Free AI-Powered MICRO E-MINI S&P 500 INDEX (MES) Trading Signals | MICRO E-MINI S&P 500 INDEX (MES) Price Forecast

Overall Signal / Accuracy
Sell / 65.04%
Best Signal / Accuracy
Neutral / 78.79%
Stop loss for buy position
6,554.000
Stop loss for sell position
6,629.250
Last Update
18 Sep
Exchange
CME
Currency
USD
Country
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AI-Powered MICRO E-MINI S&P 500 INDEX (MES) Signals and Analysis for Sep 18th

Our top-performing AI model, optimized for the highest accuracy in MICRO E-MINI S&P 500 INDEX (MES) analysis, has consistently achieved an accuracy rate of over 65.04%. However, it did not generate any trading signals for Sep 18.
Predictions from multiple AI models, each with an accuracy rate of at least 70%, suggest a sell signal for MICRO E-MINI S&P 500 INDEX (MES) on Sep 18. It is essential to approach investment decisions with caution and thorough analysis.
On Sep 18, our AI models estimated a price range for MICRO E-MINI S&P 500 INDEX (MES), with a minimum estimate of 3549.198 and a maximum estimate of 6629.25.


Disclaimer: Please exercise caution and conduct thorough research before making any financial decisions. Our signals are based solely on daily price changes and do not consider external factors such as news, market sentiment, or company developments. We advise evaluating all relevant factors and performing your own research.

Useful Tips: To enhance your investment decisions for MICRO E-MINI S&P 500 INDEX (MES), we recommend visiting the "MagicalAnalysis" technical analysis website. They offer free signals, and if their signals align with ours, it can be an additional validation of reliability based on historical performance.


Based on the above signals and forecasts, we suggest the following strategies:

MICRO E-MINI S&P 500 INDEX (MES) trading strategy for those holding long positions:
If you are currently holding a long position, consider the optimal time to exit based on the AI models' consensus. If you have a high risk tolerance, you may choose to wait and observe market movements in the coming days.

MICRO E-MINI S&P 500 INDEX (MES) trading strategy for those holding short positions:
If you are in a short position, maintaining your position might be appropriate according to our AI models. However, always stay vigilant and monitor market trends closely.

For new positions:
If you are not currently invested or are considering a short position, evaluate the potential downside, which is approximately 85.99% based on the lowest expected price. Exercise caution and ensure this strategy aligns with your risk tolerance and investment goals.

In all trading activities, implementing a well-defined stop-loss strategy is crucial to manage potential risks effectively.

Useful Tips 2: For those interested in long-term forecasts, we recommend using the "predict-price" website, which provides both short-term and long-term predictions for free. This can aid in making well-informed decisions for your MICRO E-MINI S&P 500 INDEX (MES) investments.

Probabilities of MICRO E-MINI S&P 500 INDEX (MES) Buy/Sell Signals Using Several AI Models Over 10 Days (Sep 18)

Probabilities of MICRO E-MINI S&P 500 INDEX (MES) Buy/Sell Signals Using Several AI Models Over 5 Days (18 Sep)

MICRO E-MINI S&P 500 INDEX (MES) AI's overall Signal Chart (18 Sep)

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MICRO E-MINI S&P 500 INDEX (MES) AI best signal chart (18 Sep)

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High and low price prediction by AI for MICRO E-MINI S&P 500 INDEX (MES) (18 Sep)

High and low price prediction by AI for MICRO E-MINI S&P 500 INDEX (MES) (18 Sep)

MICRO E-MINI S&P 500 INDEX (MES) profit and loss prediction for 18 Sep

Sell
30.61%

The best strategies for trading MICRO E-MINI S&P 500 INDEX (MES) (signals with more than 70% accuracy)

