← 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: -18.5%. 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 →

#321 · MACD

Full-history NAV৳3,165

Net return -96.8% · drawdown 96.9% · 308 closed positions

2024 onward NAV৳44,680

Net return -55.3% · drawdown 55.4% · 57 closed positions

2024 stress NAV৳27,144

Net return -72.9% · drawdown 72.9% · 42 closed positions

Variant 1; fixed stop 8.0%; maximum 15 sessions; gate None; continuous signal; exit EMA 200 break; trailing arms at 2.0%, distance 1.0%; partial sale at 0.0% (0 = off).

Account reconciliation

Cash৳39
Unsettled৳3,126
Holdings৳0
NAV৳3,165
Realized P&L৳-96,835
Unrealized P&L৳0
Fees৳69,000
Friction৳31,733

NAV = cash + unsettled proceeds + marked holdings. Maximum reconciliation error: ৳1.86e-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 #321

616 fills, including partial sales. Page 3.

DateSideSharesPriceFeesFrictionCash flowRealized P&L
2015-07-02BUY114330.1165.5875.78-37,872.760
2015-07-08SELL114328164.5275.337,152.18-720.58
2015-07-13BUY107346.9163.3274.72-37,356.340
2015-08-03SELL107328.5154.6670.6334,924.21-2,432.14
2015-08-24BUY109316.5151.7969.49-34,719.780
2015-08-27SELL109321.5154.1970.6934,818.6298.84
2015-09-01BUY110316.1152.9970.21-34,994.20
2015-09-06SELL110314.1152.0269.8834,329.1-665.11
2015-09-09BUY109313.2150.2169.1-34,358.120
2015-09-14SELL109307.1147.2967.7233,258.89-1,099.22
2015-10-21BUY127258.9144.6766.3-33,091.270
2015-10-27SELL127250139.764.0131,546.29-1,544.99
2015-11-01BUY125250.8137.9463.29-31,551.230
2015-11-04SELL125249136.9562.8730,925.18-626.05
2015-11-09BUY124249.3136.0262.52-31,111.740
2015-11-12SELL124250136.462.7630,800.84-310.9
2015-11-17BUY122250.5134.4761.99-30,757.460
2015-11-22SELL122252.2135.3862.5830,570.44-187.02
2015-11-25BUY120252133.0661.52-30,434.570
2015-11-30SELL120256.1135.2262.6130,534.1799.6
2015-12-03BUY112272134.0462-30,660.040
2015-12-08SELL112257126.6558.4428,598.91-2,061.14
2015-12-24BUY112253.5124.9257.63-28,574.550
2015-12-29SELL112254125.1757.7928,265.04-309.51
2016-01-03BUY111253.4123.7657.35-28,308.510
2016-01-06SELL111252123.0857.3127,791.61-516.9
2016-01-11BUY108254120.756.38-27,609.080
2016-01-14SELL108256.6121.9456.8727,533.99-75.09
2016-01-19BUY104263.3120.4955.98-27,559.670
2016-01-24SELL104266121.7256.2227,486.06-73.61
2016-01-27BUY102268120.2855.5-27,511.780
2016-02-01SELL102257115.3453.1626,045.5-1,466.28
2016-02-23BUY100259113.9652.68-26,066.640
2016-02-28SELL100256.2112.7352.0825,455.19-611.44
2016-03-21BUY105240.5111.1151.2-25,414.810
2016-03-24SELL105235.2108.6650.0824,537.26-877.55
2016-04-04BUY105233.1107.6950.12-24,633.320
2016-04-07SELL105233.2107.7450.2824,327.98-305.34
2016-04-12BUY103233.8105.9649.44-24,236.80
2016-04-18SELL103235.9106.9150.0724,140.72-96.08
2016-04-21BUY99243105.8549.42-24,212.270
2016-04-26SELL99251.9109.7350.9724,777.41565.14
2016-05-02BUY100245107.849.97-24,657.770
2016-05-05SELL100247108.6850.4124,540.91-116.86
2016-05-10BUY97253.4108.1550.07-24,738.020
2016-05-15SELL97251.1107.1749.5524,199.98-538.04
2016-05-24BUY93256.7105.0448.57-24,026.710
2016-05-29SELL93255.2104.4348.3423,580.83-445.88
2016-06-30BUY93251.710347.75-23,558.850
2016-07-12SELL93255.8104.6748.5123,636.2277.37
2016-07-16BUY92257104.0348.22-23,796.250
2016-07-19SELL92259.4105.0148.5623,711.23-85.02
2016-07-24BUY89263102.9947.45-23,557.440
2016-07-27SELL89278108.865024,583.131,025.69
2016-08-01BUY89276.6108.3249.59-24,775.310
2016-08-23SELL89270.2105.8148.4523,893.54-881.77
2016-09-06BUY88268103.7747.87-23,735.640
2016-09-20SELL88262101.4547.0422,907.52-828.13
2016-09-25BUY85267.199.946.36-22,849.760
2016-10-05SELL85271.46101.5346.9822,925.4375.67
2016-10-10BUY85269.8100.9146.68-23,080.590
2016-10-25SELL85282.15105.5248.5823,828.65748.06
2016-10-30BUY85277103.647.66-23,696.250
2016-11-09SELL85280.67104.9748.2423,703.317.06
2016-11-20BUY84282.5104.4147.92-23,882.330
2016-11-23SELL84288.6106.6748.9324,086.8204.48
2016-11-28BUY83286104.4547.86-23,890.30
2016-12-20SELL83285104.0847.7223,503.2-387.11
2017-01-05BUY81290103.3647.44-23,640.790
2017-01-19SELL81296.7105.7448.4423,878.76237.96
2017-01-24BUY79298.5103.7647.49-23,732.740
2017-01-29SELL79305.5106.1948.5323,979.77247.03
2017-02-02BUY78306.5105.1948.09-24,060.280
2017-02-15SELL78317.2108.8649.824,582.63522.35
2017-02-20BUY77318.8108.0149.4-24,705.010
2017-03-14SELL77317.9107.749.324,321.29-383.71
2017-03-30BUY7333010648.64-24,244.640
2017-04-04SELL73346.5111.350.9925,132.21887.58
2017-04-09BUY72345109.350.03-24,999.330
2017-04-30SELL72337.1106.7948.9524,115.45-883.88
2017-05-28BUY72334105.8148.9-24,202.710
2017-06-18SELL72331.1104.8948.3523,685.96-516.75
2017-06-21BUY70335.8103.4347.61-23,657.030
2017-07-06SELL70353.13108.7649.8224,560.72903.69
2017-07-16BUY67365.1107.6349.13-24,618.470
2017-07-19SELL67365.1107.6349.1124,304.96-313.51
2017-07-24BUY66367106.5848.62-24,377.190
2017-07-30SELL66376.7109.3949.924,702.91325.72
2017-08-17BUY63388107.5549.11-24,600.670
2017-09-06SELL63399.76110.8150.7225,023.47422.81
2017-09-11BUY58430109.7450.16-25,099.90
2017-10-03SELL58410104.6347.7723,627.59-1,472.3
2017-10-10BUY55422102.1246.66-23,358.780
2017-10-15SELL55429103.8247.4623,443.7284.94
2017-10-24BUY54431.3102.4846.85-23,439.530
2017-10-29SELL54445.3105.848.3623,892.04452.51
2017-11-09BUY52457104.5647.78-23,916.340
2017-11-14SELL52490.05112.1251.2225,319.261,402.92
2017-11-19BUY52489111.8851.04-25,590.930
2017-12-10SELL52478.3109.4449.9124,712.26-878.67