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Clayburg J.F. — Four Steps to Trading Success: Using Everyday Indicators to Achieve Extraordinary Profits
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Íàçâàíèå: Four Steps to Trading Success: Using Everyday Indicators to Achieve Extraordinary Profits
Àâòîð: Clayburg J.F.
Àííîòàöèÿ: Everything a trader needs to know to develop a successful system
Technical analysis — the reading of price and volume charts to identify trading opportunities — has long been a staple in the trader's toolkit. Well before computers took much of the labor out of technical analysis, traders have examined trends, filters, patterns, and especially indicators to help them identify when to get in and out of trades for maximum profit. Now, a highly experienced analyst divulges his proven techniques for identifying the major trend, determining the "trend within the trend," finding the optimal entry, and then choosing the right time to get out. He shows traders how to most effectively use multiple indicators and know what they are really telling about the markets. While his techniques can be used without the aid of computers, he explains how readers can automate their systems using commercially available software.
John F. Clayburg (Coon Rapids, IL) is a technical analyst with over twenty years in the game. He is the developer of the Cylone S & P Day Trading System and the author and developer of Parallel User Function Technology, a unique self-adaptive trading software platform.
ßçûê:
Ðóáðèêà: Ðàçíîå /
Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö
ed2k: ed2k stats
Ãîä èçäàíèÿ: 2001
Êîëè÷åñòâî ñòðàíèö: 256
Äîáàâëåíà â êàòàëîã: 18.11.2006
Îïåðàöèè: Ïîëîæèòü íà ïîëêó |
Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
Ïðåäìåòíûé óêàçàòåëü
Absolute stop 8
Accuracy: in breakout system 245
Accuracy: in trading strategy 170—171 176
Accuracy: of Directional Day Filter 245
Automated systems: applications 253—255
Automated systems: charting package 97
Automated systems: testing 254—255
Average daily range 139
Back testing 19
Bias, implications of 7 40 45 128 144 191
Breakeven 7
Breakout strategy: characteristics of 7 223—224
Breakout strategy: Directional Day Filter and 145
Breakout strategy: in trading theory 159 235—251
Breakout strategy: intraday range 155—159 235—251
Breakout strategy: time frame 236—242
Buy signals: Directional Day Filter and 123
Buy signals: in four-step process 203 206
Buy signals: in trading theory 156—157
Buy signals: Percent R 55—57
Buy signals: Relative Strength Index (RSI) and 47 49—50 52
Buy signals: sensitivity settings 68—69
Buy signals: sideways market 172—173
Buy signals: stochastic indicator and 39 41—42 44—45
Buy stops: Directional Day Filter and 140—141 145
Buy stops: dual stochastic 114
Buy stops: implications of 24—25
Buy stops: in four-step process 191—193 214 216
Buy stops: support and resistance 24
Buy windows: actual use in trading 113
Buy windows: defined 111
Buy windows: in four-step process 184 197—198 205 212 216
Category 1 resistance: characteristics of 76—78 83
Category 1 resistance: formation 77
Category 1 resistance: sensitivities for entry us. exit 91
Category 1 support: characteristics of 78
Category 1 support: formation 77 88—89
Category 1 support: sensitivities for entry us. exit 91
Category 1 support: simultaneous 86
Category 1 support: within category 3 87
Category 2 resistance: as a trailing stop 116
Category 2 resistance: characteristics of 82—84
Category 2 resistance: dual stochastic and 112—113 115—117
Category 2 resistance: exhaustion correction 184
Category 2 resistance: formation 79
Category 2 support: as a trailing stop 116
Category 2 support: characteristics of 79—82
Category 2 support: dual stochastic and 112 114—115
Category 2 support: formations 86 88—89
Category 2 support: in actual trading 104—105 112—117
Category 2 support: in four-step process 182 186 188—189 191 193 200 202 217—218
Category 2 support: multiple 81—82
Category 2 support: sensitivities for entry us. exit 90—91
Category 2 support: simultaneous 86
Category 2 support: trading theory 170
Category 3 resistance: characteristics of 84—86
Category 3 resistance: formation 84 218—219
Category 3 resistance: in actual trading 107
Category 3 resistance: in four-step process 192 195 198 201 205 215 218
Category 3 resistance: pattern recognition 94—95 97 218
Category 3 resistance: sensitivities for entry vs. exit 90—91
Category 3 support: formation 84
Category 3 support: in actual trading 109
Category 3 support: simultaneous 86
Chart analyst, function of 81
Cluster system 13
commissions 6 12 215
Computerized charting 97
Computerized systems 3 253—258
Confidence level, importance of 11 20 31—32 132 141
Corrections: Countertrend trades 210—212 220
