Fourier transform of hyperbolic secant
functional analysis
2016.09.26 17:00 functional analysis
2024.05.16 03:54 OsirisAI Stock Information for #6758.JP - 1d
#6758.JP #1d #Stock───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals -17 (out of +/-100). The model ensemble suggests the market will tend to be bearish in the nearest future.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 522 candles. The market is currently bearish, depreciating by 3.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes down.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 55.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 1.1142% in the next candle, the price will fluctuate around 11940.04 and with 95.0% probability will not go below 11721.21 or above 12158.88.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 11940.0 and with 95.0% probability will not go below 11671.69 or above 12264.48.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 11940.0 and with 95.0% probability will not go below 11677.36 or above 12267.77.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 11811.17 and with 95.0% probability will not go below 7593.9 or above 16757.53.
- Fibonacci with seven retracements: the price is likely to rebound upward from the nearest Fibonacci support of 11697.83 at the level of 38.2%. The nearest Fibonacci resistance is 12466.0 at the level of 50.0%.
- Fibonacci with five retracements: the price is likely to rebound upward from the nearest Fibonacci support of 11697.83 at the level of 38.2%. The nearest Fibonacci resistance is 12466.0 at the level of 50.0%.
- Fibonacci with four retracements: the price is likely to rebound upward from the nearest Fibonacci support of 11697.83 at the level of 38.2%. The nearest Fibonacci resistance is 13234.17 at the level of 61.8%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 11930.87 and with 95.0% probability will not go below 11643.72 or above 12267.66.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of -0.0162% in the next candle, the price will fluctuate around 11940.0 and with 95.0% probability will not go below 11462.4 or above 12417.6.
- AR model at confidence level 95.0%: the AR model forecasts a return of -0.0162% in the next candle, the price will fluctuate around 11940.0 and with 95.0% probability will not go below 11581.8 or above 12298.2.
Stability Indicators *
Generalised extreme value: According to the indicator, the market is stable
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the stability of the market is uncertain
- Tukey lambda: According to the indicator, the stability of the market is uncertain
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#6758.JP #1d #trading #Distribution analysis
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2024.05.16 03:53 OsirisAI Stock Information for #8058.JP - 1d
#8058.JP #1d #Stock───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals 4 (out of +/-100). The model ensemble is uncertain with regards to future market movements.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 566 candles. The market is currently bullish, appreciating by 167.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes up.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 55.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 1.0444% in the next candle, the price will fluctuate around 3398.97 and with 95.0% probability will not go below 3340.75 or above 3457.19.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 3397.17 and with 95.0% probability will not go below 3312.21 or above 3495.34.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 3397.46 and with 95.0% probability will not go below 3313.22 or above 3495.66.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 3548.66 and with 95.0% probability will not go below 1450.97 or above 6590.63.
- Fibonacci with seven retracements: the price is likely to rebound upward from the nearest Fibonacci support of 3137.67 at the level of 76.4%. The nearest Fibonacci resistance is 3759.0 at the level of 100.0%.
- Fibonacci with five retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 3759.0 at the level of 100.0%. The nearest Fibonacci support is 2753.67 at the level of 61.8%.
- Fibonacci with four retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 3759.0 at the level of 100.0%. The nearest Fibonacci support is 2753.67 at the level of 61.8%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 3392.53 and with 95.0% probability will not go below 3315.11 or above 3504.79.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of 0.2812% in the next candle, the price will fluctuate around 3389.0 and with 95.0% probability will not go below 3253.44 or above 3524.56.
- AR model at confidence level 95.0%: the AR model forecasts a return of 0.2812% in the next candle, the price will fluctuate around 3389.0 and with 95.0% probability will not go below 3287.33 or above 3490.67.
Stability Indicators *
Generalised extreme value: According to the indicator, the market is stable
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the market is stable
- Tukey lambda: According to the indicator, the stability of the market is uncertain
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#8058.JP #1d #trading #Distribution analysis
submitted by
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OsirisFinance [link] [comments]
2024.05.16 02:56 OsirisAI Stock Information for GOLD - 1d
#GOLD #1d #Commodities───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals 47 (out of +/-100). The model ensemble predicts the market is more likely to be bullish in the nearest future.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 279 candles. The market is currently bullish, appreciating by 17.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes up.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 55.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 0.8989% in the next candle, the price will fluctuate around 2354.65 and with 95.0% probability will not go below 2319.86 or above 2389.44.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 2354.08 and with 95.0% probability will not go below 2326.41 or above 2385.26.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 2353.61 and with 95.0% probability will not go below 2326.51 or above 2384.71.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 2375.46 and with 95.0% probability will not go below 1633.42 or above 3228.06.
- Fibonacci with seven retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 2431.38 at the level of 100.0%. The nearest Fibonacci support is 2238.6 at the level of 76.4%.
- Fibonacci with five retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 2431.38 at the level of 100.0%. The nearest Fibonacci support is 2119.46 at the level of 61.8%.
- Fibonacci with four retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 2431.38 at the level of 100.0%. The nearest Fibonacci support is 2119.46 at the level of 61.8%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 2353.9 and with 95.0% probability will not go below 2326.85 or above 2384.98.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of 0.3204% in the next candle, the price will fluctuate around 2360.53 and with 95.0% probability will not go below 2318.93 or above 2402.15.
