041,"max_dd":1042,"win_rate":933,"profit_factor":413},-0.87,-0.29,-2.94,-3.89,{"id":1044,"name":1045,"family":1046,"tags":1047,"universe":941,"universe_short":941,"bars_label":552,"collection":17,"rule_short":1049,"verdict":308,"prompt":1050,"prompt_note":37,"not_testable_reason":37,"stats":1051,"original":37,"forward":37},"R14","Overnight Hold","Overnight drift",[1048,940],"Overnight","Holds SPY from each close to the next open, and cash during the day.","Build a program on 1-minute bars for SPY, using the session clock, so early closes are handled. Every session, if flat, buy SPY with 97% of equity when the bar before the closing-print minute closes (15:59, or 12:59 on early-close days); it fills at the open of the closing-print minute (16:00, or 13:00 on early-close days). When that closing-print bar closes, sell the whole position; the sale fills at the next session's 09:30 open. Long only; uninvested capital stays in cash. Backtest the last 3 years with $100,000.",{"total_return":1052,"cagr":1053,"sharpe":1054,"max_dd":1055,"win_rate":1056,"profit_factor":413},-24.65,-9,-1.44,-26.91,48.7,{"id":1058,"name":1059,"family":1060,"tags":1061,"universe":941,"universe_short":941,"bars_label":552,"collection":17,"rule_short":1062,"verdict":308,"prompt":1063,"prompt_note":37,"not_testable_reason":37,"stats":1064,"original":37,"forward":37},"R15","Opening-Gap Fill","Opening-gap fill",[58,305],"Buys SPY when it opens below the prior close and sells it short when it opens above, aiming for that close before the day ends.","Build a program on 1-minute bars for SPY, using the session clock. Keep the prior session's close, taken as the open of its 16:00 closing-print minute, or on early-close days the close of its 13:00 minute, or the close of its last bar if that minute did not print. When the session's first bar, the 09:30 bar, closes: if it opened below the prior close and also closed below it, buy SPY with 97% of equity; if it opened above the prior close and also closed above it, sell SPY short with 97% of equity; otherwise take no trade that session. Set a profit target at the prior close and no stop. If the target is not reached, close the position when the bar before the closing-print minute closes (15:59, or 12:59 on early-close days). Use a margin account so it can sell short. Backtest the last 3 years with $100,000.",{"total_return":1065,"cagr":1066,"sharpe":1067,"max_dd":1068,"win_rate":1069,"profit_factor":279},-33.77,-12.83,-2.18,-34.42,57.3,{"id":1071,"name":1072,"family":1073,"tags":1074,"universe":1075,"universe_short":1076,"bars_label":552,"collection":17,"rule_short":1077,"verdict":308,"prompt":1078,"prompt_note":37,"not_testable_reason":37,"stats":1079,"original":37,"forward":37},"R16","Buy on Gap","Opening-gap reversal, stocks",[58,860,305],"Nasdaq-100 stocks (the app's NASDAQ 100 universe preset, 100 tickers)","Nasdaq 100","Buys Nasdaq-100 stocks opening well below the prior day's low while above their 20-day average, and sells just before the close.","Use the NASDAQ 100 universe preset and build a program on 1-minute bars, using the session clock. For each stock, keep its daily closes (the open of each session's 16:00 closing-print minute, or on early-close days the close of its 13:00 minute; if that minute has no bar, the session's last close), its last 90 daily close-to-close returns and each session's low over the bars before its closing-print minute, adjusting stored prices for splits. When a stock's first bar of the session closes, if it comes before the 15:58 bar (12:58 on early-close days), compute today's open (that bar's open) divided by the previous session's low, minus 1. If that is below minus the sample standard deviation of the last 90 daily returns, and today's open is above the average of the last 20 daily closes, buy the stock with 10% of equity. Sell every position when the 15:58 bar closes (12:58 on early-close days), so the sale fills at the 15:59 open: a single stock does not print a 16:00 minute on every session. Start once 90 returns are stored. Long only; uninvested capital stays in cash. Backtest the last 3 years with $100,000.",{"total_return":1080,"cagr":209,"sharpe":1081,"max_dd":1082,"win_rate":1083,"profit_factor":240},-0.98,-1.96,-4.51,50.9,{"id":1085,"name":1086,"family":1087,"tags":1088,"universe":1075,"universe_short":1076,"bars_label":552,"collection":17,"rule_short":1089,"verdict":308,"prompt":1090,"prompt_note":37,"not_testable_reason":37,"stats":1091,"original":37,"forward":37},"R17","Extreme-Drop Rebound","Extreme-move reversal, stocks",[58,860,305],"Buys Nasdaq-100 stocks after an extreme drop within an hour, and sells an hour later.","Use the NASDAQ 100 universe preset and build a program on 1-minute bars, using the session clock. For each stock and each minute of the session, keep that minute's last 60 values, from earlier sessions, of the absolute percentage change from the close in force 60 minutes earlier to that minute's close (or from the 09:30 bar's close, if that is later); a session with no bar at that minute, such as an early-close day after 13:00, adds no value. From the bar that closes at 09:36 through the bar that closes at 14:59 (11:59 on early-close days), if that minute has 60 values, the bar's close is above $10, and that close is more than 4%, and more than 8 times the average of those 60 values, below the highest close in force over the previous 60 minutes of the same session, buy the stock with 10% of equity. Act only on each stock's first such drop of the day. Sell 60 minutes after the entry fills, or when the 15:58 bar closes (12:58 on early-close days), whichever comes first, so every sale fills by the 15:59 open: a single stock does not print a 16:00 minute on every session. Long only; uninvested capital stays in cash. Backtest the last 3 years with $100,000.",{"total_return":1092,"cagr":1093,"sharpe":1094,"max_dd":1095,"win_rate":1096,"profit_factor":1097},-7.69,-2.63,-2.82,-8.96,43.9,0.81,{"id":1099,"name":1100,"family":1101,"tags":1102,"universe":1104,"universe_short":1105,"bars_label":552,"collection":21,"rule_short":1106,"verdict":1107,"prompt":1108,"prompt_note":1109,"not_testable_reason":37,"stats":1110,"original":37,"forward":1116},"N01","Regime-gated overnight long, AI infra 8","Overnight long",[1048,58,1103],"Regime filter","Eight AI-infrastructure stocks: APLD, NBIS, OKLO, WULF, GLXY, CIFR, IREN and CORZ","AI infra 8","At 15:46 ET, buy any of eight AI-infrastructure stocks above today's open but down over the prior five sessions, and sell at 09:35 the next session.","beat","Trade APLD, NBIS, OKLO, WULF, GLXY, CIFR, IREN and CORZ on 1-minute bars during regular hours. Build it as a program that uses only 1-minute data, decides on every bar and has no warm-up. Each session's open is the open of the stock's first 1-minute bar that session, and its close is the close of its last one, whatever minute that is. On each stock's 15:45 bar (12:45 on a half day), buy with 12.5% of equity if it holds no shares and has no order pending, the bar closes above that session's open, and the previous session's close is below the close six sessions before today. Check only that bar: a stock with no 15:45 bar is not bought that day. Buy a stock only after six sessions of its own inside the test. Sell on the first bar at or after 09:34 in any later session. Orders fill at the next bar's open. Open no new positions from March 7 to May 12, 2025 or from March 23 to April 8, 2026, both ends included, but keep selling inside them. These ranges are the sessions right after a QQQ close below its 200-day