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Experiment log · GP

Searching for profit that survives costs

1,105,920 unique configurations in this batch; 352 finalists received full and recent stress replays. Starting cash: ৳100,000. Data through 2026-10-13. Compute: local connected computer.

Full historical period: 2009-11-16 → 2026-10-13 (16.9 years). Selected finalist annualized return: -25.4%. This annualized figure describes the historical raw-price simulation.

All settings were tested for 6 fixed rule sets in the declared grid. The maximum is proven only within that finite historical grid. Full and recent-period results were used to select finalists, so those returns are in-sample. No global maximum across all possible strategies has been established. Corporate-action adjustments remain incomplete.

Verified finite search

Does the winner survive small changes?

Grid maximum NAV৳443,253
Nearby profitable settings25/25
Neighbour median NAV৳376,531
One extra session delay৳260,512

Stops and maximum holding periods varied by ±10% and ±20%. 25/25 nearby settings also had positive recent stress returns. Nearby full-history NAV ranged from ৳262,794 to ৳443,253. This is parameter sensitivity on the same historical data, not independent validation.

1× modeled trading costs৳443,253
1.5× modeled trading costs৳408,239
2× modeled trading costs৳377,450
3× modeled trading costs৳322,271

1,105,920 grid accounts and 352 detailed finalist ledgers checked. Reconciliation failures: 0.

Choose profit with more trades

Jump to the highest historical NAV that meets a minimum completed-position count. The saved frontier covers this trade-off.

Profit versus completed positions

Each dot is a finalist. Horizontal = full-history completed positions; vertical = full-history net return. Select a dot to inspect it.

0% return343.3% net return0 positions465 positions

Teal: positive recent stress return. Rose: zero or negative recent stress return.

The trade count–profit frontier

These 72 grid candidates cannot be beaten on both historical NAV and completed positions by another grid candidate. More positions often reduce profit.

Compare every trade-off and open its fills
Completed positionsFull-history NAVRecent stress NAVInspect
465৳479৳19,237Rules & trades →
459৳570৳19,289Rules & trades →
455৳608৳30,525Rules & trades →
454৳696৳29,045Rules & trades →
452৳696৳19,289Rules & trades →
415৳713৳19,289Rules & trades →
411৳717৳19,289Rules & trades →
405৳1,133৳19,289Rules & trades →
404৳1,549৳19,289Rules & trades →
402৳1,771৳19,289Rules & trades →
372৳2,015৳19,289Rules & trades →
371৳2,622৳19,289Rules & trades →
363৳2,910৳19,289Rules & trades →
343৳2,924৳20,089Rules & trades →
335৳3,181৳47,792Rules & trades →
333৳4,607৳37,882Rules & trades →
329৳5,476৳37,882Rules & trades →
313৳5,574৳30,360Rules & trades →
310৳6,173৳43,102Rules & trades →
303৳8,989৳39,010Rules & trades →
300৳9,801৳38,916Rules & trades →
295৳12,981৳32,156Rules & trades →
292৳13,676৳41,873Rules & trades →
260৳13,883৳26,610Rules & trades →
259৳15,710৳26,610Rules & trades →
257৳15,781৳30,307Rules & trades →
256৳16,033৳45,581Rules & trades →
255৳19,080৳30,307Rules & trades →
208৳20,877৳36,159Rules & trades →
198৳22,131৳53,195Rules & trades →
196৳25,143৳33,095Rules & trades →
187৳33,566৳58,245Rules & trades →
186৳34,489৳53,071Rules & trades →
167৳35,171৳40,802Rules & trades →
165৳37,440৳37,845Rules & trades →
161৳42,263৳74,918Rules & trades →
158৳44,043৳78,126Rules & trades →
157৳53,519৳74,918Rules & trades →
154৳56,264৳44,128Rules & trades →
153৳62,778৳49,942Rules & trades →
147৳65,022৳64,084Rules & trades →
137৳73,649৳47,943Rules & trades →
136৳78,632৳50,001Rules & trades →
135৳80,826৳50,473Rules & trades →
129৳99,944৳52,622Rules & trades →
128৳100,941৳52,622Rules & trades →
119৳100,995৳43,038Rules & trades →
118৳101,946৳46,575Rules & trades →
117৳110,155৳49,557Rules & trades →
103৳133,375৳48,996Rules & trades →
102৳136,102৳55,284Rules & trades →
101৳138,379৳53,456Rules & trades →
98৳145,520৳54,043Rules & trades →
79৳150,242৳115,900Rules & trades →
78৳159,180৳120,816Rules & trades →
77৳160,935৳120,816Rules & trades →
76৳161,019৳120,816Rules & trades →
74৳181,538৳116,988Rules & trades →
73৳199,142৳121,853Rules & trades →
60৳200,452৳118,366Rules & trades →
48৳211,201৳128,871Rules & trades →
44৳221,072৳119,591Rules & trades →
39৳242,605৳130,354Rules & trades →
38৳272,593৳130,354Rules & trades →
37৳278,807৳126,439Rules & trades →
33৳291,973৳126,422Rules & trades →
32৳298,043৳122,630Rules & trades →
25৳341,394৳127,207Rules & trades →
24৳389,702৳129,084Rules & trades →
22৳402,891৳133,960Rules & trades →
17৳411,464৳119,509Rules & trades →
15৳443,253৳124,915Rules & trades →