- AR model at confidence level 95.0%: the AR model forecasts a return of 0.3204% in the next candle, the price will fluctuate around 2360.53 and with 95.0% probability will not go below 2331.12 or above 2389.96.
Stability Indicators *
Generalised extreme value: According to the indicator, the market is stable
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the market is stable
- Tukey lambda: According to the indicator, the market is stable
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#GOLD #1d #trading #Distribution analysis
submitted by
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2024.05.16 02:54 OsirisAI Stock Information for WTI - 1d
#WTI #1d #Commodities───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals 33 (out of +/-100). The model ensemble predicts the market is more likely to be bullish in the nearest future.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 406 candles. The market is currently bearish, depreciating by 9.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes down.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 55.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 1.7277% in the next candle, the price will fluctuate around 78.12 and with 95.0% probability will not go below 75.9 or above 80.34.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 78.23 and with 95.0% probability will not go below 75.74 or above 80.05.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 78.24 and with 95.0% probability will not go below 75.78 or above 80.07.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 80.0 and with 95.0% probability will not go below 29.93 or above 121.04.
- Fibonacci with seven retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 80.08 at the level of 23.6%. The nearest Fibonacci support is 64.2 at the level of 0.0%.
- Fibonacci with five retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 89.89 at the level of 38.2%. The nearest Fibonacci support is 64.2 at the level of 0.0%.
- Fibonacci with four retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 89.89 at the level of 38.2%. The nearest Fibonacci support is 64.2 at the level of 0.0%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 78.21 and with 95.0% probability will not go below 75.72 or above 80.24.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of 0.3437% in the next candle, the price will fluctuate around 78.36 and with 95.0% probability will not go below 75.19 or above 81.53.
- AR model at confidence level 95.0%: the AR model forecasts a return of 0.3437% in the next candle, the price will fluctuate around 78.36 and with 95.0% probability will not go below 76.12 or above 80.6.
Stability Indicators *
Generalised extreme value: According to the indicator, the stability of the market is uncertain
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the market is stable
- Tukey lambda: According to the indicator, the market is stable
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#WTI #1d #trading #Distribution analysis
submitted by
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OsirisFinance [link] [comments]
2024.05.16 01:58 OsirisAI Stock Information for GBPUSD - 1d
#GBPUSD #1d #Forex───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals 23 (out of +/-100). The model ensemble suggests the market will tend to be bullish in the nearest future.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 299 candles. The market is currently bullish, appreciating by 3.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes up.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 34.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 0.421% in the next candle, the price will fluctuate around 1.26 and with 95.0% probability will not go below 1.25 or above 1.27.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 1.26 and with 95.0% probability will not go below 1.25 or above 1.27.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 1.26 and with 95.0% probability will not go below 1.25 or above 1.27.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 1.26 and with 95.0% probability will not go below 1.08 or above 1.45.
- Fibonacci with seven retracements: the price is likely to rebound upward from the nearest Fibonacci support of 1.24 at the level of 61.8%. The nearest Fibonacci resistance is 1.29 at the level of 76.4%.
- Fibonacci with five retracements: the price is likely to rebound upward from the nearest Fibonacci support of 1.24 at the level of 61.8%. The nearest Fibonacci resistance is 1.36 at the level of 100.0%.
- Fibonacci with four retracements: the price is likely to rebound upward from the nearest Fibonacci support of 1.24 at the level of 61.8%. The nearest Fibonacci resistance is 1.36 at the level of 100.0%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 1.26 and with 95.0% probability will not go below 1.25 or above 1.27.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of 0.0091% in the next candle, the price will fluctuate around 1.26 and with 95.0% probability will not go below 1.25 or above 1.27.
- AR model at confidence level 95.0%: the AR model forecasts a return of 0.0091% in the next candle, the price will fluctuate around 1.26 and with 95.0% probability will not go below 1.25 or above 1.27.
Stability Indicators *
Generalised extreme value: According to the indicator, the market is stable
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the stability of the market is uncertain
- Tukey lambda: According to the indicator, the stability of the market is uncertain
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#GBPUSD #1d #trading #Distribution analysis
submitted by
OsirisAI to
OsirisFinance [link] [comments]
2024.05.16 01:56 OsirisAI Stock Information for LNKUSD - 1d
#LNKUSD #1d #Crypto───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals 3 (out of +/-100). The model ensemble is uncertain with regards to future market movements.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 538 candles. The market is currently bullish, appreciating by 95.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes up.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 55.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 3.6347% in the next candle, the price will fluctuate around 13.08 and with 95.0% probability will not go below 12.3 or above 13.86.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 13.08 and with 95.0% probability will not go below 12.26 or above 14.06.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 13.09 and with 95.0% probability will not go below 12.3 or above 14.06.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 14.36 and with 95.0% probability will not go below -8.14 or above 36.96.
- Fibonacci with seven retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 13.79 at the level of 50.0%. The nearest Fibonacci support is 11.69 at the level of 38.2%.
- Fibonacci with five retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 13.79 at the level of 50.0%. The nearest Fibonacci support is 11.69 at the level of 38.2%.
