Scaling By Ken Hodor 10/14/10.

Slides:



Advertisements
Similar presentations
Analysis of Technical Trends Ryan Weikert. Asset Valuation Pricing, Buying, and Selling of Assets Methods of Appraisal What stocks, when? Fundamental.
Advertisements

How much rent do you pay per month during the academic year? (Enter DK if you don’t know.)
Review of the fundamental concepts of probability Exploratory data analysis: quantitative and graphical data description Estimation techniques, hypothesis.
Chapter 8. Linear Systems with Random Inputs 1 0. Introduction 1. Linear system fundamentals 2. Random signal response of linear systems Spectral.
Optimum Distribution Formula What is the probability of selling the next copy distributed? How much did it cost to distribute/produce that copy?
Lottery Problem A state run monthly lottery can sell 100,000tickets at $2 a piece. A ticket wins $1,000,000with a probability , $100 with probability.
Jake Bernstein CSTA/MTA Annual Conference Toronto 6-7 December 2010 High Odds Patterns in Stocks and Futures 100% Rule-Based Trading.
Bollinger Bands Metastock User Group 11/5/02 Leland Brode
Chapter The Supply Curve  Profit = Total Revenue – Total Cost  Break Even= No profit, no loss of money.  Profit- Money made after expenses are.
TECHNICAL ANALYSIS. Introduction What is Technical Analysis? Philosophy or Rationale – Market action discounts everything – Prices move in trends – History.
Hare Krishna Mitra 16 th June,  Stop Loss  Break out Trades  Trend within a Trend.
A U T O P I L O T Is a trading methodology. Trades Forex, Futures, Stocks, Options, Funds, Indexes. Is generic, simple, predictive, accurate, sensitive.
CHAPTER 2 PowerPoint Author: LuAnn Bean, Ph.D., CPA, CIA, CFE Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution.
Chapter 12 Exchange Rate Forecasting. Copyright  2004 McGraw-Hill Australia Pty Ltd PPTs t/a International Finance: An Analytical Approach 2e by Imad.
3.2 Costs and Revenues Topic 3: Finance and Accounts.
DCX on B-School. Technical Analysis 101 : Session 1 Josheph Adhikari Dipendra Banskota DCX On B-School.
A Journey into Stock Markets 1.  What is Stock?  How trading happens?  How to trade in stocks?  Kinds of Trades  Basic Terms and terminologies 2.
What is a stock? What does it mean when we say there is risk and reward in the stock market? Why do people invest their money in the stock market?
Where Do Supply Curves Come From?. What IS a Supply Curve? What is the MATHEMATICAL FORMULA for LINEAR Supply? P = b + aQ.
 Technical Analysis Implementation. Things to think about…  Technical Analysts do not invest they trade  Focus on price and volume  Flaw in fundamentals.
 Analysis of statistics generated by market activity such as past price and volume to come up with reasonable outcome in future using charts as a primary.
What Does It Really Take To Succeed? 20 Habits Of Wealthy Traders By Lyle Wright.

Market Timing.
Tactics II – Volatility & Time Iron Condors
“Bounce” Trading System
Time and Money By Ken Hodor
Kumo Breakout Trade.
Money Management (on Individual Instrument)
Introduction to inference Estimating with confidence
GCSE Business Studies Unit 2 Developing a Business
The ShadowTrader Tape Reader
Economics 100C April 6, 2010.
Using Time and Volatility for Profits
Bear Rally Short Classic Swing Trade.
Bollinger Percent B Ken Hodor 7/16/11.
Market Views An investor can take one of the Three Views of the Market
Example of a call option
Pullback Scale-in Within Price Range
Chapter 14 Perfectly competitive Market
DO NOW!! Think of an industry with…
قراءة القوائم المالية وفـاء شـريف علي. محلل مالي
Everything you wanted to know about Stochastic Trading …but were afraid to ask By Ken Hodor 8/18/10.
“If you wish to understand the universe, think of Energy, Frequency and Vibration” – Nikola Tesla
Chapter 15 Computers and trading systems
SPY Short Straddle backed up with the Smile Strategy produces Positive Expectancy By Ken Hodor 4/25/12.
A measure of how consumers respond to price changes
Regression Computer Print Out
Earnings per share of the Walt Disney Company
Geometric Option Gains Follow-up
The Great Debate The Path to Riches Trade Delta
The STOCK MARKET.
How to maximise the profit from customers & products in cement plants
Market Timing.
Economics 100C.
Chapter #3 Technical Analysis
UNIT 5. Linear Systems with Random Inputs
Earnings per share of the Walt Disney Company
Market Timing.
Let’s Graph Unit 1.
Black Swan Calendars Last week of options expiration study
Managing Flow Variability: Safety Inventory
What are your trading rules?
Super Conservative Trading from 1/17/09 presentation followup…OOPs
Bernoulli Trials Two Possible Outcomes Trials are independent.
Cost/volume/profit analysis
TRADE SCHOOL: Talking Volume
Lesson 15-3 Decisions That Affect Net Income
OC Traders Rick Edwards 5/21/11
Trade School: Understanding Stochastics
Presentation transcript:

Scaling By Ken Hodor 10/14/10

Five Fundamental Trading Truths Anything can happen You don’t need to know what is going to happen next in order to make money. There is a random distribution between wins and losses for any given set of variables that define an edge. An edge is nothing more than an indication of higher probability of one thing happening over another Every moment in the market is unique From: Trading in the Zone by Mark Douglas

Use Signal to Go All In This is arrogance—no one knows the future No one knows what will happen next

Scaling Market is going up Market is going sideways Increase position in what is working Market is going sideways Long when near bottom of range Sell or sell short at top of range Market is going down slightly Still in major up trend buy more down to bottom of channel Market is going down quickly Increase short position as it is working

Scale Market Moving Up

Scale Market Moving Down

Scale Market moving Sideways

Tranche size Fixed tranche size Variable tranche size Use 25% on each tranche 4 possible tranches per instrument Variable tranche size More sophisticated and more profitable Vary size based on distance to 2-standard error bands about a linear regression channel

Conclusion Using scaling you do not have to always be right…on average you are indeed right.