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Outline
• Strategy from my Trade Launch Systems
• Using Automated Trading to eliminate emotions
• Putting it all Together
Ways to Trade
• Following momentum (go with)
• Trading at extremes (regressive)
• Entering pullbacks in trends (retracement)
• We need to match signals for these three concepts
Trading Strategy
Introduction to Strategies
• Be prepared to zoom out to gain perspective
• Trade with the most obvious direction
• Don’t trade every signal nor strategy
• Specialise (master 1 strategy first)
Trading Strategy
Introduction to Strategies
• No hard and fast rules
• Very few perfect patterns
• Reduce your trade frequency (quality over quantity)
Trading Strategy
Introduction to Strategies
• Higher time frames produce more accurate trading
signals
• Avoid intraday charts
• there is too much noise
• the smaller the time frame, the closer you get to gambling.
• There is no logic or flow in 1 min charts
• 4 hourly and daily are most effective
Trading Strategy
Introduction to Strategies
• let them run their course / leave trades alone
• illusion of control when you stare at charts
• It can become an addiction to stare at charts
• you start to second guess yourself and change your
rules accordingly
• good trades take time to payoff
Trading Strategy
Introduction to Strategies
• Gaining a single edge
• Believing in your edge
• Discipline to stick with what is important
• Don’t complicate things
Trading Strategy
Trading Philosophy / Beliefs
• Trading is a process
• Aim for consistency
• Less is more
• Best trades will take time
• Don’t use things in isolation
• Keep it Simple
• Data Driven Decisions
Trading Strategy
• Ignition Strategy (8 / 21)
• Trend following strategy
• Trend alignment is critical
• Simple rules to implement
• Use some discretion (e.g. S / R)
• Periodicity
• Dynamic support and resistance
Trade Launch Systems
• Strategy 8 / 21 Entry Rules
• Signal
• Use 8-period EMA and 21-period EMA
• Crossover signals short term trend
• Don’t trade every single signal
• Filters
• Use 125-period EMA to identify bias
• Price in relationship to EMA
• Direction of EMA
Trade Launch Systems
• Strategy 8 / 21 Entry Rules
• Long
• 8-period EMA crosses above 21-period EMA
• Price is trading above 125-period EMA
• 125-period EMA is rising
• Short
• 8-period EMA crosses below 21-period EMA
• Price is trading below 125-period EMA
• 125-period EMA is falling
Trade Launch Systems
• Strategy 8 / 21 Entry Rules
• Long
• 8-period EMA crosses above 21-period EMA
• Price is trading above 125-period EMA
• 125-period EMA is rising
• Short
• 8-period EMA crosses below 21-period EMA
• Price is trading below 125-period EMA
• 125-period EMA is falling
Trade Launch Systems
8-period
EMA
21-period
EMA
125-period
EMA
Trade Launch Systems
Trade Launch Systems
8-period
EMA
21-period
EMA
125-period
EMA
Trade Launch Systems
8-period
EMA
21-period
EMA
125-period
EMA
• Strategy 8 / 21 Exit Rules
• Stop Losses
• Consider key levels
• Consider ATR
• Use technical levels
• Profit Targets
• Use multiple of stop loss (Reward to Risk)
• Consider key levels
• Trailing Stops
• Consider use of initial stop loss
Trade Launch Systems
• 8 / 21 Entry Rules
• Long
• 8-period EMA crosses
above 21-period EMA
• Price is trading above 125-
period EMA
• 125-period EMA is rising
• Short
• 8-period EMA crosses below
21-period EMA
• Price is trading below 125-
period EMA
• 125-period EMA is falling
Trade Launch Systems
• 8 / 21 Exit Rules
• Stop Losses
• Consider key levels
• Consider ATR
• Use technical levels
• Profit Targets
• Use multiple of stop loss
(Reward to Risk)
• Consider key levels
• Trailing Stops
• Consider use of initial stop
loss
Trade Launch Systems
Automated Trading
Trading Pains
Information
Overload
Human Factors
And Emotions
Trading Around
The Clock
• Traders across the globe all
face the same 3 challenges:
1. Abundance of data creates
information overload
2. Emotions drive poor
trading decisions
3. 24-hour nature of FX
markets make efficient
human trading impossible
Automated Trading
Institutional
Retail
Adoption of automated FX trading
(% of total volume)80
70
60
50
30
20
10
2004 2007 2010 2013
• One solution is automated
trading systems.
