Bitcoin Difficult Model [ChuckBanger]Simple script that graphically represents the mining difficulty of Bitcoin. It is ment to be used as a tool to decide when it is good time to dollar cost average (DCA) in your Bitcoin hodl position. When Price is below the difficulty model it is usually a good time to DCA.
Formula for the model used in this calculation is 0.002 * difficulty ^ 0.51. It is possible to change this numbers if necessarily.
Bitcoin (Cryptocurrency)
Bitcoin Blockchain ToolkitA toolkit of all kinds of bitcoin market data, but mostly on-chain data.
In the settings you can select which metrics to show.
Metrics included:
Index: the BXBT spot dollar index
Mcap: bitcoin market cap data calculated by Tradingview
Dominance: bitcoin dominance vs altcoins
Volatility: the Bitmex BVOL volatility tracker
Hashrate: the bitcoin hashrate in giga hashes per second
Difficulty: how difficult it is for miners to find a hash
Miner revenue: bitcoins mined per day + transaction fees * market price
Cost per transaction: miner revenue divided by number of transactions
Transaction volume: total value of transaction output per day
Total transactions: unique transactions per day
Transaction fees: total BTC value of transactions per day
Unique addresses: number of unique addresses used per day
Golden Ratio Multiplier (x1.6; x2; x3)The script displays three multipliers (x1.618; x2; x3) of the Golden Ratio (starting with MA at 350 days) to identify the following levels of support:
the multiplier x1.618 is an accumulation high (green line)
the multiplier x2 is a support that identify a low bull high (red line)
the multiplier x3 is a support that identify an upper bull high (blu line)
Note: the orange line is the SMA at 350 days.
Quansium Series A BacktestThis comes with preconfigured setups or strategies. Simply choose one from our list based on the timeframe it was made for. Leverage can be changed; to keep trading safe, a maximum of 2 is allowed. In our findings, this was able to trade crypto (specifically BTC ), MES (Micro E-mini S&P 500 Index Futures ), and stocks. It is important to know that setups A, B, C, and D use variable position sizing, and dynamic stop loss/trailing stop/take profit, these parameters are provided through the alerts. The rest of the strategies were created with a simpler approach in mind, just plainly entry/exits signals.
Quansium as a framework:
Price reformat: we take the price source (Open, Close, High, Low) and remove any noise that affects the accuracy of our signals.
Time awareness: we take several time periods of the data on the chart such as start, end, and whole. We use this to add more depth to our signals.
Position size: our backtest tries to recreate as much as the real world trades as possible so our position is determined by the current equity. We also use the volatility of the market to increase or decrease our exposure or risk.
Risk awareness: stop loss, take profit, trailing stop are the risk exits we use to provide our users some peace of mind. These parameters are totally dynamic and follow the same behavior of the market.
Signals filtering: to make almost non-existent any errors and increase the quality of our trades, our indicators go through multiple phases, this avoid double entries or early exits, and help maintain a record of what has transpired and what’s currently taking place.
Indicators: whenever we can we use custom code or our own functions instead of the defaults ones provided. This gives us total control of what we’re trying to achieve. In many cases we tend to combine several indicators’ logic into one creating a more personalized take on it.
Easiness: since we started our main goal has been to provide the easiest and fastest way to alerts’ creation. It has taken us years to reach this level where now we already provide a list of preset strategies so the user doesn’t have to spend much time tinkering with scripts and more on other matters, because we know life is more than just trading.
Raw signals: we provide the option to turn off as much of our advanced features such as stop loss, take profit, trailing stop, dynamic sizing, etc, etc for a simple approach. Trade signals still go through the signals filtering method mentioned above,
Timeframe pairing: we take trading very seriously, by no way we’ll want the user to lose money (although such thing is expected because past results aren’t an indicative of futures ones), through years of experience we have found what are usually common mistakes the user makes, this feature allows us to only activate the strategy if the right timeframe is chosen.
Trend filters: through the years we have improved the arts of the trend. We like to keep things simple but yet powerful. We observe the macro and micro trend of the security. This helps confirm we are entering at the desirable timing. We also incorporate volume and volatility into decision making, we simply programmed it to trade when these are increasing and higher than the average values observed in both the short and long term. Finally we take into account the strength of the pair to make our final choice of whether to enter or wait, and if anything flashes contrary movement then we cancel the upcoming signal and stop monitoring until the next one comes along.
Full automated risk: stop loss, take profit, and trailing stops usually are set in percentages, and optimized even more using the current market behavior to become more adaptive. But always remains some sort of fixation, so the user must choose a value somewhere. This is where our framework shines the most, as previously mentioned before when we take time into our calculations, we use several periods to observe performance and get values that keep our risk exits natural and closest to the flow of the market itself.
