← Strategy Research Lab
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: -20.3%. 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 →

#333 · MACD

Full-history NAV৳2,154

Net return -97.8% · drawdown 97.9% · 324 closed positions

2024 onward NAV৳44,280

Net return -55.7% · drawdown 55.8% · 61 closed positions

2024 stress NAV৳22,242

Net return -77.8% · drawdown 77.8% · 46 closed positions

Variant 1; fixed stop 10.0%; maximum 5 sessions; gate None; continuous signal; exit EMA 200 break; trailing arms at 5.0%, distance 2.0%; partial sale at 0.0% (0 = off).

Account reconciliation

Cash৳230
Unsettled৳1,924
Holdings৳0
NAV৳2,154
Realized P&L৳-97,846
Unrealized P&L৳0
Fees৳64,103
Friction৳29,464

NAV = cash + unsettled proceeds + marked holdings. Maximum reconciliation error: ৳5.82e-11. 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 #333

648 fills, including partial sales. Page 3.

DateSideSharesPriceFeesFrictionCash flowRealized P&L
2015-07-13BUY96346.9146.5367-33,515.930
2015-07-26SELL96340143.6265.6132,430.77-1,085.16
2015-08-24BUY102316.5142.0564.99-32,490.040
2015-08-27SELL102321.5144.2966.1132,582.692.56
2015-09-01BUY103316.1143.2665.7-32,767.260
2015-09-06SELL103314.1142.3565.3932,144.56-622.7
2015-09-09BUY102313.2140.5664.62-32,151.580
2015-09-14SELL102307.1137.8363.3331,123.05-1,028.53
2015-10-21BUY119258.9135.5662.09-31,006.750
2015-10-27SELL119250130.959.9529,559.15-1,447.6
2015-11-01BUY117250.8129.1159.21-29,531.920
2015-11-04SELL117249128.1958.8128,946.01-585.91
2015-11-09BUY116249.3127.2458.45-29,104.490
2015-11-12SELL116250127.658.6628,813.74-290.76
2015-11-17BUY114250.5125.6557.87-28,740.520
2015-11-22SELL114252.2126.558.4128,565.88-174.64
2015-11-25BUY112252124.1957.35-28,405.540
2015-11-30SELL112256.1126.2158.3628,498.6393.09
2015-12-03BUY105272125.6658.06-28,743.730
2015-12-08SELL105257118.7354.7426,811.53-1,932.2
2015-12-24BUY105253.5117.1253.97-26,788.590
2015-12-29SELL105254117.3554.1326,498.53-290.07
2016-01-03BUY104253.4115.9653.67-26,523.230
2016-01-06SELL104252115.3253.6226,039.07-484.16
2016-01-11BUY101254112.8852.63-25,819.510
2016-01-14SELL101256.6114.0353.125,749.47-70.04
2016-01-19BUY97263.3112.3852.14-25,704.620
2016-01-24SELL97266113.5352.3825,636.09-68.52
2016-01-27BUY96268113.252.19-25,893.40
2016-02-01SELL96257108.5649.9924,513.45-1,379.94
2016-02-23BUY94259107.1249.47-24,502.590
2016-02-28SELL94256.2105.9648.9123,927.93-574.66
2016-03-21BUY98240.5103.747.74-23,720.440
2016-03-24SELL98235.2101.4246.722,901.48-818.96
2016-04-04BUY98233.1100.5146.71-22,991.020
2016-04-07SELL98233.2100.5646.8522,706.19-284.83
2016-04-12BUY97233.899.7946.49-22,824.880
2016-04-18SELL97235.9100.6847.0722,734.55-90.33
2016-04-21BUY9324399.4446.35-22,744.780
2016-04-26SELL93251.9103.0847.8223,275.81531.02
2016-05-02BUY94245101.3346.92-23,178.250
2016-05-05SELL94247102.1647.3323,068.52-109.74
2016-05-10BUY90253.4100.3546.4-22,952.740
2016-05-15SELL90251.199.4445.9222,453.64-499.1
2016-05-24BUY87256.798.2645.39-22,476.550
2016-05-29SELL87255.297.6945.1722,059.54-417.01
2016-06-30BUY87251.796.3544.62-22,038.870
2016-07-12SELL87255.897.9245.3222,111.3672.49
2016-07-16BUY8625797.2545.02-22,244.270
2016-07-19SELL86259.498.1645.3522,164.9-79.37
2016-07-24BUY8426397.244.75-22,233.960
2016-07-28SELL84280.28103.5947.4423,392.491,158.53
2016-08-02BUY84275.5101.8246.61-23,290.440
2016-08-10SELL84267.999.0245.2922,359.29-931.14
2016-09-06BUY8326897.8745.11-22,386.990
2016-09-20SELL8326295.6844.3221,606-780.99
2016-09-25BUY80267.194.0243.58-21,505.60
2016-10-02SELL80268.594.5143.8221,341.67-163.93
2016-10-05BUY78273.99443.44-21,501.640
2016-10-16SELL78269.792.5642.7720,901.26-600.38
2016-10-19BUY7527590.7541.87-20,757.620
2016-10-26SELL7528092.442.4620,865.14107.52
2016-11-09BUY74281.391.5942.03-20,949.830
2016-11-16SELL74279.891.141.7920,572.3-377.52
2016-11-21BUY71287.189.6941.1-20,514.890
2016-11-28SELL7128689.3540.8920,175.76-339.13
2016-12-11BUY7028788.440.44-20,218.840
2016-12-19SELL70285.287.8440.2219,835.94-382.9
2017-01-05BUY6829086.7739.76-19,846.530
2017-01-12SELL68290.786.9839.8419,640.78-205.75
2017-01-17BUY67292.186.1139.4-19,696.210
2017-01-24SELL67298.58840.2319,871.27175.06
2017-01-29BUY64305.586.0339.28-19,677.310
2017-02-05SELL64306.586.3139.4219,490.27-187.03
2017-02-12BUY63307.185.1338.89-19,471.320
2017-02-19SELL6332088.740.5320,030.77559.45
2017-03-09BUY63316.987.8440.17-20,092.710
2017-03-16SELL63315.287.3739.9519,730.27-362.44
2017-03-30BUY5933085.6739.24-19,594.910
2017-04-05SELL59345.8489.7841.0420,273.86678.95
2017-04-10BUY59342.188.8140.61-20,313.320
2017-04-17SELL5933787.4940.0119,755.51-557.81
2017-05-28BUY5933486.7139.95-19,832.660
2017-06-04SELL59333.586.5839.8819,550.04-282.61
2017-06-07BUY58337.986.2339.71-19,724.150
2017-06-14SELL58331.584.638.9119,103.49-620.66
2017-06-21BUY56335.882.7437.99-18,925.530
2017-07-03SELL56344.584.8838.8719,168.25242.72
2017-07-06BUY54355.484.4438.61-19,314.660
2017-07-13SELL54354.884.338.4819,036.42-278.24
2017-07-18BUY51370.983.2337.95-19,037.080
2017-07-25SELL5136982.837.7418,698.45-338.62
2017-07-30BUY49376.781.2237.01-18,576.530
2017-08-06SELL49373.280.4636.6618,169.67-406.85
2017-08-17BUY4738880.2436.6-18,352.830
2017-08-24SELL47388.480.3236.6418,137.84-215
2017-09-07BUY45396.978.5935.9-17,974.980
2017-09-12SELL4542083.1637.9618,778.88803.9
2017-09-17BUY4541882.7637.77-18,930.530
2017-09-24SELL45411.281.4237.1518,385.44-545.09