Technical Analysis for SPOT - Goldspot Discoveries Corp
Grade | Last Price | % Change | Price Change |
---|---|---|---|
F | 0.190 | 2.70% | 0.005 |
SPOT closed up 2.7 percent on Friday, November 1, 2024, on 1.32 times normal volume. Note that the stock is in oversold territory based on its Slow Stochastic indicator (14, 3, 3) -- so don't be surprised if it goes sideways or bounces.
Earnings due: Nov 26
*** please verify all earnings dates ***ADX | Long Term | Intermediate Term | Short Term |
---|---|---|---|
Weak or Absent | Down | Down | Down |
Date | Alert Name | Type | % Chg |
---|---|---|---|
Pocket Pivot | Bullish Swing Setup | 0.00% | |
Narrow Range Bar | Range Contraction | 0.00% | |
Gapped Up | Strength | 0.00% | |
Oversold Stochastic | Weakness | 0.00% | |
Reversal New Lows Setup | Bearish Swing Setup | 2.70% | |
Narrow Range Bar | Range Contraction | 2.70% | |
Stochastic Reached Oversold | Weakness | 2.70% | |
Down 3 Days in a Row | Weakness | 2.70% | |
Down 4 Days in a Row | Weakness | 2.70% | |
Oversold Stochastic | Weakness | 2.70% |
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- Earnings date: 2024-11-26
GoldSpot is a technology company that leverages machine learning to reduce capital risk, while working to increase efficiencies and success rates in resource exploration and investment. GoldSpot combines proprietary technology with traditional domain expertise, offering a front-to-back service solution to its partners. GoldSpot's solutions target big data problems, making full use of historically unutilized data to better comprehend resource property potential. GoldSpot has developed a monetization strategy into multiple verticals of the mining and investment industry, including service offerings, staking and royalty acquisition, and the development of its own artificial-intelligence driven trading platform.
Keywords: Mining Gold Computing Tradition Big Data Data Management Learning Machine Learning Information Science Technology Forecasting Transaction Processing
Classification
Keywords: Mining Gold Computing Tradition Big Data Data Management Learning Machine Learning Information Science Technology Forecasting Transaction Processing
Indicator | Bull Case | Neutral / Hold | Bear Case |
---|---|---|---|
50 DMA | |||
200 DMA | |||
ADX Trend | |||
Oversold / Overbought | |||
Relative Strength |
Indicator | Value |
---|---|
52 Week High | 0.275 |
52 Week Low | 0.14 |
Average Volume | 52,332 |
200-Day Moving Average | 0.202 |
50-Day Moving Average | 0.211 |
20-Day Moving Average | 0.204 |
10-Day Moving Average | 0.201 |
Average True Range | 0.010 |
RSI (14) | 42.53 |
ADX | 13.13 |
+DI | 23.841 |
-DI | 37.681 |
Chandelier Exit (Long, 3 ATRs) | 0.200 |
Chandelier Exit (Short, 3 ATRs) | 0.215 |
Upper Bollinger Bands | 0.226 |
Lower Bollinger Band | 0.181 |
Percent B (%b) | 0.2 |
BandWidth | 22.004 |
MACD Line | -0.006 |
MACD Signal Line | -0.004 |
MACD Histogram | -0.0019 |
Pivot Point Level | Traditional / Classic | Fibonacci | Demark | Woodie | Camarilla |
---|---|---|---|---|---|
Resistance 4 (R4) | 0.190 | ||||
Resistance 3 (R3) | 0.190 | 0.190 | 0.190 | ||
Resistance 2 (R2) | 0.190 | 0.190 | 0.190 | 0.190 | |
Resistance 1 (R1) | 0.190 | 0.190 | 0.190 | 0.190 | 0.190 |
Pivot Point | 0.190 | 0.190 | 0.190 | 0.190 | 0.190 |
Support 1 (S1) | 0.190 | 0.190 | 0.190 | 0.190 | 0.190 |
Support 2 (S2) | 0.190 | 0.190 | 0.190 | 0.190 | |
Support 3 (S3) | 0.190 | 0.190 | 0.190 | ||
Support 4 (S4) | 0.190 |