Setups:
A: Centered oscillator with the difference of several moving averages with more sensitive settings. Momentum focused.
B: Centered oscillator using simple moving averages. Trend-Following focused.
C: Centered oscillator using smoothed data with the help of faster moving averages. Trend-Following focused.
D: Centered oscillator with the difference of several moving averages with less sensitive settings. Trend-Following focused.
E: Centered oscillator with the difference of moving averages where the standard deviation is applied first. It uses less sensitive settings. Trend-Following focused.
F: Finds the relationship between multiple readings of the price’s relative strength to better pin-point downs and ups. Trend-Following focused.
G: Centered oscillator with the difference of moving averages where the standard deviation is applied first. It uses more sensitive settings. Momentum focused.
H: Multiple centered oscillators using various moving averages. Trend-Following focused.
I: Centered oscillator using simple moving averages. Momentum focused.
Note: The framework is composed of almost 1000 lines of code as compared to each indicator that makes up the setup which is around 10. The power from Quansium doesn't come from the strategies themselves but rather the overall system that turns simple signals into complex and advanced trades.
Strategy Tester:
Initial Capital: chosen value is $20,000, as an approximate to Bitcoin’s ATH (All-Time High). In previous iterations we noticed some trades won’t go through if the capital was less than the ATH.
Order Size: 100% of equity (although the script controls this, and this is of no regards to the results).
Pyramiding: 1, system doesn’t place multiple entries in a row, only one at a time.
Commission: This simulates order execution with custom trading fees. Commissions are turned off by default because this script works in various markets and each operates differently. In order to reach results that are close to real world conditions, it is imperative the user fills this based upon their broker or exchange data.
When we started, we were focused on finding the best indicator, or creating it ourselves. After years we came to realize that the secret is not in which indicator you use but the framework behind it. All strategies have bad, good, best, worst performance periods. The key of a good system is to help keep you safe when it’s down and maximize your potential when it’s up. We hope this material at the very minimum inspires you to keep going and not lose faith, because it is not the smartest who win but those who persevere.
[MACLEN] HODL ZONE RENKO
PLEASE READ!
Trade at your own risk. Please read about renko charts before using this indicator. This indicator is for educational purposes only.
This Indicator is only valid in renko charts with 1 second timeframe. For BTCUSDT . With the traditional method and the size box of 80.
With this indicator we can detect zones of buy and sell. Even that is not recommended to use leverage, I use it to find an entry and use only small leverages. It could be also used to accumulate and HODL bitcoin .
Please, comment anything.
POR FAVOR LEER!
Tradea bajo tu propio riesgo. Por favor lee sobre las graficas renko antes de usar este indicador. Este indicador es solamente con fines educativos.
Este indicador es válido solamente en graficas renko con un timeframe de 1 segundo. Para BTCUSDT . Con cajas del método tradicional de un tamaño de 80.
Con este indicador podemos detectar zonas de compra y venta. A pesar de que no es recomendable usar apalancamiento, yo lo uso para encontrar entradas y solo uso apalancamientos pequeños. También podría usarse para acumular y holdear bitcoin .
Por favor, escríbeme cualquier duda o comentario.
BTC Aggregated Perps OBVAggregated on balance volume of the most relevant bitcoin perpetual swap contracts.
There's also an option to select which markets you want to include or exclude.
Complete list:
Binance USD
Binance USDT
Okex USD
Okex USDT
Bybit USD
Bybit USDT
Huobi USD
Bitmex XBT
FTX USD
Deribit USD
Kraken XBT
BTC Aggregated Spot OBVAggregated on balance volume of the most relevant bitcoin spot markets.
There's also an option to select which markets you want to include or exclude.
Complete list:
Binance USDT
Huobi USDT
Okex USDT
Poloniex USDT
Coinbase USD
Bitstamp USD
Bitfinex USD
Kraken USD
Gemini USD
FTX USD
BTC Aggregated Perps VolumeAggregated volume for the most relevant bitcoin perpetual swap contracts, denominated in US dollars.
There's also an option to select which markets you want to include or exclude.
Complete list:
Binance USD
Binance USDT
Okex USD
Okex USDT
Bybit USD
Bybit USDT
Huobi USD
Bitmex XBT
FTX USD
Deribit USD
Kraken XBT
BTC Aggregated Spot VolumeAggregated volume of the most relevant bitcoin spot markets.
There's also an option to select which markets you want to include or exclude.
Complete list:
Binance USDT
Binance BUSD
Coinbase USD
Coinbase EUR
Bitstamp USD
Bitstamp EUR
Kraken USD
Kraken EUR
Bitfinex USD
Gemini USD
Huobi USDT
Okex USDT
Bitflyer JPY
Bithumb KRW
FTX USD
CME
Grayscale
BTC Bitfinex USD L/S RatioThe Bitfinex USD long / short ratio.
