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Kase Dynamic Stop Loss Strategy

Cryptocurrency
Created: 2023-09-13 14:08:47
Last modified: 3 years ago
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This strategy is based on Mr. Kase's dynamic stop loss approach, computing price's dynamic range to find optimal stop loss and take profit levels for balancing profits and losses.

Strategy Logic:

  1. Calculate price's dynamic range indices RWH and RWL.

  2. Derive deviation level index Pk from RWH and RWL.

  3. When Pk>0, compute stop loss based on deviation level. When Pk<0, compute take profit.

  4. Deviation multiples generally range from 1-3 standard deviations.

  5. Take opposing position when price hits stop loss/profit.

Advantages:

  1. Dynamic stops/profits adapt to changing volatility.

  2. Stops are neither too tight nor too loose.

  3. Mathematical approach avoids emotional and subjective judgments.

Risks:

  1. Stop calculations lag, potentially missing best stop timing.

  2. Parameter tuning needed to balance stops and targets.

  3. No limit on loss size, risks large losing trades.

In summary, this approach can intelligently optimize stops and targets to some extent but still requires robust backtesting. It also cannot fully eliminate subjective risks so prudent trading remains essential.

Source
Pine
/*backtest
start: 2023-01-01 00:00:00
end: 2023-04-15 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4
////////////////////////////////////////////////////////////
//  Copyright by HPotter v1.0 09/10/2019
//  The Kase Dev Stops system finds the optimal statistical balance between letting profits run, 
Strategy parameters
Strategy parameters
Length
Trade From Level
Trade reverse
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