moving average; write them in as fixed dates, since a program reads only its own symbol. Long only, on a margin account so all eight buys can fill on the same day. Backtest from January 2, 2024 to October 27, 2026 with $100,000.","N01's own run used 0.03% slippage a side. A backtest from Chat assumes Orbital's default of 0.05%, so it comes out a little lower.",{"total_return":1111,"cagr":1112,"sharpe":1113,"max_dd":1114,"win_rate":1115,"profit_factor":169},259.81,57.54,2.45,13.76,59,"Forward testing since October 29, 2026, with no live market gate: version 6's date ranges end in April 2026. Backtest numbers are from version 6, one of seven versions tried, in the strategy's 11th run.",{"id":1118,"name":1119,"family":1120,"tags":1121,"universe":1122,"universe_short":1123,"bars_label":33,"collection":21,"rule_short":1124,"verdict":1107,"prompt":1125,"prompt_note":1126,"not_testable_reason":37,"stats":1127,"original":37,"forward":37},"N02","Trend-filtered momentum with failed-bounce shorts, AI growth 21","Trend momentum",[344,30,860],"Twenty-one AI growth stocks: NVDA, GOOGL, MSFT, META, AVGO, MU, AMD, PLTR, LRCX, ORCL, ANET, MRVL, NET, SNOW, DDOG, VRT, ALAB, CRWV, CRDO, RBRK and TEM","AI growth 21","Hold up to five of 21 AI growth stocks, buying at the next open after a close above the stock's 63-day average and above its close 126 sessions (about six months) earlier, biggest 126-session gainers first, and selling at the next open after a close at or below that average or below that earlier close.","Trade NVDA, GOOGL, MSFT, META, AVGO, MU, AMD, PLTR, LRCX, ORCL, ANET, MRVL, NET, SNOW, DDOG, VRT, ALAB, CRWV, CRDO, RBRK and TEM on daily bars. Build it as a program that uses only daily data, decides at each close and declares a 280-bar warm-up, so a stock is checked only once it has 280 earlier bars of its own; orders fill at the next session's open. Averages are simple means of the last 63 or 20 closes, today's included, and ATR is the simple mean of the last 20 true ranges, today's included. Holding a long, sell when the close is at or below the 63-day average or below the close 126 bars earlier, or, on the last Friday of a month (a Friday in the month's last seven days), more than 15% below the highest close of the last 250 bars. Holding a short, buy it back when the close is at or above the 63-day average or once it has been held three bars. Open nothing on the last Friday of a month. Otherwise, holding nothing, buy with 19% of equity when the close is above the 63-day average and above the close 126 bars earlier, scored by its 126-bar return. If it does not buy, sell short with 19% of equity when yesterday's close was at or above the 20-day average ending yesterday, today's close is below the 20-day average ending today and below yesterday's close, today's close is at least one ATR above the lowest close of the previous 20 bars, the close is below the closes 21 and 63 bars earlier and below the 63-day average, the 20-day average is below its value five bars earlier, and today's volume is at least 1.5 times the average of the previous 20 bars. Score a short by the absolute value of its 126-bar return and give it a fixed stop f × 2 ATR above the close, a fixed target f × 3 ATR below it, where f is that volume multiple divided by 1.5, kept between 1 and 1.5, and a three-bar time stop. Rank each day's entries by score, open at most five a day and hold at most five at once. Use a margin account so it can sell short. Backtest from October 6, 2023 to October 6, 2026 with $25,000.","N02's own run sized each entry at its fill price and cut entries back so that, as each one filled, no holding was above 50% of equity and all of them came to at most 100%; 41 entries were cut back. A backtest started from Chat cannot set either, so it sizes at the previous close with no limits and can come out differently. To match the run, start it from the Run dialog in Backtesting with a margin account, Size at the fill on and Limit entry allocations at 50% per stock and 100% total gross, using the prompt's dates, $25,000 and ranking.",{"total_return":1128,"cagr":1129,"sharpe":63,"max_dd":1130,"win_rate":578,"profit_factor":1131},616.7,92.77,28.89,3.13,{"id":1133,"name":1134,"family":30,"tags":1135,"universe":1122,"universe_short":1123,"bars_label":306,"collection":21,"rule_short":1136,"verdict":1107,"prompt":1137,"prompt_note":37,"not_testable_reason":37,"stats":1138,"original":37,"forward":37},"N03","Twice-daily trend long with volatility exits, AI growth 21",[30,344,860],"At 10:00 and 15:50 ET each session, buy any of 21 AI growth stocks that is above its 20-day average (at 10:00, only if the previous session's close was above it too) and sell any held one that has fallen below it; each buy also gets a target and a stop scaled to the stock's recent volatility, and a time limit of 10 to 40 sessions.","Trade NVDA, GOOGL, MSFT, META, AVGO, MU, AMD, PLTR, LRCX, ORCL, ANET, MRVL, NET, SNOW, DDOG, VRT, ALAB, CRWV, CRDO, RBRK and TEM during regular hours. Build it as a program that decides on 5-minute bars, fills on 1-minute bars and has a warm-up of 1,600 five-minute bars. The 5-minute bars start at 09:30 and each session ends with a one-minute bar at 16:00, so a full session has 79. Number each bar n by its start time, minutes after 09:30 divided by 5, so the 09:55 bar is 5 and the 15:45 bar is 75. Take the previous session's close as the close n + 1 bars back, and each earlier session's close by stepping back 79 more bars at a time, even across a half day or a missing bar. The 20-day average is the current bar's close plus the previous 19 session closes, divided by 20. Act only on the 09:55 bar and the 15:45 bar (12:45 on a half day). On both, sell a stock it holds if the bar closes below the 20-day average. On the 09:55 bar, buy a stock it does not hold if the bar's close and the previous session's close are both above the average; on the 15:45 bar, buy if the bar's close is above it. Score each buy from 0 to 1: half is ((close ÷ the highest of the close and the previous 19 session closes) − 0.9) ÷ 0.1, kept between 0 and 1, and half is the fraction of the previous 10 sessions whose close was above the average of that close and the 9 session closes before it. Spend 5% + 20% × score of equity on each buy. At each buy, let σ be the population standard deviation of the 19 daily log returns running from the close 19 sessions ago to the current close; let v be the total volume of the current bar and the n bars before it, divided by the average volume of the same n + 1 bars in each of the previous 14 sessions (stepping back 79 bars per session), minus 1, kept between 0 and 1; and let h be 10 + 30 × score. Set a target at close × (1 + (1 + score + 0.5v) × σ × √h), a stop at close × (1 − (1.5 − 0.5v) × σ × √10) and a time stop of 79 × h five-minute bars, rounded down. Orders fill at the next 1-minute bar's open. Long only, on a cash account with no margin; pass the score with each buy but do not rank by it. Backtest from November 1, 2023 to October 2, 2026 with $100,000.",{"total_return":1139,"cagr":1140,"sharpe":166,"max_dd":1141,"win_rate":1142,"profit_factor":169},645.66,99.05,37.62,31.7,{"id":1144,"name":1145,"family":1146,"tags":1147,"universe":1149,"universe_short":1150,"bars_label":552,"collection":21,"rule_short":1151,"verdict":1107,"prompt":1152,"prompt_note":1153,"not_testable_reason":37,"stats":1154,"original":37,"forward":37},"N04","Morning trend long/short, broad AI 24","Trend long/short",[30,344,1148,860],"Long/short","Twenty-four AI-related stocks, from chips and software to