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Script leaderboard · data 2026-09-26

[JOAT] Apex Flow Engine strategy results by timeframe and regime | TensorTrader

Backtest results for the TradingView indicator [JOAT] Apex Flow Engine: median ROI, Sortino and worst drawdown by timeframe and market regime, and how to automate it paper first.

[JOAT] Apex Flow Engine: tournament results

[JOAT] Apex Flow Engine is a published TradingView indicator that TensorTrader's script tournament backtested across many symbols. It placed on the leaderboard 3 times: 2 timeframe rankings and 1 market-regime ranking.

Its best placement was the 4h chart with a median per-symbol ROI of +37.6%. The worst max drawdown across its placements was 35.0%. The tournament ranks scripts within the same timeframe using median per-symbol ROI, median Sortino and the worst drawdown, not pooled compounding, so one lucky symbol cannot carry a script.

By timeframe

1h
median ROI +16.6%, median Sortino 0.14, worst drawdown 17.4%
4h
median ROI +37.6%, median Sortino 0.18, worst drawdown 35.0%

By market regime

Chop is no trend but high volatility: big swings in both directions where breakouts often fail.

Chop
median ROI +16.8%, median Sortino 0.46, worst drawdown 14.9% on 4h

Where it ranks

1h leaderboard
#4 of 16; its median ROI is 119.5 pts below that list's median (+136.1%)
4h leaderboard
#3 of 16; its median ROI is 148.1 pts below that list's median (+185.7%)
Chop regime list
#7 of 14; its median ROI is 0.0 pts above that list's median (+16.8%)

Automating a indicator

As an indicator, [JOAT] Apex Flow Engine automates through its alert conditions: one alert per direction per token and timeframe, with each condition mapped to open long or open short in the extension's Variable alignment step. If it only calls alert(), one "Any alert() function call" alert per token is enough.

What these numbers mean

These are strategy-tester backtests on stored tapes, refreshed as the tournament runs (board generated 2026-09-26). Backtests understate costs and flatter fills, so a placement here is a reason to paper trade [JOAT] Apex Flow Engine, not evidence that it will earn. Check the worst drawdown as well as the median ROI, and prefer scripts that place in several regimes or timeframes.

Automate [JOAT] Apex Flow Engine

  1. 1Add [JOAT] Apex Flow Engine to your TradingView favorites from its TradingView page.
  2. 2Open the TensorTrader extension, Batch Create, and select a testnet exchange key.
  3. 3Pick [JOAT] Apex Flow Engine in step 3 · Signal source; the alert mechanism is detected automatically.
  4. 4Choose tokens and timeframes, review the plan roster and create the alerts.

Not financial advice. Figures are TensorTrader optimizer or backtest results with the method stated; past results do not predict future returns.

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