SettingScout Lab

Supertrend CCI (Supertrend CCI Strategy, Daveatt) behaved very differently by timeframe. Over the past 90 days, 53% of setting combinations finished positive after fees on 4h, but only 0% did on 15m. We ran all 1,400 setting combinations on 10 coins (BTC, ETH, SOL, XRP, BNB, DOGE, ADA, LINK, SUI and HYPE) across 15m, 30m, 1h and 4h, with a 0.11% fee taken out of every trade. The figures in this post are as of 2026-10-20, and every result is recomputed nightly with fresh data. What does Supertrend CCI actually measure? Supertrend CCI is a strategy published on TradingView by Daveatt. It keeps the familiar Supertrend bands but hands the trend decision to the Commodity Channel Index instead of the closing price. Bands are drawn above and below the bar midpoint (hl2) at a distance of ATR times Factor, and the trend is up while CCI sits above its midline and down while it sits below. The lower band trails price in an uptrend, the upper band in a downtrend. In a classic Supertrend, price...

We recomputed 184,480 setting combinations on BTC, ETH, SOL, XRP, BNB, DOGE, ADA, LINK, SUI and HYPE across 15m to 4h over the past 90 days, with the 0.11% fee per trade included, and compared them with 2026-10-12 (7 days earlier). Strategies that improved BTCUSD Supertrend + EMA Trend Filter (1H): 38% → 44% of settings positive (+7 points) Golden Cross, SMA 200 Long Only, Moving Average Strategy (by ChartArt): 81% → 87% of settings positive (+6 points) Bollinger + RSI, Double Strategy (by ChartArt) v1.1: 39% → 41% of settings positive (+2 points) MACD + SMA 200 Strategy (by ChartArt): 40% → 42% of settings positive (+2 points) [STRATEGY][RS]MicuRobert EMA cross V2: 42% → 44% of settings positive (+1 points) Common thread: 4h Across the scripts that improved, the share of positive settings changed like this by timeframe. 15m: 46% → 44%. 30m: 48% → 51%. 1h: 56% → 60%. 4h: 25% → 35%. Highest share of positive settings this week Advanced Ichimoku Clouds Strategy Long and Short: 98% of...

Say you put BBP (Bull Bear Power) on your chart and traded every signal for the last 90 days. Here is how the default 13 did, side by side with every other setting combination under the same conditions. We ran all 760 setting combinations on 10 coins (BTC, ETH, SOL, XRP, BNB, DOGE, ADA, LINK, SUI and HYPE) across 15m, 30m, 1h and 4h, with a 0.11% fee taken out of every trade. The figures in this post are as of 2026-10-18, and every result is recomputed nightly with fresh data. How does BBP work? Bull Bear Power (BBP) is built on Alexander Elder's Elder-Ray Index. It uses an exponential moving average (EMA) of the close as a baseline: the high minus the EMA is Bull Power, and the low minus the EMA is Bear Power. TradingView's built-in BBP adds the two together and plots the sum as a histogram around a zero line. A positive BBP means the bar's high and low lean above the average, so buyers have the upper hand; a negative value means sellers are in control. A zero-line c...

BB (Bollinger Bands) behaved very differently by timeframe. Over the past 90 days, 90% of setting combinations finished positive after fees on 4h, but only 11% did on 15m. We ran all 1,400 setting combinations on 10 coins (BTC, ETH, SOL, XRP, BNB, DOGE, ADA, LINK, SUI and HYPE) across 15m, 30m, 1h and 4h, with a 0.11% fee taken out of every trade. The figures in this post are as of 2026-10-17, and every result is recomputed nightly with fresh data. What does BB actually measure? Bollinger Bands (BB) are a volatility tool developed by John Bollinger. The middle line is a simple moving average of the close, and the upper and lower bands sit a multiple of the standard deviation of the close above and below it. TradingView's defaults are a length of 20 and a multiplier of 2. The bands widen when volatility rises and tighten when the market calms down. A touch of the lower band means price has stretched further below its recent average than usual. That makes it a common trigger for ...

Is the default Aroon (Aroon Indicator) good enough? TradingView loads Aroon with 14 out of the box, so we checked how those exact inputs held up in the latest market. We ran all 720 setting combinations on 10 coins (BTC, ETH, SOL, XRP, BNB, DOGE, ADA, LINK, SUI and HYPE) across 15m, 30m, 1h and 4h, with a 0.11% fee taken out of every trade. The figures in this post are as of 2026-10-16, and every result is recomputed nightly with fresh data. What is Aroon? Aroon is a trend indicator developed by Tushar Chande; the name comes from the Sanskrit word for "dawn's early light." Within a lookback window it counts how many bars have passed since the highest high and since the lowest low, producing two lines: Aroon Up and Aroon Down. If the high was just made, Aroon Up sits at the top of its range; the older the high, the lower the line. Both lines are expressed as percentages. A high Aroon Up with a low Aroon Down points to an uptrend where fresh highs keep coming, and the r...

Say you put AO (Awesome Oscillator) on your chart and traded every signal for the last 90 days. Here is how the default 5 · 34 did, side by side with every other setting combination under the same conditions. We ran all 1,680 setting combinations on 10 coins (BTC, ETH, SOL, XRP, BNB, DOGE, ADA, LINK, SUI and HYPE) across 15m, 30m, 1h and 4h, with a 0.11% fee taken out of every trade. The figures in this post are as of 2026-10-15, and every result is recomputed nightly with fresh data. How does AO work? The Awesome Oscillator (AO) is a momentum indicator created by Bill Williams. It takes the median price of each bar, the average of high and low (hl2), and builds two simple moving averages from it: a short one and a long one. AO is simply the short SMA minus the long SMA. On TradingView the defaults are 5 and 34, and the result is drawn as a histogram swinging above and below a zero line. When AO sits above zero, the recent midpoint of price is higher than its longer-term average; b...

We ran all 1800 settings of Arnaud Legoux Moving Average (TradingView built-in) on BTC, ETH, SOL, XRP, ADA, BNB, DOGE, HYPE, LINK and SUI across 15m, 30m, 1h and 4h over the past 90 days, with the 0.11% fee per trade included. The clearest pattern was timeframe. Where it worked best: BTC 4h, where 100% of settings (45 of 45) ended positive after fees. Why timeframe: fees Every trade pays 0.11%, so the more often a setting trades, the more the fee takes out of its result. 15m: settings averaged 1107 trades, so fees took about 121.7 percentage points, and 0% of the settings that were positive before fees stayed positive after. 30m: settings averaged 556 trades, so fees took about 61.1 percentage points, and 1% of the settings that were positive before fees stayed positive after. 1h: settings averaged 274 trades, so fees took about 30.1 percentage points, and 23% of the settings that were positive before fees stayed positive after. 4h: settings averaged 68 trades, so fees took about 7....