Simulated Forward Testing
Our Educational Approach
SJ Options provides education about options, volatility, strategy structure, and risk concepts. The materials explain analytical frameworks and show how they were applied in historical simulated examples.
These historical examples are simulated paper trades for educational purposes. They were not executed through brokerage accounts and do not represent actual client results or recommendations to trade.
The calculation basis for each percentage is identified with its chart. Figures are trade-level calculations, not compounded portfolio returns, and may not be directly comparable across methods. The charts do not show the full path of each position, including interim losses or maximum drawdowns.
Trade values use closing midpoint prices; commissions and other costs are excluded. Modeled results may differ from live execution prices, broker margin requirements, costs, and results. These company-maintained records have not been independently audited. Hypothetical results do not predict or guarantee future performance. Nothing here is investment advice.
The sections below bring together historical paper-trade examples from SJ Options’ educational materials.
Each table summarizes the measures and assumptions identified for that group of examples. They are illustrations, not recommendations.
2014 Paper-Trade Case Studies 34 HISTORICAL EXAMPLES · SPX AND RUT
Product |
Closed |
Return on modeled Reg-T BP |
Return on modeled PM BP |
Duration |
|
|---|---|---|---|---|---|
RUT |
JAN |
2.2% |
-- |
33D |
|
SPX |
JAN |
6.6% |
-- |
42D |
|
SPX |
MAR |
2.5% |
-- |
105D |
|
SPX |
MAR |
23% |
-- |
4D |
|
RUT |
MAR |
7.6% |
-- |
43D |
|
SPX |
APR |
9% |
-- |
17D |
|
RUT |
APR |
23% |
-- |
141D |
|
SPX |
APR |
6.7% |
-- |
58D |
|
SPX |
APR |
10% |
-- |
20D |
|
SPX |
MAY |
13% |
-- |
20D |
|
SPX |
MAY |
13% |
-- |
49D |
|
SPX |
MAY |
7.8% |
-- |
17D |
|
SPX |
MAY |
4% |
-- |
22D |
|
SPX |
MAY |
.2% |
-- |
28D |
|
RUT |
MAY |
1% |
-- |
79D |
|
SPX |
JUN |
1% |
-- |
45D |
|
SPX |
JUN |
3.9% |
4% |
6D |
|
SPX |
JUL |
10.5% |
10.7% |
7D |
|
SPX |
JUL |
4% |
4% |
6D |
|
SPX |
JUL |
2.7% |
1% |
8D |
|
SPX |
JUL |
3.3% |
1.5% |
22D |
|
SPX |
AUG |
1.3% |
2.4% |
11D |
|
SPX |
SEP |
1.8% |
1.8% |
41D |
|
SPX |
SEP |
4.2% |
4.2% |
6D |
|
RUT |
SEP |
6.5% |
10.1% |
93D |
|
RUT |
OCT |
3.6% |
14.2% |
4D |
|
RUT |
OCT |
4.2% |
2.9% |
36D |
|
RUT |
OCT |
1.1% |
1.8% |
15D |
|
RUT |
NOV |
3.9% |
75.2% |
33D |
|
SPX |
DEC |
14.1% |
3.9% |
87D |
|
SPX |
DEC |
5.5% |
13.7% |
19D |
|
SPX |
DEC |
3.8% |
7.7% |
19D |
|
SPX |
DEC |
6.8% |
6.8% |
36D |
This table presents 34 historical paper-trade examples involving SPX and RUT. Each percentage is simulated trade P&L divided by the modeled buying-power requirement for that margin method. Reg-T figures use Regulation T margin requirements; portfolio-margin (PM) figures use the OCC TIMS ±10% risk array. A dash means no portfolio-margin figure is displayed for that example.