- Fibonacci with four retracements: the price is likely to rebound upward from the nearest Fibonacci support of 11.69 at the level of 38.2%. The nearest Fibonacci resistance is 15.89 at the level of 61.8%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 13.08 and with 95.0% probability will not go below 12.2 or above 13.96.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of 0.402% in the next candle, the price will fluctuate around 13.08 and with 95.0% probability will not go below 11.79 or above 14.37.
- AR model at confidence level 95.0%: the AR model forecasts a return of 0.402% in the next candle, the price will fluctuate around 13.08 and with 95.0% probability will not go below 12.17 or above 13.99.
Stability Indicators *
Generalised extreme value: According to the indicator, the market is stable
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the stability of the market is uncertain
- Tukey lambda: According to the indicator, the stability of the market is uncertain
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#LNKUSD #1d #trading #Distribution analysis
submitted by
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OsirisFinance [link] [comments]
2024.05.15 17:42 tugrul_ddr Unit trajectory prediction algorithm is too sharp. Players know this and they click too fast to random areas to force attackers mis-fire randomly.
I guess prediction algorithm for a unit takes only tha last or last few frames to guesstimate next target position to shoot to hit the moving unit. But some players aggressively change the target of move command to evade all shots. It's annoying to see 30 units miss 30 units for a whole 20 seconds.
There must be a way to "smooth" the targeting prediction. Maybe like extra frames for averaging or some kind of fourier-transform related noise-reduction should work. Because those players add a lot of noise to the position signal for the prediction. But this noise is nowhere near the amplitude of noise of toxic players, though.
My suggestion is to adjust the sharpness of noise-filtering with click-frequency of the defender units' player. The more click frequency, the lower certainty. Less clicks, less smoothing required.
The more clicks players do, the more events produced for game engine to be computed for all players. If this system does not require frequent-clicking by players to dodge projectiles, it will also require less computations due to the (click) event system.
---
Irrelevant feature question: transporters can't fully load with just single J (load) command with drag-click (area) on multiple tanks. 10 transporters only load 10 tanks at a time. Is there a command to fully fill all transporters with one click? (also same question for unloading). Load command also requires units to work at the time of clicking. Is it possible to do it before units exist? I may want to load them the moment they arrive at the spot?
submitted by
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beyondallreason [link] [comments]
2024.05.15 17:08 OsirisAI Stock Information for #ADBE - 1d
#ADBE #1d #Stock───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals 19 (out of +/-100). The model ensemble suggests the market will tend to be bullish in the nearest future.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 40 candles. The market is currently bearish, depreciating by 7.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes up.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 55.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 1.7917% in the next candle, the price will fluctuate around 476.63 and with 95.0% probability will not go below 462.61 or above 490.66.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 475.96 and with 95.0% probability will not go below 460.88 or above 490.64.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 476.11 and with 95.0% probability will not go below 463.36 or above 490.69.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 545.1 and with 95.0% probability will not go below -2.93 or above 820.23.
- Fibonacci with seven retracements: the price is likely to rebound upward from the nearest Fibonacci support of 456.33 at the level of 50.0%. The nearest Fibonacci resistance is 499.21 at the level of 61.8%.
- Fibonacci with five retracements: the price is likely to rebound upward from the nearest Fibonacci support of 456.33 at the level of 50.0%. The nearest Fibonacci resistance is 499.21 at the level of 61.8%.
- Fibonacci with four retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 499.21 at the level of 61.8%. The nearest Fibonacci support is 413.45 at the level of 38.2%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 478.42 and with 95.0% probability will not go below 458.98 or above 488.18.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of 0.1116% in the next candle, the price will fluctuate around 476.44 and with 95.0% probability will not go below 453.55 or above 499.38.
- AR model at confidence level 95.0%: the AR model forecasts a return of 0.1116% in the next candle, the price will fluctuate around 476.44 and with 95.0% probability will not go below 460.26 or above 492.67.
Stability Indicators *
Generalised extreme value: According to the indicator, the stability of the market is uncertain
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the stability of the market is uncertain
- Tukey lambda: According to the indicator, the stability of the market is uncertain
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#ADBE #1d #trading #Distribution analysis
submitted by
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2024.05.15 17:07 OsirisAI Stock Information for #UBER - 1d
#UBER #1d #Stock───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals 34 (out of +/-100). The model ensemble predicts the market is more likely to be bullish in the nearest future.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 372 candles. The market is currently bullish, appreciating by 126.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes down.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 55.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 1.9662% in the next candle, the price will fluctuate around 65.26 and with 95.0% probability will not go below 63.15 or above 67.36.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 65.15 and with 95.0% probability will not go below 63.03 or above 67.37.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 65.16 and with 95.0% probability will not go below 63.17 or above 67.37.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 63.39 and with 95.0% probability will not go below 23.28 or above 131.0.
- Fibonacci with seven retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 67.31 at the level of 76.4%. The nearest Fibonacci support is 58.26 at the level of 61.8%.
- Fibonacci with five retracements: the price is likely to rebound upward from the nearest Fibonacci support of 58.26 at the level of 61.8%. The nearest Fibonacci resistance is 81.95 at the level of 100.0%.
