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Madri

Script from: TradingViewLongTermTrend followingMomentumVolatilityCandlestick

This strategy uses Bollinger Bands, RSI, and a moving average to optimize BTC/USDT trading on a 1-hour timeframe. Adjust "A," "B," "RSIoverSold," and "RSIoverBought" values for better returns. Recommended RSI range is 29 to 49. Experiment with the price source: "close," "high," "open," or "low." For the current setup, go short below a 900 EMA and long above it. Customize for different symbols.

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ Daily

3.46

Risk Reward

172.15 %

Total ROI

39

Total Trades

Fastenal Company (FAST)

+ Madri

@ 4 h

2.39

Risk Reward

495.22 %

Total ROI

38

Total Trades

Uber Technologies, Inc. (UBER)

+ Madri

@ 2 h

2.31

Risk Reward

602.31 %

Total ROI

17

Total Trades

Spotify Technology S.A. (SPOT)

+ Madri

@ 5 min

2.24

Risk Reward

143.32 %

Total ROI

69

Total Trades

Accenture plc (ACN)

+ Madri

@ 2 h

2.11

Risk Reward

642.66 %

Total ROI

64

Total Trades

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

+ Madri

@ 2 h

1.99

Risk Reward

540.71 %

Total ROI

24

Total Trades

ONDO / TetherUS (ONDOUSDT)

+ Madri

@ 1 h

1.55

Risk Reward

125.73 %

Total ROI

39

Total Trades

CAKE / TetherUS (CAKEUSDT)

+ Madri

@ 4 h

1.51

Risk Reward

153.26 %

Total ROI

31

Total Trades

Snowflake Inc. (SNOW)

+ Madri

@ 1 h

1.48

Risk Reward

203.76 %

Total ROI

30

Total Trades

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

+ Madri

@ 15 min

1.40

Risk Reward

181.71 %

Total ROI

50

Total Trades

WIF / TetherUS (WIFUSDT)

+ Madri

@ 2 h

1.33

Risk Reward

283.99 %

Total ROI

18

Total Trades

Chevron Corporation (CVX)

+ Madri

@ 15 min

1.32

Risk Reward

41.80 %

Total ROI

65

Total Trades
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Active Trades

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Madri 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.

24
Backtests run
1.5
Avg profit factor
+163%
Avg net profit
+33%
Avg annualized return
61%
Avg max drawdown
0.14
Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 93% over the same window.

Performance by asset class

MarketBacktestsAvg profit factorAvg net profitAvg max drawdownAvg Sharpe
Crypto461.3+109%46%0.20
Stocks6851.5+182%50%0.13
Forex673.5+172%37%0.02

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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