2015 Paper-Trade Case Studies 54 HISTORICAL EXAMPLES · SPX AND RUT
ProductClosedReturn on modeled Reg-T BPReturn on modeled PM BPDURATION
SPXJAN6.7%223.6%13D
SPXFEB3.1%3.6%8D
RUTFEB2.4%10.3%15D
RUTFEB2.8%6.6%27D
RUTFEB4.5%16.3%16D
SPXFEB3.0%3.2%31D
SPXMAR3.0%184.2%55D
RUTMAR5%8.1%8D
RUTMAR5.1%11.9%10 D
SPXMAR0.4%100%75D
RUTAPR8.3%51.6%6D
RUTAPR3.1%550.3%23D
RUTMAY5.1%7.9%28D
SPXMAY3.2%3.3%8D
RUTJUN1.6%100%71D
RUTJUN3.9%8.8%33D
RUTJUN2.4%3.8%42D
SPYJUN.6%3.6%55D
RUTJUN66.7%100%74D
SPXJUL2.5%3.4%6D
SPXJUL2.0%3781.4%23D
SPXJUL6.4%7.7%5D
RUTJUL2.9%9.4%14D
SPXJUL5.8%5.1%5D
SPXJUL10%40.5%3D
SPXJUL3.7%6%3D
SPXJUL.6%100%60D
RUTAUG1.1%3.2%21D
RUTAUG7.1%7.1%74D
SPXAUG8.2%335.4%5D
SPXAUG6.1%431.7%3D
SPXAUG1%91%28D
SPXAUG10.8%148.8%2D
SPXAUG7.7%30.2%2D
SPXAUG27.9%2180.5%1D
SPXAUG11%22.5%6D
SPXAUG66.7%100%58D
RUTSEP5.4%24.2%14D
RUTSEP2.2%13.5%34D
RUTSEP.9%11.7%13D
RUTSEP3.6%48.6%27D
SPXSEP1.5%204.8%4D
SPXSEP3.5%179%22D
SPXOCT2.3%4.9%18D
RUTOCT3%29.1%17D
RUTOCT2.7%5.7%7D
SPXOCT1.6%1.9%4D
SPXOCT7%6.8%4D
SPXDEC1.4%16.1%38D
SPXDEC2.5%9.7%2D
SPXDEC2.1%32.8%7D
RUTDEC.8%33.2%35D
SPXDEC1.3%1.1%20D
RUTDEC2.1%27.2%19D
RUTDEC1.7%16.6%58D
SPXDEC1.3%38.1%38D
Each percentage shows simulated trade P&L relative to the modeled buying-power requirement for that margin method. Reg-T and portfolio-margin requirements differ, so the percentages can differ substantially. Portfolio-margin calculations use the OCC TIMS ±10% risk array.
2016 Paper-Trade Case Studies 47 HISTORICAL EXAMPLES · SPX AND RUT
PRODUCTCLOSEDReturn on modeled Reg-T BPReturn on modeled PM BPDURATION
SPXJAN7.5%349.2%49D
SPXJAN0.9%31.5%24D
SPXJAN1.5%9%8D
SPXJAN2.9%5%8D
RUTFEB2%4.6%40D
SPXFEB3%309.1%31D
SPXFEB0.7%111.4%49D
SPXMAR1.7%65.1%42D
SPXMAR2.1%10%55D
RUTMAR2.9%100%106D
SPXAPR.3%100%67D
SPXAPR1.2%14.8%28D
SPXAPR2.3%7.7%8D
SPXAPR1.1%8.3%20D
SPXAPR.1%100%43D
SPXMAY3.8%3.8%57D
SPXMAY1.7%49.9%121D
SPXMAY1.4%6%6D
SPXMAY0.8%12.8%22D
SPXMAY2.9%127.8%56D
SPXMAY0.9%5.2%39D
SPXJUN.1%100%105D
SPXJUN2.3%3.7%43D
SPXJUN.1%11.2%56D
SPXJUN2.5%2.5%50D
SPXJUN1.4%1.5%2D
SPXJUN2.4%3.4%2D
SPXJUL2.5%4.2%25D
SPXJUL2.6%5.7%22D
SPXJUL1.4%2.3%7D
SPXAUG1.6%6.9%53D
SPXAUG2.2%16.6%132D
SPXSEP2.2%5.8%3D
SPXSEP1.5%2.2%2D
SPXSEP8.3%29.6%43D
SPXSEP-1.1%-1.1%114D
SPXSEP.2%.4%94D
SPXNOV0.9%109.1%8D
SPXNOV1.5%199.1%141D
SPXNOV4.4%4.6%68D
SPXNOV2%1.6%29D
SPXNOV2.3%1.6%33D
SPXNOV1.6%.8%91D
SPXNOV1.9%2.4%69D
SPXDEC1.5%5.2%18D
SPXDEC.2%100%175D
SPXDEC3.1%9.1%77D
SPXDEC2.5%6.2%81D
SPXDEC.4%100%190D
SPXDEC66.7%100%373D
SPXDEC1.5%5.218D
Each percentage shows simulated trade P&L relative to the modeled buying-power requirement for that margin method. Reg-T and portfolio-margin requirements differ, so the percentages can differ substantially. Portfolio-margin calculations use the OCC TIMS ±10% risk array.