Corrections: defined 149
Corrections: downward 38 184
Corrections: exhausted, in major trend 147—178
Corrections: late-day 117
Corrections: minor 159
Corrections: rallies and 40
Corrections: Relative Strength Index (RSI) and 51
Corrections: sensitivity settings and 70
Corrections: support and resistance and 136
Curve fitting 254
Cyclone System 12
Day trade, defined 5
Day trading, generally: long-term 6—12
Day trading, generally: overview 5
Day trading, generally: short-term 12—14
Day trading, generally: stock selection 14—15
Day trading, generally: system development 15—16
Day trading, generally: trader style and personality 15 30 116 127
Directional Day Filter: analysis, illustration of 190—191 198—199
Directional Day Filter: applications, generally 7 40 43
Directional Day Filter: breakout system 235—251
Directional Day Filter: calculation of 123—124
Directional Day Filter: downward trends and 59 162 165
Directional Day Filter: how it works 123—131
Directional Day Filter: illustration of 181—182 207 229
Directional Day Filter: importance of 122—123
Directional Day Filter: interpretation of 125—136
Directional Day Filter: operating theory 120—121
Directional Day Filter: purpose of 120
Directional Day Filter: research confirming accuracy of 245—246
Directional Day Filter: sideways days 132—136
Directional Day Filter: stop placement and 141
Directional Day Filter: support and resistance levels determined by 82 104—106 136—141 144 151 166 173—174
Directional Day Filter: trading signals, impact on 164
Directional Day Filter: trading theory and 153—154 157 159 163 180—226
Dominant trend, determination of 35 40 60 119 122—123 128 147 213—215
Double bottom 86 88 156 188
Double breakout 242 244
Double top 24—25 189
Down market 182 207.See
Downtrending day Downtrending day: correction of 186
Downtrending day Downtrending day: defined 122
Downtrending day Downtrending day: Directional Day Filter and 125 128—129 137
Downtrending day Downtrending day: dual stochastic and 115
Downtrending day Downtrending day: exhausted 128
Downtrending day Downtrending day: false signals in 44 52 58—60 71—72
Downtrending day Downtrending day: implications of, generally 35
Downtrending day Downtrending day: Percent R and 59—60
Downtrending day Downtrending day: prediction of 120
Downtrending day Downtrending day: Relative Strength Index (RSI) and 52
Downtrending day Downtrending day: sensitivity settings and 65 71
Downtrending day Downtrending day: stochastic indicator and 40
Dual Stochastic: compared to dual Percent R 153
Dual Stochastic: compared to dual RSI 153
Dual Stochastic: compared to single setting 61—67
Dual Stochastic: defined 61—62
Dual Stochastic: in actual trading 112—117 149
Dual Stochastic: parameters of 68
Dual Stochastic: trading accuracy 147—178
Dual Stochastic: trading frequency 147—178
Dual Stochastic: with Directional Day Filter 179—233
Early range breakout 27—28 251
Early range breakout with Directional Day Filter 141 143 235
Earnings: news 120
Earnings: warnings 20
ECNs (electronic communication networks) 30
Entry strategies: breakout system 224 240—241 256
Entry strategies: conservative 176
Entry strategies: early entry 169—170
Entry strategies: high-probability entry 194
Entry strategies: optimal 187
Entry strategies: support and resistance, impact on 107—108 186
Equity curve 11—13 21
Equity, stop loss and 101
eSignal 260 263
Exhaustion 31
Exhaustion, as identified by RSI, stochastic, Percent R 34 179—233
Exhaustion, illustration of 33
Exhaustion, in day trading 34—36 179—233
Exhaustion, of corrections 45 149—151 156 178
Exit strategies: breakout system 224 256
Exit strategies: conservative 173 213
Exit strategies: determination of 236 242—244
Exit strategies: Directional Day Filter and 142
Exit strategies: importance of 159 185
Exit strategies: reversals 199
Exit strategies: stochastic indicator and 41
Exit strategies: timing exit 210
Exit strategies: trailing stop 186 198
Fading 110 189
Fast D indicator 63—66 68
Fear 17—18 22
Follow-through trading 6
Four-step process, trading strategy: entry point, defined 35 179
Four-step process, trading strategy: exit strategy, determination of 35 179
Four-step process, trading strategy: illustrations of 180—230
Four-step process, trading strategy: major trend, determination of 35 179 181
Four-step process, trading strategy: minor trend, determination of 35 179
Four-step process, trading strategy: multiple signals in 193
Four-step process, trading strategy: overview 179
Fundamental trading 26—27
fundamentals 120
Genesis Financial Data Services 262
government reports 120
Greed 17—18 22
High-percentage trading 104
High-probability trades 140 177 179 194
Historical charts 61 91 95 230
Historical data, significance of 243 254
Historical highs 53
Interest rate 120
