Parabolic SAR
CASE #12Follows the trend with the Parabolic SAR indicator.
All-in-one · 13 strategies · 9 markets · mixed timeframes
No losing year in the backtest since 2019. 2024–26 includes tuned data: 5 of 13 members tuned on data to Aug 2025. Hypothetical backtest on a $100,000 account.
Build years (2019 to 2023)2024–26 data, hatchedDeepest drop: −8.0%, Apr 2019 to Jun 2019
No losing year in the backtest since 2019.
* Part year: the bot's data starts after mid-January. Hatched bars are part years. The current year is marked "so far".
Simulated 2-step prop-firm challenge on past data from a flat account, no time limit. Not a guarantee. Prop firms may restrict many traders running the same bot — check your firm's rules. 1% risk = every trade risks 1% of the account. Portfolio bots are shown at their standard setting.
Straight talk
Every table behind the numbers. Open what you need.
| Won per $1 lost, 2024–26 datathe profit factor | $1.37 |
|---|---|
| Won per $1 lost, all years2019 to Sep 2026 | $1.41 |
| Win ratetrades that made money | 41% |
| Trades per yearall markets together | 813 |
| Trades a monthall markets together | 67.7 |
| Average trade% of the account, after costs | +0.04% |
| Average holdtime in each trade | 2.9 days |
| Growth per yearaverage gain, no compounding | +18.6% |
| Profitable monthsmonths that ended up | 87% |
Won per $1 lost is the profit factor. 2024–26 data runs from 2024 to Sep 2026. Worst drop is the deepest drop from a peak, 2019 to 2026.
| Worst dropdeepest drop from a peak | −8.0% |
|---|---|
| Worst-case dropbad-luck case, 5,000 simulations | −6.2% |
| Worst daybiggest one-day loss | −2.39% |
| Losing yearscalendar years that lost money | 0 |
| Markets and timeframewhat it trades | Bitcoin, DAX 40, Dow 30, EUR/USD, GBP/USD, Gold, Nasdaq 100, S&P 500, USD/JPY · 5-minute to 4-hour |
| Risk per trade usedStandard setting, of the $100,000 account | 0.11% to 0.57% per strategy |
| Funded 90-day survivalafter passing, at the Prop-firm safe setting | 100% |
The funded 90-day row uses the Prop-firm safe setting (trades 16% smaller). Every other number uses the Standard setting on a $100,000 account, no compounding. The prop-firm challenge has its own box above, with its own setting.
Setting 1.75x Standard sizing, daily stop 2%, half risk after a 3% drawdown, open-risk cap 4%
Standard risk the bot's own default size. Standard setting ≈ 0.13% per strategy trade, open-risk cap 3.5%. No daily stop, no drawdown throttle, no profit cushion.
Then, on the funded account: use the Prop-firm safe setting. Set Risk preset to Prop-firm safe.
Out of 1,766 start days since 2019, each starting from a flat account; 178 of them start in 2024–26, after the setting was chosen. "Failed" is the share that hit the 5% daily or 10% total loss limit. Typical time is for the runs that passed.
5 members come from StratForge, and their settings were tuned on data through Aug 2025. So 13 Aug 2025 onward is the only slice no setting has seen: profit factor 1.54 on 770 trades. It is a short window, so treat it as a check, not a promise.
| Measure | Design 2019–2023 | Test 2024–2026 | From Aug 2025 |
|---|---|---|---|
| Profit factor | 1.42 | 1.37 | 1.54 |
| Trades | 4,076 | 2,053 | 770 |
| Net result | +182% | +79% | +42% |
| Max drawdown | −8.0% | −3.2% | −3.8% |
| Worst day | −2.39% | −1.65% | −1.34% |
| Months positive | 88% | 84% | 92% |
Every Algo Court bot goes through the same 10 steps. Each one shows the real number behind it.
8 members started as strategies taught in a video or book. We coded the taught rules exactly, before changing anything. Their rules are in the strategy reviews (Inside Bar keeps its exact rules private). The other 5 come from StratForge, our own strategy factory, and have no strategy review.
We rebuilt each case-file strategy from scratch and compared it with its published results. The StratForge members were re-run through the StratForge engine and compared with their stored runs.
Commission, spread and slippage are charged on every single trade.
We chose the members, their weights and the total risk using the first five years only. Then we ran it on the years after. Five members' own settings were tuned on data up to Aug 2025, so see the last section for the cleanest slice.
The strategies win and lose on different days. That smooths the ride.
Total risk was sized so the deepest drop in 2019–2023 was 8% of the account. The test years played no part.
Stress test: we shuffled the order of the test-period trades 5,000 times to see how bad a bad run can get.
Max drawdown of each shuffled run. Runs worse than 8% are counted in the last bar. Design-period 95th percentile: 6.1%.
We checked every day, and every rolling 30 days, against a 5% daily and 10% total loss limit.
| Design 2019–2023 | Test 2024–2026 | |
|---|---|---|
| Days past the 5% daily limit | 0 | 0 |
| 10% total limit hit | No | No |
| 30-day windows that breached | 0.0% 0 of 1,559 | 0.0% 0 of 792 |
One bot, two platforms. Both versions compile with no errors and no warnings.