power, data centers and copper: NVDA, AMD, AVGO, MU, ANET, MRVL, LRCX, MSFT, GOOGL, META, ORCL, PLTR, NET, DDOG, VRT, ETN, CEG, VST, DLR, EQIX, FCX, NBIS, CRWV and IREN","Broad AI 24","At 09:35 ET, buy any of 24 AI-related stocks trending up over about a month, or short one breaking down on heavy volume, with half the account each, and hold until the trend fails or a stop is hit; shorts also have a target and a three-session limit.","Trade NVDA, AMD, AVGO, MU, ANET, MRVL, LRCX, MSFT, GOOGL, META, ORCL, PLTR, NET, DDOG, VRT, ETN, CEG, VST, DLR, EQIX, FCX, NBIS, CRWV and IREN, long and short, during regular hours, holding positions overnight with no end-of-day exit. Build it as a program that decides on 5-minute bars counted from 09:30, fills on 1-minute data and declares a warm-up of 1,659 bars; a full session then has 78 five-minute bars and a one-minute 16:00 bar, 79 in all, and a half day ends with a one-minute 13:00 bar. Count back in bars, not days. On each bar, the return is the close divided by the close 1,659 bars back, minus one, and the 20-block average is the mean of this close and the closes 79, 158 and so on up to 1,501 bars back. For an entry, also split the last 1,659 bars into 21 blocks of 79, newest first: a block's range is its highest high minus its lowest low, stretched to include the close of the bar just before it; the average range is the mean range of the newest 20 blocks; the volume ratio is the newest block's volume over the mean volume of the other 20. Check entries only on the 09:30 bar (the one ending at 09:35), once per stock per session, with no position and no order pending, so a stock sold or covered on that bar waits for the next session: buy if the return is above zero and the close is above the 20-block average; short if the return is below zero, the close is below that average and below every close 79, 158 and so on up to 1,580 bars back, and the volume ratio is at least 1.5. Let a width be the average range times the volume ratio divided by 1.5, kept between 1 and 1.5 times the average range. Set a fixed stop 2 widths from the close, below a long and above a short, and give a short a target 3 widths below the close and a time stop of 237 bars; skip the entry if that stop, or a short's target, would be zero or below. Apart from its stop and the data checks below, sell a long only on the 09:30 bar, when the return is zero or below or the close is at or below the 20-block average. Cover a short on any bar, the closing bar included, when the return is zero or above or the close is at or above that average. If a session's first bar is not the 09:30 bar, a five-minute window has no bar, the session ends at neither 16:00 nor 13:00, or a bar's open, high, low, close or volume is not positive or its high and low do not contain its open and close, exit anything held and trade no more that session; skip an entry if any of the last 1,659 bars fails that check, and exit anything held on any bar where a close 79, 158 and so on up to 1,659 bars back is not positive. Size each entry at 50% of equity in whole shares, with entry allocations limited to 50% per stock and 100% total gross, so no entry leaves a position above 50% of equity or long plus short value above 100%. Use a margin account so it can short. Backtest from October 10, 2024 to October 9, 2026 with $100,000.","Orbital Chat cannot set entry allocation limits yet, so a backtest it proposes runs without them, and on a margin account it can then hold up to four positions of 50% each. To match this test, run it from Backtesting and turn on Limit entry allocations in the Run dialog, at 50% per stock and 100% total gross.",{"total_return":1155,"cagr":1156,"sharpe":1157,"max_dd":1158,"win_rate":1159,"profit_factor":478},275.57,94.06,1.67,32.71,32.9,{"id":1161,"name":1162,"family":30,"tags":1163,"universe":1122,"universe_short":1123,"bars_label":33,"collection":21,"rule_short":1165,"verdict":1107,"prompt":1166,"prompt_note":37,"not_testable_reason":37,"stats":1167,"original":37,"forward":37},"N05","20-day trend long with nearest-neighbor exit, AI growth 21",[30,1164,860],"Machine learning","Buy any of 21 AI growth stocks when it closes above its 20-day average, and sell when it closes below that average or when, of the eight past days most like today, at most one rose over the following four sessions.","Trade NVDA, GOOGL, MSFT, META, AVGO, MU, AMD, PLTR, LRCX, ORCL, ANET, MRVL, NET, SNOW, DDOG, VRT, ALAB, CRWV, CRDO, RBRK and TEM on daily bars. Build it as a program that reads only daily closes, decides at every daily close and declares a 280-bar warm-up. The average is the mean of the last 20 closes, today's included. If it holds none of a stock and today's close is above the average, buy with 10% of equity. If it holds the stock, sell when today's close is below the average; otherwise sell when the pattern score below is -6 or lower. For the score, describe a day by five readings: the 7-day and the 21-day RSI, each the sum of gains divided by the sum of gains and losses over that many daily changes (1 when there were no losses); Williams %R on the last 14 closes, -(highest - close) / (highest - lowest), or 0 when they are all equal; the 14-day return, today's close divided by the close 14 sessions earlier, minus 1; and the sum of the last 14 absolute daily changes divided by the sum of the last 14 closes. Keep all five as fractions, not percentages. Compare today with each day from 5 to 239 sessions ago, with distance the sum over the five readings of ln(1 + absolute difference). Scanning from the most recent of those days, keep a list of the 8 nearest: skip a day within 4 sessions of one on the list, and let a nearer day push the farthest off (on a tie, keep the more recent). Score each listed day +1 if the close 4 sessions after it was higher than its close and -1 otherwise, and add them up. Never use the score for buying. Orders fill at the next session's open. Long only, with no margin. Backtest from January 2, 2024 to October 2, 2026 with $100,000.",{"total_return":1168,"cagr":1169,"sharpe":930,"max_dd":1170,"win_rate":1171,"profit_factor":1172},229.94,54.39,31.47,38.3,1.68,{"id":1174,"name":1175,"family":30,"tags":1176,"universe":1177,"universe_short":1178,"bars_label":33,"collection":21,"rule_short":1179,"verdict":1107,"prompt":1180,"prompt_note":37,"not_testable_reason":37,"stats":1181,"original":37,"forward":37},"N06","Momentum-ranked ten-day trend hold, big tech 7",[30,344,860],"Seven big tech stocks: AAPL, MSFT, NVDA, AMZN, GOOGL, AMD and TSLA","Big tech 7","At each day's close it checks each of seven big tech stocks it does not hold, buys at the next open each one that closed above its 20-day average without unusually wide daily swings, and sells it at the open ten trading sessions later.","Trade AAPL, MSFT, NVDA, AMZN, GOOGL, AMD and TSLA on daily bars during regular hours. Build it as a program that uses only daily data, decides at each session's close and declares a 64-bar warm-up, so it can trade from the first session. At each close, for each stock with no shares held and no order pending, compute the average of its last 20 closes, today's included; its 14-day average true range, the plain average of its last 14 true ranges, where a day's true range is the largest of its high minus its low, the distance from the previous close to its high and the distance from the previous close to its low; and its 20-day return, today's close divided by the close 20 bars back, minus 1. Buy with 20% of equity when today's close is above the 20-day average and the average true range