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Strategies / Mean reversion / Inverse Fisher RSI Dip Buyer

Inverse Fisher RSI Dip Buyer

Buys when the inverse Fisher transform of RSI falls below -0.8167 and price drops sharply or sits below its 48-bar EMA. Sells when ADX is above 70 and the transform is above 0.95954 with TEMA falling.

Mean reversionLong onlySwingFTSE 100Daily
n/aProfit factor
2,513Net profit EUR
100.00%Win rate
1Trades
-1,064Max drawdown
2,513Avg trade

Best run of 1. FTSE 100, Daily, spread 2, from run sweeps:2026-10-04-FTSE100-D-opt.tsv:68.

Entry rules, long

  1. Path A: the 40-bar Bollinger half-width exceeds 0.01118 times the close, and the absolute close change exceeds 0.01232 times the close.
  2. Path A also needs the close-to-low tail under 0.88481 times the half-width and the close below the prior bar's lower band.
  3. Path A also needs the close at or below the prior close and TEMA(9) rising.
  4. Path B: the close is below EMA(48) and below 0.00396 times the lower 20-bar Bollinger band of typical price.
  5. Path B also needs volume below 29 times the prior 24-bar average volume.

Exit rules

  1. The inverse Fisher transform of RSI must also be above 0.95954.
  2. A stop loss 1.5% below the entry price closes the trade.
  3. A buy signal is ignored on a bar that also has a sell signal.

Test conditions

PeriodUp to 2026-10-04
InstrumentFTSE 100, Daily
Spread2 points
Starting capital1,000,000
CostsSpread only. Commissions and overnight financing are not included.
BarsUp to 200,000 bars, fewer where the instrument has less history
Last tested2026-10-04

Every run

Markets and timeframes tested

MarketTimeframePFTradesWin %NetMax DD
FTSE 100Best runDailyn/a 1100.002,513 EUR-1,064

Charts

Results by run

Net profitMax drawdown

The code

ProBuilder code, as tested

// ==============================================================
// Inverse Fisher RSI Dip Buyer
// ProRealAlgos Strategy Library  |  prorealalgos.com
// Type: Mean reversion
// Direction: Long only
// Timeframe tested: Daily
// ==============================================================

DEFPARAM CumulateOrders = false

midone = Average[40](close)
lowerone = midone - 2 * STD[40](close)
bbdelta = abs(midone - lowerone)
midtwo = Average[20](TypicalPrice)
lowertwo = midtwo - 2 * STD[20](TypicalPrice)
closedelta = abs(close - close[1])
tail = abs(close - low)
emaslow = ExponentialAverage[48](close)
volmean = Average[24](volume)
myRsi = RSI[14](close)
myR = 0.1 * (myRsi - 50)
fisher = (exp(2 * myR) - 1) / (exp(2 * myR) + 1)
myTema = TEMA[9](close)
myAdx = ADX[14]

17 more lines: the entry and exit rules.

Setup

How to load it

  1. Copy the code with the copy button on the code block.
  2. In ProRealTime, open a chart of the instrument and timeframe you want to test, then open ProOrder > New trading system and choose "Create with programming".
  3. Paste the code, give the system a name and save it.
  4. Click "Backtest", set your own spread and position size, and run it before you consider trading it live.

Indicators used

RSIBollinger BandsTEMAEMASMAADXVolume
Read this firstKnown weaknesses3 points
  • No profit factor is available, because only sweep results exist for this strategy.
  • The best run has only 1 trades, which is a small sample to judge it on.
  • It was only tested on FTSE 100, so there is no evidence from other markets.

Questions

About this strategy

Can I run Inverse Fisher RSI Dip Buyer in ProOrder?

Yes. The code is ProBuilder and runs as an automated ProOrder system. Backtest it on your own account with your own spread and position size before trading it live.

Which markets was it tested on?

It was tested on one combination, FTSE 100, Daily, with 1 trades.

How large was the drawdown?

The best run had a maximum drawdown of 1,064 EUR at the tested position size, against a net result of 2,513 EUR.

Does it trade long, short or both?

It only takes long trades.

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See how ProRealAlgos combines strategies like this into one automated portfolio.

The ProRealAlgos community gets the full rules, the complete code and the automated portfolio.

Past backtest results do not guarantee future results. This is not financial advice. Curated and maintained by ProRealAlgos. ProRealTime™ is a trademark of ProRealTime SAS. prorealalgos.comStatsDocs