Next: a public forward test on a demo account. Results will be published here as they come in. No backtest can replace this step.
8 members have an Algo Court strategy review. 5 come from StratForge, our own strategy factory, and have no strategy review. The bot runs them together, each on its own market and timeframe.
Follows the trend with the Parabolic SAR indicator.
Trades the Dow at a fixed time on Fridays. Flat by the end of the day.
Trades the snap-back after price closes outside its Bollinger Bands.
Trades the reversal after big price gaps in the first 90 minutes of the New York session.
Bets that the gap between yesterday's close and today's open gets filled. Flat by the close.
Buys the S&P 500 after three lower closes in a row. Long only.
Trades breakouts from inside-bar patterns on the Nasdaq. The exact rules stay private.
Follows the Nasdaq's trend around the weekly pivot levels.
Buys when the 50-period average crosses above the 200-period one, on 8 markets. Long only.
Trades the Nasdaq breakout that follows a stretch of unusually tight, quiet trading.
Trades gold when price breaks out of the Ichimoku cloud, and trails its stop behind the move.
Sells when price closes below the dip between two equal highs. Buys the mirror image after two equal lows.
Trades gold breakouts from a tight price coil, and trails its stop behind the move.
84% of months were positive in the test period, 88% in the design period.
| Month | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
|---|---|---|---|---|---|---|---|---|
| Jan | +3.6 | +2.1 | +3.5 | +0.4 | +4.7 | +0.3 | +2.4 | +3.5 |
| Feb | +2.1 | +1.8 | +5.4 | +0.8 | +5.9 | +1.5 | +0.5 | +1.5 |
| Mar | −1.7 | +1.9 | +9.3 | +10.0 | +10.5 | +1.3 | +2.6 | +7.3 |
| Apr | +1.0 | +6.2 | +3.6 | +7.7 | 0.0 | 0.0 | +10.2 | +4.9 |
| May | −5.4 | −1.1 | +1.8 | +1.8 | +0.9 | −0.2 | +1.8 | +4.1 |
| Jun | +2.5 | +7.2 | +5.5 | +0.4 | +8.2 | +5.1 | +2.5 | +4.6 |
| Jul | −1.0 | +5.2 | +1.4 | +3.0 | +2.9 | +1.8 | −0.3 | +2.8 |
| Aug | +1.7 | +8.4 | +4.2 | +0.9 | +5.5 | +3.7 | +2.1 | |
| Sep | +0.3 | +2.2 | +1.9 | +2.0 | −0.8 | +1.2 | +4.1 | |
| Oct | −0.8 | 0.0 | +3.6 | +4.9 | +3.6 | +0.8 | −0.7 | |
| Nov | +1.2 | +1.9 | +7.1 | +4.4 | +0.5 | +0.6 | +4.2 | |
| Dec | +3.1 | +5.4 | +3.7 | +2.8 | +4.6 | −0.7 | +3.3 | |
| Year | +6.7 | +41.2 | +51.1 | +39.2 | +46.4 | +15.5 | +32.7 | +28.8 |
Each cell is that month's result in % of a $100,000 account, at fixed risk with nothing compounded. Green is a winning month and red a losing one, and every cell shows its sign. The latest month, Jul 2026, is partial. Losing months have a dashed outline as well as red.
A preset scales the risk on every trade. The rules and markets stay the same.
| Measure | Standard | Conservative | Prop-firm safe |
|---|---|---|---|
| Risk per trade, vs Standard | ×1.00same as Standard | ×0.84 | ×0.84same as Conservative |
| Worst day, 2024–2026 | −1.65% | −1.38% | −1.38% |
| Max drawdown, 2024–2026 | −3.2% | −2.7% | −2.7% |
| Stress test, 95th percentile, 2024–2026 | 6.5% | 5.6% | 5.6% |
| Bot setting (risk multiplier) | 1.00 | 0.83 | 0.83 |
On prop-firm accounts start with Prop-firm safe. It is the most cautious size.
Quick answers
Something else? Write to us:
support@algocourt.com
cTrader and MetaTrader 5, on any broker that offers them and the markets this bot trades: USD/JPY, Dow 30, GBP/USD, Nasdaq 100, S&P 500, Bitcoin, EUR/USD, Germany 40, Gold. Broker symbol names differ, so you match each one in the bot's settings. The setup guide shows how.
Yes, with the Prop-firm safe preset. In the backtest it kept the worst test-period day at −1.38% and never touched the 5% daily or 10% total limit. Following your firm's rules is your responsibility.
Every number on this page is for a $100,000 account. Risk is a percentage of your balance, so a smaller account just uses smaller position sizes. Very small accounts can run into broker minimum sizes. Start on a demo account.
No. You load the bot on cTrader or MetaTrader 5, pick a risk preset and start it. A step-by-step setup guide is included.
It is starting now: the bot runs on a public demo account and the results are published here. Until that record builds up, judge it on the tests above and run it on your own demo account first.
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