2017 Paper-Trade Case Studies 58 HISTORICAL EXAMPLES · SPX AND SPXW
ProductClosedReturn on modeled Reg-T BPReturn on modeled PM BPDuration
SPXJAN1.8%9.3%22D
SPXJAN3.3%14%40D
SPXJAN1%151%23D
SPXJAN.5%3%49D
SPXJAN1.2%9%6D
SPXFEB1.2%2.6%10D
SPXFEB.6%31%112D
SPXMAR1.3%15%3D
SPXMAR.1%100%115D
SPXMAR.1%1%134D
SPXAPR1.4%11.6%30D
SPXAPR.9%1.1%65D
SPXMAY.7%1.8%66D
SPXMAY.2%.2%108D
SPXMAY.1%.6%88D
SPXMAY.0%.1%77D
SPXWMAY1.3%5.5%8D
SPXWMAY1.9%6.4%14D
SPXJUN1.7%100%87D
SPXJUN1.1%16.2%2D
SPXJUL.3%30%20D
SPXJUL2.6%2.8%5D
SPXJUL.3%4.6%7D
SPXJUL2.7%6.8%29D
SPXJUL0%0%77D
SPXAUG2.4%128%9D
SPXAUG-1.2%-100%107D
SPXAUG2.4%102%21D
SPXAUG1.5%11.2%20D
SPXAUG1.4%17.2%19D
SPXSEP0%.1%120D
SPXSEP1.4%2%36D
SPXOCT.4%22.7%70D
SPXOCT4.1%7.2%20D
SPXOCT.9%14.4%4D
SPXOCT.5%39%2D
SPXOCT9.6%9.7%8D
SPXOCT2%5.7%1D
SPXNOV5.5%5.6%9D
SPXNOV8.4%31.1%9D
SPXNOV2.5%14%2D
SPXNOV9.2%55%6D
SPXNOV7%11%14D
SPXNOV13%24%4D
SPXNOV3.8%4%20D
SPXNOV1.3%6.3%13D
SPXNOV.9%7.5%12D
SPXNOV.7%7.5%5D
SPXNOV.3%37%33D
SPXDEC6%6%2D
SPXDEC2.2%49%8D
SPXDEC4%4%4D
SPXDEC-0%-.6%84D
SPXDEC-.1%-.9%226D
SPXDEC.1%100%84D
SPXDEC3.6%19.7%4D
SPXDEC10.4%21.7%7D
SPXDEC2.1%4%26D
Each percentage shows simulated trade P&L relative to the modeled buying-power requirement for that margin method. Reg-T and portfolio-margin requirements differ, so the percentages can differ substantially. Portfolio-margin calculations use the OCC TIMS ±10% risk array.