is at most 10% of today's close. Skip the stock that day if any of its last 33 bars has a missing price or volume, a low at or below zero, or an open or close outside that bar's high and low, or if its average volume over the 20 bars before today is zero. Give each buy a score equal to the 20-day return divided by the average true range as a fraction of today's close; a negative score still buys. Set a 10-bar time stop on each buy, so each sale fills at the open ten sessions after the buy, with no stop loss and no profit target. Orders fill at the next bar's open. Rank each day's buys by score, highest first, with at most 7 new positions a day, at most 7 held at once and no minimum score, so when cash runs short the highest scores are bought first and nothing held is sold to make room. Long only, on a cash account with no margin. Backtest from January 1, 2020 to September 4, 2026 with $100,000.",{"total_return":1182,"cagr":1183,"sharpe":1184,"max_dd":1185,"win_rate":1186,"profit_factor":1187},601.56,33.91,1.1,38.44,55.8,1.61,{"id":1189,"name":1190,"family":1191,"tags":1192,"universe":1194,"universe_short":1195,"bars_label":33,"collection":21,"rule_short":1196,"verdict":1107,"prompt":1197,"prompt_note":37,"not_testable_reason":37,"stats":1198,"original":37,"forward":37},"N07","200-day trend switch, TQQQ","Trend filter",[30,1193],"Leveraged ETF","One fund: TQQQ (ProShares UltraPro QQQ), which seeks three times the Nasdaq-100's daily return","TQQQ (3x Nasdaq-100)","Hold TQQQ while its daily close is above its own 200-day simple moving average, and hold cash while it is below.","Trade TQQQ on daily bars. Build it as a program that uses only daily data, decides on every daily bar and has a 200-bar warm-up. On each bar, take the simple average of TQQQ's last 200 daily closes, that day's close included. If it holds no shares and has no order pending, buy with 95% of equity when the close is above the average. If it holds shares, sell all of them when the close is below the average; a close equal to the average does nothing. Orders fill at the next session's open. Long only, on a cash account with no margin. Use TQQQ itself as the benchmark. Backtest from January 3, 2017 to October 1, 2026 with $100,000.",{"total_return":1199,"cagr":1200,"sharpe":231,"max_dd":1201,"win_rate":1202,"profit_factor":815},3040.82,42.46,47.42,52.2,{"id":1204,"name":1205,"family":1191,"tags":1206,"universe":1208,"universe_short":1209,"bars_label":33,"collection":21,"rule_short":1210,"verdict":1107,"prompt":1211,"prompt_note":37,"not_testable_reason":37,"stats":1212,"original":37,"forward":37},"T02","2016 chip leaders above the 200-day",[30,1207],"Themed basket","The ten largest chip companies listed in the US by market value at the close of December 30, 2016: INTC, TSM, QCOM, TXN, AVGO, NVDA, ASML, AMAT, NXPI, MU","2016 chips 10","Hold each of the ten stocks while its daily close is above its 200-day simple moving average.","Trade INTC, TSM, QCOM, TXN, AVGO, NVDA, ASML, AMAT, NXPI and MU on daily bars. Buy a stock when its close is above its 200-day simple moving average and sell it when its close falls below, with 9.9% of equity per position. Backtest from November 21, 2016 to October 30, 2026 with $100,000.",{"total_return":1213,"cagr":1214,"sharpe":1215,"max_dd":1216,"win_rate":1217,"profit_factor":1218},1134.85,28.78,0.9,-30.84,27.1,3.58,{"id":1220,"name":1221,"family":342,"tags":1222,"universe":1208,"universe_short":1209,"bars_label":33,"collection":21,"rule_short":1223,"verdict":1107,"prompt":1224,"prompt_note":37,"not_testable_reason":37,"stats":1225,"original":37,"forward":37},"T03","2016 chip leaders, monthly top three",[344,1207],"At the close of each month's first trading day, sell every holding at the next open.","Trade INTC, TSM, QCOM, TXN, AVGO, NVDA, ASML, AMAT, NXPI and MU on daily bars, built as a program. On the first trading day of each month, sell every holding. On the next trading day, score each stock by its return over the last 126 trading days and buy those scoring above zero, 33% of equity each, keeping the three highest scores with at most three positions. Backtest from November 21, 2016 to October 30, 2026 with $100,000.",{"total_return":1226,"cagr":1227,"sharpe":1228,"max_dd":1229,"win_rate":1230,"profit_factor":1231},2531.61,38.96,0.96,-40.05,59.9,2.34,{"id":1233,"name":1234,"family":1235,"tags":1236,"universe":1208,"universe_short":1209,"bars_label":33,"collection":21,"rule_short":1237,"verdict":35,"prompt":1238,"prompt_note":37,"not_testable_reason":37,"stats":1239,"original":37,"forward":37},"T04","2016 chip leaders, RSI(2) pullbacks","Pullback",[58,1207],"Buy a stock at the next open when its two-day RSI (Wilder's) closes below 10 while its close is above its 200-day simple moving average; sell at the next open after a close above its 5-day average.","Trade INTC, TSM, QCOM, TXN, AVGO, NVDA, ASML, AMAT, NXPI and MU on daily bars, built as a program. Buy a stock when its 2-day Wilder RSI is below 10 and its close is above its 200-day simple moving average, scoring the entry by how far the RSI is below 10; sell when its close rises above its 5-day simple moving average. Hold at most five positions, 19.8% of equity each, taking the highest scores first. Backtest from November 21, 2016 to October 30, 2026 with $100,000.",{"total_return":1240,"cagr":1241,"sharpe":468,"max_dd":1242,"win_rate":1243,"profit_factor":146},129.26,8.71,-21.95,66.8,{"id":1245,"name":1246,"family":1191,"tags":1247,"universe":1248,"universe_short":1249,"bars_label":33,"collection":21,"rule_short":1250,"verdict":1107,"prompt":1251,"prompt_note":37,"not_testable_reason":37,"stats":1252,"original":37,"forward":37},"T06","AI leaders above the 200-day",[30,1207],"The twelve largest holdings of Global X's AI and technology fund (AIQ) on November 5, 2026: MSFT, PLTR, AMZN, TSLA, AAPL, ORCL, NFLX, GOOGL, NVDA, SAP, TSM, CSCO","AI 12 (AIQ)","Hold each of the twelve stocks while its daily close is above its 200-day simple moving average.","Trade MSFT, PLTR, AMZN, TSLA, AAPL, ORCL, NFLX, GOOGL, NVDA, SAP, TSM and CSCO on daily bars. Buy a stock when its close is above its 200-day simple moving average and sell it when its close falls below, with 8.2% of equity per position. Backtest from November 21, 2016 to October 30, 2026 with $100,000.",{"total_return":1253,"cagr":1254,"sharpe":596,"max_dd":1255,"win_rate":1256,"profit_factor":471},1226.69,29.71,-27.1,29.6,{"id":1258,"name":1259,"family":342,"tags":1260,"universe":1248,"universe_short":1249,"bars_label":33,"collection":21,"rule_short":1223,"verdict":1107,"prompt":1261,"prompt_note":37,"not_testable_reason":37,"stats":1262,"original":37,"forward":37},"T07","AI leaders, monthly top three",[344,1207],"Trade MSFT, PLTR, AMZN, TSLA, AAPL, ORCL, NFLX, GOOGL, NVDA, SAP, TSM and CSCO on daily bars, built as a program. On the first trading day of each month, sell every holding. On the next trading day, score each stock by its return over the last 126 trading days and buy those scoring above zero, 33% of equity each, keeping the three highest scores with at most three positions. Backtest from November 21, 2016 to October 30, 2026 with $100,000.",{"total_return":1263,"cagr":1264,"sharpe":334,"max_dd":1265,"win_rate":1266,"profit_factor":254},3791.72,44.54,-38.01,61.3,{"id":1268,"name":1269,"family":1235,"tags":1270,"universe":1248,"universe_short":1249,"bars_label":33,"collection":21,"rule_short":1237,"verdict":1271,"prompt":1272,"prompt_note":37,"not_testable_reason":37,"stats":1273,"original":37,"forward":37},"T08","AI leaders, RSI(2) pullbacks",[58,1207],"smooth","Trade