Crypto/DXY ScoringHi!
This indicator "Crypto/DXY Scoring", a multi-purpose script, consists of various comparison statistics (including an alternative RS/RSMOM model) to show the strength of a currency against the DXY.
Features
"Contrived" RS/RSMOM alternative model
Compare the strength of the crypto currency on your chart to any asset (DXY default)
Glass's ∆
Z-comparison
Hedges' g
Cliff's Delta
Z-score for log returns
RRG graph (with adjusted dimensions) Traditional RRG graph coming soon (:
Let's go over some simplified interpretations of what's shown on the chart!
The image above provides generalized interpretations for the three of the data series plotted by the indicator.
The image above further explains the other plots for the indicator!
The image above shows the final result!
Underlying Theory
"When the dollar is strong as indicated by the DXY, it usually means that investors are seeking safety in traditional assets. Bitcoin (crypto) is often considered a "risk-on" asset, meaning investors might sell BTC in favor of holding dollars, thus driving BTC prices down."
Given the complexities associated with this relationship, including its contentious implications and a variable correlation between crypto and the DXY, this theory is one within a plethora.
That said, regardless of accuracy, this indicator adheres to the theory outlined above (:
The image above shows the purpose of the red/lime columns and the corresponding red/green lines.
Should the crypto on your chart and the DXY (or comparison symbol) exhibit negative correlation, and should the performance of DXY (or comparison symbol) hold any predictive utility for the subsequent performance of the crypto on your chart, the red columns violating the red line might indicate an upcoming "dump" for the crypto on your chart.
Lime green columns violating the green line may indicator an inverse response.
Alternative Relative Rotation Graph
In its current state, the alternated dimensions for the Relative Rotation Graph cause it to function more as a "Relative Performance Graph".
Fear not; a traditional RRG graph is coming soon!
The image above shows our alternative RRG!
Interpretation
With this model, you can quickly/intuitively assess the relative performance of the display cryptos against an index of their performance.
The image above shows generalized interpretations of the model!
That's it for this indicator! Thank you for checking it out; more to come (:
Cryptosignals
Crypto Terminal [Kioseff Trading]Hello!
Introducing Crypto Terminal (:
The indicator makes use of cryptocurrency data provided by vendor INTOTHEBLOCK.
NOTE: The cryptocurrency on your chart must be paired with USD or USDT. Data won't load otherwise - possibly transient. For instance, BTCUSD or BTCUSDT, ETHUSD or ETHUSDT.
Provided datasets:
Twitter Sentiment Data
Telegram Sentiment Data
Whale Data (i.e. % of Asset Belonging to Whales)
$100,000+ Transactions
Bulls/Bears (Bulls Buying | Bears Selling)
Current Position PnL (Currently Open Positions for the Coin are Retrieved and Plotted. Data is Split into Currently Profitable Positions, Losing Positions, and B/E Positions)
Average Balance
Holders/Traders Percentage (Addresses are Retrieved and Classified as Holding Accounts or Trader Accounts)
Correlation
Futures OI
Perpetual OI
Zero Balance Addresses
Flow (Money Inflow & Outflow)
Active Addresses
Average Transaction Time
Realized PnL (Addresses with Realized Profits, Realized Losses, and B/E)
Cruisers
A few more data points are provided.
Additionally, you can plot the values of any dataset in a pane below price.
Below are images of plottable data; different cryptocurrencies will be shown for each example (:
Twitter sentiment data.
Assess this data lightly; difficult to confirm accuracy.
Telegram sentiment data.
Assess this data lightly; difficult to confirm accuracy.
Percentage of asset belonging to whales.
$100,000+ transactions (volume oriented)
Bulls buying; bears selling.
Current positions at profit; current positions at loss; current positions at breakeven.
Average balance.
Percentage of asset belonging to traders; percentage of asset belonging to holders.
Asset's 30-interval correlation to BTC.
Perpetual open interest.
Zero-balance addresses.
Flows.
Active addresses.
Average transaction time.
Addresses at realized profit; addresses at realized loss; addresses at breakeven.
Cruiser data.
Futures open interest.
Naturally, this data isn't provided for every cryptocurrency; NaN values are returned in some instances.
Table 1
I provided three data tables, which load independently, so you don't have to change plotted data to access values.
