← 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: -12.0%. 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 →

#296 · Support rebound

Full-history NAV৳11,453

Net return -88.5% · drawdown 91.0% · 197 closed positions

2024 onward NAV৳54,664

Net return -45.3% · drawdown 45.9% · 41 closed positions

2024 stress NAV৳35,788

Net return -64.2% · drawdown 64.3% · 39 closed positions

Variant 3; fixed stop 22.0%; maximum 10 sessions; gate None; continuous signal; exit stop/time only; trailing arms at 8.0%, distance 3.5%; partial sale at 0.0% (0 = off).

Account reconciliation

Cash৳194
Unsettled৳11,259
Holdings৳0
NAV৳11,453
Realized P&L৳-88,547
Unrealized P&L৳0
Fees৳62,762
Friction৳29,084

NAV = cash + unsettled proceeds + marked holdings. Maximum reconciliation error: ৳6.37e-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 #296

394 fills, including partial sales. Page 2.

DateSideSharesPriceFeesFrictionCash flowRealized P&L
2015-05-27BUY148329.9214.8398.95-49,138.980
2015-06-11SELL148325211.649747,791.36-1,347.62
2015-06-16BUY143332.6209.2795.81-47,866.880
2015-06-30SELL143326205.1293.9846,318.9-1,547.98
2015-07-06BUY140328.2202.1792.7-46,242.870
2015-07-26SELL140340209.4495.9147,294.651,051.79
2015-08-02BUY142330206.1894.34-47,160.520
2015-08-16SELL142316.919890.6144,711.19-2,449.34
2015-08-17BUY1316.61.390.63-318.630
2015-08-31SELL1317.21.40.63315.17-3.46
2015-09-01BUY140316.1194.7289.59-44,538.310
2015-09-15SELL140307.4189.3687.4342,759.21-1,779.1
2015-09-16BUY1308.31.360.62-310.270
2015-10-05SELL12821.240.56280.2-30.08
2015-10-12BUY160267187.9786.36-42,994.330
2015-10-27SELL16025017680.8239,743.18-3,251.15
2015-11-05BUY160248174.5980.39-39,934.990
2015-11-19SELL160250.7176.4981.8839,853.62-81.36
2015-11-24BUY156252.9173.5980.68-39,706.670
2015-12-07SELL156266.05182.628541,236.261,529.59
2015-12-10BUY162252.7180.1283.58-41,201.110
2015-12-27SELL162254181.0584.0740,882.87-318.23
2015-12-30BUY161253179.2383.4-40,995.630
2016-01-13SELL161255.4180.9385.4940,852.98-142.65
2016-01-18BUY156259.5178.1283.74-40,743.860
2016-02-01SELL156257176.481.8939,833.7-910.15
2016-02-04BUY153258.7174.1680.81-39,836.070
2016-02-18SELL153256172.3480.3638,915.3-920.77
2016-02-24BUY151256.5170.4279.34-38,981.260
2016-03-09SELL151245.5163.1175.4136,831.98-2,149.28
2016-03-14BUY151243161.4574.81-36,929.260
2016-03-29SELL151230.4153.0871.0534,566.27-2,362.99
2016-04-04BUY147233.1150.7770.83-34,487.30
2016-04-19SELL147233.6151.0971.5434,116.57-370.73
2016-06-02BUY132256.7149.0969.57-34,103.070
2016-06-16SELL132255.6148.4569.2233,521.53-581.54
2016-06-22BUY132252146.3668.54-33,478.90
2016-07-13SELL132256.8149.1569.9233,678.53199.63
2016-07-17BUY131256.2147.6768.97-33,778.840
2016-07-28SELL131275.99159.0873.1535,922.462,143.62
2016-08-22BUY132270.5157.1172.18-35,935.290
2016-09-06SELL132268155.6572.3435,148.01-787.28
2016-09-18BUY132265153.9171.76-35,205.680
2016-09-29SELL132269156.2473.4635,278.3172.63
2016-10-04BUY129271153.8272.07-35,184.890
2016-10-20SELL129277.8157.6873.2735,605.25420.36
2016-10-27BUY126279.9155.1871.81-35,494.390
2016-11-10SELL126279.1154.7371.4634,940.41-553.99
2016-11-15BUY125279.1153.5170.82-35,111.830
2016-11-29SELL125285.2156.8672.1635,420.98309.15
2016-12-04BUY124283.3154.5771.08-35,354.850
2016-12-19SELL124285.2155.6171.6435,137.56-217.29
2016-12-22BUY122286.1153.5870.78-35,128.560
2017-01-08SELL122288154.671.2834,910.13-218.43
2017-01-11BUY120288152.0670.06-34,782.130
2017-01-25SELL120306.3161.7374.2136,520.071,737.94
2017-02-27BUY115315.1159.4473.24-36,469.190
2017-03-13SELL115318.4161.117436,380.89-88.29
2017-03-16BUY115315.2159.4973.29-36,480.780
2017-04-02SELL115332.2168.0977.5137,957.41,476.62
2017-04-30BUY112337.1166.1276.5-37,997.830
2017-05-16SELL112332163.6175.8736,944.52-1,053.3
2017-05-21BUY110334.9162.0975.16-37,076.250
2017-06-04SELL110333.5161.4175.236,448.39-627.86
2017-06-07BUY107337.9159.0874.08-36,388.460
2017-06-21SELL107335.8158.0973.2535,699.25-689.21
2017-06-29BUY104341156.0472-35,692.040
2017-07-13SELL104354.8162.3674.4136,662.44970.4
2017-10-10BUY86422159.6873.17-36,524.850
2017-10-24SELL86431.3163.274.8836,853.72328.87
2017-12-10BUY77478.3162.0574.02-37,065.170
2017-12-24SELL77460.1155.8871.3435,200.48-1,864.69
2017-12-28BUY74469.4152.8469.96-34,958.390
2018-01-14SELL74477155.3171.2535,071.44113.05
2018-01-17BUY73477.2153.2870.21-35,059.090
2018-01-31SELL73506.9162.8274.4236,766.471,707.38
2018-02-22BUY74494.9161.1473.64-36,857.380
2018-03-08SELL74489159.2273.0335,953.75-903.62
2018-03-13BUY74482.3157.0472.06-35,919.30
2018-03-28SELL74467.2152.1269.9234,350.76-1,568.54
2018-04-02BUY72474.9150.4569.18-34,412.430
2018-04-16SELL72484.2153.3970.5134,638.49226.07
2018-04-24BUY71485151.5169.53-34,656.050
2018-05-13SELL71466145.5866.6332,873.79-1,782.26
2018-05-16BUY70463.1142.6365.31-32,624.950
2018-05-30SELL70428.4131.9560.4729,795.58-2,829.37
2018-06-05BUY73409131.3760.21-30,048.590
2018-06-24SELL73405130.0959.4629,375.46-673.13
2018-07-02BUY75390.1128.7358.78-29,445.020
2018-07-16SELL75390128.758.829,062.5-382.52
2018-07-26BUY74391127.3158.28-29,119.590
2018-08-09SELL74374.2121.8455.8127,513.15-1,606.44
2018-08-14BUY76359.6120.2555.05-27,504.90
2018-09-04SELL76385.6128.9459.2829,117.371,612.47
2018-09-17BUY78369126.6458.35-28,9670
2018-10-01SELL78372.4127.8158.828,860.59-106.4
2018-10-07BUY79365.1126.9158.34-29,028.150
2018-10-21SELL79363.2126.2558.0728,508.49-519.67
2018-10-24BUY76372124.457.23-28,453.630
2018-11-07SELL76375125.457.7528,316.85-136.77