MSFT, PLTR, AMZN, TSLA, AAPL, ORCL, NFLX, GOOGL, NVDA, SAP, TSM and CSCO on daily bars, built as a program. Buy a stock when its 2-day Wilder RSI is below 10 and its close is above its 200-day simple moving average, scoring the entry by how far the RSI is below 10; sell when its close rises above its 5-day simple moving average. Hold at most five positions, 19.8% of equity each, taking the highest scores first. Backtest from November 21, 2016 to October 30, 2026 with $100,000.",{"total_return":1274,"cagr":1275,"sharpe":1276,"max_dd":1277,"win_rate":1278,"profit_factor":189},226.23,12.63,0.64,-23.62,67.6,{"id":1280,"name":1281,"family":1191,"tags":1282,"universe":1283,"universe_short":1284,"bars_label":33,"collection":21,"rule_short":1250,"verdict":1107,"prompt":1285,"prompt_note":37,"not_testable_reason":37,"stats":1286,"original":37,"forward":37},"T10","Software leaders above the 200-day",[30,1207],"The twelve largest holdings of iShares' tech-software fund (IGV) on November 5, 2026: MSFT, PANW, PLTR, CRWD, ORCL, CRM, ADBE, NOW, INTU, APP, CDNS, SNPS","Software 12 (IGV)","Trade MSFT, PANW, PLTR, CRWD, ORCL, CRM, ADBE, NOW, INTU, APP, CDNS and SNPS on daily bars. Buy a stock when its close is above its 200-day simple moving average and sell it when its close falls below, with 8.2% of equity per position. Backtest from November 21, 2016 to October 30, 2026 with $100,000.",{"total_return":1287,"cagr":1288,"sharpe":1289,"max_dd":1290,"win_rate":1291,"profit_factor":1292},775.95,24.4,0.88,-42.84,27.8,3.18,{"id":1294,"name":1295,"family":342,"tags":1296,"universe":1283,"universe_short":1284,"bars_label":33,"collection":21,"rule_short":1223,"verdict":1107,"prompt":1297,"prompt_note":37,"not_testable_reason":37,"stats":1298,"original":37,"forward":37},"T11","Software leaders, monthly top three",[344,1207],"Trade MSFT, PANW, PLTR, CRWD, ORCL, CRM, ADBE, NOW, INTU, APP, CDNS and SNPS on daily bars, built as a program. On the first trading day of each month, sell every holding. On the next trading day, score each stock by its return over the last 126 trading days and buy those scoring above zero, 33% of equity each, keeping the three highest scores with at most three positions. Backtest from November 21, 2016 to October 30, 2026 with $100,000.",{"total_return":1299,"cagr":1300,"sharpe":1289,"max_dd":1301,"win_rate":1302,"profit_factor":361},1602.02,33,-42.14,60.7,{"id":1304,"name":1305,"family":1235,"tags":1306,"universe":1283,"universe_short":1284,"bars_label":33,"collection":21,"rule_short":1237,"verdict":35,"prompt":1307,"prompt_note":37,"not_testable_reason":37,"stats":1308,"original":37,"forward":37},"T12","Software leaders, RSI(2) pullbacks",[58,1207],"Trade MSFT, PANW, PLTR, CRWD, ORCL, CRM, ADBE, NOW, INTU, APP, CDNS and SNPS on daily bars, built as a program. Buy a stock when its 2-day Wilder RSI is below 10 and its close is above its 200-day simple moving average, scoring the entry by how far the RSI is below 10; sell when its close rises above its 5-day simple moving average. Hold at most five positions, 19.8% of equity each, taking the highest scores first. Backtest from November 21, 2016 to October 30, 2026 with $100,000.",{"total_return":1309,"cagr":1310,"sharpe":410,"max_dd":1311,"win_rate":1312,"profit_factor":1313},104.61,7.47,-15.84,65.6,1.6,{"id":1315,"name":1316,"family":1191,"tags":1317,"universe":1318,"universe_short":1319,"bars_label":33,"collection":21,"rule_short":1210,"verdict":1107,"prompt":1320,"prompt_note":37,"not_testable_reason":37,"stats":1321,"original":37,"forward":37},"T14","Cybersecurity leaders above the 200-day",[30,1207],"The ten largest holdings of First Trust's cybersecurity fund (CIBR) on November 5, 2026: CRWD, CSCO, PANW, AVGO, FTNT, ZS, OKTA, NET, ACN, FFIV","Cyber 10 (CIBR)","Trade CRWD, CSCO, PANW, AVGO, FTNT, ZS, OKTA, NET, ACN and FFIV on daily bars. Buy a stock when its close is above its 200-day simple moving average and sell it when its close falls below, with 9.9% of equity per position. Backtest from November 21, 2016 to October 30, 2026 with $100,000.",{"total_return":1322,"cagr":1323,"sharpe":1324,"max_dd":1325,"win_rate":1326,"profit_factor":1231},466.78,19.07,0.74,-28.11,28.2,{"id":1328,"name":1329,"family":342,"tags":1330,"universe":1318,"universe_short":1319,"bars_label":33,"collection":21,"rule_short":1223,"verdict":1107,"prompt":1331,"prompt_note":37,"not_testable_reason":37,"stats":1332,"original":37,"forward":37},"T15","Cybersecurity leaders, monthly top three",[344,1207],"Trade CRWD, CSCO, PANW, AVGO, FTNT, ZS, OKTA, NET, ACN and FFIV on daily bars, built as a program. On the first trading day of each month, sell every holding. On the next trading day, score each stock by its return over the last 126 trading days and buy those scoring above zero, 33% of equity each, keeping the three highest scores with at most three positions. Backtest from November 21, 2016 to October 30, 2026 with $100,000.",{"total_return":1333,"cagr":1334,"sharpe":1335,"max_dd":1336,"win_rate":1337,"profit_factor":1338},2071.23,36.3,0.95,-51.59,61.8,1.85,{"id":1340,"name":1341,"family":1235,"tags":1342,"universe":1318,"universe_short":1319,"bars_label":33,"collection":21,"rule_short":1237,"verdict":35,"prompt":1343,"prompt_note":37,"not_testable_reason":37,"stats":1344,"original":37,"forward":37},"T16","Cybersecurity leaders, RSI(2) pullbacks",[58,1207],"Trade CRWD, CSCO, PANW, AVGO, FTNT, ZS, OKTA, NET, ACN and FFIV on daily bars, built as a program. Buy a stock when its 2-day Wilder RSI is below 10 and its close is above its 200-day simple moving average, scoring the entry by how far the RSI is below 10; sell when its close rises above its 5-day simple moving average. Hold at most five positions, 19.8% of equity each, taking the highest scores first. Backtest from November 21, 2016 to October 30, 2026 with $100,000.",{"total_return":1345,"cagr":538,"sharpe":1346,"max_dd":1347,"win_rate":1348,"profit_factor":260},93.55,0.25,-23.45,65.3,{"id":1350,"name":1351,"family":1352,"tags":1353,"universe":1354,"universe_short":1355,"bars_label":552,"collection":21,"rule_short":1356,"verdict":308,"prompt":1357,"prompt_note":37,"not_testable_reason":37,"stats":1358,"original":37,"forward":37},"I02","Nasdaq-100 (Oct 2023), overnight-gap reversal","Gap reversal",[305,58,860],"The 93 Nasdaq-100 members on October 27, 2023, the last session before the test, that still traded under their tickers on October 30, 2026: AAPL, ABNB, ADBE, ADI, ADP, ADSK, AEP, ALGN, AMAT, AMD, AMGN, AMZN, ASML, AVGO, BIIB, BKNG, BKR, CDNS, CEG, CHTR, CMCSA, COST, CPRT, CRWD, CSCO, CSGP, CSX, CTAS, CTSH, DDOG, DLTR, DXCM, EBAY, ENPH, EXC, FANG, FAST, FTNT, GEHC, GFS, GILD, GOOGL, HON, IDXX, ILMN, INTC, INTU, ISRG, JD, KDP, KHC, KLAC, LCID, LRCX, LULU, MAR, MCHP, MDLZ, MELI, META, MNST, MRNA, MRVL, MSFT, MU, NFLX, NVDA, NXPI, ODFL, ON, ORLY, PANW, PAYX, PCAR, PDD, PEP, PYPL, QCOM, REGN, ROST, SBUX, SNPS, TEAM, TMUS, TSLA, TTD, TXN, VRSK, VRTX, WDAY, XEL, ZM, ZS","Nasdaq-100 2023 (93)","At each session's first minute, test whether the overnight gap from the previous official close is a jump: the gap joins the previous session's one-minute returns, and Barndorff-Nielsen and Shephard's ratio test of realized against bipower variation, scaled by the tripower quarticity, must exceed 3.09, with the gap also the largest move in the sample.","Trade