This strategy uses the Price Performance Index (PPI) to determine market trend direction - going long when PPI rises and short when it falls. PPI calculates price change percentage over a period to gauge price momentum and future direction.
Main logic:
PPI calculates percentage price change over a period (default 14 days)
When PPI rises, it indicates increasing price - go long
When PPI falls, it indicates decreasing price - go short
Option to reverse trade signals
Rising PPI shows accumulating upward momentum, falling PPI shows downward momentum. Tracking PPI with proper parameters can capture medium-long term trends.
Simple indicator to determine price trend and momentum
Customizable parameters fit various products
Clear and intuitive trading logic
Reversal trading adapts to different market environments
Unable to filter out short-term noise, prone to false breakouts
No position sizing or stop loss management
Poor parameters may miss trends or over-trade
Mitigations:
Optimize parameters to balance stability and sensitivity
Add stop loss to control loss per trade
Consider position sizing to lower risk per trade
Test parameter combinations for different products
Add other filters to screen false signals
Develop dynamic position sizing mechanism
Add trailing or time-based stop loss
ML to judge signal quality
This strategy determines trend by price performance index, with simplicity and universality. Further improvements in parameters, risk controls etc. can make it a robust quant strategy. It provides an effective approach of using simple indicators for trend detection.
/*backtest
start: 2022-09-14 00:00:00
end: 2023-09-20 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=2
////////////////////////////////////////////////////////////
// Copyright by HPotter v1.0 23/03/2018
// The Performance indicator or a more familiar term, KPI (key performance indicator),
// is an industry term that measures the performance. Generally used by organizations,
// they determine whether the company is successful or not, and the degree of success.
// It is used on a business’ different levels, to quantify the progress or regress of a
// department, of an employee or even of a certain program or activity. For a manager
// it’s extremely important to determine which KPIs are relevant for his activity, and
// what is important almost always depends on which department he wants to measure the
// performance for. So the indicators set for the financial team will be different than
// the ones for the marketing department and so on.
//
// Similar to the KPIs companies use to measure their performance on a monthly, quarterly
// and yearly basis, the stock market makes use of a performance indicator as well, although
// on the market, the performance index is calculated on a daily basis. The stock market
// performance indicates the direction of the stock market as a whole, or of a specific stock
// and gives traders an overall impression over the future security prices, helping them decide
// the best move. A change in the indicator gives information about future trends a stock could
// adopt, information about a sector or even on the whole economy. The financial sector is the
// most relevant department of the economy and the indicators provide information on its overall
// health, so when a stock price moves upwards, the indicators are a signal of good news. On the
// other hand, if the price of a particular stock decreases, that is because bad news about its
// performance are out and they generate negative signals to the market, causing the price to go
// downwards. One could state that the movement of the security prices and consequently, the movement
// of the indicators are an overall evaluation of a country’s economic trend.
//
// You can change long to short in the Input Settings
// WARNING:
// - For purpose educate only
// - This script to change bars colors.
////////////////////////////////////////////////////////////
strategy(title="Perfomance index Backtest")
Period = input(14, minval=1)
reverse = input(false, title="Trade reverse")
xKPI = (close - close[Period]) * 100 / close[Period]
clr = iff(xKPI > 0, green, red)
p1 = plot(xKPI, color=blue, title="KPI")
p2 = plot(0, color=blue, title="0")
pos = iff(xKPI > 0, 1,
iff(xKPI < 0, -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 )
fill(p1,p2,color=clr)