Values above 1 means there're more longs than shorts.
BTC Spot Volume DominanceThis shows the relative dominance of spot volume compared to the volume of perpetual swaps.
Derivatives volume is always a lot higher than spot volume, so a relative ratio is made to compare.
The higher the ratio the more dominant spot markets are. Spot dominance during rallies is considered bullish.
BTC Futures ContangoThis indicator allows you to compare two futures contracts to the Bitmex XBT/USD perpetual swap contract.
There's an option in the settings to use a different chart as a reference.
It shows percentage-wise whether the futures are in contango or in backwardation.
Bullish and bearish warning signs are given at specific percentages. These can be customized.
BTC Bitmex Index PremiumThe price difference between the last price of the Bitmex XBT/USD perpetual swap contract and the BXBT spot bitcoin dollar index.
Positive values (green) means the BXBT index is trading at a premium, which is considered bullish.
Negative values (red) means the BXBT index is trading at a discount, which is considered bearish.
Bitcoin Binance Sentiment IndexThe divergence of the price between the futures and spot markets for perpetual contracts could be a gauge of sentiment on a traded cryptoasset.
Sentiment analysis could be used to improve the the predictive value of technical and fundamental analysis.
The price of the perpetual contract is divided by the spot price for Bitcoin on Binance and two simple moving averages of this ratio are plotted together. For graphical purposes, the ratio between the two prices has been multiplied by 100. The moving averages were chosen arbitrarily and can be changed. Values above 100 mean that the average price of the futures over the last x periods was above the spot price over the same period. Conversely, values below 100 mean that the mean price of the futures over the last x periods was below the spot price over the same period. The indicator has been created for a daily timeframe.
This indicator is clearly intended for educational purposes only and does not constitute investment advice.
If you are interested in updates on this indicator or interested on sentiment analysis, put a like, subscribe or contact me in pm.
BIO
ARI-DPO TrendThis is a new indicator that uses DPO (Detrended Price Oscillator) and calculating its HMA 200 and EMA 200 is able to show the current price direction.
if the line is below 0 the market is in a downtrend in the short term, otherwise, the market is in an uptrend.
if the line is red, the market is in a downtrend in the long term (bearish), otherwise, the market is in a long term uptrend (bullish)
a sequence of red/green lines means that the market is choppy
Currently, I'm using it with cryptocurrencies to assess if the short term price action.
How it works:
the indicator calculates the DPO (default 21 periods) and its HMA (default 200 periods) and EMA (default 200 periods) and shows if the DPO is above both HMA and SMA (indicator line above 0 and green), below both (indicator line below 0 and red) or between (the indicator line and the colour are not matching: e.g. red line above the zero or green line below zero). the latter is the classic situation of a choppy market or a possible short term reversal.
The aim of this indicator is to find a good entry point for long/short positions.
I'm still testing and improving it, please
let me know in the comments if you find this useful. Cheers!
Bollinger Band Color BarsThis is a simple addition to the built in Bollinger Bands script. All it does is replaces the traditional plotting of Bollinger Bands with color bars.
Bitcoin Estimated Transaction FeeThis is the estimated fee you can expect to pay to have your bitcoin transaction confirm in 1 block. The estimation is derived from the daily total revenue miners received divided by the daily total number of transactions.
An option to change to a different currency is provided.
Notes on transaction fees:
Most exchanges do not provide an option to change the fee amount, and charge a static fee. A notable exception is Deribit.
The newer Bech32 wallet format, also known as native or SegWit, use a lower fee for the same transaction as legacy addresses. The addresses start with "bc1".
Mania was $60 USD to move bitcoin to an exchange you've only just heard of to buy a different coin with funny name :)
DD_ScalpDD_Scalp is a buy/sell trading strategy based on momentum from breakout levels. It works well on 1D and 4H timeframes. It is a helpful indicator for scalping short range profits on a daily basis or for booking profits in a high time frame setups such as those given by my DD_Echo indicator. It works for all major cryptos such as BTC, ETH, LINK, and other alts. It also works for forex.
If you want to access this, please DM me.
Mayer MultipleThe script implements a custom version of the Mayer multiple and it may be useful for analyzing the price of Bitcoin in a historical context.
Note n.1: Mayer multiple does not tell whether to buy, sell or hold, but highlights the best long-term area when the bitcoin price is below a threshold value (2.4).
Note n.2: the threshold value (2.4) has been determined in the past by simulations performed.
The script user may decide whether to use the shown graph or another graph for the calculation of the Mayer multiple.
