Trading Idea

FxMath Stochastic Trader employs multiple trading strategies working together, basically the trend / swing strategy.

Specifications

License

EA Auto Installer working on all builds +600 of MetaTrader 4 & Licensed for One Real or One Demo Account.

Broker / VPS

Can Run with Any Forex Broker, While We Recommend Installing it on TradingFX VPS and Using it on Tickmill Forex Brokers for the Best Stability and Profitability.

User Manual

Included with the EA (Friendly EA Setting).

Support & Updates

Professional 24/7 Support, Free Settings for Other Pairs and Life Time Updates.

Guarantee

30-Day Money Back Guarantee PLUS 12-Months Performance Guarantee Against any Metatrader Major Updates. Both are Provided by the EA Vendor.

Supported Currency Pairs

EURUSD, GBPUSD, EURJPY, USDCAD, USDCHF & USDJPY

MetaTrader Chart Timeframe

H1

Backtests (H1 - 2012 to 2014 - 99% Modelling Quality Tick Data)

View Full Backtest

Backtests Settings

Symbol
EURJPY (Euro vs Japanese Yen)
Period
1 Hour (H1) 2012.01.01 22:00 - 2014.10.24 20:59 (2012.01.01 - 2015.01.01)
Broker
Model
Every tick (the most precise method based on all available least timeframes)
Parameters
Bars in test
17560
Ticks modelled
40887141
Modelling quality
99.00%
Initial Deposit
$1000.00
Spread
Current (30)

Backtests Results

Total net profit
3522.55
Gross profit
6963.65
Gross loss
-3441.11
Profit factor
2.02
Expected payoff
13.19
Absolute Bal DD
174.97
Maximal Bal DD
453.99 (17.79%)
Relative Bal DD
22.97% (371.32)
Total Trades
267
Short positions (won %)
59 (81.36%)
Long positions (won %)
208 (78.85%)
Profit trades (% of total)
212 (79.40%)
Loss trades (% of total)
55 (20.60%)
Largest Profit trade
84.58
Largest Loss trade
-215.84
Average Profit trade
32.85
Average Loss trade
-62.57
Maximum consecutive wins (profit in money)
29 (991.21)
Maximum consecutive losses (loss in money)
3 (-72.06)
Maximal consecutive profit (count of wins)
991.21 (29)
Maximal consecutive loss (count of losses)
-254.90 (2)
Avarage consecutive wins
5
Avarage consecutive losses
1
View Full Backtest

Backtests Settings

Symbol
EURUSD (Euro vs US Dollar)
Period
1 Hour (H1) 2012.01.01 22:00 - 2014.10.30 23:59 (2012.01.01 - 2015.01.01)
Broker
Model
Every tick (the most precise method based on all available least timeframes)
Parameters
Bars in test
17682
Ticks modelled
34095958
Modelling quality
99.00%
Initial Deposit
$1000.00
Spread
Current (25)

Backtests Results

Total net profit
3003.10
Gross profit
4483.60
Gross loss
-1480.50
Profit factor
3.03
Expected payoff
15.17
Absolute Bal DD
113.60
Maximal Bal DD
372.60 (17.83%)
Relative Bal DD
17.83% (372.60)
Total Trades
198
Short positions (won %)
84 (80.95%)
Long positions (won %)
114 (79.82%)
Profit trades (% of total)
159 (80.30%)
Loss trades (% of total)
39 (19.70%)
Largest Profit trade
45.80
Largest Loss trade
-192.78
Average Profit trade
28.20
Average Loss trade
-37.96
Maximum consecutive wins (profit in money)
14 (349.86)
Maximum consecutive losses (loss in money)
2 (-235.70)
Maximal consecutive profit (count of wins)
385.84 (13)
Maximal consecutive loss (count of losses)
-235.70 (2)
Avarage consecutive wins
5
Avarage consecutive losses
1
View Full Backtest

Backtests Settings

Symbol
GBPUSD (Great Britain Pound vs US Dollar)
Period
1 Hour (H1) 2012.01.01 22:00 - 2014.10.24 20:59 (2012.01.01 - 2015.01.01)
Broker
Model
Every tick (the most precise method based on all available least timeframes)
Parameters
Bars in test
17575
Ticks modelled
28864127
Modelling quality
99.00%
Initial Deposit
$1000.00
Spread
Current (30)

Backtests Results

Total net profit
3459.39
Gross profit
7466.00
Gross loss
-4006.62
Profit factor
1.86
Expected payoff
17.04
Absolute Bal DD
23.90
Maximal Bal DD
423.59 (23.38%)
Relative Bal DD
27.22% (392.77)
Total Trades
203
Short positions (won %)
104 (57.69%)
Long positions (won %)
99 (58.59%)
Profit trades (% of total)
118 (58.13%)
Loss trades (% of total)
85 (41.87%)
Largest Profit trade
176.20
Largest Loss trade
-127.56
Average Profit trade
63.27
Average Loss trade
-47.14
Maximum consecutive wins (profit in money)
7 (480.41)
Maximum consecutive losses (loss in money)
5 (-256.20)
Maximal consecutive profit (count of wins)
480.41 (7)
Maximal consecutive loss (count of losses)
-362.51 (4)
Avarage consecutive wins
2
Avarage consecutive losses
2
View Full Backtest

Backtests Settings

Symbol
USDCAD (US Dollar vs Canadian Dollar)
Period
1 Hour (H1) 2012.01.01 22:00 - 2014.10.24 20:59 (2012.01.01 - 2015.01.01)
Broker
Model
Every tick (the most precise method based on all available least timeframes)
Parameters
Bars in test
17574
Ticks modelled
19559327
Modelling quality
99.00%
Initial Deposit
$1000.00
Spread
Current (30)

