← 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: -16.7%. 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 →

#314 · MACD

Full-history NAV৳4,581

Net return -95.4% · drawdown 95.5% · 296 closed positions

2024 onward NAV৳48,028

Net return -52.0% · drawdown 52.0% · 58 closed positions

2024 stress NAV৳24,105

Net return -75.9% · drawdown 75.9% · 43 closed positions

Variant 1; fixed stop 4.0%; maximum 10 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৳13
Unsettled৳4,568
Holdings৳0
NAV৳4,581
Realized P&L৳-95,419
Unrealized P&L৳0
Fees৳73,472
Friction৳33,810

NAV = cash + unsettled proceeds + marked holdings. Maximum reconciliation error: ৳1.05e-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 #314

592 fills, including partial sales. Page 3.

DateSideSharesPriceFeesFrictionCash flowRealized P&L
2015-11-25BUY145252160.7874.6-36,775.370
2015-11-30SELL145256.1163.3975.9436,895.17119.8
2015-12-03BUY135272161.5775-36,956.570
2015-12-08SELL135257152.6670.6634,471.68-2,484.89
2015-12-24BUY135253.5150.5869.67-34,442.750
2015-12-29SELL135254150.8869.8834,069.24-373.5
2016-01-03BUY134253.4149.469.51-34,174.520
2016-01-06SELL134252148.5869.5333,549.89-624.62
2016-01-11BUY131254146.4168.77-33,489.180
2016-01-14SELL131256.6147.969.3633,397.34-91.84
2016-01-19BUY126263.3145.9768.14-33,389.910
2016-01-24SELL126266147.4768.3433,300.19-89.72
2016-01-27BUY123268145.0467.14-33,176.180
2016-02-01SELL123257139.0964.2831,407.63-1,768.55
2016-02-23BUY121259137.8963.96-31,540.850
2016-02-28SELL121256.2136.463.2330,800.57-740.28
2016-03-21BUY127240.5134.3962.1-30,739.990
2016-03-24SELL127235.2131.4360.7529,678.22-1,061.77
2016-04-04BUY127233.1130.2660.92-29,794.880
2016-04-07SELL127233.2130.3161.1529,424.93-369.94
2016-04-12BUY125233.8128.5960.33-29,413.920
2016-04-18SELL125235.9129.7561.1529,296.61-117.31
2016-04-21BUY120243128.360.24-29,348.540
2016-04-26SELL120251.913362.0630,032.94684.4
2016-05-02BUY121245130.4460.71-29,836.150
2016-05-05SELL121247131.561.2529,694.25-141.9
2016-05-10BUY117253.4130.4560.62-29,838.870
2016-05-15SELL117251.1129.2759.9829,189.45-649.42
2016-05-24BUY113256.7127.6359.23-29,193.960
2016-05-29SELL113255.2126.8958.9628,651.75-542.21
2016-06-30BUY113251.7125.1558.27-28,625.510
2016-07-12SELL113255.8127.1859.1828,719.0493.52
2016-07-16BUY111257125.5258.41-28,710.930
2016-07-19SELL111259.4126.6958.828,607.91-103.02
2016-07-24BUY108263124.9857.75-28,586.720
2016-07-28SELL108280.28133.1961.1330,075.921,489.2
2016-08-02BUY108275.5130.9260.05-29,944.970
2016-08-17SELL108272129.2559.2229,187.52-757.44
2016-09-06BUY109268128.5359.51-29,400.040
2016-09-20SELL109262125.6658.5428,373.81-1,026.23
2016-09-25BUY105267.1123.457.55-28,226.450
2016-10-09SELL105270.4124.9258.0428,209.04-17.41
2016-10-19BUY102275123.4257.24-28,230.660
2016-11-02SELL102278.5124.9957.6328,224.38-6.29
2016-11-09BUY100281.3123.7756.99-28,310.770
2016-11-23SELL100288.6126.9858.3528,674.67363.9
2016-11-28BUY99286124.5857.17-28,495.750
2016-12-12SELL99284123.7156.7427,935.55-560.2
2017-01-05BUY96290122.556.32-28,018.820
2017-01-19SELL96297125.4557.5528,328.99310.18
2017-01-24BUY94298.5123.4656.57-28,239.030
2017-02-07SELL94303.8125.6557.5128,374.04135.01
2017-02-12BUY92307.1124.3156.93-28,434.440
2017-02-27SELL92315.1127.5558.4728,803.18368.74
2017-03-09BUY90316.9125.4957.53-28,704.020
2017-03-23SELL90317125.5357.7128,346.76-357.26
2017-03-30BUY86330124.8757.4-28,562.270
2017-04-05SELL86345.84130.8759.9729,551.57989.3
2017-04-10BUY86342.1129.4559.36-29,609.410
2017-04-19SELL86328.42124.2756.9728,062.53-1,546.88
2017-05-28BUY83334121.9856.51-27,900.490
2017-06-11SELL83333.3121.7256.3127,485.87-414.62
2017-06-21BUY81335.8119.6855.2-27,374.680
2017-07-06SELL81349.57124.5957.1328,133.13758.45
2017-07-16BUY77365.1123.756.5-28,292.90
2017-07-30SELL77376.7127.6358.2528,820.03527.13
2017-08-17BUY74388126.3357.73-28,896.070
2017-08-31SELL74391127.3158.2728,748.42-147.64
2017-09-07BUY72396.9125.7457.6-28,760.140
2017-09-12SELL72420133.0660.8830,046.061,285.93
2017-09-17BUY71418130.5859.72-29,868.30
2017-10-02SELL71412.3128.858.8729,085.63-782.67
2017-10-10BUY69422128.1258.61-29,304.730
2017-10-24SELL69431.3130.9459.9729,568.79264.06
2017-10-29BUY65445.3127.3658.28-29,130.130
2017-11-12SELL65457.5130.8559.8729,546.79416.65
2017-11-15BUY59500129.859.29-29,689.090
2017-11-20SELL59489.5127.075828,695.42-993.67
2017-12-06BUY59487126.4357.67-28,917.10
2017-12-14SELL59467.52121.3755.4327,406.89-1,510.21
2017-12-28BUY58469.4119.7954.75-27,399.740
2018-01-14SELL58477121.7355.7327,488.5488.8
2018-01-17BUY57477.2119.6854.73-27,374.810
2018-01-28SELL57501.76125.8457.4828,4171,042.19
2018-01-31BUY56506.9124.957.01-28,568.310
2018-02-14SELL56508.8125.3757.2228,310.21-258.1
2018-03-07BUY57487.9122.3756-27,988.660
2018-03-22SELL57477119.6354.8827,014.49-974.17
2018-04-03BUY57477119.6354.86-27,363.490
2018-04-17SELL57485121.6455.7927,467.58104.08
2018-04-22BUY55490118.5854.37-27,122.950
2018-04-25SELL55470.4113.8452.1325,706.03-1,416.92
2018-05-15BUY55466112.7751.55-25,794.330
2018-05-20SELL55445107.6949.2124,318.1-1,476.22
2018-05-30BUY57428.4107.4449.17-24,575.410
2018-06-04SELL57405101.5746.4622,936.96-1,638.45
2018-06-21BUY5938599.9545.65-22,860.590
2018-06-26SELL59404104.8847.8723,683.25822.66
2018-07-02BUY60390.1102.9946.98-23,555.970
2018-07-05SELL6037899.7945.5322,534.68-1,021.29