#347 · Flow: Range flow

Full-history NAV৳713

Net return -99.3% · drawdown 99.3% · 415 closed positions

2024 onward NAV৳29,034

Net return -71.0% · drawdown 71.0% · 75 closed positions

2024 stress NAV৳19,289

Net return -80.7% · drawdown 80.7% · 53 closed positions

Variant 0; fixed stop 10.0%; maximum 5 sessions; gate None; continuous signal; exit EMA 200 break; trailing arms at 8.0%, distance 3.5%; partial sale at 0.0% (0 = off).

Account reconciliation

Cash৳236
Unsettled৳0
Holdings৳477
NAV৳713
Realized P&L৳-99,277
Unrealized P&L৳-10
Fees৳62,763
Friction৳28,774

NAV = cash + unsettled proceeds + marked holdings. Maximum reconciliation error: ৳1.55e-10. Normal replay: 0.44% commission plus 0.2% base friction per side, modeled impact and T+3. Stress doubles commission/base friction and uses T+5. These are research assumptions.

All fills for finalist #347

831 fills, including partial sales. Page 4.

DateSideSharesPriceFeesFrictionCash flowRealized P&L
2015-12-06BUY7127284.9739.05-19,436.030
2015-12-09SELL71257.680.4736.9318,172.2-1,263.83
2015-12-17BUY72251.279.5836.5-18,202.480
2015-12-22SELL7225580.7837.0718,242.1439.67
2016-01-03BUY72253.480.2836.95-18,362.030
2016-01-06SELL7225279.8336.8618,027.3-334.73
2016-01-11BUY7025478.2336.2-17,894.430
2016-01-14SELL70256.679.0336.5317,846.44-47.99
2016-01-19BUY68263.378.7836.33-18,019.510
2016-01-24SELL6826679.5936.5617,971.86-47.65
2016-01-27BUY6626877.8335.72-17,801.550
2016-02-01SELL6625774.6334.2316,853.14-948.41
2016-02-09BUY65258.673.9633.91-16,916.870
2016-02-14SELL65255.573.0733.4916,500.94-415.94
2016-02-17BUY6425672.0933.1-16,489.190
2016-02-23SELL6425972.9333.5116,469.55-19.63
2016-02-28BUY64256.272.1533.14-16,502.080
2016-03-02SELL64244.168.7431.5115,522.15-979.93
2016-03-07BUY6324668.1931.22-15,597.410
2016-03-10SELL6324467.6430.9715,273.39-324.02
2016-03-21BUY63240.566.6730.55-15,248.720
2016-03-24SELL63235.265.229.8814,722.52-526.2
2016-04-04BUY63233.164.6229.79-14,779.710
2016-04-07SELL63233.264.6429.8614,597.1-182.61
2016-04-20BUY6123763.6129.41-14,550.020
2016-04-25SELL6125067.130.9515,151.95601.92
2016-05-03BUY6124766.2930.53-15,163.830
2016-05-08SELL6124766.2930.514,970.2-193.63
2016-05-11BUY59252.165.4530.07-14,969.410
2016-05-16SELL5925265.4230.0514,772.53-196.88
2016-05-19BUY57254.663.8529.32-14,605.380
2016-05-25SELL57256.664.3629.5614,532.28-73.1
2016-05-30BUY5625763.3229.11-14,484.430
2016-06-02SELL56256.763.2529.0814,282.87-201.56
2016-06-07BUY56255.162.8628.9-14,377.360
2016-06-12SELL56255.262.8828.9114,199.41-177.95
2016-06-22BUY5625262.0928.59-14,202.680
2016-06-27SELL5625061.628.413,910-292.67
2016-06-30BUY55251.760.9128.01-13,932.430