2018 Paper-Trade Case Studies 89 HISTORICAL EXAMPLES · SPX AND SPY
ProductClosedReturn on modeled Reg-T BPReturn on modeled PM BPDuration
SPXJAN8%29%22D
SPXJAN1.8%26%13D
SPXJAN1.5%15.5%4D
SPXJAN2.5%2.5%4D
SPXJAN3.9%17%4D
SPXFEB1%193%8D
SPXFEB1%380%2D
SPYFEB3.8%129%21D
SPXFEB1%194%21D
SPXFEB6.7%358%6D
SPYFEB9.7%58%8D
SPXFEB3.2%32.3%41D
SPXFEB3.2%68%10D
SPXFEB.5%41%50D
SPXFEB3%202%22D
SPXMAR.7%180%1D
SPXMAR.6%42%2D
SPXMAR1.1%175%109D
SPXMAR.4%70%43D
SPXMAR2.1%111%49D
SPXMAR.2%.4%50D
SPXAPR.5%129%1D
SPXAPR1.2%353%90D
SPXAPR.1%64%73D
SPXAPR2.8%6.4%73D
SPXAPR.1%9.8%14D
SPXAPR1.9%160%56D
SPXAPR2.8%14%2D
SPXAPR1.9%20%14D
SPXAPR1%10%2D
SPXAPR2.9%6.6%37D
SPXAPR2.6%43%20D
SPXMAY2.3%2.8%14D
SPXMAY0%5.7%56D
SPXMAY4.6%38.3%6D
SPXMAY5.8%60%16D
SPXMAY2.8%5.7%63D
SPXMAY1.6%3.7%45D
SPXJUNCPM13%6D
SPXJUN.1%10.3%111D
SPXJUN.1%1.1%118D
SPXJUN3.3%25%50D
SPXJUN27%18%31D
SPXJUL.1%.3%58D
SPXJULCPM12%133D
SPXJUL.1%.1%34D
SPXAUG1.4%4%22D
SPXAUG1.4%3%29D
SPXAUG.3%10.4%45D
SPXAUG2.6%11%4D
SPXAUG3.1%5%46D
SPXOCTCPM6.1%1D
SPXOCTCPM3.3%140D
SPXOCTCPM9%88D
SPXOCTCPM32%13D
SPXOCT1.2%2.9%13D
SPXOCTCPM16.6%36D
SPXOCT2.1%27.5%141D
SPXOCTCPM32.5%3D
SPXOCTCPM3%146D
SPXOCT1.5%9.4%1D
SPXOCTCPM16%123D
SPXOCTCPM24%103D
SPXOCTCPM4%12D
SPXNOV.3%1%28D
SPXNOV.7%1%62D
SPXNOV3.7%52%41D
SPXNOV.3%1%71D
SPXNOV2.3%19%5D
SPXNOVCPM5%15D
SPXNOVCPM12%4D
SPXNOVCPM7%1D
SPXDEC0.3%2.3%75D
SPXDEC2.6%4%64D
SPXDEC0.3%31%95D
SPXDECCPM20%3D
SPXDEC1.2%1.6%56D
SPXDECCPM21%42D
SPXDEC2.4%32%36D
SPXDEC1.2%6.6%15D
SPXDEC2%16%9D
SPXDECCPM22%50D
SPXDEC3.2%24%10D
SPXDECCPM7.5%68D
SPXDEC14%50%40D
SPYDEC0.4%1.3%165D
SPYDEC0.2%0.5%69D
SPXDEC4%24%94D
SPXDEC5%18%21D
Each percentage shows simulated trade P&L relative to the modeled buying-power requirement for that margin method. Reg-T and portfolio-margin requirements differ, so the percentages can differ substantially. Portfolio-margin calculations use the OCC TIMS ±10% risk array.
