GBP/USD
1.30459
-0.00383 (-0.3)
EUR/USD
1.18608
0.00421 (0.4)
USD/JPY
104.725
-0.145 (-0.1)
EUR/JPY
124.205
0.272 (0.2)
USD/CHF
0.90423
-0.00287 (-0.3)
USD/CAD
1.31264
-0.00087 (-0.1)
EUR/GBP
0.90929
0.00598 (0.7)
AUD/USD
0.71381
0.00203 (0.3)
EUR/CHF
1.07245
0.00027 (0.0)
GBP/JPY
136.615
-0.547 (-0.4)
GBP/CHF
1.17981
-0.00717 (-0.6)
XAU/USD
1901.83
-3.40 (-0.1)
XAG/USD
24.633
-0.134 (-0.5)
WTI
39.84
-0.91 (-2.2)
AUD/CAD
0.93715
0.00181 (0.2)
CAD/CHF
0.68915
-0.00182 (-0.3)
EUR/CAD
1.55689
0.00447 (0.3)
CAD/JPY
79.797
-0.058 (-0.1)
GBP/AUD
1.82793
-0.00980 (-0.5)
AUD/JPY
74.754
0.094 (0.1)
EUR/SGD
1.61147
0.00624 (0.4)
GBP/NZD
1.95060
-0.00921 (-0.5)
GBP/CAD
1.71258
-0.00600 (-0.3)
EUR/NZD
1.77373
0.00244 (0.1)
NZD/CHF
0.60525
-0.00082 (-0.2)
How it Works - Signal Skyline

The results are built upon hypothetical estimations, which have varying degrees of limitation.Read more...

