Bear Power Tracking Strategy

Author: ChaoZhang
Complexity: Starter · 44 lines
Parameters: 3
Backtest bar: 1d · swing
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

The Bear Power Tracking Strategy is designed based on Dr. Alexander Elder's Elder Ray indicator to measure buying and selling pressure in the market. It uses a 13-day exponential moving average (EMA) to indicate the market consensus of value and uses the Bear Power indicator to measure the ability of sellers to push prices below the consensus value.

Strategy Logic

The core indicator of this strategy is Bear Power, which is calculated by subtracting the 13-day EMA from the daily low price. It reflects the ability of sellers to push prices below the average consensus of value.

When Bear Power crosses above the specified threshold, a long position is opened. When it crosses below, a short position is opened.

In addition, the long/short direction can also be switched via the "Reverse Trade" boolean parameter, which reverses the signal when set to True.

The strategy is simple and easy to implement with one indicator judging direction.

Advantage Analysis

The advantages of this strategy include:

Simple to understand and implement with a single indicator
Flexible parameter adjustment for different market environments
Reversal trade enrichs strategy types

Risk Analysis

There are also some risks:

False signals may be generated with a single indicator
No stop loss may lead to huge losses
Improper parameters may cause over-trading

Confirmation with multiple indicators, stop loss and parameter tuning could help optimize it.

Optimization Directions

Some directions to optimize the strategy:

Add other indicators like MACD, KDJ to filter signals
Add moving stop loss to limit losses
Optimize indicator parameters for entry and exit points
Fundamental analysis stock selection
Combine with other strategies

Summary

The Bear Power Tracking Strategy has a simple concept of judging entry and exit by comparing one indicator to a threshold. As a indicator-based strategy, there is still large room for optimization in aspects like indicators, stop loss and stock selection to make it more steady and reliable.

Parameters

Name	Default	What it controls
v_input_1	13	Length
v_input_2	false	Trigger
v_input_3	false	Trade reverse

Source Pine Script

/*backtest
start: 2023-12-01 00:00:00
end: 2023-12-31 23:59:59
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version = 2
////////////////////////////////////////////////////////////
//  Copyright by HPotter v1.0 07/12/2016
// Developed by Dr Alexander Elder, the Elder-ray indicator measures buying 
// and selling pressure in the market. The Elder-ray is often used as part 
// of the Triple Screen trading system but may also be used on its own.
// Dr Elder uses a 13-day exponential moving average (EMA) to indicate the 
// market consensus of value. Bear Power measures the ability of sellers to 
// drive prices below the consensus of value. Bear Power reflects the ability 
// of sellers to drive prices below the average consensus of value.
// Bull Power is calculated by subtracting the 13-day EMA from the day's High. 
// Bear power subtracts the 13-day EMA from the day's Low.
// You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
// You can change long to short in the Input Settings
// Please, use it only for learning or paper trading. Do not for real trading.
////////////////////////////////////////////////////////////
strategy(title="Elder Ray (Bear Power) Strategy Backtest")
Length = input(13, minval=1)
Trigger = input(0)
reverse = input(false, title="Trade reverse")
hline(0, color=purple, linestyle=line)
xPrice = close
xMA = ema(xPrice,Length)
DayLow = iff(dayofmonth != dayofmonth[1], low, min(low, nz(DayLow[1])))
nRes = DayLow - xMA
pos = iff(nRes > Trigger, 1,
	   iff(nRes < Trigger, -1, nz(pos[1], 0))) 
possig = iff(reverse and pos == 1, -1,
         iff(reverse and pos == -1, 1, pos))	   
if (possig == 1) 
    strategy.entry("Long", strategy.long)
if (possig == -1)
    strategy.entry("Short", strategy.short)	   	    
barcolor(possig == -1 ? red: possig == 1 ? green : blue )
plot(nRes, color=blue, title="Bear Power", style = histogram)

Published by ChaoZhang on the FMZ strategy square · last modified 2024-01-12. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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