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Jurik M. (ed.) — Computerized Trading: Maximizing Day Trading and Overnight Profits
Jurik M. (ed.) — Computerized Trading: Maximizing Day Trading and Overnight Profits



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Íàçâàíèå: Computerized Trading: Maximizing Day Trading and Overnight Profits

Àâòîð: Jurik M. (ed.)

Àííîòàöèÿ:

Mark Jurik taps into the minds of twenty experts who reveal their strategies for maximizing profitability using computerized trading systems.

Unlike other books that discuss one or two of the many aspects of trading, Computerized Trading covers all of the key topics related to the trader's survival and profitability. Beginning with a discussion of the basic skills a trader needs to design a trading system, this user-friendly guide moves from advice for the novice just getting started to advanced system development and data modeling for the experienced trader. Written so even the most inexperienced trader will understand every step, the chapters combine to deliver the whole picture, including:
Designing, testing, and analyzing trading strategies
Coping with the psychological pressures that accompany different trading methods
Controlling risk by applying a few basic rules and formulas
Negotiating the best data feed deal
Getting the right data, books and software

Complete with over 100 explanatory charts and diagrams, this book also contains several checklists to help traders monitor their progress in developing a trading system that works.


ßçûê: en

Ðóáðèêà: Ýêîíîìèêà è ôèíàíñû/

Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö

ed2k: ed2k stats

Ãîä èçäàíèÿ: 1999

Êîëè÷åñòâî ñòðàíèö: 415

Äîáàâëåíà â êàòàëîã: 16.11.2006

Îïåðàöèè: Ïîëîæèòü íà ïîëêó | Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
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Ïðåäìåòíûé óêàçàòåëü
Money management, basic terms      100—102
Money management, importance of      100 119 123
Money management, risk vs. reward      114—118
Monthly rolling equity      143—145
Morgan Stanley      71
Moving Average Convergence — Divergence (MACD)      25—26 281
Moving average crossover method, mechanical market entry      69—70
Moving average, defined      25
Moving average, function of, generally      121—122
Moving average, intermarket      231
Moving average, market exit      83—84
Moving average, mechanical market entry      69
Moving average, money management      105—106
Multiple bottoms and tops pattern      323 326 328—330
Multiple position exits      95—96
N-TRAINC      323
Nasdaq Composite Index      52—53 57—61
Negative outliers      150
Net Expected Return Equation      65
Net loss      101 139
Net profit      101 139—140
Network optimization, statistical network trading      310—311
Neural nets      266
Neural Networks and Financial Forecasting (Jurik Research)      338
Neural networks, data processing      271 282
Neural networks, forecasting models, generally      338
Neural networks, market modeling      294—296
Neural networks, nonlinear pricing      266
Neural networks, probabilistic (PNN)      299—300
Neural Newbie      317—318
New Concepts of Technical Trading Systems (Wilder)      82
NFA (National Futures Association)      5
Nike (NKE)      30 32—35
Nonjudgmental trading      5—7 12
Nonlinearity applications      260—264
Nonlinearity measurements      257—260
Nonlinearity modeling phenomena      255—256
Nonlinearity pricing      257
Nontrending indicators      32—33
Normal distribution      263
Normalization, market input      293
OEX      58 60—61 107
Omega Research Portfolio Maximize™      138
Omega Research TradeStation      202 227 317 321—322 347
On Balance Volume      32
Ontogenic statistical networks, Cascade Correlation      296—298
Ontogenic statistical networks, Probabilistic Neural Networks (PNN)      299—300
Option pricing      252 261—263
Options, market exit      98—99
Out-of-sample data      129—130 161
Outlier trades      150
Overbought indicators      70—71
Overbought stocks      25 31
Oversold indicators      70—71
Oversold stocks      25 31
O’Neil, William      66
Parabolic SAR      82—83
Peak-and-valley progression      14
Percent losing trades      101
Percent rate of change (PROC)      339
Percent winning trades      101
Percentage charts      111—113
Percentage of the time in the market      158
Performance anxiety      169
Performance evaluation      see "Trading performance evaluation"
Performance target, statistical network trading      308
Persistence      257—258 337
Phone lines, data transmission      365
Placing trades      122—123
Portfolio diversification, forms of, generally      210—211
Portfolio diversification, input      208—209
Portfolio diversification, output      209—210
Portfolio diversification, risk      209 215
Position trading, intraday trading vs.      10—11
Positive outliers      150