2016-07-12SELL55255.861.928.4613,978.6346.21
2016-07-16BUY5425761.0628.08-13,967.140
2016-07-19SELL54259.461.6328.313,917.66-49.48
2016-07-24BUY5326361.3328.1-14,028.440
2016-07-28SELL53275.9964.3629.3914,533.72505.28
2016-08-07BUY52277.463.4728.97-14,517.240
2016-08-14SELL52272.562.3528.4514,079.2-438.04
2016-08-22BUY51270.560.727.71-13,883.910
2016-08-30SELL51264.759.427.1813,413.12-470.79
2016-09-04BUY51263.759.1727.11-13,534.990
2016-09-18SELL5126559.4727.313,428.23-106.75
2016-09-21BUY5126459.2427.24-13,550.480
2016-09-25SELL51267.159.9427.5913,534.57-15.91
2016-10-02BUY50268.559.0727.18-13,511.250
2016-10-09SELL50270.459.4927.3213,433.19-78.07
2016-10-16BUY49269.758.1526.71-13,300.150
2016-10-23SELL49277.559.8327.4213,510.25210.1
2016-11-02BUY48278.558.8226.92-13,453.740
2016-11-09SELL48281.359.4127.1713,415.82-37.92
2016-11-14BUY4828059.1427.04-13,526.180
2016-11-21SELL48287.160.6427.7113,692.45166.28
2016-11-24BUY4629259.126.99-13,518.090
2016-12-01SELL46283.957.4626.2312,975.71-542.39
2016-12-06BUY45287.95726.02-13,038.520
2016-12-14SELL4528356.0325.5812,653.39-385.13
2016-12-20BUY4428555.1825.2-12,620.370
2016-12-28SELL4428354.7925.0412,372.17-248.2
2017-01-04BUY43286.154.1324.73-12,381.160
2017-01-11SELL4328854.4924.8912,304.62-76.54
2017-01-17BUY42292.153.9824.64-12,346.820
2017-01-24SELL42298.555.1625.1712,456.67109.85
2017-01-29BUY41305.555.1125.12-12,605.730
2017-02-05SELL41306.555.2925.2112,486-119.74
2017-02-08BUY40304.653.6124.44-12,262.050
2017-02-15SELL4032056.3225.6812,718455.95
2017-02-20BUY40318.856.1125.59-12,833.690
2017-02-28SELL40308.254.2424.7512,249.01-584.68
2017-03-05BUY39311.953.5224.42-12,242.040
2017-03-12SELL39318.754.6924.9512,349.66107.63
2017-03-15BUY39317.854.5324.88-12,473.610
2017-03-22SELL3931453.8824.612,167.51-306.1
2017-03-28BUY38316.652.9424.18-12,107.920
2017-04-04SELL38349.958.526.713,210.991,103.07
2017-04-13BUY3834257.1826.09-13,079.280
2017-04-20SELL38336.956.3325.7112,720.16-359.11
2017-05-07BUY3734055.3525.33-12,660.680
2017-05-15SELL37335.654.6425.0112,337.56-323.13
2017-05-24BUY37331.153.924.68-12,329.280
2017-05-31SELL37329.253.5924.5812,102.22-227.06
2017-06-05BUY3633653.2224.39-12,173.610
2017-06-12SELL36330.952.412411,835.98-337.63
2017-06-19BUY3534052.3623.96-11,976.320
2017-06-29SELL3534152.5123.9911,858.5-117.83
2017-07-04BUY33351.150.9823.27-11,660.550
2017-07-11SELL33348.350.5723.0511,420.28-240.27
2017-07-16BUY31365.149.822.68-11,390.580
2017-07-23SELL31367.950.1822.8511,331.87-58.71
2017-07-26BUY3137150.623.04-11,574.650
2017-08-06SELL31373.250.923.1711,495.12-79.52
2017-08-10BUY30376.249.6622.61-11,358.270
2017-08-21SELL30391.551.6823.5411,669.78311.51