Backtests Results

Total net profit
1885.17
Gross profit
4116.44
Gross loss
-2231.27
Profit factor
1.84
Expected payoff
7.09
Absolute Bal DD
154.30
Maximal Bal DD
221.70 (11.22%)
Relative Bal DD
18.45% (191.36)
Total Trades
266
Short positions (won %)
39 (74.36%)
Long positions (won %)
227 (61.23%)
Profit trades (% of total)
168 (63.16%)
Loss trades (% of total)
98 (36.84%)
Largest Profit trade
64.01
Largest Loss trade
-147.19
Average Profit trade
24.50
Average Loss trade
-22.77
Maximum consecutive wins (profit in money)
8 (235.00)
Maximum consecutive losses (loss in money)
4 (-173.96)
Maximal consecutive profit (count of wins)
235.00 (8)
Maximal consecutive loss (count of losses)
-173.96 (4)
Avarage consecutive wins
2
Avarage consecutive losses
1
View Full Backtest

Backtests Settings

Symbol
USDCHF (US Dollar vs Swiss Franc)
Period
1 Hour (H1) 2012.01.01 22:00 - 2014.10.24 20:59 (2012.01.01 - 2015.01.01)
Broker
Model
Every tick (the most precise method based on all available least timeframes)
Parameters
Bars in test
17580
Ticks modelled
24838059
Modelling quality
99.00%
Initial Deposit
$1000.00
Spread
Current (30)

Backtests Results

Total net profit
4074.90
Gross profit
7958.20
Gross loss
-3883.30
Profit factor
2.05
Expected payoff
14.35
Absolute Bal DD
390.77
Maximal Bal DD
390.98 (39.09%)
Relative Bal DD
39.09% (390.98)
Total Trades
284
Short positions (won %)
143 (61.54%)
Long positions (won %)
141 (66.67%)
Profit trades (% of total)
182 (64.08%)
Loss trades (% of total)
102 (35.92%)
Largest Profit trade
165.83
Largest Loss trade
-209.15
Average Profit trade
43.73
Average Loss trade
-38.07
Maximum consecutive wins (profit in money)
9 (400.88)
Maximum consecutive losses (loss in money)
5 (-246.18)
Maximal consecutive profit (count of wins)
501.95 (8)
Maximal consecutive loss (count of losses)
-259.90 (4)
Avarage consecutive wins
3
Avarage consecutive losses
2
View Full Backtest

Backtests Settings

Symbol
USDJPY (US Dollar vs Japanese Yen)
Period
1 Hour (H1) 2012.01.01 22:01 - 2014.10.30 23:59 (2012.01.01 - 2015.01.01)
Broker
Model
Every tick (the most precise method based on all available least timeframes)
Parameters
Bars in test
17659
Ticks modelled
25708250
Modelling quality
99.00%
Initial Deposit
$1000.00
Spread
Current (30)

Backtests Results

Total net profit
3457.31
Gross profit
5901.96
Gross loss
-2444.65
Profit factor
2.41
Expected payoff
15.16
Absolute Bal DD
67.94
Maximal Bal DD
409.51 (12.92%)
Relative Bal DD
12.92% (409.51)
Total Trades
228
Short positions (won %)
30 (53.33%)
Long positions (won %)
198 (65.15%)
Profit trades (% of total)
145 (63.60%)
Loss trades (% of total)
83 (36.40%)
Largest Profit trade
104.60
Largest Loss trade
-210.37
Average Profit trade
40.70
Average Loss trade
-29.45
Maximum consecutive wins (profit in money)
9 (369.18)
Maximum consecutive losses (loss in money)
5 (-224.43)
Maximal consecutive profit (count of wins)
370.63 (8)
Maximal consecutive loss (count of losses)
-224.43 (5)
Avarage consecutive wins
3
Avarage consecutive losses
1

FxMath Stochastic Trader's Trading Strategy

Stochastic Indicator

The strategy built up in FxMath EA only uses Stochastic Indicator to determine the Entry and Exit points, it compares between different stochastic values to detect the major trends in the market to enter it, while the end of trend by comparing between two stochastic values.

Stochastic Oscillator

It was developed by George C. Lane in the late 1950's, it's a momentum indicator that can reveal the location of the close relative to the high-low range over a set number of periods. According to an interview with Lane, the Stochastic Oscillator;

doesn't follow price, it doesn't follow volume or anything like that. It follows the speed or the momentum of price. As a rule, the momentum changes direction before price.

So that the ascendant and descendant deviations in the Stochastic Oscillator can be used to indicate reversals. This was the primer, and most important, signal identified by Lane, that can also be used to identify bull and bear set-ups to predict a future reversal and as it is range bound, it can also be used to identify overbought and oversold levels.

  %K = (Current Close - Lowest Low)/(Highest High - Lowest Low) * 100  %D = 3-day SMA of %K    Lowest Low = lowest low for the look-back period  Highest High = highest high for the look-back period  %K is multiplied by 100 to move the decimal point two places

Advantage of Multi-Strategy EAs

  • Control and reduce drawn down.
  • High profit stability.
  • Trading safety as risk is distributed on different pairs.
  • Trading safety as risk is distributed on different strategies.
  • Account free margin control.
  • Dividing profit into smaller standard portions.

Risk

Forex trading can involve the risk of loss beyond your initial deposit. It is not suitable for all investors and you should make sure you understand the risks involved, seeking independent advice if necessary.

Forex accounts typically offer various degrees of leverage and their elevated profit potential is counterbalanced by an equally high level of risk. You should never risk more than you are prepared to lose and you should carefully take into consideration your trading experience.

Past performance and simulated results are not necessarily indicative of future performance. All the content on this site represents the sole opinion of the author and does not constitute an express recommendation to purchase any of the products described in its pages.