• While about 75% of the
institutional FX trading
volume is automated,
automation only accounts
for about 25% of the retail
volume.
Automated Trading
Institutional
Retail
Adoption of automated FX trading
(% of total volume)80
70
60
50
30
20
10
2004 2007 2010 2013
• Trade unemotionally
based on data and rules
• Objectively monitor
performance
• Assess each system’s
metrics and employ as
you see fit
Automated Trading
Design
Test
Trade
Analyse
• MT4/5 is most widely
used
• Many options available:
• Custom Exits or PIPs
• Maximum trades / lots
• Money Management
options
• Trading sessions
• Allows strategy / back
testing
Automated Trading
Design
Test
Trade
Analyse
Back testing
• The application of a set of
rules to historical data
• Determining likely historical
profitability and overall
performance
• Time taken vs accuracy
• Does have limitations
Automated Trading
Design
Test
Trade
Analyse
Back testing
• Detailed and summary
statistics
• Number of trades
• # of profit and loss
• Average profit and loss
• Average time in trade
• Detailed trade history
• Balance and Drawdown
chart
Automated Trading
Design
Test
Trade
Analyse
Forward testing on
demo account
• Consider forward testing
• Detailed performance
analytics / trading statistics
• Continue to review / modify
• Similar results to back
testing
Automated Trading
Design
Test
Trade
Analyse
• Bollinger Bands (BB) Strategy
• BB1
• 10 minute chart, applied to close using 20 periods and
1 standard deviation
• BB4
• 10 minute chart, applied to close using 20 periods and
4 standard deviations
• EURUSD
• This strategy has been tested on and designed for the
EURUSD
Automated Trading
• Bollinger Bands Strategy Entry Rules
• Long
• price crosses from above to below the lower band of
BB4, as measured on the previous bar
• Short
• price crosses from below to above the upper band of
BB4, as measured on the previous bar
Automated Trading
• Bollinger Bands Strategy Exit Rules
• Long
• price crosses from below to above the upper band of
BB1, as measured on the previous bar
• Short
• price crosses from above to below the lower band of
BB1, as measured on the previous bar
• Long and Short
• Stop loss set at 25 pips
Automated Trading
Automated Trading
• Bollinger Bands Strategy Results
Automated Trading
Annualized profit: 54.66%
Strike rate: 5.8%
EURUSD
• RSI Strategy Entry Rules
• Long
• RSI is below 30
• Short
• RSI is above 70
• This strategy is always in a position
• 5 minutes chart
• This strategy has been tested on and designed
for the USDCAD
Automated Trading
• RSI Strategy Results
Automated Trading
Annualized profit: 9.42%
Strike rate: 62.6%
USDCAD
• Stochastic Oscillator Entry Rules
• Long
• Stochastic is below 20
• Short
• Stochastic is above 80
• This strategy is always in a position
• 5 minutes chart
• This strategy has been tested on and designed
for the USDCAD
Automated Trading
• Stochastic Strategy Results
Automated Trading
Annualized profit: 24.97%
Strike rate: 65.1%
USDCAD
Reward / Risk
• Strike rate is less important in building a healthy
equity curve
• Risk / reward and its relationship to strike rate is
more important
• Big losses can have a big impact on our equity
curve and need to be avoided at all costs
• Controlling our risk and consistency is the key
Automated Trading
Reward / Risk
Automated Trading
$22,000
$24,200
$26,620
$29,282
$14,641
$16,105
$17,716
$19,487
$21,436
$10,718
-20000
-15000
-10000
-5000
0
5000
10000
15000
20000
25000
30000
35000
1 2 3 4 5 6 7 8 9 10
AccountBalance
Trade Number
Reward / Risk
Automated Trading
Strike Rate
(For 200 trades)
Wins Losses Reward / Risk Profit (R)
10% 20 180 11 to 1 40R
20% 40 160 5 to 1 40R
30% 60 140 3 to 1 40R
40% 80 120 2 to 1 40R
50% 100 100 2 to 1 100R
66% 132 68 1 to 1 64R
75% 150 50 0.5 to 1 25R
80% 160 40 0.5 to 1 40R
90% 180 20 0.5 to 1 70R
100% 200 0 0.5 to 1 100R

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Stuart mcphee

  • 1.
