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{{gs.pair_gsum.buy_percents}}%
Strong Buy Buy
{{gs.currency_pair}}
{{gs.pair_gsum.buy_percents}}%
TARGET
{{gs.currency_pair}}{{gs.price}}
{{gs.pair_gsum.sell_percents}}%
Sell Strong Sell
{{gs.currency_pair}}
{{gs.pair_gsum.sell_percents}}%
TARGET
{{gs.currency_pair}}{{gs.price}}
{{gs.pair_gsum.buy_percents}}%
Neutral
{{gs.currency_pair}}
{{gs.pair_gsum.buy_percents}}%
TARGET
GBP/USD
1.31872
-0.00711 (-0.6)
EUR/USD
1.08354
0.00133 (0.1)
USD/JPY
157.091
0.359 (0.2)
EUR/JPY
170.213
0.598 (0.3)
USD/CHF
0.91429
-0.00066 (-0.2)
USD/CAD
1.36827
-0.00098 (-0.1)
EUR/GBP
0.85212
0.00130 (0.1)
AUD/USD
0.66289
0.00118 (0.1)
EUR/CHF
0.99066
0.00039 (-0.0)

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

Perforemnce Report - AUD/USD

Range: Jan-01-2018 - Dec-31-2023 | Forex & Commodities | Pair: AUD/USD

932

#Total Trade

543

Number of profitable

58.26%

Profit trades %

389

Number of loss trade:

41.74%

Loss trades %

52.79

Avg Win
Hypothetical Performance*

Standard Plan

us $99 save50%

US $49 per month

performance metric

SUMMARY STATISTICS

Total Trades:
932
# Winners
543
# Losers
389
% Winners
58.26
% Losers
41.74
Avg Loss
-36.71
Avg Win
52.79
Year
2018

Monthly performance metric

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2018 220.5 232 50.5 147 232.9 244.4 -34.5 317.9 49.6 85.9 171.8 97.4
2019 391.6 143 325.8 229.8 325.8 -55.2 354.8 103 259.8 276.4 -47.1 296
2020 219.7 134.6 207.2 -41.6 161.6 161.6 -60.2 307.8 151 -38.8 160.3 61.7
2021 246.8 174.6 285.2 272.4 236.3 -21.7 173.2 283.6 198.6 368.6 354.4 156
2022 439 95.5 -80 380.5 439 227 249 241.5 322 257.6 -12 371.8
2023 192 117.6 340.8 372 -82 317.2 377.2 234 389.6 305.6 -37.2 318

OVERALL PERFORMANCE STATISTICS

METRICS

Total Net Profit (pips):
14384
Profit factor
-2.01
Total Trades:
932
number of profitable:
543
% of profitable:
58.26%
Number of loss trade:
389
% of loss trade:
41.74%
Expected Payoff:
15.43
Total Long Position
479
Total Short Position
453
Long position won:
281
% Long position won:
58.66%
Long position lost:
198
% Long position lost:
41.34%
Short position won:
262
% Short position won:
58%
Short position lost:
191
% Short position lost:
42%
Win / Loss
Avg Loss
-36.71
Avg Win
52.79
# Winners
543
% Winners
58.26%
# Losers
389
% Losers
41.74%
Risk
Best trade:
69.3
Worse trade
-40.7
W:L ratio
466
 
 

Trading Record

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

Signal Date Type Item Entry Stop Lose Take Profit TP/SL Date Exit Level Win/Loss Yearly Pips
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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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HOW WE GENERATE SIGNALS
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