PowerEditor™      227
Predicted Squared Error (PSE)      303—305
Predictive time period, statistical network trading      308
Preprocessing for nonstationarity      281
Preprocessing, motivation and issues in      269—272
Preprocessing, purpose of, generally      337—338
Preprocessing, statistical      282
Price chart      65—66 121
Price distribution functions (PDF), application of      43—47
Price distribution functions (PDF), congestion and      52—53
Price distribution functions (PDF), defined      42
Price distribution functions (PDF), examples and interpretation of      47—49
Price distribution functions (PDF), nonlinearity pricing      262—264
Price distribution functions (PDF), reference points      49—54
Price distribution functions (PDF), Visual Basic program      58
Price history      41
Price Layers      53
Price mobility, assessment of      58—61 see
Price-based indicators      19 24
Pricing, nonlinear      see "Nonlinearity"
Proactive trading, centering      167—168
Proactive trading, financial objectives      166 214
Proactive trading, performance anxiety      168—169
Proactive trading, proactive trading      165—167
Proactive trading, rate of return, maintaining      173—176
Proactive trading, recovery from last trade      171—172
Proactive trading, stopping points      169—171 173
Proactive trading, systems trading      172—173 176—177 214
Proactive trading, value of      165—167
Probabilistic neural network (PNN)      299—300
Profit factor      140 162
Profit objective stops      91—93
Profit ratios      140
Profit target      92
Project Nimble      387—395
Projection oscillator      50
Psychology of trading      see "Proactive trading"
Pull-back-in-trend      323 325—327
Put options      98
Rate of return, maintaining      173—174
Ratio avg. win/avg. loss      140
Real-time data, financial data sources, data reliability      352—353
Real-time data, financial data sources, types of      345—351
Receiver Operating System (ROS)      369—370
Recovery, psychological aspects of      171—172
Reference points      49—54
Reflexivity      258—259
Relative Strength Index (RSI), applications      36 39
Relative Strength Index (RSI), defined      25
Relative Strength Index (RSI), market entry and      70
Relative Strength Index (RSI), market exit and      88
Resistance levels      50—51
Resistance, price charts      65—66
Resistance, reversal roles      67—68
Return measures      140—142
Return on initial capital      141
Reversal-probability analysis      189—192
Reward, risk vs.      114—115
Reward/risk ratio      114—115 155—156
RINA Systems, Inc.      138
Risk management methods      198 215
Risk, generally, bar length and      196—199
Risk, generally, close-to-open      116
Risk, generally, exposure to      215
Risk, generally, portfolio diversification and      209 215
Risk, generally, reward vs.      114—115
Risk, generally, slippage      116—117
Risk-averse traders      273
Risk/reward ratios      155—156
Robust systems, development of      238—239 242—243 339
Rolling analysis      142
Rolling period analysis      248—249
Run-up      153—155
S&P 500 index      23 77 84 208 223
S&P Crossover Buy      227—228
Satellites, data transmission      367—368
Scaling up in time      204—205
Schwager, Jack      100
Select net profit      150
Sell limit orders      64
Sell stop orders      63
Sentiment indicators      15—16 122
Sharpe ratio      211 215
Short position, head-and-shoulders pattern      330
Short position, multiple-bottoms and multiple-tops patterns      330
Short position, pull-back-in-trend      325—326
signal      347
Signal translation, data reception      369—370
Simple moving averages      15 105—106 108
Sliding analysis      142
Slippage      101 162
Slippage risk      116—117
Slow Mobility Oscillator (MOS)      43
Software consultants      384
Software programs for financial modeling      384—386
Software programs, trading performance evaluation      138
Soros, George      253
Specht, Donald      299
Spreadsheets, Markowitz/Xu data mining correction formula, sample of      132—136
Spreadsheets, price distribution function (PDF)      47—48
Spyglass      67
Stable distribution curve      252—253
Standard deviation (STDEV)      24 147
Starting capital      101
Statistical network data mining™, application of, example      305—315
Statistical network data mining™, statistical network advantages      305
Statistical network data mining™, statistical network algorithm      301—305
Statistical Network learning algorithm      305
STATISTICA™      226 229
Statman, Meir      272
Stochastic oscillator      50
Stochastics (STOC), applications      39
Stochastics (STOC), defined      27
Stochastics (STOC), market entry and      72
Stochastics (STOC), market exit and      87—88
Stock selection      252
Stop and Start Trading      106—107
Stop orders      63—64
Stopping points, awareness of      171
