NAS100 / BTC / EURUSD / GOLD / OIL / EXPLANATORY NOTES
Updates are provided upon member request.
Disclaimer: Traders are responsible for their own trading decisions.
NAS100: vGRE* Monthy Strategy 1-Mar-2023 — For the month of Feb, NAS100 ended marginally lower at 12,042 from 12,101. A total of 16 buy/hold signals against 3 sell/shorts suggest an overall buy/long strategy for the coming month of 1-Mar-2023, prices below 12,042 are opportunities for accumulation with an 84.2% (16/19) probability of upside.
(charts loading…)
[BACK]
BTC: vGRE* Monthy Strategy 1-Mar-2023 — For the month of Feb, Bitcoin ended marginally higher at 23,147 from 23,139. A total of 24 buy/hold signals against 4 sell/shorts suggest an overall buy/long strategy for the coming month of 1-Mar-2023, prices below 23,147 are opportunities for accumulation with an 85.7% (24/28) probability of upside.
[BACK]
EURUSD: vGRE* Monthy Strategy 1-Mar-2023 — For the month of Feb, EURUSD ended lower at 1.0611 from 1.0851. A total of 10 buy/hold signals against 10 sell/shorts suggest an overall neutral strategy for the coming month of 1-Mar-2023, prices below or above 1.0611 are equal opportunities with a 50% (10/20) probability of upside/downside.
[BACK]
GOLD: vGRE* Monthy Strategy 1-Mar-2023— For the month of Feb, Gold ended lower at 1,828 from 1,929. A total of 5 buy/hold signals against 13 sell/shorts suggest an overall sell/short strategy for the coming month of 1-Mar-2023, prices above 1,828 are opportunities for shorting with a 72.2% (13/18) probability of downside.
[BACK]
OIL (WTI): vGRE* Monthy Strategy 1-Mar-2023— For the month of Feb, Oil ended lower at 77.1 from 80.3. A total of 6 buy/hold signals against 13 sell/shorts suggest an overall sell/short strategy for the coming month of 1-Mar-2023, prices above 77.1 are opportunities for shorting with a 68.4% (13/19) probability of downside.
[BACK]
EXPLANATORY NOTES
Trade based on vGRE* (volume-weighted Golden-Ratio Estimator with *genetic-optimization for >66% efficacy estimated from signal probability). Financial markets are inefficient. At any particular price, there are buyers who believe that the price is relatively cheap and vice versa. vGRE* helps members uncover this inefficiency for profit. New investors at higher prices support previous investors.
Based on the expected average price range of +/-300 points per week and depending on personal risk-reward ratios, averaging down (steps of 150) for entries and trailing stops (steps of 25) for exits can be performed. Bollinger Bands W1 (20,2) provides a good quarterly guide.
Do not over-leverage from over-trading and be forced to close your positions due to margin calls. As a general rule, divide your capital by a factor of 100,000 to calculate your first entry lot size and do not trade more than 5 lots for every US$10,000 to provide a sufficient buffer from volatile conditions. Ensure sufficient funds in your trading account.
- vGRE* as a Technical Indicator for Risk Analysis on NAS100, etc.
- Risk-cybernetics is applied to the GR-Estimator as a technical indicator, which includes trading volume and golden-ratio segments as input parameters, computed with genetic-optimization.
- The quantification of risk is probably the most important activity for investments. Both public and private sectors spend millions on beefing up infrastructure for the purpose of enhancing risk management processes.
- Here we provide the vGRE* which helps account for the self-fulfilling prophecy in technical analysis.
- The vGRE* incorporates a random parameter optimization function based on the Golden-Ratio (GR) where GR≈1.618.
- The inputs of open price, high price, low price, close price are split into line segments a and b where:
- a = | minimum price minus mean price |
- b = | mean price minus maximum price |
- where a>b : hypothesized ratio=1.618
- where b>a : hypothesized ratio=0.618
- We then compute the Genetic-Factor (GF) via our proprietary genetic-optimization process where the GF-estimate is an optimized best-fit result between 0 to 1.618 subject to the calculated a and b data as constraints.
- The GR-Estimator (GRE) is computed as GF/GR and the vGRE is the adjusted (GF/GR) for easy reference, multiplied by the trading volume in that period.
- The vGRE* is thus a technical indicator that reflects the potential volume-weighted price change and any spike represents a potential downside that can be a potential short or exit, while a dip represents a potential upside that can be a good entry point. This serves as a check with other familiar technical indicators and addresses the self-fulfilling prophecy debate with volume-weighted optimization.
- The Signal (Sig) of 1 (buy/hold) and 0 (sell/short) are reported per trading day. To use it, refer to every trading week/month which reports 5 to 20+ signals. For eg. 3 buys to 2 sells would indicate an overall buy/hold signal. Again, this is not definitive and is also used as a check with common indicators.
- The first derivative of vGRE* or the Continuous Return (CR) statistic is also reported for YTD to serve as a check for stationarity of the vGRE* statistic. vGRE*-CR should be a stationary/stochastic process with constant variance and a change of variance indicates deviation from the normal and deserves attention for the specific period.
[BACK]
Finamatrix 