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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
15-minute charts      202—204 206
Adjusted profit factor      140
Advanced trading system, case study, figures and tables      324
Advanced trading system, case study, head-and-shoulders pattern      323 330—332
Advanced trading system, case study, integrated system      332—334
Advanced trading system, case study, KCAT approach      322—324 334—335
Advanced trading system, case study, multiple bottoms and tops patterns      323 326 328—330
Advanced trading system, case study, pattern descriptions      321—322
Advanced trading system, case study, problems with      320
Advanced trading system, case study, pull-back-in-trend      332 325—327
Advanced trading system, case study, traditional approaches      317—318
Advanced trading system, case study, training networks      320—321
Advisory Sentiment Index      15
ADX indicator      30
Annual return      141
Annual return on account (AROA)      162
Anxiety, dealing with      168—169
Appel, Gerald      26
Apprenticeship      7—8
Asset allocation      252 260
Average drawdown      152
Average loss      100
Average monthly equity      143 146
Average profit      101
Average profit and loss      113—114
Average run-up      154
Average run-up/drawdown ratio      156
Average trades      147
Backtesting, importance of      161
Backtesting, in-sample and out-of-sample data      129—130 161
Backtesting, leave-one-out testing      130—131
Backtesting, Markowitz/Xu data mining correction formula      131—136
Backtesting, walk-forward testing      127—128
Bad packets      373
Bar length in intermarket analysis      225
Bar length, bars, time vs. volume      202—204
Bar length, intraday trading and      193—195
Bar length, market quality      199—202
Bar length, multiple time frame trading      204—206
Bar length, risk and      196—199
Bar length, trading day and      195—196
Baring Securities      254
Baseline models, statistical network trading      309—310
Benchmarks      179
Black — Scholes model      254 263
BMI      347
Bollinger Bands (BB)      20—22
Bollinger, John      20—21
Books, information resources      383
Breakdowns      66—67
Breakeven stop      78—79
Breakouts      22 41 66—67 72 74 109
Bristol — Myers      66
Buffer overflow      372
Business cycles      253
Buy limit orders      64
Buy stop orders      63
Buy/hold return      141
Cable transmission, of data      366—367
Capital      101
Cascade correlation      296—298
Cause-and-effect relationship      292
CFTC (Commodities Futures Trading Commission)      5
Chaiken, Marc      22
Chart patterns      14 319
Chicago Board of Trade      224
Chicago Mercantile Exchange      223
Choppy markets      see "Volatility"
Classic economic theory      254 258—259 337
Close-to-open risk      116
Coefficient of variation      147 162
Commitment of Traders’ (COT) Reports      318
Commodity Channel Index (CCI)      23—24
Commodity options      98 see
Commodity trading advisor (CTA)      6
Complex indicators, nonlinear pricing and reflexivity      252—267
Computer Systems That Learn      339
Congestion, defined      41
Congestion, measurement of      43—49
Congestion, mobility and      40—43
Consecutive trades      156—158
consumer protection      386
Contract rollover      361—362
contributors      397—406
Cumulative Price Distribution Function (CPDF)      45
Customer support      379—380
Cycles, impact on market      24 29 253
Data processing, conflicting data      288
Data processing, data selection for training      283—285
Data processing, expected values      288
Data processing, feature extraction      272—280
Data processing, preprocessing      269—272 281—282 337
Data processing, scaling data      282—283
Data processing, variable selection      286—288
Data resources, data analysis      375—382
Data resources, data production      356—363
Data resources, data reception      369—374
Data resources, data storage      374—375
Data resources, data transmission      363—364
Data, generally, analysis      375—382
Data, generally, feeds through internet      383
Data, generally, input/output, in system development      222—223 233—234
Data, generally, production      356—363
Data, generally, reception      369—374
Data, generally, resources for      see "Data resources"
Data, generally, storage      374—375
Data, generally, transmission      363—369
Day trading      193
DBC BMI      370
DBC signal      370
Degrees of freedom (DoF)      232
Delayed data      358—359
Detailed equity      143—144
Dial Data      351—352
Directional Movement Index (DMI)      33 35
Discretionary traders, rate of return      174
Discretionary traders, systems trading      176—177
Displaced moving averages (DMAs)      8
Dollar stop      77—78
Double and reverse strategy      93—95
Dow Jones Industrial Average (DJLA)      36 291—293
Dow Jones Transportation Index      292
Dow, Charles      13—14
Drawdown in robust systems      243 245 247
Drawdown, defined      101 151—153
Editor      397
Efficient portfolios      211—212
Egoism      170
Elder, Alexander, Dr.      205
Eli Lilly      68 72 74
Emotional reaction, in trading      166 see
End-of-day (EOD) trading      120
End-of-day data, financial data sources, data reliability      353
End-of-day data, financial data sources, types of      346
Equis MetaStock RT      347
Equity charts      103—104
Equity curve line      142—143
Equity curve, analysis      143—146
Equity curve, implications of, defined      142
Equity curve, intermarket analysis      248
Equity line techniques, moving average      105—106
Equity line techniques, trendlines      104—105
Equity, generally, defined      101
Equity, generally, reversing with      109—111
Equity, generally, Start and Stop trading with      106—107
Exchange fees      381
Expected return equation      64—65
Expected values      288
Exponential moving average (EMA)      15 277—279
Exponential Moving Average Convergence Divergence (EMACD)      277 279 281
failures      7
Fast market      101
Filters, in system development      236—238 251
Financial data sources, data reliability      352—354
Financial data sources, end-of-day data      346 351—353
Financial data sources, real-time data      345—351
