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Clayburg J.F. — Four Steps to Trading Success: Using Everyday Indicators to Achieve Extraordinary Profits
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: en

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
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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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