Your Go-To TradingView Signals in 2025?

[James Henry]

It sounds like you're using a solid mix of trend-following and momentum indicators, but the market's behavior recently, with fake breakouts and bot-driven moves, can make even the most reliable signals appear distorted. It’s important to adapt and incorporate more robust strategies to filter out noise, especially in volatile markets.

Key Issues with Traditional Signals:​

1. Fake Breakouts: This is a classic issue in low liquidity environments or markets heavily influenced by bots. Traditional signals like EMA crossovers can sometimes fail to work when the market is experiencing a lot of volatility or manipulation.
2. Volume Divergence: While useful for spotting potential reversals or continuations, volume divergence can sometimes be unreliable in markets with a lot of algorithmic trading or during periods of low-volume price manipulation.
3. Candlestick Behavior: It sounds like you're encountering false price action signals, which are quite common in choppy markets where price action is erratic and driven by unpredictable forces like bot trading or news events.

What’s Working Now:​

Given the current environment, you might want to experiment with a few alternative strategies or filters to make your signals more robust:

1. Multi-Timeframe Analysis (MTFA):
   
   • Instead of relying solely on a single timeframe for signals, consider checking higher timeframes (like 4H or Daily) to establish the broader market trend. A lot of false signals in lower timeframes (like 15M or 1H) can be avoided by confirming the trend on a higher timeframe.
   • For example, EMA crossovers on the 50/200 for trend direction on the Daily chart, and use a shorter period (like 9/21) on the 1H chart for precise entry points.
2. ADX (Average Directional Index):
   
   • The ADX indicator can help you filter out choppy conditions by showing whether the market is in a strong trend or simply moving sideways. A rising ADX indicates a strong trend, while a low ADX indicates market consolidation or low volatility.
   • Combine this with your existing signals: wait for the EMA crossover to align with a high ADX value (above 25) to confirm the strength of the trend.
3. Volume Profile:
   
   • Volume Profile is a great way to analyze market activity at specific price levels. It helps you spot significant support and resistance zones, offering a more refined approach than just volume divergence. If your candlestick patterns are signaling a breakout but the volume profile doesn’t support it, you might avoid false signals.
4. Order Book Analysis (for scalping):
   
   • If you're more into scalping, look at Order Book Analysis (if available on your exchange or through TradingView plugins). Understanding where the liquidity pools are (such as large buy/sell walls) can give you an edge in knowing when a breakout is more likely to succeed or fail.
5. RSI with Stochastic Oscillator:
   
   • The RSI combined with a Stochastic Oscillator can help you pinpoint overbought or oversold conditions, but the stochastic oscillator gives more emphasis on momentum shifts. A RSI reading above 70/30, paired with stochastic crossovers, can provide more reliable overbought/oversold signals.

Filtering the Noise:​

• Bollinger Bands: This tool can help you measure volatility and detect periods of consolidation and expansion. Combine Bollinger Band squeezes with your current indicators to filter out choppy conditions.
• Price Action + Support/Resistance Levels: The classic approach of using price action at key support or resistance levels (combined with your indicators) can help validate signals. If an EMA crossover happens near a support or resistance zone, it’s often a more reliable signal.

Conclusion:​

While your existing setup is solid, markets have evolved, and the increased activity from bots and fake breakouts require more sophisticated filters to confirm signals. Combining multi-timeframe analysis, ADX, Volume Profile, and order book analysis can significantly improve your chances of successful trades. The goal is to filter out the noise and focus on clear, higher-probability setups while keeping your risk management tight.

 

[peterjohn]

The combination of EMA crossovers, RSI, and MACD histograms has been a staple for many traders, but as you've noted, the market conditions can sometimes make these signals unreliable, especially with the increasing influence of algorithmic trading and bots. These automated systems can easily exploit traditional patterns like fake breakouts, and their presence may distort price movements, making certain technical indicators less effective.


When it comes to adapting to these new market dynamics, there may be value in looking at alternative signals or strategies. For instance, incorporating volume profile analysis, which tracks the price levels where most trading activity occurs, can provide insights into potential support and resistance levels. Another approach could be to combine multiple time frame analysis for better confirmation of trends.


Given the volatile nature of markets and the growing dominance of algorithmic trading, having a more diversified approach to trading signals — using a mix of short-term scalping tools alongside longer-term trend-following strategies — could potentially offer more consistent results. Additionally, focusing on risk management and adapting strategies to cope with these high-frequency trading conditions is essential for navigating the current market environment.

 

[Aesthatic girl]

I’ve been running similar setups but have started incorporating more advanced tools like the VWAP (Volume Weighted Average Price) with multiple timeframes and the Fibonacci retracement levels to catch high-probability entries. The EMA crossovers and MACD still give a solid foundation for trend confirmation, but I’ve found that pairing them with Bollinger Bands and price action analysis has helped filter out the noise from fakeouts. For scalping, I use 1-5 minute timeframes with RSI and stochastic to catch quick reversals. Long-term, I rely on macro setups using weekly charts and support/resistance zones. Let’s share what’s working best!

 

[Snowy]

If you're finding traditional signals unreliable, it may be time to refine your approach. I’ve had better success by integrating the VWAP (Volume Weighted Average Price) with EMAs to gauge trend strength more accurately, especially in unpredictable markets. The addition of the ADX (Average Directional Index) can filter out weak trends, ensuring you’re only trading when momentum is strong. For scalping, combining RSI with a Stochastic Oscillator in shorter timeframes (1–5 min) helps identify precise entry points. On the longer-term side, rely on solid support/resistance levels, Fibonacci retracements, and price action to avoid getting caught in fakeouts.

 

[SUNSHINE]

If you're noticing fake breakouts and erratic behavior, it's time to adapt your approach. I recommend incorporating the VWAP (Volume Weighted Average Price) alongside EMAs for trend confirmation, as it provides a more nuanced understanding of price action, especially in volatile conditions. Additionally, using the ADX (Average Directional Index) can help filter out false signals by determining whether the trend is strong enough to trade. For scalping, combining RSI and Stochastic with tighter timeframes (1–5 min) can pinpoint short-term reversals. Long-term, macro setups like support/resistance levels and Fibonacci retracement work well for filtering noise. Let’s share what’s truly working!

 

[Lotus]

Let’s get a serious signal thread going.

I’ve been using a combo of:

• EMA 50/200 crossovers
• RSI + volume divergence
• MACD histogram flip

But lately, signals feel off. Fake breakouts, bots baiting levels, weird candle behavior.

What’s working for you now on TradingView? Prefer scalping tools, or long-term macro setups?

Drop your chart recipes. Let’s level each other up.

Signals are ghosting harder than exes — these days it’s less TA, more psychic detective work with candle séance.

 

[SUNSHINE]

Lately, I’ve been leaning more on the 15/30-minute chart with a mix of VWAP and fib retracements for precision on entries. I also like using the Stochastic RSI for overbought/oversold conditions, especially with a 5-period setting for quick moves. For volume analysis, I’ve been focusing on VWAP bands for determining strong support/resistance zones, along with a bit of price action to confirm. Fake outs are less frequent when I combine these with tight stop losses.


I’m more into scalping right now, looking for those quick shifts. If a trend is too choppy, I stay away. The macro setups are nice for swings but seem to be more of a gamble lately.

Love the precision here—VWAP + fibs on 15/30-min charts is such a solid combo for scalping. Totally with you on skipping choppy trends; clean momentum is where the real edge lies.