Euro/Usd 5min backtest result: Settings used: 15 point take profit, no stop loss, 0.9 sensitivity
I can find similar results on usd/jpy
What do you guys think of it?
Code:
```// This source code is subject to the terms of the Mozilla Public License 2.0 at
https://mozilla.org/MPL/2.0/ // © RyoAsukae
//@version=5
strategy(title = "Regression-Strat", shorttitle="Reg-Strat", overlay=true,initial_capital = 1000, default_qty_value = 100, default_qty_type = strategy.percent_of_equity)
src = close
l1 = 25
l2 = 200
l3 = 600
lin1 = ta.linreg(close,l1,0)
lin2 = ta.linreg(close,l2,0)
lin3 = ta.linreg(close,l3,0)
slope1 = (lin1 - lin1[l1])/l1
slope2 = (lin2 - lin2[l2])/l2
slope3 = (lin3 - lin3[l3])/l3
above = ta.crossover(close,lin1) and slope2 > 0 and slope2 > slope3 or ta.crossover(0,slope2)
below = ta.crossover(lin1,close) and slope2 < 0 and slope2 < slope3 or ta.crossover(slope2,0)
trueRange = na(high[1])? high-low : math.max(math.max(high - low, math.abs(high - close[1])), math.abs(low - close[1]))
sensitivity = input(1.0,"Sensitivity")
atr = trueRange/sensitivity
short = below and ta.atr(10) >= atr
long = above and ta.atr(10) >= atr
p = input(50,"TP")
l = input(50,"SL")
Y = input(2021,"Year")
M = input(1,"Month")
D = input(1,"Day")
date = time >= timestamp(syminfo.timezone,Y,M,D,0,0)
strategy.entry("long",strategy.long, when = long and date)
strategy.exit("exit","long",loss = l,profit = p)
strategy.entry("short",strategy.short, when = short and date)
strategy.exit("exit","short",loss = l,profit = p) ```
I was looking at spy over the last year and half, and mid prices for $1 wide spreads
One week out at $5 under current price gets about 10% return 80% of the time.
2 weeks out 26% return 82% of the time
One month out is 28% return 86% of the time.
Is this too good to be true? Do you see any flaws with this plan?
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