adjusting for, 53, 471

and bar charts, 215

and Bollinger bands, 91, 450

and chart spikes, 225, 238

and day trading, 421-423

measurement of, 91, 471-482

and momentum, 132

in MPTDI system, 95-96

and news releases, 338

and noi.se, 220

and oscillators, 133

and point-and-figure charts, 262, 270

and point-and-figurc testing, 526-527

and price level, 471-473

and risk, 477, 482

and seasonality, 164, 174

and spreads, 329-332

and time pattems, 388

and trading limits, 579

and volume, 149, 238 Volatility band, 91, 453 Volatility filter, 477-482 Volatility function, 91 Volatility System, 96-97 Volume, 2, 147-149, 237-255

contract, 237

filtering. 253-254

inrerpietation of 239-240, 249-250

patterns in, 237-239, 251-253

and slippage, 422

tick, 238,422

and ttend, 217 Volume Accumulator (VA), 242 Volume arul Open Interest, A Key to CommodHy

Price Forecasting Oiler), 216, 239 Volume count indicator (VCl), 241 Volume-Filtered On-Balance Volume, 254 Volume indicators, 240-249

Wall Street Joumal, 215, 243. 334-336.338 Wall Street Ventures arul Adventures Through

Forty Years (Vyckoff), 5 Warren, Anthony. 206 Waters, Jim, 140

Wave(s), in Elliott Wave Theory. 353. 35. See

also Cycle Waxenberg, Howard K., 249-250 Weather, seasonal effect of, 160, 174-16. l-8.

and price shocks, 563 Weather market, 178, "" Weather Sensitivity Chan, 175. 176 Weekday patterns. 400-408, 428 Weekend pattems, 400, 408-412. 428 Weekly Price Channel. 289 Weekly Rule, 289-290 Weighted aggregate index 23 Weighted average, 10, 11,13, 75 Weighted moving average. 68 Whipsaw. 60,90, 102, 116. 558 Wholesale Price Index, 190 Wilder, J. Welles. Jr., 99, 133, 134, 286 Williams, larry, 140

Winters seasonal adjustment method. 1"2 wyckoff. Richard D.. 2. 5. 235. 259. 300

X-11 seasonal adjustment method, 169-172

Yearly average, in seasonal calculations. 164 Yen 0»pan), 23, 225

Zieg, KermitCJr, 261

Zones, in price distributions, 451-452