AAPL, ABNB, ADBE, ADI, ADP, ADSK, AEP, ALGN, AMAT, AMD, AMGN, AMZN, ASML, AVGO, BIIB, BKNG, BKR, CDNS, CEG, CHTR, CMCSA, COST, CPRT, CRWD, CSCO, CSGP, CSX, CTAS, CTSH, DDOG, DLTR, DXCM, EBAY, ENPH, EXC, FANG, FAST, FTNT, GEHC, GFS, GILD, GOOGL, HON, IDXX, ILMN, INTC, INTU, ISRG, JD, KDP, KHC, KLAC, LCID, LRCX, LULU, MAR, MCHP, MDLZ, MELI, META, MNST, MRNA, MRVL, MSFT, MU, NFLX, NVDA, NXPI, ODFL, ON, ORLY, PANW, PAYX, PCAR, PDD, PEP, PYPL, QCOM, REGN, ROST, SBUX, SNPS, TEAM, TMUS, TSLA, TTD, TXN, VRSK, VRTX, WDAY, XEL, ZM and ZS on 1-minute bars, built as a program. At 09:30 each session, add the gap from the previous official close to the previous session's one-minute returns and run Barndorff-Nielsen and Shephard's ratio jump test (realized against bipower variation, scaled by tripower quarticity). If the statistic exceeds 3.09 and the gap is the largest move, buy a gap down or sell short a gap up with 1% of equity, and close the position at 11:30. Use a margin account. Backtest from October 30, 2023 to October 30, 2026 with $1,000,000.",{"total_return":1359,"cagr":1360,"sharpe":1361,"max_dd":1362,"win_rate":1363,"profit_factor":257},-17.48,-6.2,-2.65,-17.84,48.1,{"id":1365,"name":1366,"family":1367,"tags":1368,"universe":1354,"universe_short":1355,"bars_label":570,"collection":21,"rule_short":1369,"verdict":35,"prompt":1370,"prompt_note":37,"not_testable_reason":37,"stats":1371,"original":37,"forward":37},"I03","Nasdaq-100 (Oct 2023), new-high trend","New-high trend",[30,118,860],"Buy at the next minute's open after an hourly close reaches the stock's record, its highest session close on file, and sell at the next open after an hourly close falls below a trailing stop.","Trade AAPL, ABNB, ADBE, ADI, ADP, ADSK, AEP, ALGN, AMAT, AMD, AMGN, AMZN, ASML, AVGO, BIIB, BKNG, BKR, CDNS, CEG, CHTR, CMCSA, COST, CPRT, CRWD, CSCO, CSGP, CSX, CTAS, CTSH, DDOG, DLTR, DXCM, EBAY, ENPH, EXC, FANG, FAST, FTNT, GEHC, GFS, GILD, GOOGL, HON, IDXX, ILMN, INTC, INTU, ISRG, JD, KDP, KHC, KLAC, LCID, LRCX, LULU, MAR, MCHP, MDLZ, MELI, META, MNST, MRNA, MRVL, MSFT, MU, NFLX, NVDA, NXPI, ODFL, ON, ORLY, PANW, PAYX, PCAR, PDD, PEP, PYPL, QCOM, REGN, ROST, SBUX, SNPS, TEAM, TMUS, TSLA, TTD, TXN, VRSK, VRTX, WDAY, XEL, ZM and ZS on 1-hour bars, built as a program that keeps each session's high, low and close. Buy when an hourly close reaches the highest session close on file; set a stop 10 average true ranges (42-session, Wilder) below the entry, and each session raise it, never lower it, to the record less 10 ATR as a share of that session's close. Sell on an hourly close below the stop. 1% of equity per stock, long only. Backtest from October 30, 2023 to October 30, 2026 with $1,000,000.",{"total_return":1372,"cagr":748,"sharpe":1373,"max_dd":1374,"win_rate":1375,"profit_factor":296},24.93,0.37,-9.16,48.3,{"id":1377,"name":1378,"family":1379,"tags":1380,"universe":1354,"universe_short":1355,"bars_label":570,"collection":21,"rule_short":1381,"verdict":35,"prompt":1382,"prompt_note":37,"not_testable_reason":37,"stats":1383,"original":37,"forward":37},"I04","Nasdaq-100 (Oct 2023), Turtle System 2","Channel breakout",[30,118,860],"Buy at the next minute's open after an hourly close tops the highest high of the last 55 completed sessions, with a stop 2N below the decision close, where N is the 20-session Wilder average of the day's true range.","Trade AAPL, ABNB, ADBE, ADI, ADP, ADSK, AEP, ALGN, AMAT, AMD, AMGN, AMZN, ASML, AVGO, BIIB, BKNG, BKR, CDNS, CEG, CHTR, CMCSA, COST, CPRT, CRWD, CSCO, CSGP, CSX, CTAS, CTSH, DDOG, DLTR, DXCM, EBAY, ENPH, EXC, FANG, FAST, FTNT, GEHC, GFS, GILD, GOOGL, HON, IDXX, ILMN, INTC, INTU, ISRG, JD, KDP, KHC, KLAC, LCID, LRCX, LULU, MAR, MCHP, MDLZ, MELI, META, MNST, MRNA, MRVL, MSFT, MU, NFLX, NVDA, NXPI, ODFL, ON, ORLY, PANW, PAYX, PCAR, PDD, PEP, PYPL, QCOM, REGN, ROST, SBUX, SNPS, TEAM, TMUS, TSLA, TTD, TXN, VRSK, VRTX, WDAY, XEL, ZM and ZS on 1-hour bars, built as a program that keeps each session's high, low and close. Buy when an hourly close tops the highest high of the last 55 sessions, with a stop 2N below the close, N being the 20-session Wilder average true range; each session raise the stop to the higher of 2N below the fill and the lowest low of the last 20 sessions, and sell at or below it. 1% of equity per stock, long only. Backtest from October 30, 2023 to October 30, 2026 with $1,000,000.",{"total_return":1384,"cagr":1385,"sharpe":653,"max_dd":1386,"win_rate":1387,"profit_factor":1388},7.01,2.28,-6.27,31,1.22,{"id":1390,"name":1391,"family":1392,"tags":1393,"universe":1354,"universe_short":1355,"bars_label":570,"collection":21,"rule_short":1394,"verdict":35,"prompt":1395,"prompt_note":37,"not_testable_reason":37,"stats":1396,"original":37,"forward":37},"I05","Nasdaq-100 (Oct 2023), Keltner-Donchian trend","Channel trend",[30,118,860],"Buy at the next minute's open after an hourly close reaches the upper band: the lower of the highest of the last 20 session closes and their 20-session average plus 2.8 times their mean daily change.","Trade AAPL, ABNB, ADBE, ADI, ADP, ADSK, AEP, ALGN, AMAT, AMD, AMGN, AMZN, ASML, AVGO, BIIB, BKNG, BKR, CDNS, CEG, CHTR, CMCSA, COST, CPRT, CRWD, CSCO, CSGP, CSX, CTAS, CTSH, DDOG, DLTR, DXCM, EBAY, ENPH, EXC, FANG, FAST, FTNT, GEHC, GFS, GILD, GOOGL, HON, IDXX, ILMN, INTC, INTU, ISRG, JD, KDP, KHC, KLAC, LCID, LRCX, LULU, MAR, MCHP, MDLZ, MELI, META, MNST, MRNA, MRVL, MSFT, MU, NFLX, NVDA, NXPI, ODFL, ON, ORLY, PANW, PAYX, PCAR, PDD, PEP, PYPL, QCOM, REGN, ROST, SBUX, SNPS, TEAM, TMUS, TSLA, TTD, TXN, VRSK, VRTX, WDAY, XEL, ZM and ZS on 1-hour bars, built as a program that keeps session closes. Upper band: the lower of the 20-session high close and the 20-session EMA plus 2.8 times the mean absolute daily change. Lower band: the higher of the 40-session low close and the 40-session EMA less 2.8 mean changes. Buy on an hourly close at or above the upper band and trail a stop at the lower band that never falls; sell on an hourly close below it. 1% of equity per stock, long only. Backtest from October 30, 2023 to October 30, 2026 with $1,000,000.",{"total_return":1397,"cagr":1398,"sharpe":1399,"max_dd":1400,"win_rate":1401,"profit_factor":1402},34.29,10.32,0.58,-10.64,33.9,1.39,{"id":1404,"name":1405,"family":1191,"tags":1406,"universe":1354,"universe_short":1355,"bars_label":570,"collection":21,"rule_short":1407,"verdict":35,"prompt":1408,"prompt_note":37,"not_testable_reason":37,"stats":1409,"original":37,"forward":37},"I06","Nasdaq-100 (Oct 2023) above the 200-day, checked hourly",[30,860],"Hold each stock while its latest hourly close is above its 200-day simple moving average of daily closes, checked at every hourly close: buy at the next minute's open when it is above and sell when it falls below.","Trade AAPL, ABNB, ADBE, ADI, ADP, ADSK, AEP, ALGN, AMAT, AMD, AMGN, AMZN, ASML, AVGO, BIIB, BKNG, BKR, CDNS, CEG, CHTR, CMCSA, COST, CPRT, CRWD, CSCO, CSGP, CSX, CTAS, CTSH, DDOG, DLTR, DXCM, EBAY, ENPH, EXC, FANG, FAST, FTNT, GEHC, GFS, GILD, GOOGL, HON, IDXX, ILMN, INTC, INTU, ISRG, JD, KDP, KHC, KLAC, LCID, LRCX, LULU, MAR, MCHP, MDLZ, MELI, META, MNST, MRNA, MRVL, MSFT, MU, NFLX, NVDA, NXPI, ODFL, ON, ORLY, PANW, PAYX, PCAR, PDD, PEP, PYPL, QCOM, REGN, ROST, SBUX, SNPS, TEAM, TMUS, TSLA, TTD, TXN, VRSK, VRTX, WDAY, XEL, ZM and ZS, checking each hourly close against the 200-day simple moving average of daily closes: buy when the hourly close is above it and sell when it falls below, with 1% of equity per position. Backtest from October 30, 2023 to October 30, 2026 with $1,000,000.",{"total_return":1410,"cagr":1411,"sharpe":269,"max_dd":1412,"win_rate":1413,"profit_factor":300},49.59,14.36,-12.55,13.3,{"id":1415,"name":1416,"family":1417,"tags":1418,"universe":1354,"universe_short":1355,"bars_label":552,"collection":21,"rule_short":1419,"verdict":35,"prompt":1420,"prompt_note":37,"not_testable_reason":37,"stats":1421,"original":37,"forward":37},"I07","Nasdaq-100 (Oct 2023), 20-day close hold","Close-timed trend",[30,1048,860],"Once a session, at 15:58 (12:58 on a half day), buy a stock whose price is above its 20-day average, that price and the previous 19 official closes, and sell one that has fallen below it; orders fill at 15:59 or the closing print.","Trade AAPL, ABNB, ADBE, ADI, ADP, ADSK, AEP, ALGN, AMAT, AMD, AMGN, AMZN, ASML, AVGO, BIIB, BKNG, BKR, CDNS, CEG, CHTR, CMCSA, COST, CPRT, CRWD, CSCO, CSGP, CSX, CTAS, CTSH, DDOG, DLTR, DXCM, EBAY, ENPH, EXC, FANG, FAST, FTNT, GEHC, GFS, GILD, GOOGL, HON, IDXX, ILMN, INTC, INTU, ISRG, JD, KDP, KHC, KLAC, LCID, LRCX, LULU, MAR, MCHP, MDLZ, MELI, META, MNST, MRNA, MRVL, MSFT, MU, NFLX, NVDA, NXPI, ODFL, ON, ORLY, PANW, PAYX, PCAR, PDD, PEP, PYPL, QCOM, REGN, ROST, SBUX, SNPS, TEAM, TMUS, TSLA, TTD, TXN, VRSK, VRTX, WDAY, XEL, ZM and ZS on 1-minute bars, built as a program. Once a session at 15:58 (12:58 on a half day), compare the price with the average of it and the previous 19 official closes: buy if above, sell a holding if below. 1% of equity per stock, long only. Backtest from October 30, 2023 to October 30, 2026 with $1,000,000.",{"total_return":1422,"cagr":1423,"sharpe":1346,"max_dd":1424,"win_rate":1425,"profit_factor":497},19.97,6.25,-11.52,25.7,{"id":1427,"name":1428,"family":1191,"tags":1429,"universe":1430,"universe_short":996,"bars_label":570,"collection":21,"rule_short":1431,"verdict":35,"prompt":1432,"prompt_note":37,"not_testable_reason":37,"stats":1433,"original":37,"forward":37},"I08","QQQ above the 200-day, checked hourly",[30],"QQQ, the fund that tracks the Nasdaq-100","Hold the fund while its latest hourly close is above its 200-day simple moving average of daily closes, checked at every hourly close: buy at the next minute's open when it is above and sell when it falls below.","Trade QQQ, checking each hourly close against the 200-day simple moving average of daily closes: buy when above, sell when below, with 97% of equity per position. Backtest from October 30, 2023 to October 30, 2026 with $100,000.",{"total_return":1434,"cagr":1435,"sharpe":934,"max_dd":394,"win_rate":1436,"profit_factor":1437},79.29,21.48,28.6,10.19,{"id":1439,"name":1440,"family":1191,"tags":1441,"universe":1442,"universe_short":1443,"bars_label":570,"collection":21,"rule_short":1431,"verdict":896,"prompt":1444,"prompt_note":37,"not_testable_reason":37,"stats":1445,"original":37,"forward":37},"I09","TQQQ and UPRO above the 200-day, checked hourly",[30,1193],"Two 3x index funds: TQQQ (Nasdaq-100) and UPRO (S&P 500)","TQQQ · UPRO (3x)","Trade TQQQ and UPRO, checking each hourly close against the 200-day simple moving average of daily closes: buy when above, sell when below, with 49.5% of equity per position. Backtest from October 30, 2023 to October 30, 2026 with $100,000.",{"total_return":1446,"cagr":1447,"sharpe":1448,"max_dd":1449,"win_rate":1450,"profit_factor":1451},139.85,33.85,0.82,-34.83,26.5,3.27,{"id":1453,"name":1454,"family":1367,"tags":1455,"universe":1248,"universe_short":1249,"bars_label":570,"collection":21,"rule_short":1369,"verdict":896,"prompt":1456,"prompt_note":37,"not_testable_reason":37,"stats":1457,"original":37,"forward":37},"I11","AI leaders, new-high trend",[30,118,1207],"Trade MSFT, PLTR, AMZN, TSLA, AAPL, ORCL, NFLX, GOOGL, NVDA, SAP, TSM and CSCO on 1-hour bars, built as a program that keeps each session's high, low and close. Buy when an hourly close reaches the highest session close on file; set a stop 10 average true ranges (42-session, Wilder) below the entry, and each session raise it, never lower it, to the record less 10 ATR as a share of that session's close. Sell on an hourly close below the stop. 8.2% of equity per stock, long only. Backtest from October 30, 2023 to October 30, 2026 with $100,000.",{"total_return":1458,"cagr":1459,"sharpe":240,"max_dd":1460,"win_rate":624,"profit_factor":1461},92.63,24.42,-24.05,5.66,{"id":1463,"name":1464,"family":1379,"tags":1465,"universe":1248,"universe_short":1249,"bars_label":570,"collection":21,"rule_short":1381,"verdict":35,"prompt":1466,"prompt_note":37,"not_testable_reason":37,"stats":1467,"original":37,"forward":37},"I12","AI leaders, Turtle System 2",[30,118,1207],"Trade MSFT, PLTR, AMZN, TSLA, AAPL, ORCL, NFLX, GOOGL, NVDA, SAP, TSM and CSCO on 1-hour bars, built as a program that keeps each session's high, low and close. Buy when an hourly close tops the highest high of the last 55 sessions, with a stop 2N below the close, N being the 20-session Wilder average true range; each session raise the stop to the higher of 2N below the fill and the lowest low of the last 20 sessions, and sell at or below it. 8.2% of equity per stock, long only. Backtest from October 30, 2023 to October 30, 2026 with $100,000.",{"total_return":1468,"cagr":1469,"sharpe":1470,"max_dd":1471,"win_rate":1472,"profit_factor":1473},37.95,11.32,0.63,-10.24,43.8,2.16,{"id":1475,"name":1476,"family":1392,"tags":1477,"universe":1248,"universe_short":1249,"bars_label":570,"collection":21,"rule_short":1394,"verdict":35,"prompt":1478,"prompt_note":37,"not_testable_reason":37,"stats":1479,"original":37,"forward":37},"I13","AI leaders, Keltner-Donchian trend",[30,118,1207],"Trade MSFT, PLTR, AMZN, TSLA, AAPL, ORCL, NFLX, GOOGL, NVDA, SAP, TSM and CSCO on 1-hour bars, built as a program that keeps session closes. Upper band: the lower of the 20-session high close and the 20-session EMA plus 2.8 times the mean absolute daily change. Lower band: the higher of the 40-session low close and the 40-session EMA less 2.8 mean changes. Buy on an hourly close at or above the upper band and trail a stop at the lower band that never falls; sell on an hourly close below it. 8.2% of equity per stock, long only. Backtest from October 30, 2023 to October 30, 2026 with $100,000.",{"total_return":1480,"cagr":1481,"sharpe":1482,"max_dd":1483,"win_rate":1484,"profit_factor":1485},77.3,21.03,0.98,-15.53,40.1,1.98,{"id":1487,"name":1488,"family":1191,"tags":1489,"universe":1248,"universe_short":1249,"bars_label":570,"collection":21,"rule_short":1407,"verdict":1107,"prompt":1490,"prompt_note":37,"not_testable_reason":37,"stats":1491,"original":37,"forward":37},"I14","AI leaders above the 200-day, checked hourly",[30,1207],"Trade MSFT, PLTR, AMZN, TSLA, AAPL, ORCL, NFLX, GOOGL, NVDA, SAP, TSM and CSCO, checking each hourly close against the 200-day simple moving average of daily closes: buy when the hourly close is above it and sell when it falls below, with 8.2% of equity per position. Backtest from October 30, 2023 to October 30, 2026 with $100,000.",{"total_return":1492,"cagr":1493,"sharpe":1494,"max_dd":1495,"win_rate":1496,"profit_factor":1497},189.56,42.52,1.47,-24.92,22.6,4.95,{"id":1499,"name":1500,"family":1417,"tags":1501,"universe":1248,"universe_short":1249,"bars_label":552,"collection":21,"rule_short":1419,"verdict":35,"prompt":1502,"prompt_note":37,"not_testable_reason":37,"stats":1503,"original":37,"forward":37},"I15","AI leaders, 20-day close hold",[30,1048,1207],"Trade MSFT, PLTR, AMZN, TSLA, AAPL, ORCL, NFLX, GOOGL, NVDA, SAP, TSM and CSCO on 1-minute bars, built as a program. Once a session at 15:58 (12:58 on a half day), compare the price with the average of it and the previous 19 official closes: buy if above, sell a holding if below. 