← 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: -15.9%. 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 →

#310 · MACD

Full-history NAV৳5,307

Net return -94.7% · drawdown 94.8% · 292 closed positions

2024 onward NAV৳61,415

Net return -38.6% · drawdown 55.2% · 60 closed positions

2024 stress NAV৳35,369

Net return -64.6% · drawdown 69.7% · 41 closed positions

Variant 0; fixed stop 4.0%; 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৳17
Unsettled৳5,290
Holdings৳0
NAV৳5,307
Realized P&L৳-94,693
Unrealized P&L৳0
Fees৳78,016
Friction৳35,960

NAV = cash + unsettled proceeds + marked holdings. Maximum reconciliation error: ৳5.46e-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 #310

584 fills, including partial sales. Page 3.

DateSideSharesPriceFeesFrictionCash flowRealized P&L
2015-11-11BUY153251168.9777.93-38,649.910
2015-11-16SELL153249.5167.9677.6637,927.87-722.04
2015-11-19BUY151250.7166.5777.19-38,099.450
2015-11-24SELL151252.9168.0378.0437,941.84-157.62
2015-11-29BUY147255.8165.4576.93-37,844.980
2015-12-02SELL147271.1175.3581.739,594.661,749.68
2015-12-07BUY147267.4172.9580.41-39,561.160
2015-12-10SELL147252.7163.4575.736,907.75-2,653.41
2016-01-04BUY144254.5161.2575.26-36,884.510
2016-01-07SELL144253.1160.3675.3136,210.73-673.78
2016-01-12BUY139258.5158.174.29-36,163.890
2016-01-17SELL139257157.1873.7935,492.03-671.85
2016-01-20BUY129274155.5272.32-35,573.840
2016-01-25SELL129266.2151.170.0234,118.68-1,455.16
2016-01-28BUY128265149.2569.11-34,138.360
2016-02-02SELL128256.3144.3566.7432,595.31-1,543.04
2016-04-06BUY139232.5142.266.89-32,526.590
2016-04-11SELL139234.5143.4267.5432,384.54-142.04
2016-04-17BUY138234142.0867.13-32,501.210
2016-04-20SELL138237143.9167.9632,494.13-7.08
2016-04-25BUY129250141.966.52-32,458.420
2016-04-28SELL129250.5142.1866.3732,105.95-352.47
2016-05-04BUY130246140.7165.71-32,186.420
2016-05-09SELL130249.8142.8966.6332,264.4878.06
2016-05-12BUY127251.1140.3165.24-32,095.260
2016-05-17SELL127252.2140.9365.4931,822.98-272.28
2016-05-22BUY124255.2139.2464.73-31,848.760
2016-05-26SELL124254138.5864.531,292.92-555.85
2016-07-12BUY122255.8137.3164.01-31,408.920
2016-07-16SELL122257137.9664.3531,151.69-257.23
2016-07-19BUY119259.4135.8263.13-31,067.560
2016-07-26SELL119269.1140.965.0931,816.9749.35
2016-07-31BUY114276.5138.6963.64-31,723.330
2016-08-07SELL114277.4139.1463.8531,420.61-302.72
2016-09-26BUY117268.1138.0264.51-31,570.230
2016-10-03SELL117268.8138.3864.731,246.52-323.71
2016-10-06BUY114272136.4463.51-31,207.950
2016-10-17SELL114270.4135.6363.1730,626.8-581.15
2016-10-20BUY110277.8134.4662.28-30,754.730
2016-10-27SELL110279.9135.4762.5530,590.97-163.76
2016-11-09BUY108281.3133.6761.62-30,575.690
2016-11-16SELL108279.8132.9661.2530,024.19-551.51
2016-11-21BUY104287.1131.3860.43-30,050.20
2016-11-28SELL104286130.8760.0929,553.04-497.16
2017-01-08BUY102288129.2559.45-29,564.710
2017-01-15SELL102291130.659.9929,491.41-73.3
2017-01-18BUY99294128.0758.8-29,292.870
2017-01-25SELL99306.3133.4261.1230,129.16836.29
2017-01-30BUY99303131.9960.4-30,189.380
2017-02-06SELL99304132.4260.6329,902.95-286.43
2017-02-09BUY96308130.159.56-29,757.660
2017-02-16SELL96318134.3261.5330,332.14574.48
2017-02-26BUY96315.2133.1461.02-30,453.360
2017-03-05SELL96311.9131.7560.4229,750.23-703.13
2017-03-30BUY90330130.6860.1-29,890.780
2017-04-05SELL90345.84136.9562.7930,926.041,035.26
2017-04-10BUY89342.1133.9761.44-30,642.310
2017-04-17SELL89337131.9760.5329,800.5-841.81
2017-06-05BUY89336131.5861-30,096.580
2017-06-12SELL89330.9129.5859.9829,260.54-836.04
2017-06-21BUY86335.8127.0758.66-29,064.520
2017-07-03SELL86344.5130.3659.9229,436.72372.2
2017-07-06BUY82355.4128.2358.82-29,329.850
2017-07-11SELL82348.3125.6757.528,377.43-952.42
2017-07-16BUY78365.1125.357.24-28,660.340
2017-07-23SELL78367.9126.2657.6328,512.3-148.04
2017-07-26BUY76371124.0656.63-28,376.690
2017-08-06SELL76373.2124.856.9428,181.46-195.23
2017-08-20BUY71391.6122.3455.89-27,981.830
2017-08-27SELL71390121.8455.6927,512.48-469.35
2017-09-10BUY67408120.2855.05-27,511.330
2017-09-13SELL67415122.3455.9427,626.71115.38
2017-09-18BUY67414.5122.1955.86-27,949.560
2017-09-25SELL67410.4120.9955.327,320.51-629.05
2017-10-12BUY63430119.254.52-27,263.710
2017-10-19SELL63420116.4253.3126,290.26-973.45
2017-10-25BUY59440114.2252.23-26,126.450
2017-11-01SELL59439.8114.1752.2325,781.8-344.65
2017-11-09BUY56457112.651.48-25,756.080
2017-11-15SELL56496.76122.455.8927,640.381,884.29
2017-11-20BUY56489.5120.6155.04-27,587.660
2017-11-27SELL56479.2118.0753.8826,663.24-924.41
2018-01-03BUY55481116.453.22-26,624.630
2018-01-10SELL55472114.2252.2425,793.54-831.09
2018-01-17BUY54477.2113.3851.83-25,934.020
2018-01-24SELL54503.8119.754.727,030.81,096.78
2018-01-29BUY53505.3117.8453.8-26,952.540
2018-02-05SELL53496115.6752.7826,119.55-832.98
2018-04-04BUY54478113.5752.06-25,977.630
2018-04-11SELL54483.2114.8152.6225,925.37-52.27
2018-04-16BUY54484.2115.0552.74-26,314.580
2018-04-23SELL54484.1115.0252.6825,973.69-340.89
2018-06-24BUY63405112.2751.27-25,678.540
2018-06-27SELL63400110.8850.6125,038.51-640.03
2018-07-03BUY66381110.6450.49-25,307.140
2018-07-08SELL66387112.3851.325,378.3271.18
2018-07-11BUY66380110.3550.37-25,240.730
2018-07-16SELL66390113.2651.7125,575.03334.31
2018-07-19BUY63401.5111.350.81-25,456.610
2018-07-24SELL63395.4109.650.0924,750.51-706.1