- Fibonacci with four retracements: the price is likely to rebound upward from the nearest Fibonacci support of 58.26 at the level of 61.8%. The nearest Fibonacci resistance is 81.95 at the level of 100.0%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 65.05 and with 95.0% probability will not go below 63.4 or above 67.82.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of 0.4143% in the next candle, the price will fluctuate around 65.38 and with 95.0% probability will not go below 61.97 or above 68.79.
- AR model at confidence level 95.0%: the AR model forecasts a return of 0.4143% in the next candle, the price will fluctuate around 65.38 and with 95.0% probability will not go below 62.97 or above 67.79.
Stability Indicators *
Generalised extreme value: According to the indicator, the market is stable
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the stability of the market is uncertain
- Tukey lambda: According to the indicator, the stability of the market is uncertain
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#UBER #1d #trading #Distribution analysis
submitted by
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OsirisFinance [link] [comments]
2024.05.15 17:07 OsirisAI Stock Information for #GOOG - 1d
#GOOG #1d #Stock───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals 10 (out of +/-100). The model ensemble suggests the market will tend to be bullish in the nearest future.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 316 candles. The market is currently bullish, appreciating by 79.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes down.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 34.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 1.3849% in the next candle, the price will fluctuate around 169.53 and with 95.0% probability will not go below 165.67 or above 173.38.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 169.5 and with 95.0% probability will not go below 165.11 or above 173.61.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 169.54 and with 95.0% probability will not go below 165.13 or above 173.63.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 169.94 and with 95.0% probability will not go below 93.64 or above 242.52.
- Fibonacci with seven retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 173.53 at the level of 100.0%. The nearest Fibonacci support is 152.26 at the level of 76.4%.
- Fibonacci with five retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 173.53 at the level of 100.0%. The nearest Fibonacci support is 139.11 at the level of 61.8%.
- Fibonacci with four retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 173.53 at the level of 100.0%. The nearest Fibonacci support is 139.11 at the level of 61.8%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 169.57 and with 95.0% probability will not go below 164.82 or above 174.09.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of 0.2007% in the next candle, the price will fluctuate around 169.54 and with 95.0% probability will not go below 162.31 or above 176.76.
- AR model at confidence level 95.0%: the AR model forecasts a return of 0.2007% in the next candle, the price will fluctuate around 169.54 and with 95.0% probability will not go below 164.43 or above 174.65.
Stability Indicators *
Generalised extreme value: According to the indicator, the market is stable
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the market is stable
- Tukey lambda: According to the indicator, the stability of the market is uncertain
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#GOOG #1d #trading #Distribution analysis
submitted by
OsirisAI to
OsirisFinance [link] [comments]
2024.05.15 17:06 OsirisAI Stock Information for #UNH - 1d
#UNH #1d #Stock───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals 15 (out of +/-100). The model ensemble suggests the market will tend to be bullish in the nearest future.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 10 candles. The market is currently bullish, appreciating by 6.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes down.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 55.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 1.0951% in the next candle, the price will fluctuate around 512.57 and with 95.0% probability will not go below 503.34 or above 521.8.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 513.07 and with 95.0% probability will not go below 503.3 or above 521.65.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 513.08 and with 95.0% probability will not go below 503.45 or above 521.76.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 519.38 and with 95.0% probability will not go below 283.82 or above 722.19.
- Fibonacci with seven retracements: the price is likely to rebound upward from the nearest Fibonacci support of 511.48 at the level of 61.8%. The nearest Fibonacci resistance is 529.22 at the level of 76.4%.
- Fibonacci with five retracements: the price is likely to rebound upward from the nearest Fibonacci support of 511.48 at the level of 61.8%. The nearest Fibonacci resistance is 557.92 at the level of 100.0%.
- Fibonacci with four retracements: the price is likely to rebound upward from the nearest Fibonacci support of 511.48 at the level of 61.8%. The nearest Fibonacci resistance is 557.92 at the level of 100.0%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 512.87 and with 95.0% probability will not go below 501.3 or above 522.82.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of 0.0387% in the next candle, the price will fluctuate around 512.64 and with 95.0% probability will not go below 495.94 or above 529.35.
- AR model at confidence level 95.0%: the AR model forecasts a return of 0.0387% in the next candle, the price will fluctuate around 512.64 and with 95.0% probability will not go below 500.81 or above 524.43.
Stability Indicators *
Generalised extreme value: According to the indicator, the stability of the market is uncertain
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the stability of the market is uncertain
- Tukey lambda: According to the indicator, the stability of the market is uncertain
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#UNH #1d #trading #Distribution analysis
submitted by
OsirisAI to
OsirisFinance [link] [comments]
2024.05.15 17:02 OsirisAI Stock Information for #JPM - 1d
#JPM #1d #Stock───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals 33 (out of +/-100). The model ensemble predicts the market is more likely to be bullish in the nearest future.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 257 candles. The market is currently bullish, appreciating by 46.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes down.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 34.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 0.9502% in the next candle, the price will fluctuate around 200.51 and with 95.0% probability will not go below 197.38 or above 203.64.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 200.6 and with 95.0% probability will not go below 197.54 or above 203.76.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 200.6 and with 95.0% probability will not go below 197.62 or above 203.77.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 221.16 and with 95.0% probability will not go below 96.87 or above 288.99.