8.2% of equity per stock, long only. Backtest from October 30, 2023 to October 30, 2026 with $100,000.",{"total_return":1504,"cagr":1505,"sharpe":887,"max_dd":1506,"win_rate":1507,"profit_factor":1313},63.13,17.71,-16.55,30.3,[1509,1862,2053,2251,2471,2691,2905,3119,3318,3503,3680,3803,3981,4145,4338,4760,5037,5267,5390,5854,6192,6404,6833,7062,7372,7606,7810,8151,8487,8822,9163,9482,9799,10005,10216,10521,10809,11097,11338,11506,11672,11920,12193,12369,12586,13113,13258,13829,14176,14300,14607,15044,15397,15751,16059,16406,16761,17075,17424,17775,18080,18413,18767,19075,19592,19959,20293,20666,21042,21402,21820,22267,22697,23086,23501,23941],{"id":26,"name":27,"bars_label":33,"window":1510,"ret":39,"cagr":40,"sharpe":41,"spy":1511,"points":1512},"daily",316.62,[1513,1515,1518,1521,1524,1527,1530,1533,1536,1539,1542,1545,1548,1551,1554,1557,1560,1563,1566,1569,1572,1575,1578,1581,1584,1587,1589,1591,1593,1596,1599,1602,1605,1608,1611,1614,1617,1620,1623,1626,1629,1632,1635,1637,1640,1643,1646,1649,1652,1654,1657,1660,1663,1666,1669,1672,1675,1678,1681,1684,1687,1690,1692,1695,1698,1700,1702,1705,1708,1710,1713,1716,1719,1721,1724,1727,1730,1733,1736,1739,1742,1745,1748,1751,1754,1756,1759,1762,1765,1768,1771,1774,1777,1780,1783,1786,1789,1792,1795,1798,1801,1804,1806,1808,1811,1814,1817,1820,1823,1826,1829,1832,1835,1838,1841,1844,1847,1850,1853,1856,1859],[1514,240],"2016-10-31",[1516,1517],"2016-11-25",1.0037,[1519,1520],"2016-12-30",1.008,[1522,1523],"2017-01-27",1.0254,[1525,1526],"2017-02-24",1.0411,[1528,1529],"2017-03-31",1.0394,[1531,1532],"2017-04-28",1.0427,[1534,1535],"2017-05-26",1.0507,[1537,1538],"2017-06-30",1.0514,[1540,1541],"2017-07-28",1.0565,[1543,1544],"2017-08-25",1.0464,[1546,1547],"2017-09-29",1.0623,[1549,1550],"2017-10-27",1.077,[1552,1553],"2017-11-24",1.0871,[1555,1556],"2017-12-29",1.0956,[1558,1559],"2018-01-26",1.1398,[1561,1562],"2018-02-23",1.1178,[1564,1565],"2018-03-29",1.102,[1567,1568],"2018-04-27",1.1041,[1570,1571],"2018-05-25",1.1163,[1573,1574],"2018-06-29",1.1219,[1576,1577],"2018-07-27",1.1391,[1579,1580],"2018-08-31",1.1635,[1582,1583],"2018-09-28",1.1593,[1585,1586],"2018-10-26",1.129,[1588,1586],"2018-11-30",[1590,1586],"2018-12-28",[1592,1586],"2019-01-25",[1594,1595],"2019-02-22",1.1575,[1597,1598],"2019-03-29",1.1631,[1600,1601],"2019-04-26",1.1917,[1603,1604],"2019-05-31",1.1506,[1606,1607],"2019-06-28",1.1508,[1609,1610],"2019-07-26",1.1671,[1612,1613],"2019-08-30",1.1356,[1615,1616],"2019-09-27",1.1233,[1618,1619],"2019-10-25",1.1389,[1621,1622],"2019-11-29",1.1648,[1624,1625],"2019-12-27",1.1874,[1627,1628],"2020-01-31",1.1855,[1630,1631],"2020-02-28",1.1567,[1633,1634],"2020-03-27",1.1562,[1636,1634],"2020-04-24",[1638,1639],"2020-05-29",1.2037,[1641,1642],"2020-06-26",1.2057,[1644,1645],"2020-07-31",1.2666,[1647,1648],"2020-08-28",1.3253,[1650,1651],"2020-09-25",1.2693,[1653,777],"2020-10-30",[1655,1656],"2020-11-27",1.332,[1658,1659],"2020-12-31",1.3692,[1661,1662],"2021-01-29",1.3807,[1664,1665],"2021-02-26",1.4051,[1667,1668],"2021-03-26",1.4197,[1670,1671],"2021-04-30",1.4264,[1673,1674],"2021-05-28",1.4169,[1676,1677],"2021-06-25",1.4298,[1679,1680],"2021-07-30",1.4369,[1682,1683],"2021-08-27",1.4531,[1685,1686],"2021-09-24",1.4483,[1688,1689],"2021-10-29",1.4255,[1691,1668],"2021-11-26",[1693,1694],"2021-12-31",1.4333,[1696,1697],"2022-01-28",1.399,[1699,1697],"2022-02-25",[1701,1697],"2022-03-25",[1703,1704],"2022-04-29",1.3277,[1706,1707],"2022-05-27",1.3292,[1709,1707],"2022-06-24",[1711,1712],"2022-07-29",1.3322,[1714,1715],"2022-08-26",1.3262,[1717,1718],"2022-09-30",1.2902,[1720,1718],"2022-10-28",[1722,1723],"2022-11-25",1.3014,[1725,1726],"2022-12-30",1.2589,[1728,1729],"2023-01-27",1.261,[1731,1732],"2023-02-24",1.2537,[1734,1735],"2023-03-31",1.2511,[1737,1738],"2023-04-28",1.2541,[1740,1741],"2023-05-26",1.2763,[1743,1744],"2023-06-30",1.3144,[1746,1747],"2023-07-28",1.3443,[1749,1750],"2023-08-25",1.3108,[1752,1753],"2023-09-29",1.314,[1755,1753],"2023-10-27",[1757,1758],"2023-11-24",1.317,[1760,1761],"2023-12-29",1.3713,[1763,1764],"2024-01-26",1.3801,[1766,1767],"2024-02-23",1.4038,[1769,1770],"2024-03-28",1.4317,[1772,1773],"2024-04-26",1.3872,[1775,1776],"2024-05-31",1.3806,[1778,1779],"2024-06-28",1.4034,[1781,1782],"2024-07-26",1.3978,[1784,1785],"2024-08-30",1.3792,[1787,1788],"2024-09-27",1.396,[1790,1791],"2024-10-25",1.4021,[1793,1794],"2024-11-29",1.4462,[1796,1797],"2024-12-27",1.4294,[1799,1800],"2025-01-31",1.4249,[1802,1803],"2025-02-28",1.4024,[1805,1764],"2025-03-28",[1807,1764],"2025-04-25",[1809,1810],"2025-05-30",1.3784,[1812,1813],"2025-06-27",1.4172,[1815,1816],"2025-07-25",1.4459,[1818,1819],"2025-08-29",1.464,[1821,1822],"2025-09-26",1.4925,[1824,1825],"2025-10-31",1.5227,[1827,1828],"2025-11-28",1.5037,[1830,1831],"2025-12-26",1.5169,[1833,1834],"2026-01-30",1.5256,[1836,1837],"2026-02-27",1.5224,[1839,1840],"2026-03-27",1.506,[1842,1843],"2026-04-24",1.5115,[1845,1846],"2026-05-29",1.5716,[1848,1849],"2026-06-26",1.5589,[1851,1852],"2026-07-31",1.5555,[1854,1855],"2026-08-28",1.568,[1857,1858],"2026-0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],[4736,13400],[4739,19578],[4742,19580],[1857,19582],[4747,19584],[4750,19586],[4753,19588],[4756,6704],[1860,19591],[24716,24719,24722,24725,24728,24731],{"title":24717,"body":24718},"How the baskets were picked","Three of the four baskets are the largest holdings, in November 2026, of three thematic funds: AI (AIQ), software (IGV) and cybersecurity (CIBR). They were picked with hindsight. The fourth, the ten largest chip companies of 2016, was picked by 2016 market value, though choosing chips as a theme today is hindsight too: chip stocks had an exceptional decade.",{"title":24720,"body":24721},"The monthly top three made the most, and fell hard","Holding the three strongest six-month performers, switched each month, made +1,602% to +3,792% against SPY's +302%, the most of any rule in every basket. It also fell as much as 52% from a high, in cybersecurity, and 38% in AI.",{"title":24723,"body":24724},"The 200-day average cut the falls","Holding only stocks above their 200-day average kept the deepest fall to between 27% and 31% in three baskets, and 43% in software, while making +467% to +1,227%. On AI it reached a Sharpe of 1.11, against SPY's 0.63.",{"title":24726,"body":24727},"Buying dips lagged in every basket","RSI(2) pullbacks made +94% to +226%, short of SPY in all four baskets. They sat in cash most of the time; only the AI version ran smoother than SPY.",{"title":24729,"body":24730},"Orbital's account strategies were searched hard","Seven strategies from Orbital's own account beat SPY over two to ten years, assuming 0.03% to 0.10% slippage. Their families were tried 7 to 113 times, often over windows of six months, and after that much searching only two keep a positive discounted Sharpe: N07, TQQQ above its 200-day, at 0.47, and N01 at 0.20.",{"title":24732,"body":24733},"Intraday rules mostly trailed SPY","Thirteen intraday rules were picked from published research by a rule written before any run. On the Nasdaq-100 as it stood in October 2023, every rule trailed SPY's +89% over the three years, and the overnight-gap day trade lost 17%. On the AI basket, picked with hindsight, the 200-day line checked hourly made +190% with a Sharpe of 1.47, the only one to beat SPY on both. TQQQ and UPRO above their 200-day lines made +140%, more than SPY but with a 35% fall.",{"title":24735,"body":24736},"No re-test beat SPY","None of the 27 re-tests matched SPY's return over the same days. The closest, O17's monthly rotation, made 139.7% against SPY's 316.6% over ten years; the best of the five intraday re-tests, W09, made 8.4% against SPY's 88.6% over three.",1794261303663]