2018 Paper-Trade Case Studies 14 HISTORICAL EXAMPLES · SPX
MONTH CLOSED |
Return on modeled PM BP |
DURATION IN DAYS |
METHOD |
|
|---|---|---|---|---|
MAR |
221% |
6 |
CORE V |
|
APR |
86% |
3 |
CORE V |
|
MAY |
7% |
6 |
CORE V |
|
MAY |
15% |
22 |
CORE V |
|
MAY |
3% |
35 |
CORE V |
|
JUN |
41% |
6 |
CORE V |
|
JUN |
130% |
10 |
CORE V |
|
JUL |
9% |
10 |
CORE V |
|
JUL |
11% |
17 |
CORE V |
|
AUG |
4% |
7 |
CORE V |
|
OCT |
1.5% |
34 |
CORE V |
|
OCT |
9% |
6 |
CORE V |
|
OCT |
29% |
9 |
CORE V |
|
NOV |
22% |
34 |
CORE V |
Each percentage shows simulated trade P&L relative to the modeled buying-power requirement for that margin method. Reg-T and portfolio-margin requirements differ, so the percentages can differ substantially. Portfolio-margin calculations use the OCC TIMS ±10% risk array.
2019 Paper-Trade Case Studies 45 HISTORICAL EXAMPLES · VARIOUS TICKERS
MONTH CLOSED |
RETURN ON MODELED REG-T BP |
RETURN ON MODELED PM BP |
DURATION IN DAYS |
|
|---|---|---|---|---|
JAN |
1.6% |
41.7% |
11 |
|
JAN |
2.1% |
2.8% |
27 |
|
FEB |
2.3% |
5.7% |
8 |
|
FEB |
CPM |
3.8% |
2 |
|
FEB |
2.2% |
2.1% |
15 |
|
FEB |
.1% |
2.4% |
35 |
|
MAR |
CPM |
.3% |
157 |
|
APR |
2.9% |
3.3% |
24 |
|
APR |
2.1% |
6.3% |
21 |
|
APR |
2.1% |
2.8% |
47 |
|
MAY |
2.6% |
4.3% |
3 |
|
MAY |
1.8% |
15% |
50 |
|
MAY |
2.3% |
26% |
57 |
|
MAY |
1.2% |
4% |
156 |
|
MAY |
CPM |
20% |
58 |
|
JUN |
2% |
2% |
72 |
|
JUN |
1.3% |
2.4% |
30 |
|
JUN |
2.1% |
3.6% |
36 |
|
JUN |
2% |
2% |
128 |
|
JUL |
CPM |
4.5% |
52 |
|
JUL |
CPM |
4.4% |
60 |
|
JUL |
CPM |
261% |
7 |
|
JUL |
CPM |
28.7% |
1 |
|
JUL |
2.3% |
14% |
72 |
|
JUL |
1.5% |
17% |
55 |
|
JUL |
-.8% |
-.8% |
59 |
|
AUG |
CPM |
23% |
2 |
|
AUG |
CPM |
22% |
5 |
|
AUG |
CPM |
49% |
6 |
|
AUG |
.5% |
4% |
81 |
|
AUG |
2.6% |
10% |
3 |
|
AUG |
0% |
.1% |
241 |
|
AUG |
4.6% |
18% |
15 |
|
SEP |
CPM |
8.6% |
60 |
|
SEP |
0% |
0% |
70 |
|
SEP |
.1% |
.3% |
71 |
|
SEP |
CPM |
4.8% |
253 |
|
OCT |
CPM |
23% |
3 |
|
OCT |
2.6% |
16% |
69 |
|
NOV |
1.3% |
9% |
56 |
|
NOV |
0% |
2% |
238 |
|
DEC |
3.8% |
4.8% |
109 |
|
DEC |
4.1% |
133% |
37 |
|
DEC |
2.8% |
95% |
119 |
|
DEC |
.6% |
1.8% |
137 |
Each percentage shows simulated trade P&L relative to the modeled buying-power requirement for that margin method. Reg-T and portfolio-margin requirements differ, so the percentages can differ substantially. Portfolio-margin calculations use the OCC TIMS ±10% risk array.