- Fibonacci with seven retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 200.69 at the level of 100.0%. The nearest Fibonacci support is 177.31 at the level of 76.4%.
- Fibonacci with five retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 200.69 at the level of 100.0%. The nearest Fibonacci support is 162.86 at the level of 61.8%.
- Fibonacci with four retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 200.69 at the level of 100.0%. The nearest Fibonacci support is 162.86 at the level of 61.8%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 200.85 and with 95.0% probability will not go below 196.73 or above 203.1.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of 0.1515% in the next candle, the price will fluctuate around 200.5 and with 95.0% probability will not go below 195.54 or above 205.49.
- AR model at confidence level 95.0%: the AR model forecasts a return of 0.1515% in the next candle, the price will fluctuate around 200.5 and with 95.0% probability will not go below 196.98 or above 204.02.
Stability Indicators *
Generalised extreme value: According to the indicator, the market is stable
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the stability of the market is uncertain
- Tukey lambda: According to the indicator, the stability of the market is uncertain
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are seasonal effects on the market with cycle periodicity 41.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#JPM #1d #trading #Distribution analysis
submitted by
OsirisAI to
OsirisFinance [link] [comments]
2024.05.15 16:58 OsirisAI Stock Information for #AMZN - 1d
#AMZN #1d #Stock───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals 17 (out of +/-100). The model ensemble suggests the market will tend to be bullish in the nearest future.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 320 candles. The market is currently bullish, appreciating by 80.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes up.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 55.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 1.8584% in the next candle, the price will fluctuate around 186.25 and with 95.0% probability will not go below 180.57 or above 191.93.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 185.95 and with 95.0% probability will not go below 181.35 or above 191.09.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 185.95 and with 95.0% probability will not go below 181.38 or above 191.12.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 182.56 and with 95.0% probability will not go below 104.87 or above 294.07.
- Fibonacci with seven retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 191.65 at the level of 100.0%. The nearest Fibonacci support is 165.63 at the level of 76.4%.
- Fibonacci with five retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 191.65 at the level of 100.0%. The nearest Fibonacci support is 149.54 at the level of 61.8%.
- Fibonacci with four retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 191.65 at the level of 100.0%. The nearest Fibonacci support is 149.54 at the level of 61.8%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 185.9 and with 95.0% probability will not go below 181.59 or above 192.09.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of 0.5199% in the next candle, the price will fluctuate around 186.78 and with 95.0% probability will not go below 179.12 or above 194.43.
- AR model at confidence level 95.0%: the AR model forecasts a return of 0.5199% in the next candle, the price will fluctuate around 186.78 and with 95.0% probability will not go below 181.37 or above 192.18.
Stability Indicators *
Generalised extreme value: According to the indicator, the market is stable
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the stability of the market is uncertain
- Tukey lambda: According to the indicator, the stability of the market is uncertain
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#AMZN #1d #trading #Distribution analysis
submitted by
OsirisAI to
OsirisFinance [link] [comments]
2024.05.15 16:56 OsirisAI Stock Information for #TSLA - 1d
#TSLA #1d #Stock───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals 11 (out of +/-100). The model ensemble suggests the market will tend to be bullish in the nearest future.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 322 candles. The market is currently bearish, depreciating by 3.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes up.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 3.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 2.1634% in the next candle, the price will fluctuate around 176.34 and with 95.0% probability will not go below 170.07 or above 182.61.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 176.27 and with 95.0% probability will not go below 168.04 or above 185.06.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 176.3 and with 95.0% probability will not go below 168.26 or above 185.12.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 166.67 and with 95.0% probability will not go below -35.88 or above 423.3.
- Fibonacci with seven retracements: the price is likely to rebound upward from the nearest Fibonacci support of 172.66 at the level of 23.6%. The nearest Fibonacci resistance is 216.56 at the level of 38.2%.
- Fibonacci with five retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 216.56 at the level of 38.2%. The nearest Fibonacci support is 101.63 at the level of 0.0%.
- Fibonacci with four retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 216.56 at the level of 38.2%. The nearest Fibonacci support is 101.63 at the level of 0.0%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 175.95 and with 95.0% probability will not go below 168.15 or above 185.84.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of 0.1969% in the next candle, the price will fluctuate around 176.58 and with 95.0% probability will not go below 163.49 or above 189.66.
- AR model at confidence level 95.0%: the AR model forecasts a return of 0.1969% in the next candle, the price will fluctuate around 176.58 and with 95.0% probability will not go below 167.33 or above 185.83.
Stability Indicators *
Generalised extreme value: According to the indicator, the market is stable
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the market is stable
- Tukey lambda: According to the indicator, the market is stable
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#TSLA #1d #trading #Distribution analysis
submitted by
OsirisAI to
OsirisFinance [link] [comments]
2024.05.15 16:56 OsirisAI Stock Information for #INTC - 1d
#INTC #1d #Stock───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals 2 (out of +/-100). The model ensemble is uncertain with regards to future market movements.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 594 candles. The market is currently bearish, depreciating by 40.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes up.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 55.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 1.8207% in the next candle, the price will fluctuate around 30.87 and with 95.0% probability will not go below 29.95 or above 31.8.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 30.92 and with 95.0% probability will not go below 29.52 or above 31.99.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 30.93 and with 95.0% probability will not go below 29.52 or above 31.99.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 32.52 and with 95.0% probability will not go below -4.13 or above 60.25.