  • 2. Outline • Strategy from my Trade Launch Systems • Using Automated Trading to eliminate emotions • Putting it all Together
  • 3. Ways to Trade • Following momentum (go with) • Trading at extremes (regressive) • Entering pullbacks in trends (retracement) • We need to match signals for these three concepts Trading Strategy
  • 4. Introduction to Strategies • Be prepared to zoom out to gain perspective • Trade with the most obvious direction • Don’t trade every signal nor strategy • Specialise (master 1 strategy first) Trading Strategy
  • 5. Introduction to Strategies • No hard and fast rules • Very few perfect patterns • Reduce your trade frequency (quality over quantity) Trading Strategy
  • 6. Introduction to Strategies • Higher time frames produce more accurate trading signals • Avoid intraday charts • there is too much noise • the smaller the time frame, the closer you get to gambling. • There is no logic or flow in 1 min charts • 4 hourly and daily are most effective Trading Strategy
  • 7. Introduction to Strategies • let them run their course / leave trades alone • illusion of control when you stare at charts • It can become an addiction to stare at charts • you start to second guess yourself and change your rules accordingly • good trades take time to payoff Trading Strategy
  • 8. Introduction to Strategies • Gaining a single edge • Believing in your edge • Discipline to stick with what is important • Don’t complicate things Trading Strategy
  • 9. Trading Philosophy / Beliefs • Trading is a process • Aim for consistency • Less is more • Best trades will take time • Don’t use things in isolation • Keep it Simple • Data Driven Decisions Trading Strategy
  • 10. • Ignition Strategy (8 / 21) • Trend following strategy • Trend alignment is critical • Simple rules to implement • Use some discretion (e.g. S / R) • Periodicity • Dynamic support and resistance Trade Launch Systems
  • 11. • Strategy 8 / 21 Entry Rules • Signal • Use 8-period EMA and 21-period EMA • Crossover signals short term trend • Don’t trade every single signal • Filters • Use 125-period EMA to identify bias • Price in relationship to EMA • Direction of EMA Trade Launch Systems
  • 12. • Strategy 8 / 21 Entry Rules • Long • 8-period EMA crosses above 21-period EMA • Price is trading above 125-period EMA • 125-period EMA is rising • Short • 8-period EMA crosses below 21-period EMA • Price is trading below 125-period EMA • 125-period EMA is falling Trade Launch Systems
  • 13. • Strategy 8 / 21 Entry Rules • Long • 8-period EMA crosses above 21-period EMA • Price is trading above 125-period EMA • 125-period EMA is rising • Short • 8-period EMA crosses below 21-period EMA • Price is trading below 125-period EMA • 125-period EMA is falling Trade Launch Systems
  • 17. • Strategy 8 / 21 Exit Rules • Stop Losses • Consider key levels • Consider ATR • Use technical levels • Profit Targets • Use multiple of stop loss (Reward to Risk) • Consider key levels • Trailing Stops • Consider use of initial stop loss Trade Launch Systems
  • 18. • 8 / 21 Entry Rules • Long • 8-period EMA crosses above 21-period EMA • Price is trading above 125- period EMA • 125-period EMA is rising • Short • 8-period EMA crosses below 21-period EMA • Price is trading below 125- period EMA • 125-period EMA is falling Trade Launch Systems • 8 / 21 Exit Rules • Stop Losses • Consider key levels • Consider ATR • Use technical levels • Profit Targets • Use multiple of stop loss (Reward to Risk) • Consider key levels • Trailing Stops • Consider use of initial stop loss
  • 20.