2019 Paper-Trade Case Studies 19 HISTORICAL EXAMPLES · SPX
MONTH CLOSED |
Return on modeled PM BP |
DURATION IN DAYS |
METHOD |
|
|---|---|---|---|---|
JAN |
1.2% |
3 |
CORE V |
|
JAN |
70% |
4 |
CORE V |
|
FEB |
6% |
2 |
CORE V |
|
FEB |
13% |
6 |
CORE V |
|
MAR |
15% |
20 |
CORE V |
|
APR |
9% |
12 |
CORE V |
|
MAY |
9% |
6 |
CORE V |
|
JUL |
39% |
1 |
CORE V |
|
AUG |
12.5% |
3 |
CORE V |
|
AUG |
27% |
3 |
CORE V |
|
AUG |
21% |
3 |
CORE V |
|
SEP |
12% |
29 |
CORE V |
|
SEP |
0% |
262 |
CORE V |
|
OCT |
66% |
70 |
CORE V |
|
OCT |
28% |
3 |
CORE V |
|
OCT |
14% |
23 |
CORE V |
|
DEC |
9% |
1 |
CORE V |
|
DEC |
10% |
11 |
CORE V |
|
DEC |
14% |
3 |
CORE V |
Each percentage shows simulated trade P&L relative to the modeled buying-power requirement for that margin method. Reg-T and portfolio-margin requirements differ, so the percentages can differ substantially. Portfolio-margin calculations use the OCC TIMS ±10% risk array.
2020 Paper-Trade Case Studies Reg-T & Portfolio-margin examples · 45 trades
MONTH CLOSED |
RETURN ON MODELED REG-T BP |
RETURN ON MODELED PM BP |
DURATION IN DAYS |
METHOD |
|
|---|---|---|---|---|---|
JAN |
CPM |
8.5% |
16 |
CORE IV |
|
JAN |
3.6% |
52% |
73 |
CORE II |
|
FEB |
5% |
137% |
12 |
CORE II |
|
FEB |
CPM |
4% |
4 |
CORE IV |
|
FEB |
1% |
REG-T |
97 |
CORE III |
|
FEB |
0% |
REG-T |
68 |
CORE III |
|
FEB |
4.4% |
15% |
25 |
CORE II |
|
FEB |
3% |
89% |
2 |
CORE II |
|
FEB |
12% |
55% |
189 |
CORE II |
|
FEB |
6.5% |
311% |
57 |
CORE II |
|
FEB |
3.5% |
23% |
22 |
CORE III |
|
FEB |
6% |
447% |
2 |
CORE II |
|
MAR |
CPM |
35% |
41 |
CORE IV |
|
MAR |
CPM |
55% |
7 |
CORE IV |
|
MAR |
CPM |
26% |
7 |
CORE IV |
|
MAR |
CPM |
86% |
5 |
CORE IV |
|
MAR |
5.3% |
29% |
3 |
CORE II |
|
MAR |
6% |
63% |
64 |
CORE III |
|
MAR |
9% |
191% |
5 |
CORE II |
|
MAR |
CPM |
83% |
1 |
CORE IV |
|
MAR |
CPM |
126% |
1 |
CORE IV |
|
MAR |
8% |
142% |
5 |
CORE II |
|
MAR |
17% |
88% |
14 |
CORE III |
|
MAR |
9% |
106% |
9 |
CORE II |
|
MAR |
12% |
113% |
21 |
CORE III |
|
MAR |
0% |
0% |
164 |
CORE III |
|
MAR |
CPM |
88% |
4 |
CORE IV |
|
MAR |
CPM |
8% |
14 |
CORE IV |
|
MAR |
4.3% |
186% |
3 |
CORE II |
|
MAR |
2.5% |
81% |
2 |
CORE I |
|
MAR |
3% |
78% |
14 |
CORE II |
|
MAR |
2.3% |
56% |
18 |
CORE I |
|
APR |
4.5% |
15% |
7 |
CORE II |
|
APR |
CPM |
8% |
7 |
CORE IV |
|
APR |
5% |
177% |
10 |
CORE II |
|
APR |
1.2% |
23% |
13 |
CORE 1 |
|
MAY |
2.6% |
33% |
18 |
CORE III |
|
MAY |
3.8% |
82% |
9 |
CORE III |
|
MAY |
3% |
31% |
21 |
CORE III |
|
MAY |
9.3% |
154% |
7 |
EXPERIMENTAL |
|
MAY |
CPM |
87% |
12 |
EXPERIMENTAL |
|
MAY |
1.8% |
68% |
50 |
CORE III |
|
MAY |
3.4% |
56% |
28 |
CORE II |
|
MAY |
2.5% |
66% |
17 |
CORE III |
|
JUN |
3% |
20% |
36 |
CORE II |
|
JUN |
2% |
70% |
68 |
CORE II |
|
JUN |
2.7% |
75% |
11 |
CORE II |
|
JUN |
2.7% |
114% |
32 |
CORE III |
|
JUL |
5.5% |
126% |
61 |
EXPERIMENTAL |
|
AUG |
2.5% |
6.5% |
116D |
CORE II |
Each percentage shows simulated trade P&L relative to the modeled buying-power requirement for that margin method. Reg-T and portfolio-margin requirements differ, so the percentages can differ substantially. Portfolio-margin calculations use the OCC TIMS ±10% risk array.