The script is very easy to use and it is possible to change the following parameters:
the period of SMA (default value is 200)
the threshold (default value 2.4)
Show or not the sell area
Use or not the shown graph to calculate the Mayer multiple (default value is true)
name of exchange to use for calculation of the Mayer multiple (default value is BNC)
name of chart to use for calculation of the Mayer multiple (default value is BLX)
Profits Unlimited Pro Strategy** This is the backtesting (strategy) version of ~ Profits Unlimited Pro ~ proprietary script in TradingView. **
~ Profits Unlimited Pro Strategy ~
֎ Trading system script on tradingview that brings an easy approach to trading with a high profitability rate
֎ Our proprietary formula was developed over the course of the past two years through a combination of trial and error and algorithmic backtesting.
-- HOW IT WORKS --
֎ The algorithm starts with a proprietary script combining custom inputs with a formula that works with custom bollinger bands settings and specific RSI levels to results in deadly accurate signals for long and short entry points.
but that's not all...
֎ When we first developed our formula, we noticed that it produced a lot of accurate signals but also didn't fully understand the dynamics of market momentum and trending directions...
...so there were a lot of needless calls being made that were reducing profitability.
You see, most markets spend roughly 80% of the time trading sideways with no significant trend either up or down...
...And trading these sideways markets commonly result in what's called a "whipsaw"...
A whipsaw is when price is moving in one direction but then quickly pivots to move in the opposite direction resulting in a loss. And nobody wants to be stuck trading in a sideways market getting killed by whipsaws all day...
So what did we do to fix this?...
-- THE WINNING FORMULA --
֎ We added the Average Directional Index into our custom formula with a goal of teaching the algorithm to only trade during periods of strong momentum and trends whether up or down.
֎ We also added trend exhaustion levels to give clear indication for exit signals and help determine best times of getting out of a trade.
֎ Trend Exhaustion Levels work in conjunction with trailing stop loss % and both are customizable for ideal exits and profitability.
֎ The results are mind blowing!
-- WHO IT'S FOR --
֎ Optimized for crypto markets, to catch trend movements as soon as possible and maximize profitability
֎ It's A Swing Traders Dream.
-- What You Get --
֎ Sell & Buy alerts, Stop Loss alerts and always adding new features!
֎ Customizable settings.
֎ Chrome Extension in development for fine-tuning settings automatically(COMING SOON)
-You will be able to select an asset. push a button. and the extension will find the best settings for you!
֎ Users Facebook community for learning, sharing and direct support
If you’d like to test the trading script in TradingView, I can give you access to a 10 days trial.
Please send me PM in tradingview and I’ll activate it right away.
Thank you!
Companion::DivergentCompanion::Divergent is a combined indicators strategy optimized for Bitcoin Markets and tested on Bitfinex.
Mainly, it is an Ichimoku based strategy.
Used indicators:
- Ichimoku (displayed on chart): trendline analysis;
- Double Hull MA (displayed on chart): trendline analysis;
- MACD (not displayed): confirmative/momentum detection;
- CCI (not displayed): confirmative/momentum detection;
- ATR: used toghether with Ichimoku to determine Stop Loss/Take Profit levels;
- VWMA: For implementing trailing stop orders based on volumes.
What the script does:
- determines trendlines combining mulitple indicators;
- automaticlally calculates Take profit and Stop Loss levels;
- permits automation generating Autoview signals;
- supports for margin trading. Spot trading will be added in the future.
It can be used on 1D or 1H timeframes but it can be adapted for other time frames tweaking the parameters. I used it a lot on Bitfinex on 1H timeframes. Please check parameters: if you will use the strategy on D or higher timeframes, the "Legacy Chikou analysis" option should be checked.
BACKTESTING
Backtest is not leveraged. Defaults are set as follow:
Capital: 10000
Percent of equity used for trades: 10%
Commission: 0.18% this is Bitfinex commission on orders
Change them accordingly on how you trade to get a more realistic backtest results.
Micro Strategy PremiumSince the decision to buy 38,250 Bitcoin under their new treasury policy. Micro Strategy has become an easy and tax efficient way for many investors to gain an exposure to Bitcoin.
This script displays:
- Micro Strategy premium vs price of BTCUSD (CME)
- Micro Strategy premium vs price of BTCUSD (CME) minus Nasdaq 100 (QQQ ETF). A straightforward method to detach Micro Strategy’s share price from the overall performance of the US tech sector. This could potentially give you a more accurate premium.
- Micro Strategy’s 38,250 BTC as a percentage of their Market Cap
This script also acknowledges that Micro Strategy should be renamed “Macro Strategy” and that Michael Saylor is a living legend.