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Bear Hook Pattern | Trading Strategy (Exits)

I. Trading Strategy

Developer: Toby Crabel (Bear Hook Pattern). Source: Crabel, T. (1990). Day Trading with Short Term Price Patterns and Opening Range Breakout. Greenville: Traders Press, Inc. Concept: Volatility expansion. Research Goal: Performance verification of the Bear Hook Pattern with the target exit and time exit. Specification: Table 1. Results: Figure 1-2. Trade Setup: Short Trades: The current day opens below the previous day’s low and closes above the previous day’s close with a narrowing range. Trade Entry: Opening Range Breakout (ORB): Short Trades: A trade is taken at a predetermined amount below the open. The predetermined amount is called the stretch. A sell stop is placed at [Open − Stretch]. Trade Exit: Table 1. Portfolio: 42 futures markets from four major market sectors (commodities, currencies, interest rates, and equity indexes). Data: 32 years since 1980. Testing Platform: MATLAB®.

II. Sensitivity Test

All 3-D charts are followed by 2-D contour charts for Profit Factor, Sharpe Ratio, Ulcer Performance Index, CAGR, Maximum Drawdown, Percent Profitable Trades, and Avg. Win / Avg. Loss Ratio. The final picture shows sensitivity of Equity Curve.

Tested Variables: Target_Index & Time_Index (Definitions: Table 1):

Bear Hook Pattern: Profit Factor
Bear Hook Pattern: Profit Factor
Bear Hook Pattern: Sharpe Ratio
Bear Hook Pattern: Sharpe Ratio
Bear Hook Pattern: UPI
Bear Hook Pattern: UPI
Bear Hook Pattern: CAGR
Bear Hook Pattern: CAGR
Bear Hook Pattern: Max. Drawdown
Bear Hook Pattern: Max. Drawdown
Bear Hook Pattern: Percent Profitable Trades
Bear Hook Pattern: Percent Profitable Trades
Bear Hook Pattern: Avg. Win / Avg. Loss Ratio
Bear Hook Pattern: Avg. Win / Avg. Loss Ratio
Bear Hook Pattern: Equity

Figure 1 | Portfolio Performance (Inputs: Table 1; Commission & Slippage: $0).

STRATEGYSPECIFICATIONPARAMETERS
Auxiliary Variables:Noise: The difference between the open for each day and the closest extreme to the open on each day (Noise[i] = min(High[i] − Open[i], Open[i] − Low[i])).
Average_Noise: The simple moving average of Noise over a period of Stretch_Length.
Stretch[i] = Average_Noise[i] * Stretch_Multiple.
Index: i ~ Current Bar.
Stretch_Length = 10;
Stretch_Multiple = 2;
Setup:Short Trades: The current day opens below the previous day’s low and closes above the previous day’s close with a narrowing range.
Filter:N/A
Entry:Opening Range Breakout (ORB): Short Trades: A trade is taken at a predetermined amount below the open. The predetermined amount is called the stretch (defined above). A sell stop is placed at [Open − Stretch].
Exit:Time Exit: nth day at the close, n = Time_Index.
Stretch Exit: Short Trades: A buy stop is placed at [Open + Stretch]. The value is calculated at the day of entry.
Target Exit: Short Trades: A buy at the close is placed if Low ≤ [Entry − $Target]. $Target is the multiple of the initial risk per trade (defined by exits) and Target_Index.
Stop Loss Exit: ATR(ATR_Length) is the Average True Range over a period of ATR_Length. ATR_Stop is a multiple of ATR(ATR_Length). Short Trades: A buy stop is placed at [Entry + ATR(ATR_Length) * ATR_Stop].
Time_Index = [1, 40], Step = 1;
Target_Index = [1.0, 10.0], Step = 0.25;
ATR_Length = 20;
ATR_Stop = 6;
Sensitivity Test:Target_Index = [1.0, 10.0], Step = 0.25
Time_Index = [1, 40], Step = 1
Position Sizing:Initial_Capital = $1,000,000
Fixed_Fractional = 1%
Portfolio = 42 US Futures
ATR_Stop = 6 (ATR ~ Average True Range)
ATR_Length = 20
Data:42 futures markets; 32 years (1980/01/01−2011/12/31)

Table 1 | Specification: Trading Strategy.

III. Sensitivity Test with Commission & Slippage

Tested Variables: Target_Index & Time_Index (Definitions: Table 1):

Bear Hook Pattern: Profit Factor
Bear Hook Pattern: Profit Factor
Bear Hook Pattern: Sharpe Ratio
Bear Hook Pattern: Sharpe Ratio
Bear Hook Pattern: UPI
Bear Hook Pattern: UPI
Bear Hook Pattern: CAGR
Bear Hook Pattern: CAGR
Bear Hook Pattern: Max. Drawdown
Bear Hook Pattern: Max. Drawdown
Bear Hook Pattern: Percent Profitable Trades
Bear Hook Pattern: Percent Profitable Trades
Bear Hook Pattern: Avg. Win / Avg. Loss Ratio
Bear Hook Pattern: Avg. Win / Avg. Loss Ratio
Bear Hook Pattern: Equity

Figure 2 | Portfolio Performance (Inputs: Table 1; Commission & Slippage: $50 Round Turn).

IV. Rating: Bear Hook Pattern | Trading Strategy

A/B/C/D

Related Entries: Hook Pattern (Exits) | Bull Hook Pattern (Exits) | Opening Range Breakout (Exits) | NR7 Pattern (Setup & Exit)
Related Topics: (Public) Trading Strategies

CFTC RULE 4.41: HYPOTHETICAL OR SIMULATED PERFORMANCE RESULTS HAVE CERTAIN LIMITATIONS. UNLIKE AN ACTUAL PERFORMANCE RECORD, SIMULATED RESULTS DO NOT REPRESENT ACTUAL TRADING. ALSO, SINCE THE TRADES HAVE NOT BEEN EXECUTED, THE RESULTS MAY HAVE UNDER-OR-OVER COMPENSATED FOR THE IMPACT, IF ANY, OF CERTAIN MARKET FACTORS, SUCH AS LACK OF LIQUIDITY. SIMULATED TRADING PROGRAMS IN GENERAL ARE ALSO SUBJECT TO THE FACT THAT THEY ARE DESIGNED WITH THE BENEFIT OF HINDSIGHT. NO REPRESENTATION IS BEING MADE THAT ANY ACCOUNT WILL OR IS LIKELY TO ACHIEVE PROFIT OR LOSSES SIMILAR TO THOSE SHOWN.

RISK DISCLOSURE: U.S. GOVERNMENT REQUIRED DISCLAIMER | CFTC RULE 4.41

Codes: matlab/crabel/bear-hook/

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