← 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: -20.3%. 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 →

#332 · MACD

Full-history NAV৳2,164

Net return -97.8% · drawdown 97.9% · 323 closed positions

2024 onward NAV৳48,371

Net return -51.6% · drawdown 51.7% · 61 closed positions

2024 stress NAV৳22,242

Net return -77.8% · drawdown 77.8% · 46 closed positions

Variant 1; 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৳240
Unsettled৳1,924
Holdings৳0
NAV৳2,164
Realized P&L৳-97,836
Unrealized P&L৳0
Fees৳63,661
Friction৳29,261

NAV = cash + unsettled proceeds + marked holdings. Maximum reconciliation error: ৳3.06e-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 #332

646 fills, including partial sales. Page 3.

DateSideSharesPriceFeesFrictionCash flowRealized P&L
2015-07-13BUY96346.9146.5367-33,515.930
2015-07-22SELL96335.2141.5964.731,972.91-1,543.02
2015-08-24BUY101316.5140.6564.35-32,171.510
2015-08-27SELL101321.5142.8765.4632,263.1791.66
2015-09-01BUY101316.1140.4764.42-32,130.990
2015-09-06SELL101314.1139.5964.131,520.41-610.58
2015-09-09BUY100313.2137.8163.34-31,521.140
2015-09-14SELL100307.1135.1262.0730,512.8-1,008.34
2015-10-21BUY117258.9133.2861.04-30,485.620
2015-10-27SELL117250128.758.9429,062.36-1,423.26
2015-11-01BUY116250.8128.0158.7-29,279.510
2015-11-04SELL116249127.0958.328,698.61-580.89
2015-11-09BUY114249.3125.0557.43-28,602.680
2015-11-12SELL114250125.457.6428,316.96-285.72
2015-11-17BUY112250.5123.4556.84-28,236.290
2015-11-22SELL112252.2124.2857.3728,064.74-171.54
2015-11-25BUY111252123.0856.83-28,151.910
2015-11-30SELL111256.1125.0857.8328,244.1992.28
2015-12-03BUY103272123.2756.94-28,196.210
2015-12-08SELL103257116.4753.6826,300.84-1,895.36
2015-12-24BUY103253.5114.8952.93-26,278.320
2015-12-29SELL103254115.1153.0825,993.81-284.51
2016-01-03BUY102253.4113.7352.62-26,013.150
2016-01-06SELL102252113.152.5625,538.34-474.81
2016-01-11BUY100254111.7652.1-25,563.860
2016-01-14SELL100256.6112.952.5625,494.54-69.32
2016-01-19BUY96263.3111.2251.59-25,439.610
2016-01-24SELL96266112.3651.8325,371.81-67.8
2016-01-27BUY94268110.8451.09-25,353.940
2016-02-01SELL94257106.348.9424,002.77-1,351.17
2016-02-23BUY92259104.8448.4-23,981.240
2016-02-28SELL92256.2103.7147.8523,418.84-562.4
2016-03-21BUY97240.5102.6547.25-23,478.390
2016-03-24SELL97235.2100.3846.2222,667.8-810.59
2016-04-04BUY97233.199.4946.22-22,756.410
2016-04-07SELL97233.299.5346.3622,474.51-281.9
2016-04-12BUY95233.897.7345.51-22,354.240
2016-04-18SELL95235.998.6146.0722,265.82-88.42
2016-04-21BUY9124397.345.33-22,255.620
2016-04-26SELL91251.9100.8646.7722,775.27519.65
2016-05-02BUY93245100.2546.41-22,931.670
2016-05-05SELL93247101.0746.8122,823.11-108.55
2016-05-10BUY89253.499.2345.87-22,697.70
2016-05-15SELL89251.198.3345.422,204.17-493.54
2016-05-24BUY86256.797.1444.86-22,218.190
2016-05-29SELL86255.296.5744.6421,805.99-412.2
2016-06-30BUY86251.795.2444.09-21,785.540
2016-07-12SELL86255.896.7944.7921,857.2171.68
2016-07-16BUY8525796.1244.49-21,985.60
2016-07-19SELL85259.497.0244.8121,907.17-78.43
2016-07-24BUY8326396.0544.21-21,969.260
2016-07-28SELL83280.28102.3646.8723,114.011,144.75
2016-08-02BUY83275.5100.6146.05-23,013.170
2016-08-10SELL83267.997.8444.7522,093.11-920.05
2016-09-06BUY8226896.6944.56-22,117.260
2016-09-20SELL8226294.5343.7721,345.7-771.56
2016-09-25BUY79267.192.8443.03-21,236.770
2016-10-02SELL79268.593.3343.2621,074.91-161.86
2016-10-05BUY77273.992.842.87-21,225.970
2016-10-16SELL77269.791.3742.2220,633.31-592.66
2016-10-19BUY7427589.5441.3-20,480.840
2016-10-26SELL7428091.1741.8920,586.95106.1
2016-11-09BUY73281.390.3541.46-20,666.710
2016-11-16SELL73279.889.8741.2220,294.3-372.41
2016-11-21BUY70287.188.4340.52-20,225.940
2016-11-28SELL7028688.0940.3119,891.6-334.34
2016-12-11BUY6928787.1339.86-19,929.990
2016-12-19SELL69285.286.5939.6419,552.58-377.42
2017-01-05BUY6729085.4939.17-19,554.660
2017-01-12SELL67290.785.739.2519,351.95-202.71
2017-01-17BUY66292.184.8338.81-19,402.230
2017-01-24SELL66298.586.6839.6319,574.69172.45
2017-01-29BUY63305.584.6838.66-19,369.850
2017-02-05SELL63306.584.9638.819,185.74-184.11
2017-02-12BUY63307.185.1338.89-19,471.320
2017-02-19SELL6332088.740.5320,030.77559.45
2017-03-09BUY62316.986.4539.53-19,773.780
2017-03-16SELL62315.285.9939.3219,417.1-356.68
2017-03-30BUY5933085.6739.24-19,594.910
2017-04-05SELL59345.8489.7841.0420,273.86678.95
2017-04-10BUY59342.188.8140.61-20,313.320
2017-04-17SELL5933787.4940.0119,755.51-557.81
2017-05-28BUY5833485.2439.27-19,496.50
2017-06-04SELL58333.585.1139.1919,218.7-277.81
2017-06-07BUY57337.984.7539.02-19,384.070
2017-06-14SELL57331.583.1438.2318,774.13-609.94
2017-06-21BUY55335.881.2637.31-18,587.570
2017-07-03SELL55344.583.3738.1718,825.96238.39
2017-07-06BUY53355.482.8837.89-18,956.970
2017-07-11SELL53348.381.2237.0818,341.6-615.38
2017-07-16BUY50365.180.3236.63-18,371.950
2017-07-23SELL50367.980.9436.8918,277.17-94.78
2017-07-27BUY48375.579.3136.14-18,139.450
2017-08-06SELL48373.278.8235.9117,798.87-340.58
2017-08-17BUY4638878.5335.82-17,962.350
2017-08-24SELL46388.478.6135.8617,751.93-210.42
2017-09-07BUY44396.976.8435.09-17,575.530
2017-09-12SELL4442081.3137.1118,361.58786.04
2017-09-17BUY4441880.9236.92-18,509.850
2017-09-24SELL44411.279.6136.3217,976.87-532.97