← 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: -15.4%. 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 →

#305 · MACD

Full-history NAV৳5,925

Net return -94.1% · drawdown 94.2% · 283 closed positions

2024 onward NAV৳63,765

Net return -36.2% · drawdown 50.6% · 50 closed positions

2024 stress NAV৳26,610

Net return -73.4% · drawdown 73.4% · 38 closed positions

Variant 2; fixed stop 10.0%; maximum 5 sessions; gate None; continuous signal; exit any bearish; trailing arms at 2.0%, distance 1.0%; partial sale at 0.0% (0 = off).

Account reconciliation

Cash৳154
Unsettled৳5,771
Holdings৳0
NAV৳5,925
Realized P&L৳-94,075
Unrealized P&L৳0
Fees৳80,640
Friction৳37,238

NAV = cash + unsettled proceeds + marked holdings. Maximum reconciliation error: ৳8.00e-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 #305

566 fills, including partial sales. Page 3.

DateSideSharesPriceFeesFrictionCash flowRealized P&L
2015-11-01BUY148250.8163.3275.07-37,356.790
2015-11-08SELL148250162.874.9536,762.25-594.54
2015-11-11BUY145251160.1473.8-36,628.940
2015-11-18SELL145254.5162.3775.1636,664.9736.03
2015-11-23BUY143254.8160.3274.31-36,671.030
2015-11-30SELL143256.1161.1474.8736,386.29-284.74
2015-12-03BUY133272159.1773.86-36,409.040
2015-12-10SELL133252.7147.8868.3733,392.85-3,016.19
2015-12-27BUY131254146.4167.71-33,488.120
2016-01-03SELL131253.4146.0667.9232,981.42-506.7
2016-01-06BUY130252144.1467.39-32,971.540
2016-01-12SELL130258.5147.8669.3333,387.81416.27
2016-01-17BUY129257145.8768.32-33,367.20
2016-01-20SELL129274155.5272.3235,118.161,750.96
2016-01-25BUY131266.2153.4471.13-35,096.770
2016-02-01SELL131257148.1368.5433,450.33-1,646.44
2016-04-07BUY143233.2146.7369.13-33,563.460
2016-04-12SELL143233.8147.1169.3333,216.96-346.5
2016-04-18BUY140235.9145.3168.77-33,240.090
2016-04-24SELL140248.6153.1472.0734,578.791,338.7
2016-04-27BUY136251150.270.27-34,356.470
2016-05-05SELL136247147.869.0533,375.15-981.32
2016-05-10BUY131253.4146.0668.05-33,409.510
2016-05-17SELL131252.2145.3767.632,825.23-584.28
2016-05-22BUY128255.2143.7366.86-32,876.190
2016-05-30SELL128257144.7467.4932,683.77-192.43
2016-06-02BUY127256.7143.4466.87-32,811.220
2016-06-07SELL127255.1142.5566.4932,188.66-622.56
2016-07-13BUY124256.8140.1165.56-32,048.870
2016-07-19SELL124259.4141.5365.8531,958.22-90.65
2016-07-24BUY121263140.0264.82-32,027.840
2016-07-27SELL121278148.0168.2333,421.761,393.92
2016-08-01BUY120276.6146.0467.03-33,405.070
2016-08-10SELL120267.9141.4564.8831,941.67-1,463.4
2016-09-27BUY118269.2139.7765.36-31,970.730
2016-10-04SELL118271140.765.7631,771.54-199.19
2016-10-09BUY117270.4139.264.83-31,840.830
2016-10-18SELL117270.7139.3664.9131,467.63-373.19
2016-10-23BUY112277.5136.7563.34-31,280.090
2016-10-26SELL112280137.9863.7431,158.27-121.82
2016-10-31BUY113275136.7363.13-31,274.860
2016-11-07SELL113278138.2263.8531,211.93-62.93
2016-11-10BUY111279.1136.3162.84-31,179.250
2016-11-15SELL111279.1136.3162.7930,781-398.25
2016-11-20BUY108282.5134.2461.78-30,706.020
2016-11-23SELL108288.6137.1463.0730,968.59262.57
2016-11-28BUY108286135.9162.42-31,086.330
2016-12-01SELL108283.9134.9161.9430,464.35-621.98
2017-01-09BUY104290132.761.06-30,353.760
2017-01-16SELL104290132.760.9929,966.31-387.45
2017-01-19BUY100297130.6859.97-29,890.650
2017-01-25SELL100304.92134.1661.4630,296.37405.72
2017-01-30BUY100303133.3261.01-30,494.330
2017-02-05SELL100306.5134.8661.7530,453.39-40.94
2017-02-08BUY99304.6132.6860.76-30,348.840
2017-02-15SELL99320139.3963.8731,476.741,127.89
2017-02-20BUY98318.8137.4762.97-31,442.840
2017-02-28SELL98308.2132.960.9530,009.75-1,433.09
2017-03-30BUY90330130.6860.1-29,890.780
2017-04-04SELL90346.5137.2162.9830,984.81,094.02
2017-04-09BUY90345136.6262.65-31,249.270
2017-04-16SELL90340134.6461.7730,403.59-845.69
2017-06-07BUY89337.9132.3261.37-30,266.790
2017-06-12SELL89330.9129.5859.9829,260.54-1,006.25
2017-06-22BUY86338.8128.259.11-29,324.120
2017-07-04SELL86351.1132.8661.0430,000.7676.59
2017-07-09BUY87340.5130.3459.71-29,813.550
2017-07-12SELL87347132.8360.829,994.93181.38
2017-07-17BUY81370.9132.1960.38-30,235.470
2017-07-24SELL81367130.859.7129,536.49-698.98
2017-07-27BUY78375.5128.8758.82-29,476.690
2017-08-06SELL78373.2128.0858.4528,923.07-553.62
2017-08-09BUY76376.5125.957.48-28,797.380
2017-08-16SELL76382127.7458.3828,845.8848.5
2017-08-21BUY73391.5125.7557.47-28,762.720
2017-08-27SELL73390125.2757.2628,287.47-475.25
2017-09-10BUY69408123.8756.71-28,332.580
2017-09-13SELL69415125.9957.6228,451.38118.8
2017-09-18BUY68414.5124.0256.7-28,366.720
2017-09-21SELL68413.7123.7856.5827,951.24-415.48
2017-10-12BUY65430122.9856.26-28,129.240
2017-10-18SELL65422.1120.7255.2927,260.49-868.75
2017-10-25BUY62440120.0354.9-27,454.930
2017-10-30SELL62442120.5855.1627,228.26-226.67
2017-11-02BUY61438.2117.6153.82-26,901.630
2017-11-07SELL61444.5119.354.5826,940.6238.99
2017-11-12BUY59457.5118.7754.31-27,165.580
2017-11-15SELL59500129.859.2929,310.912,145.34
2017-11-20BUY59489.5127.0758-29,065.580
2017-11-27SELL59479.2124.456.7828,091.62-973.96
2018-01-04BUY57487.6122.2955.96-27,971.450
2018-01-09SELL57472.6118.5354.2326,765.45-1,206
2018-01-18BUY56482.5118.8954.39-27,193.280
2018-01-25SELL56505.8124.6356.9428,143.23949.95
2018-01-30BUY54511121.4155.43-27,770.840
2018-02-06SELL54495117.6153.6726,558.72-1,212.12
2018-04-08BUY55479.9116.1453.25-26,563.890
2018-04-15SELL55484.8117.3253.7826,492.9-70.99
2018-04-18BUY54487.5115.8353.1-26,493.930
2018-04-23SELL54484.1115.0252.6825,973.69-520.24