Table 2
Lastly, you can create a 10-asset crypto index and run calculations against it.
The image shows an example.
I'll update this script with additional calculations/data in the near future. If you've any suggestions - please let me know!
Enjoy (:
Mid to High daily % - MA & ThresholdPurpose of this script is to provide a metric for comparing crypto volatility in terms of the % gain that can be garnished if you buy the midpoint price of the day and sell the high***. I'm specifically using bots that buy non-stop. This metric makes it easy to compare crypto coins while also providing insight on what a take profit % should be if I want to be sure it closes often instead of getting stuck in a position.
Added a few moving averages of (Mid-range to High Daily %). When these lines starts to trend down, it's time to lower the take profit % or move on to the next coin.
Decided to add a threshold so I could easily mark where I think the (Mid-range to High Daily %) is for most days.
Ex. I can mark 10% threshold and can eyeball roughly ~75% of the days in the past month or so were at or above that level. Then I know I have plenty volatility for a bot taking 5% profit. Also if you have plenty of periodic poke-through that month (let's say once a week) you might argue that you can set it to 7% if you're willing to wait about that long. Either way this metric is conservative because it is only the middle of the range to the high, a less conservative version might provide the % gain if you bought the day low and sold the day high.
***Since this calculation only takes the middle of the range and the high of the day into account, red days are volatile against a buyer but to your advantage if you are a seller. BUT if you have plenty of safety buy orders this volatility in price only means your total purchase volume increases and when/if you reach a take profit level you sell more there.
Would like to upgrade and add a separate MA line for green days and a separate MA line for red days to discern if that particular coin has a bias. Also would like to include some statistics on how many candles are above or below threshold for a certain period instead of eyeballing.
Ichimoku Cloud Strategy Long Only [Bitduke]Slightly modificated and optimized for Pine Script 4.0, Ichimoku Cloud Strategy which, suddenly, good suitable for the several crypto assets.
Details:
Enter position when conversion line crosses base line up, and close it when the opposite happens.
Additional condition for open / close the trade is lagging span, it should be higher than cloud to open position and below - to close it.
Backtesting:
Backtested on SOLUSDT ( FTX, Binance )
+150% for 2021 year, 8% dd
+191% for all time, 32% dd
Disadvantages:
- Small number of trades
- Need to vary parameters for different coins (not very robust)
Should be tested carefully for other coins / stock market. Different parameters could be needed or even algo modifications.
Strategy doesn't repaint.
REAL STRATEGY : Dow_Factor_MFI/RSI_DVOG_StrategyI'm actually one of those who think it's more important to extract clues from indicators than strategy, but I wanted to test the data about the probability and dow factor I've shared for a long time.
Usually, Bitcoin is used as an eye stain for strategy success, since the graph has increased significantly from the beginning.
To prevent this, I used a commission and in the last lines of document I shared Bitmex's Bitcoin and Ethereum 1W test results.
I don't think there's a factor to repaint. ( Warn me if u see or observe )
I considered Bitcoin because I found working with liquid parities much more realistic.
Ethereum and Bitmex have been featured as a spot and may soon find a place at the CME , so I've evaluated the Ethereum .
But since the Ethereum Bitmex was also spot new, I deleted results that were less than 10 closed trades.
Since the Dow Theory also looks at the harmony in the indices, just try it in the Cryptocurrency market.
Use as indicator in other markets. Support with channels, trend lines with big periods and other supportive indicators.
And my personal suggestion : Use this script and indicator TF : 4H and above.
Specifications :
Commission. ( % 0.125 )
Switchable Methods ( Relative Strength Index / Money Flow Index )
Alarms. (Buy / Sell )
Position closure when horizontal market rates weighs.
Progressive gradual buy/sell alarms.
Clean code layout that will not cause repaint. (Caution : source = close )
Switchable barcolor option (I / 0 )
*****Test results :*****
drive.google.com
Summary:
It was a realistic test.
It has achieved great success in some markets, but as I mentioned earlier, use it only to gain insight into the price movements of cryptos.
Use as indicator in other markets.
This code is open source under the MIT license. If you have any improvements or corrections to suggest, please send me a pull request via the github repository : github.com
Stay tuned ! Noldo.
