RealTest Strategies / RealTest Parabolic Short Selling Strategy

RealTest Parabolic Short Selling Strategy

A RealTest short-selling strategy that targets stocks after a parabolic run breaks down, based on the Qullamaggie exhaustion setup. When a stock has climbed too far too fast, the strategy waits for the move to crack and shorts the unwind. Tested on survivorship-free Norgate data with borrow costs and commissions modeled, and trading live since March 2024.

Beating SPY
$100k grows to $3.2M. SPY only $585k
Live Market Performing
Performs in live market conditions since 2024-03-01
Premium

Portfolio Growth

+545%

3,130.0%

SPY 485.4%

Sharpe Ratio

+130%

1.1

SPY 0.48

Max Drawdown

+13%

-43.4%

SPY -49.9%

RealTest Parabolic Short Selling Strategy equity curve vs SPY benchmark $100k$300k$1.0M$3.0M '02'04'06'08'10'12'14'16'18'20'22'24'26
Strategy SPY ETF

Strategy Overview

Why the setup works

A parabolic run happens when buying gets emotional and a stock climbs far faster than it can hold. Those moves are driven by late buyers and short-term momentum that runs out, and when the trend finally cracks the unwind tends to be quick as those same buyers rush for the exit. The strategy waits for that break rather than shorting strength, so it is short a move that is already failing rather than one that might still go higher.

How it was tested

Short strategies depend heavily on realistic costs, so the backtest includes Interactive Brokers commissions and an annual borrow fee on top of a limit-order buffer. It runs on Russell 1000 stocks including names later delisted, so survivorship bias does not flatter the results. The rules stay simple and were checked with walk-forward analysis. Results are shown on this page.

How it fits your trading

This is a short-side strategy, so its purpose is diversification rather than being a system on its own. It tends to make money when overextended stocks fall apart, which is often when long strategies are having a harder time, so it can balance a book built mostly from long systems. Because short exposure carries its own risks, it works best sized as one leg of a portfolio rather than run large on its own.

What You Get

RealTest by MHP Trading logo
RealTest Strategy Code (.rts)
Complete RealTest (.rts) strategy code. Import, backtest, and modify.
Trading strategy rules plain text document
Plain Text Rules
Full strategy logic in plain text. Clear rules for implementation on any trading platform.

Advanced Backtest Insights

Stress Test Analysis

Crisis PeriodDatesPortfolioSPY
Dotcom Crash 2000-03-10 → 2002-10-09 293.6% -41.8%
2008 Financial Crisis 2007-10-09 → 2009-03-09 89.5% -49.9%
COVID-19 Crash 2020-02-19 → 2020-03-23 2.2% -28.7%
2022 Bear Market 2022-01-03 → 2022-10-12 18.3% -21.3%
2025 Tariffs Crash 2025-02-19 → 2025-04-08 4.5% -16.3%