2020 Paper-trade case studies Portfolio-margin examples · 33 trades
MONTH CLOSED |
RETURN ON MODELED PM BP |
DURATION IN DAYS |
METHOD |
|
|---|---|---|---|---|
JAN |
37% |
23 |
CORE V |
|
JAN |
61% |
4 |
CORE V |
|
JAN |
62% |
8 |
CORE V |
|
FEB |
168% |
13 |
CORE V |
|
FEB |
95% |
4 |
CORE V |
|
FEB |
32% |
5 |
CORE V |
|
FEB |
106% |
4 |
CORE V |
|
FEB |
23% |
12 |
CORE V |
|
FEB |
40% |
19 |
CORE V |
|
FEB |
11% |
12 |
CORE V |
|
FEB |
261% |
2 |
CORE V |
|
MAR |
91% |
6 |
CORE V |
|
MAR |
137% |
5 |
CORE V |
|
MAR |
256% |
8 |
CORE V |
|
MAR |
232% |
1 |
CORE V |
|
MAR |
322% |
2 |
CORE V |
|
MAR |
309% |
7 |
CORE V |
|
MAR |
212% |
1 |
CORE V |
|
MAR |
362% |
2 |
CORE V |
|
MAR |
832% |
9 |
CORE V |
|
MAR |
196% |
1 |
CORE V |
|
MAR |
432% |
5 |
CORE V |
|
MAR |
115% |
5 |
CORE V |
|
MAR |
601% |
8 |
CORE V |
|
MAR |
824% |
11 |
CORE V |
|
APR |
142% |
9 |
CORE V |
|
APR |
70% |
6 |
CORE V |
|
MAY |
64% |
4 |
CORE V |
|
MAY |
10.7% |
9 |
CORE V |
|
MAY |
16% |
15 |
CORE V |
|
JUN |
15% |
34 |
CORE V |
|
JUN |
9.3% |
50 |
CORE V |
|
JUN |
21% |
49 |
CORE V |
|
JUL |
21% |
63 |
CORE V |
Each percentage shows simulated trade P&L relative to the modeled buying-power requirement for that margin method. Reg-T and portfolio-margin requirements differ, so the percentages can differ substantially. Portfolio-margin calculations use the OCC TIMS ±10% risk array.
These historical paper-trade examples are presented for educational and illustrative purposes. They were not executed through a brokerage account and do not represent actual client account results or recommendations to enter or exit trades.
Trade values were calculated using closing midpoint prices in a paper account. Some examples were recorded during market hours and others after the market close. Commissions are not included. Midpoint prices may differ from prices available in live trading, and modeled margin requirements may differ from those imposed by a broker.
The tables do not show interim losses or maximum drawdowns while trades were open. The reported percentages therefore do not show the full path or risk of each simulated trade.
These company-maintained records have not been independently audited. Hypothetical results have limitations and do not predict future performance. PM means Customer Portfolio Margin. Nothing on this page is investment advice or a recommendation to trade.
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