← 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: -18.1%. 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 →

#319 · MACD

Full-history NAV৳3,426

Net return -96.6% · drawdown 96.6% · 307 closed positions

2024 onward NAV৳62,912

Net return -37.1% · drawdown 54.1% · 59 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 2.0%, distance 1.0%; partial sale at 0.0% (0 = off).

Account reconciliation

Cash৳60
Unsettled৳3,366
Holdings৳0
NAV৳3,426
Realized P&L৳-96,574
Unrealized P&L৳0
Fees৳76,059
Friction৳35,053

NAV = cash + unsettled proceeds + marked holdings. Maximum reconciliation error: ৳9.87e-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 #319

614 fills, including partial sales. Page 3.

DateSideSharesPriceFeesFrictionCash flowRealized P&L
2015-07-02BUY119330.1172.8479.13-39,533.870
2015-07-08SELL119328171.7478.6238,781.63-752.23
2015-07-13BUY111346.9169.4377.54-38,752.860
2015-07-22SELL111335.2163.7174.8736,968.62-1,784.24
2015-07-27BUY109338.6162.3974.22-37,144.010
2015-08-02SELL109325.06155.971.2235,203.99-1,940.02
2015-08-27BUY108321.5152.7870.03-34,944.810
2015-09-01SELL108316.1150.2168.9233,919.67-1,025.14
2015-09-06BUY108314.1149.2668.6-34,140.660
2015-09-09SELL108313.2148.8368.4633,608.3-532.35
2015-10-26BUY132253146.9467.37-33,610.310
2015-10-29SELL132246.5143.1765.6632,329.17-1,281.14
2015-11-03BUY128251.4141.5964.99-32,385.770
2015-11-08SELL128250140.864.7131,794.49-591.28
2015-11-11BUY125251138.0563.5-31,576.550
2015-11-16SELL125249.5137.2363.2530,987.02-589.53
2015-11-19BUY123250.7135.6862.65-31,034.430
2015-11-24SELL123252.9136.8763.3230,906.51-127.92
2015-11-29BUY120255.8135.0662.54-30,893.60
2015-12-02SELL120271.1143.1466.3932,322.471,428.86
2015-12-07BUY120267.4141.1965.37-32,294.560
2015-12-10SELL120252.7133.4361.5930,128.99-2,165.57
2016-01-04BUY118254.5132.1461.38-30,224.520
2016-01-07SELL118253.1131.4161.3529,673.04-551.48
2016-01-12BUY114258.5129.6660.57-29,659.230
2016-01-17SELL114257128.9160.1729,108.92-550.31
2016-01-20BUY106274127.7959.19-29,230.980
2016-01-25SELL106266.2124.1657.3428,035.7-1,195.28
2016-01-28BUY105265122.4356.5-28,003.930
2016-02-02SELL105256.3118.4154.5826,738.51-1,265.42
2016-04-06BUY114232.5116.6254.53-26,676.150
2016-04-11SELL114234.5117.6355.0426,560.33-115.82
2016-04-17BUY113234116.3454.59-26,612.940
2016-04-20SELL113237117.8455.2726,607.89-5.04
2016-04-25BUY105250115.553.84-26,419.340
2016-04-28SELL105250.5115.7353.7626,133.01-286.33
2016-05-02BUY12451.080.49-246.570
2016-05-05SELL12471.090.49245.42-1.15
2016-05-08BUY105247114.1152.96-26,102.080
2016-05-11SELL105252.1116.4753.9526,300.08198
2016-05-12BUY1251.11.10.5-252.710
2016-05-17SELL1252.21.110.5250.59-2.12
2016-05-18BUY103252.2114.352.9-26,143.80
2016-05-24SELL103256.7116.3453.8926,269.87126.07
2016-05-25BUY1256.61.130.51-258.240
2016-05-30SELL12571.130.51255.36-2.89
2016-07-12BUY103255.8115.9353.83-26,517.160
2016-07-16SELL103257116.4754.1126,300.42-216.74
2016-07-19BUY101259.4115.2853.4-26,368.080
2016-07-24SELL101263116.8853.9526,392.1824.09
2016-07-27BUY94278114.9852.84-26,299.820
2016-08-01SELL94276.6114.452.425,833.6-466.22
2016-08-04BUY94275.1113.7852.13-26,025.310
2016-08-11SELL94272112.551.525,404-621.31
2016-09-26BUY94268.1110.8951.55-25,363.840
2016-10-03SELL94268.8111.1851.725,104.33-259.51
2016-10-06BUY91272108.9150.46-24,911.370
2016-10-17SELL91270.4108.2750.1824,447.95-463.41
2016-10-20BUY88277.8107.5649.64-24,603.60
2016-10-25SELL88282.15109.2550.3224,669.6366.03
2016-10-30BUY88277107.2549.36-24,532.610
2016-11-06SELL88279.9108.3849.8924,472.94-59.68
2016-11-09BUY87281.3107.6849.5-24,630.280
2016-11-16SELL87279.8107.1149.2124,186.28-444.01
2016-11-21BUY83287.1104.8548.11-23,982.260
2016-11-28SELL83286104.4547.8623,585.7-396.56
2017-01-08BUY82288103.9147.69-23,767.60
2017-01-15SELL82291104.9948.1323,708.88-58.72
2017-01-18BUY80294103.4947.42-23,670.910
2017-01-25SELL80306.3107.8249.3224,346.87675.95
2017-01-30BUY80303106.6648.74-24,395.40
2017-02-05SELL80306.5107.8949.3324,362.79-32.61
2017-02-08BUY79304.6105.8848.41-24,217.690
2017-02-15SELL79320111.2350.8925,117.88900.19
2017-02-20BUY79318.8110.8150.69-25,346.70
2017-02-28SELL79308.2107.1349.0524,191.62-1,155.08
2017-03-30BUY72330104.5447.97-23,912.510
2017-04-04SELL72346.5109.7750.2924,787.94875.43
2017-04-09BUY72345109.350.03-24,999.330
2017-04-16SELL72340107.7149.3324,322.96-676.37
2017-06-05BUY72336106.4449.16-24,347.610
2017-06-12SELL72330.9104.8348.3623,671.61-676
2017-06-21BUY70335.8103.4347.61-23,657.030
2017-07-03SELL70344.5106.1148.6723,960.22303.19
2017-07-06BUY67355.4104.7747.98-23,964.550
2017-07-11SELL67348.3102.6846.9323,186.49-778.06
2017-07-16BUY63365.1101.2146.19-23,148.690
2017-07-19SELL63365.1101.2146.1722,853.92-294.77
2017-07-24BUY62367100.1245.66-22,899.780
2017-07-30SELL62376.7102.7646.8623,205.77306
2017-08-06BUY61373.2100.1745.67-22,911.040
2017-08-13SELL61381.6102.4246.7223,128.46217.42
2017-08-20BUY59391.6101.6646.41-23,252.470
2017-08-27SELL59390101.2446.2322,862.52-389.94
2017-09-10BUY56408100.5345.96-22,994.490
2017-09-13SELL56415102.2646.7123,091.0396.54
2017-09-18BUY55414.5100.3145.81-22,943.620
2017-09-25SELL55410.499.3245.3522,427.33-516.29
2017-10-12BUY5243098.3844.95-22,503.330
2017-10-19SELL5242096.143.9521,699.96-803.38