Financial objectives      166
Financial Ponzi scheme      272—273
First Call      347
Five-minute charts      201—202
Flow-of-funds indicators      see "Market structure indicators"
FM transmission, of data      365—366
Forecasting, with mobility oscillators      40—61
Fossett, Steve      387—388
Fourier Analysis (FFT)      266
Fractal dimension      259—260
Fuzzy Logic (FL)      264 339
Gaussian curve      252—253 262—263 337
Gell-Mann, Murray      253
Generalized regression neural network (GRNN)      283
Genesis Financial Data Services      225
Genetic algorithms (GAs)      265 286 339
Globex      361
Gross profit/loss      101
Gustafson, Steve, Dr.      291
Head-and-shoulders pattern      323 330—332
Heroes      7
Higher time frame screens      205—206
Holland, John      252—253
Homebrew software      376—378
Hurst exponent (H)      257—258
IBES      347
Illiquid markets      64
In-sample data      129—130 161
Incremental approach, market exit      84—86
Indicators, generally, categories of      121—122
Indicators, generally, market exit      87—89
Inflation      225
Information content analysis, statistical network trading      30
Interest rates      253
Intermarket analysis, data adequacy      233—234
Intermarket analysis, data modeling      222—223
Intermarket analysis, design and testing of systems      232—233
Intermarket analysis, illustration of      245—249
Intermarket analysis, improving system with meaningful filter or setup      236—238
Intermarket analysis, robust systems      238—239 242—243
Intermarket analysis, stops      244—245
Intermarket analysis, system development, generally      221—222 234—236
Intermarket analysis, target market, study guidelines      225—228
Intermarket analysis, treasury bonds as leader of S&P      229—232
Internet      368—369 383
Intraday (ID) trading, money management and      120
Intraday (ID) trading, position trading vs.      10—11
Intraday (ID) trading, ticks      193—194
Intuition, development of      214
IPC Mexico Index      83
Japanese Yen      73
Judgmental trading      4—5 8—12
Kase average risk (KAR)      198 215
Kase DevStopc      196 198
Katz Click-and-Train Approach (KCAT)      317 322—324 334—335
Kriya, Inc.      257
Lambert, Don      23—24
Lane, George      27 72 87
Lane’s Stochastic      274—277
Largest consecutive losing series      152
Largest consecutive winning series      154
Largest gain      154
Largest losing trade      101
Largest loss      152
Largest loss ratio      156
Largest winning trade      101
Least squares momentum (LSM), market exit      88—89
Leave-one-out testing      130—131
Limit move      101
Limit orders      63—64
Limit price moves, avoidance of      117—118
Linear regression models      252—253
Linear statistics, applications      291
Liquid markets      64
Long positions, head-and-shoulders pattern      330
Long positions, multiple-bottoms and multiple-tops patterns      326—329
Long positions, pull-back-in-trend      325—326
Long positions, stops and      77
Longest flat period      158
Look-back periods      48 51
Losing trade      101 109 111
Louisiana Pacific (LPX)      31—33 35—36
Margin, applications in trading      102
Margin, defined      101
Market cycles      223 see
Market entry, expected return equation      64—65
Market entry, illustration of      72—75
Market entry, limit and stop orders      64
Market entry, mechanical entry methods, using advanced technical indicators      69—74
Market entry, timing of, technical indicators and      65—69
Market entry, types of, generally      63—64
Market exit, breakeven stop      78—79
Market exit, dollar stop      77—78
Market exit, double and reverse strategy      93—95
Market exit, indicators      87—89
Market exit, multiple position exits      95—96
Market exit, options and      98—99
Market exit, profit objective stops      91—93
Market exit, stops, value of      76
Market exit, time stops      89—91
Market exit, trailing stops      82—87
Market exit, trendlines      80—81
Market exit, volatility and      96—97
Market modeling paradigm, development of, market modeling, defined      290—292
Market modeling paradigm, development of, model input      292—293
Market modeling paradigm, development of, model output      294
Market modeling paradigm, development of, neural networks      294—296
Market modeling paradigm, development of, ontogenic statistical networks      296—300
Market modeling paradigm, development of, Statistical Network Data Mining™      300—330
Market potential, quantification methods, concerns for      179—180
Market potential, quantification methods, reversal-probability analysis      189—192
Market potential, quantification methods, subsequent performance analysis      186—189 216
Market potential, quantification methods, trade-signal analysis      181—183
Market potential, quantification methods, zone analysis      183—186 216
Market risk      see "Risk"
Market structure indicators      15 17—18
Market-quality      199—202
Markowitz, Harry      211
Markowitz/Xu data mining correction formula, calculation      131—132
Markowitz/Xu data mining correction formula, function of, generally      162
Markowitz/Xu data mining correction formula, in-sample and out-of-sample data      129
Markowitz/Xu data mining correction formula, spreadsheet example      132—136
Max drawdown ratio      156
Maximum adverse excursion (MAE)      151—152
Maximum equity drawdown      152
Maximum equity run-up      155
Maximum favorable excursion (MFE)      154
Mean deviation      24
Mechanical market entry      69—74
Mechanized system trading (MST)      120
Meditation      167 171
Mirage Resorts (MIR)      37—39
Mobility oscillators (MOs), application and interpretation of      56—58
Mobility oscillators (MOs), defined      43
Mobility oscillators (MOs), price distribution functions (PDF)      43—49 54
Modern Portfolio Theory (MPT)      211—212
Momentum indicators      19
Momentum oscillators      29
Momentum, generally, market exit and      88—89
Momentum, generally, system development      236—237
Monetary indicators      15—17
Money Flow      32
Money management, advanced      103—113
Money management, applications in trading      102—103
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