Intraday high 163 213
Intraday low 163 165—166 168 183 212—213 219 223
Intraday range 139 144 155 176 238 248—249
Investor psychology 15
Lane, George C. 38
Linear regression 265
Long-term day trading 6—12
Losses, generally: dealing with 19—20
Losses, generally: in four-step process 227
Losses, generally: in real-time trading 14
Losses, generally: multiple 11
Losses, generally: trends and 7
Major trend(s): determination of 35 179 181
Major trend(s): Directional Day Filter and 131—132
Major trend(s): exhausted corrections 147—178
Major trend(s): Percent R indicator 59—60
Major trend(s): Relative Strength Index (RSI) and 51
Major trend(s): signals against 209—210
Market makers 30
Market noise 34 46 218
Market orders 24 104 225
Market swings, impact of 173
Minor trend, determination of 35 179
Momentum 145
Money management stops 49
Money management strategies 133
Multiple Sensivity Settings: as a filter 62
Multiple Sensivity Settings: parameters of 63
Multiple Sensivity Settings: signal accuracy 70
Multiple Sensivity Settings: system, using stochastic 68
Multiple Sensivity Settings: trading signals, frequency of 61—65 70
Multiple Sensivity Settings: various thresholds, using 62—66
Multiple signals 193
NASDAQ 247
News, impact of 27 120
Nontrending days see Sideways days
Offset prices 234
Omega Research 263 265
Online indicators 1
Online indicators, alternate use of: with Directional Day Filter 180—226
Online indicators, alternate use of: with dual Percent R 151 156 160 164 177
Online indicators, alternate use of: with dual RSI 153 157 160
Online indicators, alternate use of: with dual stochastic 149—150 158 163 166 176
Online indicators, alternate use of: with support and resistance levels 170 180—226
Online indicators, conventional use of 37—61
Online indicators, exhausted corrections, identification within major trend 147—178
Online indicators, Percent R 52—60
Online indicators, Relative Strength Index (RSI) 46—52
Online indicators, stochastic 38—46
Online trading 1 259
Opening range breakout 7—8 235—252
Order entry, electronic 116
Oscillator indicators, characteristics of 34—35 38 44 47
Oscillators, defined 37. See also Online indicators
Out-of-sample routine 254 258
Overbought conditions, implications of 34 38 40—41 43 45 47 53—56 62—63 66 181 229
Overbought theory 44
Oversold conditions, implications of 34 39 40—41 43 45 47 53—56 62—63 66 229
Overtrading 21
Panic 117 247
Parallel Function Technology 29 266
Pattern recognition 91—97
Percent R indicator: applications 35 37
Percent R indicator: buy signals 55—56
Percent R indicator: characteristics of 52—53
Percent R indicator: development of 52
Percent R indicator: dual signals, implications of 151—153 156—157 160—161 164 166 169 173—174 211 217 227
Percent R indicator: illustration of 56—60
Percent R indicator: reversal system, using 56—60
Percent R indicator: sell signals 55—56
Percent R indicator: sensitivity settings and 73
Percent R indicator: theory 53
Personality, stocks and commodities 27—30
Price movement, generally: accelerated 100
Price movement, generally: in four-step process 210
Price movement, generally: random 34 46 218
Price(s): human factor in 23—25
Price(s): patterns 26
Probabilities 30—31
Profit taking 20 117 192 210 242
Profit target 162 243 256—257
Pullbacks: Directional Day Filter and 140—141 144—145
Pullbacks: in four-step process 193 212
Pullbacks: trading theory and 155—156
Rallies see Uptrending days
Rallies, commodity markets 17—18
Rallies, corrections and 142 186 189
Rallies, exhausted 132
Rallies, false sell signals 181
Rallies, influences on, generally 9
Rallies, prospective 191—192
Rallies, resistance and 190
Rallies, reversals and 186
Rallies, sell signals and 113 163
Rallies, strong 44 70
Rallies, trading theory and 165—166
Rallies, weak 40
Range expansion 27 121
rationalization 19
Real Time Pivot 266
Real-time trading 7 14 62 91 95 163 187
Relative Strength Index (RSI): applications, generally 35 37
Relative Strength Index (RSI): buy signals 47 49—50 52
Relative Strength Index (RSI): Directional Day Filter and 133
Relative Strength Index (RSI): dual 153—154 157 160—162 164 168 173—174 177 193
Relative Strength Index (RSI): implications of 50
Relative Strength Index (RSI): reversal system, using 48—52
Relative Strength Index (RSI): sell signals 47—48 50
Relative Strength Index (RSI): sideways days 133
Relative Strength Index (RSI): stochastic indicator distinguished from 46
Relative Strength Index (RSI): theory 46
Reversal systems 41—45 48—52 56—60
Reversal(s): dual stochastic 115
Reversal(s): implications of, generally 7 266
Reversal(s): stochastic indicator and 41
Reversal(s): trades 161 188 199 201 204
Reversal(s): trends 117
Risk management 101 142 203—204 210
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