  • 21. Automated Trading Trading Pains Information Overload Human Factors And Emotions Trading Around The Clock
  • 22. • Traders across the globe all face the same 3 challenges: 1. Abundance of data creates information overload 2. Emotions drive poor trading decisions 3. 24-hour nature of FX markets make efficient human trading impossible Automated Trading Institutional Retail Adoption of automated FX trading (% of total volume)80 70 60 50 30 20 10 2004 2007 2010 2013
  • 23. • One solution is automated trading systems. • While about 75% of the institutional FX trading volume is automated, automation only accounts for about 25% of the retail volume. Automated Trading Institutional Retail Adoption of automated FX trading (% of total volume)80 70 60 50 30 20 10 2004 2007 2010 2013
  • 24. • Trade unemotionally based on data and rules • Objectively monitor performance • Assess each system’s metrics and employ as you see fit Automated Trading Design Test Trade Analyse
  • 25. • MT4/5 is most widely used • Many options available: • Custom Exits or PIPs • Maximum trades / lots • Money Management options • Trading sessions • Allows strategy / back testing Automated Trading Design Test Trade Analyse
  • 26. Back testing • The application of a set of rules to historical data • Determining likely historical profitability and overall performance • Time taken vs accuracy • Does have limitations Automated Trading Design Test Trade Analyse
  • 27. Back testing • Detailed and summary statistics • Number of trades • # of profit and loss • Average profit and loss • Average time in trade • Detailed trade history • Balance and Drawdown chart Automated Trading Design Test Trade Analyse
  • 28. Forward testing on demo account • Consider forward testing • Detailed performance analytics / trading statistics • Continue to review / modify • Similar results to back testing Automated Trading Design Test Trade Analyse
  • 29.
  • 30. • Bollinger Bands (BB) Strategy • BB1 • 10 minute chart, applied to close using 20 periods and 1 standard deviation • BB4 • 10 minute chart, applied to close using 20 periods and 4 standard deviations • EURUSD • This strategy has been tested on and designed for the EURUSD Automated Trading
  • 31. • Bollinger Bands Strategy Entry Rules • Long • price crosses from above to below the lower band of BB4, as measured on the previous bar • Short • price crosses from below to above the upper band of BB4, as measured on the previous bar Automated Trading
  • 32. • Bollinger Bands Strategy Exit Rules • Long • price crosses from below to above the upper band of BB1, as measured on the previous bar • Short • price crosses from above to below the lower band of BB1, as measured on the previous bar • Long and Short • Stop loss set at 25 pips Automated Trading
  • 34. • Bollinger Bands Strategy Results Automated Trading Annualized profit: 54.66% Strike rate: 5.8% EURUSD
  • 35. • RSI Strategy Entry Rules • Long • RSI is below 30 • Short • RSI is above 70 • This strategy is always in a position • 5 minutes chart • This strategy has been tested on and designed for the USDCAD Automated Trading
  • 36. • RSI Strategy Results Automated Trading Annualized profit: 9.42% Strike rate: 62.6% USDCAD
  • 37. • Stochastic Oscillator Entry Rules • Long • Stochastic is below 20 • Short • Stochastic is above 80 • This strategy is always in a position • 5 minutes chart • This strategy has been tested on and designed for the USDCAD Automated Trading
  • 38. • Stochastic Strategy Results Automated Trading Annualized profit: 24.97% Strike rate: 65.1% USDCAD
  • 39. Reward / Risk • Strike rate is less important in building a healthy equity curve • Risk / reward and its relationship to strike rate is more important • Big losses can have a big impact on our equity curve and need to be avoided at all costs • Controlling our risk and consistency is the key Automated Trading
  • 40. Reward / Risk Automated Trading $22,000 $24,200 $26,620 $29,282 $14,641 $16,105 $17,716 $19,487 $21,436 $10,718 -20000 -15000 -10000 -5000 0 5000 10000 15000 20000 25000 30000 35000 1 2 3 4 5 6 7 8 9 10 AccountBalance Trade Number
  • 41. Reward / Risk Automated Trading Strike Rate (For 200 trades) Wins Losses Reward / Risk Profit (R) 10% 20 180 11 to 1 40R 20% 40 160 5 to 1 40R 30% 60 140 3 to 1 40R 40% 80 120 2 to 1 40R 50% 100 100 2 to 1 100R 66% 132 68 1 to 1 64R 75% 150 50 0.5 to 1 25R 80% 160 40 0.5 to 1 40R 90% 180 20 0.5 to 1 70R 100% 200 0 0.5 to 1 100R