- Fibonacci with seven retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 32.11 at the level of 23.6%. The nearest Fibonacci support is 24.68 at the level of 0.0%.
- Fibonacci with five retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 36.7 at the level of 38.2%. The nearest Fibonacci support is 24.68 at the level of 0.0%.
- Fibonacci with four retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 36.7 at the level of 38.2%. The nearest Fibonacci support is 24.68 at the level of 0.0%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 30.93 and with 95.0% probability will not go below 29.51 or above 32.01.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of 0.0555% in the next candle, the price will fluctuate around 30.88 and with 95.0% probability will not go below 29.03 or above 32.72.
- AR model at confidence level 95.0%: the AR model forecasts a return of 0.0555% in the next candle, the price will fluctuate around 30.88 and with 95.0% probability will not go below 29.57 or above 32.18.
Stability Indicators *
Generalised extreme value: According to the indicator, the stability of the market is uncertain
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the market is stable
- Tukey lambda: According to the indicator, the stability of the market is uncertain
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#INTC #1d #trading #Distribution analysis
submitted by
OsirisAI to
OsirisFinance [link] [comments]
2024.05.15 16:54 OsirisAI Stock Information for #AAPL - 1d
#AAPL #1d #Stock───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals 34 (out of +/-100). The model ensemble predicts the market is more likely to be bullish in the nearest future.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 339 candles. The market is currently bullish, appreciating by 44.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes up.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 13.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 1.0644% in the next candle, the price will fluctuate around 186.9 and with 95.0% probability will not go below 183.63 or above 190.17.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 187.01 and with 95.0% probability will not go below 182.99 or above 190.4.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 187.01 and with 95.0% probability will not go below 183.1 or above 190.41.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 186.34 and with 95.0% probability will not go below 120.68 or above 256.44.
- Fibonacci with seven retracements: the price is likely to rebound upward from the nearest Fibonacci support of 180.98 at the level of 76.4%. The nearest Fibonacci resistance is 198.53 at the level of 100.0%.
- Fibonacci with five retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 198.53 at the level of 100.0%. The nearest Fibonacci support is 170.13 at the level of 61.8%.
- Fibonacci with four retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 198.53 at the level of 100.0%. The nearest Fibonacci support is 170.13 at the level of 61.8%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 186.85 and with 95.0% probability will not go below 183.25 or above 190.7.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of 0.1824% in the next candle, the price will fluctuate around 187.17 and with 95.0% probability will not go below 181.64 or above 192.7.
- AR model at confidence level 95.0%: the AR model forecasts a return of 0.1824% in the next candle, the price will fluctuate around 187.17 and with 95.0% probability will not go below 183.26 or above 191.09.
Stability Indicators *
Generalised extreme value: According to the indicator, the market is stable
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the market is stable
- Tukey lambda: According to the indicator, the market is stable
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#AAPL #1d #trading #Distribution analysis
submitted by
OsirisAI to
OsirisFinance [link] [comments]
2024.05.15 16:54 OsirisAI Stock Information for #PFE - 1d
#PFE #1d #Stock───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals -29 (out of +/-100). The model ensemble suggests the market will tend to be bearish in the nearest future.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 467 candles. The market is currently bearish, depreciating by 47.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes up.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 34.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 0.966% in the next candle, the price will fluctuate around 28.18 and with 95.0% probability will not go below 27.73 or above 28.63.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 28.17 and with 95.0% probability will not go below 27.55 or above 28.94.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 28.16 and with 95.0% probability will not go below 27.55 or above 28.94.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 27.74 and with 95.0% probability will not go below 16.43 or above 40.98.
- Fibonacci with seven retracements: the price is likely to rebound upward from the nearest Fibonacci support of 25.21 at the level of 0.0%. The nearest Fibonacci resistance is 33.44 at the level of 23.6%.
- Fibonacci with five retracements: the price is likely to rebound upward from the nearest Fibonacci support of 25.21 at the level of 0.0%. The nearest Fibonacci resistance is 38.53 at the level of 38.2%.
- Fibonacci with four retracements: the price is likely to rebound upward from the nearest Fibonacci support of 25.21 at the level of 0.0%. The nearest Fibonacci resistance is 38.53 at the level of 38.2%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 28.16 and with 95.0% probability will not go below 27.51 or above 28.92.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of -0.3272% in the next candle, the price will fluctuate around 28.12 and with 95.0% probability will not go below 27.09 or above 29.15.
- AR model at confidence level 95.0%: the AR model forecasts a return of -0.3272% in the next candle, the price will fluctuate around 28.12 and with 95.0% probability will not go below 27.39 or above 28.84.
Stability Indicators *
Generalised extreme value: According to the indicator, the market is stable
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the market is stable
- Tukey lambda: According to the indicator, the market is stable
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#PFE #1d #trading #Distribution analysis
submitted by
OsirisAI to
OsirisFinance [link] [comments]
2024.05.15 11:56 OsirisAI Stock Information for #RIO - 1d
#RIO #1d #Stock───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals -10 (out of +/-100). The model ensemble suggests the market will tend to be bearish in the nearest future.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 377 candles. The market is currently bullish, appreciating by 3.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes down.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 13.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 0.9896% in the next candle, the price will fluctuate around 5557.91 and with 95.0% probability will not go below 5467.49 or above 5648.33.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 5553.92 and with 95.0% probability will not go below 5418.02 or above 5709.33.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 5553.41 and with 95.0% probability will not go below 5419.27 or above 5709.9.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 5466.51 and with 95.0% probability will not go below 3692.56 or above 7640.91.