MICRO E-MINI S&P 500 INDEX (MES) signals list for 18 Sep

# AI Model Last signal Accuracy
1 Model1 Sell 41.43%
2 Model2 Sell 61.43%
3 Model3 Neutral 57.14%
4 Model4 Sell 62.12%
5 Model5 Sell 45.71%
6 Model6 Sell 61.43%
7 Model7 Sell 52.17%
8 Model8 Sell 42.86%
9 Model9 Sell 41.43%
10 Model10 Sell 64.29%
11 Model11 Sell 51.43%
12 Model12 Sell 45.71%
13 Model13 Sell 40%
14 Model14 Sell 48.57%
15 Model15 Buy 61.43%
16 Model16 Sell 50.91%
17 Model17 Sell 50%
18 Model18 Buy 54.29%
19 Model19 Buy 55.71%
20 Model20 Buy 59.32%
21 Model21 Buy 58.57%
22 Model22 Buy 38.57%
23 Model23 Neutral 42.86%
24 Model24 Buy 37.88%
25 Model25 Buy 54.29%
26 Model26 Buy 38.57%
27 Model27 Buy 47.83%
28 Model28 Buy 57.14%
29 Model29 Buy 58.57%
30 Model30 Buy 35.71%
31 Model31 Buy 48.57%
32 Model32 Buy 54.29%
33 Model33 Buy 60%
34 Model34 Buy 51.43%
35 Model35 Sell 38.57%
36 Model36 Buy 49.09%
37 Model37 Buy 50%
38 Model38 Sell 45.71%
39 Model39 Sell 44.29%
40 Model40 Sell 40.68%
41 Model41 Sell 62.5%
42 Model42 Neutral 65.57%
43 Model43 Neutral 63.49%
44 Model44 Neutral 68.18%
45 Model45 Neutral 78.79%
46 Model46 Neutral 65.71%
47 Model47 Neutral 57.14%
48 Model48 Neutral 65.57%
49 Model49 Neutral 53.97%
50 Model50 Neutral 57.14%
51 Model51 Buy 37.5%
52 Model52 Neutral 34.43%
53 Model53 Neutral 36.51%
54 Model54 Neutral 31.82%
55 Model55 Neutral 21.21%
56 Model56 Neutral 34.29%
57 Model57 Neutral 42.86%
58 Model58 Neutral 34.43%
59 Model59 Neutral 46.03%
60 Model60 Neutral 42.86%
# Overall Sell --
# Best Neutral 78.79%

MICRO E-MINI S&P 500 INDEX (MES) predictions list over the past days

# Overal Signal Best Signal Signals of artificial intelligence models Stop Loss
1 17 Sep Sell Neutral M2 M4 M6 M10 M15 M41 M42 M43 M44 M45 M46 M48 6629.250000
2 16 Sep Neutral Sell M2 M4 M6 M10 M15 M41 M42 M43 M44 M45 M46 M48 -----
3 15 Sep Buy Neutral M2 M4 M6 M10 M15 M41 M42 M43 M44 M45 M46 M48 6585.250000
4 12 Sep Buy Neutral M2 M4 M6 M10 M15 M41 M42 M43 M44 M45 M46 M48 6576.000000
5 11 Sep Buy Neutral M2 M4 M6 M10 M15 M41 M42 M43 M44 M45 M46 M48 6535.250000
6 10 Sep Buy Neutral M2 M4 M6 M10 M15 M41 M42 M43 M44 M45 M46 M48 6522.500000
7 09 Sep Sell Neutral M2 M4 M6 M10 M15 M41 M42 M43 M44 M45 M46 M48 6536.250000
8 08 Sep Buy Buy M2 M4 M6 M10 M15 M41 M42 M43 M44 M45 M46 M48 6480.000000
9 05 Sep Sell Sell M2 M4 M6 M10 M15 M41 M42 M43 M44 M45 M46 M48 6541.750000
10 04 Sep Sell Sell M2 M4 M6 M10 M15 M41 M42 M43 M44 M45 M46 M48 6516.750000

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