Stopping points, defined      169—170
Stopping points, systems trading and      173
Stops in system development      244—245
Stops, value of      76
Stress, trading success and      168—169
Subsequent performance analysis, market potential      186—189 216
Summaries, sliding and rolling      142—143
Support levels      50—51
Support, price charts      65—66
Support, reversal roles      67—68
System analysis      139—140
System development, generally, data in      222—223 233—234
System development, generally, evaluation of      245—249
System development, generally, filters      236—238 250
System development, generally, intermarket analysis      221—251
System development, generally, portfolio diversification and      216—217
System development, generally, robust systems      238—239 242—243 339
System development, generally, simple, based on premise      234—236
System development, generally, stops      244—245
System portfolio optimization, efficient portfolios      211—212
System portfolio optimization, forms of, generally      210—211
System portfolio optimization, input diversification      208—209
System portfolio optimization, modern portfolio theory      212—213
System portfolio optimization, output diversification      209—210
System return      141
Systems trading, psychology of      172—175
Technical analysis      20 27 253—255
Technical indicators, statistical network trading      305—307
Ticks      193 363
Time analysis      158—159
Time clocks      370—371
Time frames, bar length and      204—206 215
Time series, value of      222
Time stamping      357—358
Time stops      89—91
Timing, of market entry      65—69
Total time in the market (periods)      158
Total trade analysis      146—150
Trade-signal analysis      181—183
TradeMarker™      321
Trading indicators, chart pattern recognition      14
Trading indicators, evidence, weight of      20—29
Trading indicators, indicator construction      19—20
Trading indicators, moving averages      15
Trading indicators, nontrending      32—33
Trading indicators, technical indicators      15—19
Trading indicators, trend identification      13—14
Trading indicators, trending      33—35
Trading methods, generally, apprenticeship      7—8
Trading methods, generally, failures      7
Trading methods, generally, judgmental approaches      4—5 8—12
Trading methods, generally, nonjudgmental approaches      5—7 12
Trading methods, generally, position trading vs. intraday trading      10—11
Trading performance evaluation, consecutive trades      156—158
Trading performance evaluation, drawdown      151—153
Trading performance evaluation, equity curve analysis      143—146
Trading performance evaluation, evaluation process, generally      137—138
Trading performance evaluation, outlier trades      150
Trading performance evaluation, profit ratios      140
Trading performance evaluation, return measures      140—142
Trading performance evaluation, risk/reward ratios      155—156
Trading performance evaluation, run-up      153—155
Trading performance evaluation, summaries, sliding and rolling      142—143
Trading performance evaluation, system analysis      139—140 162
Trading performance evaluation, time analysis      158—159
Trading performance evaluation, total trade analysis      146—150
Trading results, statistical network trading      313—315
Trading strategy, statistical network trading      311—313
Trading system, development of      337
Trailing highs/lows, market exit      85—87
Trailing stops      82—87
Transformations, market input      293
Treasury bonds      223—224 229—232
Trend analysis, indicator readings combined with      30—39
Trend information, sources of      280
Trending indicators      33—35
Trendlines, market entry      68
Trendlines, market exit      80—81
Trendlines, money management      104—105
Trends, generally, classification of      31—32
Trends, generally, determination of      30—31
Trends, generally, identification of      13—14
Trends, generally, nontrending security      37—38
Trends, generally, trending security, nontrending indicator      36
Triple Screen Trading Method      205
True range, bar length      196—197
Underwater equity      143 146
United Technologies      67
Value at Risk (VaR)      198 215
Visual Basic      58
Volatility, breakout system      109—110
Volatility, defined      102
Volatility, market exit and      77 91 96—97
Volatility, portfolio diversification and      210
Volatility, risk and      216
Volume Accumulation/Distribution (V-A/D)      22—23
Volume bars      203—204
Walk-forward testing      127—128
Wall Street Journal      292
Wall Street, view of mathematics      254—255
Wavelets      260
Weighted moving averages      15
Wilder, Welles      25 30 70 82
Williams, Larry      22
Winning trade      102 109 111
Zacks Research      347
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