The Best TradingView Indicators and Strategy Types in 2025 (And How to Build Them with AI)

Why simple strategies outperform complex ones

There's a cottage industry of TradingView scripts with 40 inputs, 6 indicator combinations, and a machine-learning filter on top. They look impressive. They almost never outperform a clean EMA crossover with proper risk management out of sample.

Complexity creates more parameters to overfit. Simplicity creates robustness. The strategies below are simple enough to understand completely, flexible enough to adapt to different markets, and structured in a way that AI can generate and optimize them reliably.

1. EMA Crossover with RSI Filter

The most tested strategy type in retail trading. Fast EMA crosses above slow EMA for long entry, below for short. RSI filter prevents entries in overbought/oversold conditions, reducing false signals in ranging markets.

Works best on trending assets (BTC, major indices, trending stocks) on 1h-4h timeframes. Degrades in sideways markets — use a trend filter like ADX > 20 to disable trading in low-trend environments.

// TradePilot prompt to generate this:
// "EMA crossover strategy, 9 and 21 EMA, RSI filter above 30 for longs
//  below 70 for shorts, 2% stop loss, 4% take profit, 10% position size"

2. VWAP Reversion for Intraday

VWAP (Volume Weighted Average Price) acts as a magnet for price on intraday charts. Strategies that buy pullbacks to VWAP in uptrends and short bounces to VWAP in downtrends tend to have high win rates with controlled risk.

Works best on stocks and futures on 5m-15m timeframes during the first 2 hours of the session. Pine Script v6 provides ta.vwap as a built-in — no custom calculation needed.

3. Bollinger Band Squeeze

Bollinger Bands contract during low-volatility periods and expand during breakouts. The 'squeeze' — when bands are at their narrowest over a lookback period — often precedes large directional moves. Enter on the breakout of the squeeze in the direction of the move.

Best on crypto (BTC, ETH) on 4h-daily timeframes where volatility cycles are more pronounced. Combine with volume confirmation to filter false breakouts.

• Detect squeeze: BB width at N-bar low
• Direction: close above upper band (long) or below lower band (short)
• Volume confirmation: current volume > average volume
• Stop loss: opposite band at entry
• Take profit: 2-3x the band width at entry

4. Multi-Timeframe RSI Divergence

RSI divergence — price making new highs while RSI makes lower highs — is one of the oldest reversal signals in technical analysis. Adding a higher-timeframe confirmation (e.g., daily RSI in overbought territory while you trade a 1h chart) significantly improves the signal quality.

Pine Script v6's request.security() function enables multi-timeframe analysis. This is one area where TradePilot's AI really shines — multi-timeframe logic in Pine Script is tricky to write manually but straightforward to generate from a plain-English description.

// TradePilot prompt to generate this:
// "RSI divergence strategy, 14-period RSI, enter short when price makes
//  higher high but RSI makes lower high on 1h chart, only when daily RSI
//  is above 65, stop loss above the swing high, take profit at 2:1 RR"

5. Supertrend with ATR-based stops

Supertrend is a trend-following indicator based on ATR that flips direction when price crosses its value. It's clean, has only two parameters (ATR period and multiplier), and produces clear long/short signals. ATR-based stops adapt to current volatility — tight stops in quiet markets, wider stops when volatility spikes.

This is the strategy type TradePilot's optimizer was designed for. Two parameters, clear rules, easily testable across a wide range of ATR values and multipliers to find the most robust configuration for your market.

Building any of these in TradePilot

Every strategy type above can be generated from a single sentence in TradePilot's chat. Describe the entry logic, the filter, the stop loss, and the position size. TradePilot generates the full Pine Script v6 code, injects it into TradingView, and you run the backtest immediately.

If the first generation isn't exactly right, use the inline editor to refine: "change the RSI threshold from 70 to 65", "add a volume filter", "make it long-only". Each edit shows a diff before applying. From idea to live chart in under 2 minutes.