- Fibonacci with seven retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 5642.0 at the level of 61.8%. The nearest Fibonacci support is 5406.02 at the level of 50.0%.
- Fibonacci with five retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 5642.0 at the level of 61.8%. The nearest Fibonacci support is 5406.02 at the level of 50.0%.
- Fibonacci with four retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 5642.0 at the level of 61.8%. The nearest Fibonacci support is 5170.05 at the level of 38.2%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 5552.68 and with 95.0% probability will not go below 5427.24 or above 5706.42.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of 0.0508% in the next candle, the price will fluctuate around 5557.65 and with 95.0% probability will not go below 5358.78 or above 5756.51.
- AR model at confidence level 95.0%: the AR model forecasts a return of 0.0508% in the next candle, the price will fluctuate around 5557.65 and with 95.0% probability will not go below 5417.11 or above 5698.19.
Stability Indicators *
Generalised extreme value: According to the indicator, the stability of the market is uncertain
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the market is stable
- Tukey lambda: According to the indicator, the market is stable
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#RIO #1d #trading #Distribution analysis
submitted by
OsirisAI to
OsirisFinance [link] [comments]
2024.05.15 11:55 OsirisAI Stock Information for #VOD - 1d
#VOD #1d #Stock───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals -17 (out of +/-100). The model ensemble suggests the market will tend to be bearish in the nearest future.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 595 candles. The market is currently bearish, depreciating by 35.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes up.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 34.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 1.3838% in the next candle, the price will fluctuate around 73.31 and with 95.0% probability will not go below 71.64 or above 74.98.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 73.22 and with 95.0% probability will not go below 71.41 or above 75.21.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 73.21 and with 95.0% probability will not go below 71.46 or above 75.25.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 73.92 and with 95.0% probability will not go below 45.22 or above 101.76.
- Fibonacci with seven retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 81.25 at the level of 23.6%. The nearest Fibonacci support is 62.7 at the level of 0.0%.
- Fibonacci with five retracements: the price is likely to rebound upward from the nearest Fibonacci support of 62.7 at the level of 0.0%. The nearest Fibonacci resistance is 92.72 at the level of 38.2%.
- Fibonacci with four retracements: the price is likely to rebound upward from the nearest Fibonacci support of 62.7 at the level of 0.0%. The nearest Fibonacci resistance is 92.72 at the level of 38.2%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 73.33 and with 95.0% probability will not go below 71.26 or above 75.33.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of -0.2276% in the next candle, the price will fluctuate around 73.2 and with 95.0% probability will not go below 70.26 or above 76.15.
- AR model at confidence level 95.0%: the AR model forecasts a return of -0.2276% in the next candle, the price will fluctuate around 73.2 and with 95.0% probability will not go below 71.12 or above 75.28.
Stability Indicators *
Generalised extreme value: According to the indicator, the market is stable
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the market is stable
- Tukey lambda: According to the indicator, the market is stable
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#VOD #1d #trading #Distribution analysis
submitted by
OsirisAI to
OsirisFinance [link] [comments]
2024.05.15 11:54 OsirisAI Stock Information for #BP - 1d
#BP #1d #Stock───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals 6 (out of +/-100). The model ensemble is uncertain with regards to future market movements.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 258 candles. The market is currently bullish, appreciating by 2.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes up.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 34.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 1.1058% in the next candle, the price will fluctuate around 503.2 and with 95.0% probability will not go below 494.05 or above 512.35.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 502.92 and with 95.0% probability will not go below 491.9 or above 513.45.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 503.09 and with 95.0% probability will not go below 492.0 or above 513.46.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 499.16 and with 95.0% probability will not go below 309.95 or above 712.22.
- Fibonacci with seven retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 513.56 at the level of 76.4%. The nearest Fibonacci support is 478.34 at the level of 61.8%.
- Fibonacci with five retracements: the price is likely to rebound upward from the nearest Fibonacci support of 478.34 at the level of 61.8%. The nearest Fibonacci resistance is 570.54 at the level of 100.0%.
- Fibonacci with four retracements: the price is likely to rebound upward from the nearest Fibonacci support of 478.34 at the level of 61.8%. The nearest Fibonacci resistance is 570.54 at the level of 100.0%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 502.96 and with 95.0% probability will not go below 492.84 or above 514.37.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of 0.0309% in the next candle, the price will fluctuate around 503.24 and with 95.0% probability will not go below 487.7 or above 518.79.
- AR model at confidence level 95.0%: the AR model forecasts a return of 0.0309% in the next candle, the price will fluctuate around 503.24 and with 95.0% probability will not go below 492.27 or above 514.26.
