Table to filter trades per day

Script from: TradingViewLongTerm

Top 27 Backtests of Table to filter trades per day

Explore the most profitable cryptocurrency and stock backtests with Table to filter trades per day Strategy (on TradingView).

Filters

Renault (RNO)

+ Table to filter trades per day

@ 15 min

2.74

Profit Factor

145.89 %

Total ROI

iPath Series B S&P 500 VIX Short-Term Futures ETN (VXX)

+ Table to filter trades per day

@ 2 h

2.15

Profit Factor

618.27 %

Total ROI

DOT / TetherUS (DOTUSDT)

+ Table to filter trades per day

@ 4 h

2.13

Profit Factor

297.05 %

Total ROI

Boeing Company (The) (BA)

+ Table to filter trades per day

@ 15 min

2.01

Profit Factor

86.33 %

Total ROI

E-MINI DOW (5$) FUTURES (YM1!)

+ Table to filter trades per day

@ 5 minTradeSearcher backtest

1.71

Profit Factor

19.15 %

Total ROI

AT&T Inc. (T)

+ Table to filter trades per day

@ 1 h

1.70

Profit Factor

114.30 %

Total ROI

GALA / TetherUS (GALAUSDT)

+ Table to filter trades per day

@ 2 h

1.61

Profit Factor

786.37 %

Total ROI

IOTA / TetherUS (IOTAUSDT)

+ Table to filter trades per day

@ 15 min

1.39

Profit Factor

62.85 %

Total ROI

Gold Futures (GC1!)

+ Table to filter trades per day

@ 15 minTradeSearcher backtest

1.39

Profit Factor

71.50 %

Total ROI

GRT / TetherUS (GRTUSDT)

+ Table to filter trades per day

@ 4 h

1.38

Profit Factor

173.02 %

Total ROI

Stellantis NV (STLAP)

+ Table to filter trades per day

@ 15 min

1.38

Profit Factor

49.74 %

Total ROI

British Pound/U.S. Dollar (GBPUSD)

+ Table to filter trades per day

@ 4 hTradeSearcher backtest

1.27

Profit Factor

14.10 %

Total ROI

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Active Trades

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BINANCEUS:USDTUSD

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BINANCE:SOLUSDT

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USDC / U.S. Dollar (USDCUSD)

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Table to filter trades per day backtest statistics

Aggregated across every validated backtest TradeSearcher has run on this strategy. Figures update automatically as new backtests are added — they are not edited by hand. Classified as long-term by holding period.

Backtests run

1.4

Avg profit factor

+113%

Avg net profit

+26%

Avg annualized return

44%

Avg max drawdown

0.21

Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 162% over the same window.

Performance by asset class

Market	Backtests	Avg profit factor	Avg net profit	Avg max drawdown	Avg Sharpe
Crypto	46	1.3	+184%	—	0.17
Stocks	543	1.5	+109%	32%	0.16
Forex	66	1.2	+8%	13%	0.14

Backtests use the validated-universe filter: non-repainting scripts, over 15 trades, non-excluded. Per-market rows appear only when at least one backtest exists for that asset class.

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