ANN TREND SPX500 1m-1H

Internally is a collection of nine artificial neural networks (ANNs) trained on the S&P 500 to forecast uptrends, downtrends, or ranging markets. Each ANN is trained on one of the following timeframes: 1m, 2m, 3m, 5m, 10m, 15m, 30m, 45m, and 60m, and the appropriate model is selected automatically.
1. Settings
In the settings menu shown in the image below, you’ll find six options:
- Indicator Timeframe – Choose between 1m and 1H.
- Intrabar – Choose between Alerts been send intrabar or only at bar closing.
- Lookback – Define how many previous bars the ANN should use in its calculations.
- Smoothing – To reduce short-term switching of the prediction you can activate Smoothing. Here-by the input datas get filtered by a mean function.
- Range Filter – Enable a third class, Ranging, in addition to Uptrend and Downtrend. This enables you to avoid choppy markets.
- Class Colors – Here you can change each Class (Up, Down Trend etc) color.
2. Comparison with EMA crossover
The Prediction of the ANN Trend SPX500 1m-1H is more reliable as the prediction of the EMA crossover, shown in the Image below.
Both indicators use the same period of 65 bars and source their input data from the same chart.
While the EMA crosses over multiple times (shown as red vertical lines in the image), the ANN Trend maintains its prediction signal as Uptrend.
This advantage of the ANN comes from its learned knowledge. During training, it was exposed to a vast number of price charts, enabling it to distinguish between a trend setback and a true trend reversal.
3. Alerts
The indicator generates two types of alert signals:
Trade Signal:
- 1 = Uptrend
- 0 = Ranging
- -1 = Downtrend
- -2 = no prediction
4. Declaration for TradingView House Rules on Script Publishing
The unique feature of ANN Trend SPX500 1m-1H is it's real-time range detection capability and it's capability to distinguishes between a Trend set back and a Trend reversal which results in longer lasting trend predictions in comparison to any Moving Average Crossover Indicators.
This script is closed-source and invite-only, to support and compensate for months of development work.
5. Disclaimer
Trading involves risk, and losses can and do occur. This script is intended for informational and educational purposes only. All examples are hypothetical and not financial advice.
Decisions to buy, sell, hold, or trade securities, commodities, or other assets should be based on the advice of qualified financial professionals. Past performance does not guarantee future results.
Use this script at your own risk. It may contain bugs, and I cannot be held responsible for any financial losses resulting from its use.
Cheers!
In the following image, the EMA is shown with a similar prediction signal during the uptrend phase.
To achieve this, the EMA period had to be increased to 280. However, in other parts of the chart, the EMA still indicates false trend reversals, which can lead to incorrect trades — whereas the ANN keeps its prediction stable throughout all trends.
This example clearly demonstrates the advantages of ANN-based indicators over traditional EMA crossover indicators.
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Arahan penulis
Penafian
Skrip jemputan sahaja
Hanya pengguna yang diluluskan oleh penulis boleh mengakses skrip ini. Anda perlu memohon dan mendapatkan kebenaran untuk menggunakannya. Ini selalunya diberikan selepas pembayaran. Untuk lebih butiran, ikuti arahan penulis di bawah atau hubungi terus BerlinCode42.
TradingView tidak menyarankan pembayaran untuk atau menggunakan skrip kecuali anda benar-benar mempercayai penulisnya dan memahami bagaimana ia berfungsi. Anda juga boleh mendapatkan alternatif sumber terbuka lain yang percuma dalam skrip komuniti kami.