Major pairs performance report

All results are hypnotical. These results reflect the trades made with signals and include the currently available signals from available packages. The following results are the cumulative results for signals.
Results may vary depending on system.
aud/usd - 2018/2019
Month Monthly Pips Yearly Pips
Jan 220.5 220.5
Feb 232 452.5
Mar 50.5 503
Apr 147 650
May 232.9 882.9
Jun 244.4 1127.3
Jul -34.5 1092.8
Aug 317.9 1410.7
Sep 49.6 1460.3
Oct 85.9 1546.2
Nov 171.8 1718
Dec 97.4 1815.4
TOTAL PIPS: 1815.4
2019
Jan 391.6 391.6
Feb 143 534.6
Mar 325.8 860.4
Apr 229.8 1090.2
May 325.8 1416
Jun -55.2 1360.8
Jul 354.8 1715.6
Aug 103 1818.6
Sep 259.8 2078.4
Oct 276.4 2354.8
Nov -47.1 2307.7
Dec 296 2603.7
TOTAL PIPS (detail..) 2603.7
eur/chf - 2018/2019
Month Monthly Pips Yearly Pips
Jan 174.6 174.6
Feb 197.9 372.5
Mar -21 351.5
Apr 319 670.5
May 234 904.5
Jun 174.6 1079.1
Jul 161.8 1240.9
Aug 282.9 1523.8
Sep 197.9 1721.7
Oct -83.4 1638.3
Nov 330.6 1968.9
Dec 14.2 1983.1
TOTAL PIPS: 1983.1
2019
Jan -87.5 -87.5
Feb 100 12.5
Mar 320.3 332.8
Apr 357.1 689.9
May 243.7 933.6
Jun 33.8 967.4
Jul 297 1264.4
Aug 218.6 1483
Sep 181.4 1664.4
Oct 297 1961.4
Nov 85.1 2046.5
Dec 200.5 2247
TOTAL PIPS (detail..) 2247
eur/jpy - 2018/2019
Month Monthly Pips Yearly Pips
Jan 158.2 158.2
Feb 231 389.2
Mar -96.8 292.4
Apr 376.8 669.2
May 352.6 1021.8
Jun 219 1240.8
Jul 364.6 1605.4
Aug 206.8 1812.2
Sep 231 2043.2
Oct 146 2189.2
Nov 364.6 2553.8
Dec -84.6 2469.2
TOTAL PIPS: 2469.2
2019
Jan 351 351
Feb 335.3 686.3
Mar 316 1002.3
Apr 87.5 1089.8
May 316 1405.8
Jun 203 1608.8
Jul 258.4 1867.2
Aug 301 2168.2
Sep 345.4 2513.6
Oct 250.4 2764
Nov 279 3043
Dec 337 3380
TOTAL PIPS (detail..) 3380
eur/usd - 2018/2019
Month Monthly Pips Yearly Pips
Jan 484 484
Feb 249.9 733.9
Mar 448.7 1182.6
Apr -54.8 1127.8
May 504.9 1632.7
Jun 285.2 1917.9
Jul 370.2 2288.1
Aug 185.8 2473.9
Sep 320.5 2794.4
Oct 235.5 3029.9
Nov 306.1 3336
Dec 51.1 3387.1
TOTAL PIPS: 3387.1
2019
Jan 404.7 404.7
Feb 279.2 683.9
Mar 209.5 893.4
Apr 319.6 1213
May 289.4 1502.4
Jun 261.3 1763.7
Jul 277.4 2041.1
Aug -3.8 2037.3
Sep 408.5 2445.8
Oct 267.9 2713.7
Nov 289.4 3003.1
Dec -40.8 2962.3
TOTAL PIPS (detail..) 2962.3
gbp/usd - 2018/2019
Month Monthly Pips Yearly Pips
Jan 308 308
Feb 316 624
Mar 357.4 981.4
Apr 231 1212.4
May 308 1520.4
Jun -10.2 1510.2
Jul 223 1733.2
Aug 209.2 1942.4
Sep 379.2 2321.6
Oct 181.6 2503.2
Nov -2253.6 249.6
Dec 178.4 428
TOTAL PIPS: 428
2019
Jan 296.2 296.2
Feb 269.6 565.8
Mar 226.6 792.4
Apr 302.3 1094.7
May -57.9 1036.8
Jun 359.7 1396.5
Jul 362.8 1759.3
Aug 209.5 1968.8
Sep 246.2 2215
Oct 231.1 2446.1
Nov 251.8 2697.9
Dec 288.1 2986
TOTAL PIPS (detail..) 2986
usd/cad - 2018/2019
Month Monthly Pips Yearly Pips
Jan 129 129
Feb 262 391
Mar -152 239
Apr 273 512
May 199 711
Jun 188 899
Jul 162 1061
Aug 210 1271
Sep 188 1459
Oct 155 1614
Nov 137 1751
Dec -11 1740
TOTAL PIPS: 1740
2019
Jan 176.5 176.5
Feb 120.5 297
Mar 324.9 621.9
Apr 172.3 794.2
May 115.2 909.4
Jun 153.6 1063
Jul 300 1363
Aug 263 1626
Sep -27 1599
Oct 316 1915
Nov 161.9 2076.9
Dec 277.7 2354.6
TOTAL PIPS (detail..) 2354.6
usd/chf - 2018/2019
Month Monthly Pips Yearly Pips
Jan 131.4 131.4
Feb 347.8 479.2
Mar 336.2 815.4
Apr 286 1101.4
May 239.6 1341
Jun 299.5 1640.5
Jul 287.9 1928.4
Aug 32.9 1961.3
Sep 253.1 2214.4
Oct 311.1 2525.5
Nov 67.7 2593.2
Dec 34.8 2628
TOTAL PIPS: 2628
2019
Jan 245 245
Feb 203.5 448.5
Mar 374 822.5
Apr 131 953.5
May 337 1290.5
Jun 163 1453.5
Jul 342.6 1796.1
Aug 364.4 2160.5
Sep -7.8 2152.7
Oct 306 2458.7
Nov 14 2472.7
Dec 225.8 2698.5
TOTAL PIPS (detail..) 2698.5
usd/jpy - 2018/2019
Month Monthly Pips Yearly Pips
Jan 349.3 349.3
Feb 221.1 570.4
Mar 221.1 791.5
Apr 285.2 1076.7
May -83.6 993.1
Jun 256.4 1249.5
Jul 264.3 1513.8
Aug 384.6 1898.4
Sep 256.4 2154.8
Oct 287.7 2442.5
Nov 74.4 2516.9
Dec 219.6 2736.5
TOTAL PIPS: 2736.5
2019
Jan 389.2 389.2
Feb 100.1 489.3
Mar 396.5 885.8
Apr 259.1 1144.9
May 280.3 1425.2
Jun 69.1 1494.3
Jul 272.6 1766.9
Aug 206 1972.9
Sep 250.4 2223.3
Oct 286.8 2510.1
Nov 61.8 2571.9
Dec 257.2 2829.1
TOTAL PIPS (detail..) 2829.1
xau/usd - 2018/2019
Month Monthly Pips Yearly Pips
Jan 39.45 39.45
Feb 44.85 84.3
Mar 31.8 116.1
Apr 1.2 117.3
May 47.1 164.4
Jun -2.1 162.3
Jul 54.75 217.05
Aug 27.45 244.5
Sep 67.8 312.3
Oct 32.67 344.97
Nov 20.67 365.64
Dec 20.71 386.35
TOTAL PIPS: 386.35
2019
Mar 0.82 0.82
Apr 32.88 33.7
May 18.9 52.6
Jun 6.56 59.16
TOTAL PIPS (detail..) 59.16

Results are hypothetical based

Trading is a risky process. You can lose money

Previous trade reports are not reliable prediction factors for the future. The results are built upon hypothetical estimations, which have varying degrees of limitation. Unlike actual trade performance reports, they hardly represent the real trading. Additionally, because the actual trade has not taken place, hypothetical reports may have regulated or increased the impact of critical market risk factors like a lack of liquidity. Hypothetical or simulated trade reports are also governed by the fact that they are aimed at benefitting the hindsight. No form of claim can be issued to indicate that an account will achieve the margins of profits and losses as indicated.

Additionally, simulated or hypothetical trade results have no financial risks. No hypothetical representation can account for the financial risks attached to an actual trade. For instance, the financial power to endure losses, or practice a particular trade plan despite experiencing losses are factors that impact a real trade account. Other factors that affect markets in general exist and may influence the implementation of a particular trading program. Such factors cannot be held to account for representations of hypothetical nature, but negatively affect performances of actual trade reports.

Future projections of the forex markets indicate the possibility of huge losses. Among other stock trading spaces, online forex trading platforms are highly volatile and pose numerous financial risks.

Important

Hypothetically speaking, if you were to be on the losing end, then take caution now. Avoid trading with an amount of money whose loss will mean serious financial problems.

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