Stability Indicators *
Generalised extreme value: According to the indicator, the stability of the market is uncertain
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the stability of the market is uncertain
- Tukey lambda: According to the indicator, the stability of the market is uncertain
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#BP #1d #trading #Distribution analysis
submitted by
OsirisAI to
OsirisFinance [link] [comments]
2024.05.15 11:52 OsirisAI Stock Information for #TSCO - 1d
#TSCO #1d #Stock───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals 25 (out of +/-100). The model ensemble suggests the market will tend to be bullish in the nearest future.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 399 candles. The market is currently bullish, appreciating by 56.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes down.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 55.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 0.8638% in the next candle, the price will fluctuate around 313.76 and with 95.0% probability will not go below 309.3 or above 318.21.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 313.9 and with 95.0% probability will not go below 308.4 or above 319.1.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 313.89 and with 95.0% probability will not go below 308.45 or above 318.93.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 314.12 and with 95.0% probability will not go below 234.08 or above 383.16.
- Fibonacci with seven retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 314.69 at the level of 100.0%. The nearest Fibonacci support is 286.37 at the level of 76.4%.
- Fibonacci with five retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 314.69 at the level of 100.0%. The nearest Fibonacci support is 268.87 at the level of 61.8%.
- Fibonacci with four retracements: the price is likely to rebound downward from the nearest Fibonacci resistance of 314.69 at the level of 100.0%. The nearest Fibonacci support is 268.87 at the level of 61.8%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 313.92 and with 95.0% probability will not go below 307.77 or above 319.22.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of 0.0402% in the next candle, the price will fluctuate around 313.72 and with 95.0% probability will not go below 305.28 or above 322.15.
- AR model at confidence level 95.0%: the AR model forecasts a return of 0.0402% in the next candle, the price will fluctuate around 313.72 and with 95.0% probability will not go below 307.76 or above 319.67.
Stability Indicators *
Generalised extreme value: According to the indicator, the stability of the market is uncertain
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the market is stable
- Tukey lambda: According to the indicator, the market is stable
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#TSCO #1d #trading #Distribution analysis
submitted by
OsirisAI to
OsirisFinance [link] [comments]
2024.05.15 03:55 OsirisAI Stock Information for #6758.JP - 1d
#6758.JP #1d #Stock───────────
Ensemble model *
Overview: The synthetic investment attractiveness indicator equals -17 (out of +/-100). The model ensemble suggests the market will tend to be bearish in the nearest future.
Optimal past *
Optimal past: The optimal lookback period for modelling is currently 522 candles. The market is currently bearish, depreciating by 3.0% during the latest phase.
Elliot Waves *
Elliot Waves: The market's trend has changed and currently goes down.
- Elliot Waves Settings: Elliot Waves were updated. The current wavelength is 55.
Price Bound Modelling *
HAR model at confidence level 95.0%: the HAR model forecasts volatility of 1.1142% in the next candle, the price will fluctuate around 11940.04 and with 95.0% probability will not go below 11721.21 or above 12158.88.
- BRW VaR at confidence level 95.0%: in the next candle, the price will fluctuate around 11940.0 and with 95.0% probability will not go below 11671.69 or above 12264.48.
- Historical simulation at confidence level 95.0%: in the next candle, the price will fluctuate around 11940.0 and with 95.0% probability will not go below 11677.36 or above 12267.77.
- Multifractal range at confidence level 95.0%: in the next 256 candles, the price will fluctuate around 11811.17 and with 95.0% probability will not go below 7593.9 or above 16757.53.
- Fibonacci with seven retracements: the price is likely to rebound upward from the nearest Fibonacci support of 11697.83 at the level of 38.2%. The nearest Fibonacci resistance is 12466.0 at the level of 50.0%.
- Fibonacci with five retracements: the price is likely to rebound upward from the nearest Fibonacci support of 11697.83 at the level of 38.2%. The nearest Fibonacci resistance is 12466.0 at the level of 50.0%.
- Fibonacci with four retracements: the price is likely to rebound upward from the nearest Fibonacci support of 11697.83 at the level of 38.2%. The nearest Fibonacci resistance is 13234.17 at the level of 61.8%.
- MVaR bounds at confidence level 95.0%: in the next candle, the price will fluctuate around 11930.87 and with 95.0% probability will not go below 11643.72 or above 12267.66.
Forecast *
MA model at confidence level 95.0%: the MA model forecasts a return of -0.0162% in the next candle, the price will fluctuate around 11940.0 and with 95.0% probability will not go below 11462.4 or above 12417.6.
- AR model at confidence level 95.0%: the AR model forecasts a return of -0.0162% in the next candle, the price will fluctuate around 11940.0 and with 95.0% probability will not go below 11581.8 or above 12298.2.
Stability Indicators *
Generalised extreme value: According to the indicator, the market is stable
- Power law: According to the indicator, the stability of the market is uncertain
- Student degrees of freedom: According to the indicator, the stability of the market is uncertain
- Tukey lambda: According to the indicator, the stability of the market is uncertain
Seasonality test *
Seasonality test: According to the generalised seasonality test, there are no seasonal effects on the market.
Distribution analysis *
Best-fit distribution: Best-fit distribution has changed, and now it is Hyperbolic secant
───────────
Not investment advice.
#6758.JP #1d #trading #Distribution analysis
submitted by
OsirisAI to
OsirisFinance [link] [comments]
http://rodzice.org/