The Golden Ratio MultiplierBy Philip Swift
As Bitcoin continues to progress on its adoption journey, we learn more about its growth trajectory.
Rather than Bitcoin price action behaving like a traditional stock market share price, we see it act more like a technology being adopted at an exponential rate.
This is because Bitcoin is a network being adopted by society, and because it is decentralised money with limited supply, its price is a direct representation of that adoption process.
There are a number of regression analysis tools and stock to flow ratio studies that are helping us to understand the direction of Bitcoin’s adoption curve.
The new tool outlined in this paper brings an alternative degree of precision to understanding Bitcoin’s price action over time. It will demonstrate that Bitcoin’s adoption is not only following a broad growth curve but appears to be following established mathematical structures.
In doing so, it also:
Accurately and consistently highlights intracycle highs and lows for Bitcoin’s price.
Picks out every market cycle top in Bitcoin’s history.
Forecasts when Bitcoin will top out in the coming market cycle.
To begin, we will use the 350 day moving average of Bitcoin’s price. It has historically been an important moving average because once price moves above it, a new bull run begins.
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All rights reserved to Philip Swift (@PositiveCrypto)
Goldenratio
Fibonacci Retracement (S)-GoldThe Automatic Fib Retracement-Gold script indicates the 38.2%, 50%, 61.8% and 65% pullback regions.
The lines of the upper and lower pivots , the support and resistance areas are also highlighted as well as the Golden Pocket.
Customisable Fib Length - Time period over which max and min pivots are chosen.
Offsetfib - Automatically offsets the pivots and sell zone as your entry position
will be some time after the upper and lower pivots are set.
Works well when used in combination with an oscillator which highlights Divergence.
A strategy based off buying the 50-618 with a defined stop loss the other side of the 65 can easily be formulated. This tool will automatically plot those points but a defined Risk Management strategy will always be needed.
The 382 region can also be plotted, allowing for lesser retracements coinciding with wave 4 pullbacks (Elliott Wave Traders).
Works best in Bearish trends but will work on all timeframes ( Bearish correction in an uptrend also possible).
Previous pivots shown but be careful to identify which of the several pivots you are using.
Start at a larger timeframe and move down. (Entries consistent on several timeframes are golden)
Pivots and retracements are dynamic. Be sure to note your entry and targets.
Golden Short Testing 1.1New version of Golden Short Strategy based on the golden number theory and is for long positions. It has two parameters:
1. Step to form the body of candle to generate a possible enter
2. Number of steps to form the body of the candle
Profit 1: 1:0.61 Risk/Reward Ratio -> WinRate on EURUSD: 61.41%
Values on EURUSD:
Interval: 1h
Step: 0.00022
Body: 3
Golden Long Testing 1.1New version of Golden Long Strategy based on the golden number theory and is for long positions. It has two parameters:
1. Step to form the body of candle to generate a possible enter
2. Number of steps to form the body of the candle
Profit 1: 1:0.61 Risk/Reward Ratio -> WinRate on EURUSD: 66.70%
Profit 2: 1:1.61 Risk/Reward Ratio -> WinRate on EURUSD: 48.04%
Profit 3: 1:3.23 Risk/Reward Ratio -> WinRate on EURUSD: 28.40%
Values on EURUSD:
Interval: 1h
Step: 0.00022
Body: 7
Golden Short TestingThis scripts is based on the golden number theory and is for short entries. It has three parameters:
1. Step of the body i.e: pip-0.0001, cents-0.01
2. Number of steps of the body of the candle
2. Number of contracts to put on 3 orders executed at the same time
Golden Long TestingThese scripts is based on the golden number theory and is for long entries. It has two parameters:
1. Number of pips of the body of candles to put an entry
2. Number of contracts to put on 3 orders executed at the same time
Fractal Regression Bands [DW]This study is an experimental regression curve built around fractal and ATR calculations.
First, Williams Fractals are calculated, and used as anchoring points.
Next, high anchor points are connected to negative sloping lines, and low anchor points to positive sloping lines. The slope is a specified percentage of the current ATR over the sampling period.
The median between the positive and negative sloping lines is then calculated, then the best fit line (linear regression) of the median is calculated to generate the basis line.
Lastly, a Golden Mean ATR is taken of price over the sampling period and multiplied by 1/2, 1, 2, and 3. The results are added and subtracted from the basis line to generate the bands.
Williams Fractals are included in the plots. The color scheme indicated whether each fractal is engulfing or non-engulfing.
Custom bar color scheme is included.
Multi-Timeframe Probability Zones [DW]This is an experimental study based on multi-timeframe price action and a simple average.
Use it to quickly identify MTF support and resistance, and high probability price levels.
NOTE: Because higher timeframe levels are not certain until the interval is closed, refresh your chart as new levels are drawn.
Goldies Wave Revision- Exponential Movin Average
- Tilson's T3 Moving Average
- 0.618 Golden ratio
- Fibonacci Retrenchment
EMA & SMA with FRACTAL DEVIATION BANDS by @XeL_ArjonaEMA & SMA with FRACTAL DEVIATION BANDS
Ver. 1.0.25.08.2015
By Ricardo M Arjona @XeL_Arjona
DISCLAIMER:
DISCLAIMER:
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets. The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is.
WHAT IS THIS?
This is the adaptation of the FRACTAL DEVIATION BANDS to be used on Traditional Moving Averages (Simple & Exponential).
ALL NEW IDEAS OR MODIFICATIONS to these indicator(s) are Welcome in favor to deploy a better and more accurate readings. I will be very glad to be notified at Twitter or TradingVew accounts at: @XeL_Arjona
Any important addition to this work MUST REMAIN PUBLIC by means of CreativeCommons CC & TradingView.
2015