Monthly Returns

YearJanFebMarAprMayJunJulAugSepOctNovDecTotalMaxDD
2000-0.1-9.33.66.65.23.615.010.37.214.78.85.795.7%-12.7%
20018.73.26.3-5.2-0.3-0.05.81.62.514.26.9-2.048.3%-11.0%
20021.5-1.92.45.4-0.83.44.43.32.38.4-3.60.026.9%-6.7%
20030.30.80.34.4-0.93.33.01.22.3-2.8-0.2-1.110.8%-5.1%
20040.30.41.40.70.02.00.20.90.50.7-1.60.25.9%-2.3%
20050.1-0.61.21.21.8-0.32.00.12.4-0.33.11.012.3%-2.0%
20060.31.80.9-0.21.9-0.60.55.01.32.91.01.317.3%-1.5%
20071.0-0.60.40.30.10.81.92.71.92.5-0.2-3.37.7%-4.2%
2008-2.84.21.55.01.90.15.51.421.26.93.115.181.2%-5.4%
20095.82.00.21.8-1.31.2-4.8-0.71.24.60.50.311.0%-7.8%
20101.5-0.52.1-0.9-0.02.0-0.71.21.70.7-1.10.16.1%-2.5%
2011-2.4-0.70.30.1-0.20.30.1-0.02.61.01.7-0.12.6%-4.2%
2012-2.70.70.50.50.91.20.7-0.71.81.71.00.66.3%-4.1%
20133.81.5-0.1-1.32.40.00.60.71.31.01.2-0.710.8%-2.3%
20140.81.41.30.4-1.2-0.21.50.6-0.4-0.31.22.07.2%-1.9%
2015-0.3-1.01.60.70.90.00.12.22.5-2.0-0.20.65.1%-4.6%
20162.12.7-1.3-0.60.1-0.3-0.81.6-0.31.6-0.46.210.9%-9.1%
20170.70.40.60.5-0.10.70.30.20.61.0-3.50.21.6%-4.0%
20180.50.51.10.30.4-2.60.3-2.20.50.50.2-0.4-0.9%-5.4%
20190.10.70.3-2.20.40.9-0.4-1.4-0.91.0-0.9-3.0-5.4%-7.0%
2020-1.51.95.110.53.713.62.81.70.2-5.32.7-1.837.3%-16.8%
20214.4-0.32.31.5-1.97.10.3-3.7-1.11.83.71.015.6%-6.7%
20220.92.82.80.8-0.31.9-0.52.84.91.72.23.426.0%-5.5%
20233.15.4-0.41.51.03.4-0.11.31.20.7-2.8-2.312.4%-6.5%
20240.50.70.80.2-1.21.9-1.02.8-0.02.1-3.83.66.5%-7.9%
20254.03.01.41.7-5.8-6.5-1.32.1-9.6-1.60.4-2.4-14.6%-23.8%
2026-1.4-1.24.3-20.2-7.59.52.3-16.1%-28.7%
Avg1.10.71.50.5-0.01.71.41.31.82.20.70.915.9%-7.4%
MetricPortfolioSPY
Sortino Ratio1.010.45
MAR Ratio0.32-
Net Profit$3.2M$485k
Expectancy0.78-
Trades45211
Win Rate64.21%-
Max Exposure124.4%100.0%
Best Year95.7%27.0%
Worst Year-16.1%-33.2%

Statistical Edge Verification

Science, governed by mathematics

Live Market Performance
Performs in real market conditions since 2024-03-01
Verified
Statistical Validation
Validated across In-Sample & Out-of-Sample data
Passed
Walk Forward Analysis
Tests robustness across unseen data
Passed
Monte Carlo Stress Test
Resilient against 1,000+ sequence risk simulations
Passed
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Quick start guide

From download to first backtest in 1 minutes

1
You download the .rts file
Click Download
2
You open it in RealTest
File → Open → Select file
3
You import symbols
Click Import
4
You run the backtest
Click Test
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For RealTest automated execution

1
Open OrderClerk
Click 'Connect to IB'
2
Import signals
Click 'Import' in RealTest
3
Generate orders
Click 'Orders' in RealTest
4
Execute trades
Click 'Place Orders'

Total daily time: ~5 minutes

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Strategy Details

Style
Mean Reversion
Universe
Russell 1000 Current & Past Stocks
Timeframe
Daily
Side
Short
Entry execution
Limit Order
Exit execution
Limit & Market

Model assumptions

Included in Backtest

Commission$0.005 / Share + 2% Annual Borrow Fee
Limit Price Buffer0.1% Past Limit

SPY Buy & Hold Benchmark

Does not include any transaction fees, slippage, or management costs.

Portfolio Builder & Simulator

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Strategy Code Preview

RealTest full source code included in download

RealTest Parabolic Short Selling Strategy RealTest code structure

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RealTest Parabolic Short Selling Strategy

$999one-time

Full strategy code and rules.

  • 3,130.0% Portfolio Growth
  • In-Sample / Out-of-Sample Validated
  • Survivor-Bias Free
  • Outperforms SPY Benchmark
  • Fully Customizable Source Code
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