← 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: -13.2%. 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 →

#300 · MACD

Full-history NAV৳9,182

Net return -90.8% · drawdown 91.0% · 281 closed positions

2024 onward NAV৳73,630

Net return -26.4% · drawdown 42.2% · 47 closed positions

2024 stress NAV৳30,307

Net return -69.7% · drawdown 69.7% · 36 closed positions

Variant 3; fixed stop 4.0%; maximum 5 sessions; gate None; continuous signal; exit stop/time only; trailing arms at 2.0%, distance 1.0%; partial sale at 0.0% (0 = off).

Account reconciliation

Cash৳45
Unsettled৳9,137
Holdings৳0
NAV৳9,182
Realized P&L৳-90,818
Unrealized P&L৳0
Fees৳86,870
Friction৳40,106

NAV = cash + unsettled proceeds + marked holdings. Maximum reconciliation error: ৳4.37e-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 #300

562 fills, including partial sales. Page 3.

DateSideSharesPriceFeesFrictionCash flowRealized P&L
2015-07-22BUY1335.21.470.67-337.350
2015-08-02SELL13301.450.66327.89-9.46
2015-11-02BUY166249.8182.4584-41,733.250
2015-11-09SELL166249.3182.0984.0241,117.69-615.56
2015-11-12BUY163250179.382.81-41,012.110
2015-11-18SELL163252.95181.4184.1540,964.48-47.64
2015-11-23BUY160254.8179.3883.34-41,030.720
2015-11-30SELL160256.1180.2983.9940,711.72-319
2015-12-03BUY148272177.1382.38-40,515.510
2015-12-08SELL148257167.3677.637,791.04-2,724.47
2015-12-10BUY1252.71.110.51-254.320
2015-12-20SELL1250.71.10.5249.1-5.22
2015-12-22BUY147255164.9376.44-37,726.380
2015-12-29SELL147254164.2976.2237,097.5-628.88
2015-12-30BUY12531.110.51-254.620
2016-01-06SELL12521.110.5250.39-4.23
2016-01-07BUY145253.1161.4875.85-36,936.830
2016-01-12SELL145258.5164.9277.637,239.97303.15
2016-01-13BUY1255.41.120.51-257.030
2016-01-18SELL1259.51.140.52257.840.8
2016-01-19BUY141263.3163.3576.49-37,365.140
2016-01-24SELL141266165.0376.6537,264.32-100.82
2016-01-25BUY1266.21.170.53-267.90
2016-02-01SELL12571.130.51255.36-12.55
2016-04-10BUY160233164.0377.62-37,521.650
2016-04-13SELL160234164.7478.2837,196.99-324.67
2016-04-19BUY158233.6162.477.12-37,148.320
2016-04-24SELL158248.6172.8381.739,024.281,875.96
2016-04-27BUY154251170.0879.87-38,903.950
2016-05-05SELL154247167.3778.4637,792.17-1,111.78
2016-05-10BUY149253.4166.1377.66-38,000.390
2016-05-17SELL149252.2165.3477.1337,335.33-665.06
2016-05-22BUY145255.2162.8275.97-37,242.790
2016-05-30SELL145257163.9776.7137,024.32-218.47
2016-06-02BUY143256.7161.5275.53-36,945.150
2016-06-09SELL143255.1160.5175.1336,243.66-701.49
2016-07-14BUY140257158.3174.18-36,212.50
2016-07-20SELL140263162.0175.4936,582.5370.01
2016-07-25BUY137265.2159.8674.18-36,566.440
2016-07-28SELL137284171.278.7938,658.022,091.58
2016-08-02BUY140275.5169.7178.05-38,817.760
2016-08-10SELL140267.9165.0375.837,265.17-1,552.59
2016-09-29BUY137269162.1576.33-37,091.490
2016-10-06SELL137272163.9676.6937,023.35-68.14
2016-10-13BUY137269162.1575.82-37,090.970
2016-10-20SELL137277.8167.4677.9237,813.22722.25
2016-10-25BUY132285165.5376.75-37,862.280
2016-10-31SELL132273.6158.9173.5635,882.74-1,979.54
2016-11-03BUY128278.1156.6372.43-35,825.860
2016-11-10SELL128279.1157.1972.6135,495-330.86
2016-11-20BUY125282.5155.3871.64-35,539.510
2016-11-23SELL125288.6158.7373.1335,843.14303.63
2016-11-28BUY125286157.372.36-35,979.660
2016-12-05SELL125284156.271.8435,271.96-707.7
2017-01-09BUY120290153.1270.58-35,023.70
2017-01-16SELL120290153.1270.4934,576.39-447.31
2017-01-19BUY116297151.5969.68-34,673.270
2017-01-25SELL116304.92155.6371.3835,143.7470.44
2017-01-30BUY115303153.3270.23-35,068.550
2017-02-05SELL115306.5155.0971.0935,021.32-47.23
2017-02-08BUY115304.6154.1370.66-35,253.790
2017-02-15SELL115320161.9274.2936,563.791,310
2017-02-20BUY114318.8159.9173.35-36,576.460
2017-02-28SELL114308.2154.5971.0134,909.2-1,667.26
2017-03-30BUY105330152.4670.25-34,872.710
2017-04-04SELL105346.5160.0873.636,148.821,276.1
2017-04-09BUY104345157.8772.5-36,110.370
2017-04-16SELL104340155.5871.4835,132.93-977.44
2017-06-08BUY104335.9153.7171.51-35,158.820
2017-06-15SELL104333152.3870.7734,408.85-749.97
2017-06-22BUY101338.8150.5669.6-34,438.960
2017-07-04SELL101351.1156.0371.8235,233.25794.29
2017-07-09BUY102340.5152.8270.1-34,953.920
2017-07-12SELL102347155.7371.3735,166.39212.47
2017-07-17BUY95370.9155.0470.88-35,461.410
2017-07-24SELL95367153.4170.0934,641.51-819.91
2017-07-27BUY91375.5150.3568.67-34,389.520
2017-08-06SELL91373.2149.4368.2433,743.54-645.99
2017-08-09BUY89376.5147.4467.36-33,723.30
2017-08-20SELL89391.6153.3570.1634,628.89905.59
2017-08-23BUY88390.5151.269.21-34,584.410
2017-08-30SELL88390.5151.269.2934,143.51-440.9
2017-09-10BUY8340814968.32-34,081.320
2017-09-13SELL83415151.5669.434,224.04142.72
2017-09-18BUY82414.5149.5568.46-34,207.010
2017-09-25SELL82410.4148.0767.7733,436.96-770.05
2017-10-12BUY78430147.5867.6-33,755.170
2017-10-19SELL78420144.1466.1232,549.74-1,205.44
2017-10-25BUY73440141.3364.71-32,326.040
2017-10-30SELL73442141.9765.0232,059.01-267.03
2017-11-02BUY73438.2140.7564.49-32,193.840
2017-11-07SELL73443.62142.4965.2732,176.43-17.41
2017-11-12BUY70457.5140.9164.51-32,230.420
2017-11-15SELL7050015470.4134,775.592,545.18
2017-11-20BUY70489.5150.7768.87-34,484.640
2017-11-27SELL70479.2147.5967.4233,328.99-1,155.65
2018-01-08BUY70478.4147.3567.53-33,702.880
2018-01-15SELL70477146.9267.3733,175.72-527.17
2018-01-21BUY68484144.8166.34-33,123.150
2018-01-25SELL68504.9151.0769.0934,113.04989.89