SOFEX High-End Indicators + BacktestingBINANCE:BTCUSDT.P BINANCE:ETHUSDT.P
Introducing the first publicly available suite of indicators for Bitcoin and Ethereum by Sofex - the High-End Indicators & Backtesting System.
🔬 Trading Philosophy
The High-End Indicators & Backtesting system offers both trend-following and mean-reversal algorithms to provide traders with a deep insight into the highly volatile cryptocurrency markets, known for their market noise and vulnerability to manipulation.
With these factors in mind, our indicators are designed to sidestep most potentially false signals. This is facilitated further by the "middle-ground" time frame (1 Hour) we use. Our focus is on the two largest cryptocurrencies: Bitcoin and Ethereum , which provide high liquidity, necessary for reliable trading.
Therefore, we recommend using our suite on these markets.
The backtesting version of the Sofex High-End Indicators includes mainly trend-following indicators. This is because our trading vision is that volatility in cryptocurrency markets is a tool that should be used carefully, and many times avoided. Furthermore, mean-reversal trading can lead to short-term profits, but we have found it less than ideal for long-term trading.
The script does not aim to make a lot of trades, or to always remain in a position and switch from long to short. Many times there is no direction and the market is in "random walk mode", and chasing trades is futile.
Based on our experience, it is preferable if traders remain neutral the majority of the time and only enter trades that can be exited in the foreseeable future. Trading just for the sake of it ultimately leads to loss in the long-run.
Expectations of performance should be realistic.
We also focus on a balanced take-profit to stop-loss ratio. In the default set-up of the script, that is a 2% : 2% (1:1) ratio. A relatively low stop loss and take profit build onto our idea that positions should be exited promptly. There are many options to edit these values, including enabling trailing take profit and stop loss. Traders can also completely turn off TP and SL levels, and rely on opposing signals to exit and enter new trades.
Extreme scenarios can happen on the cryptocurrency markets, and disabling stop-loss levels completely is not recommended. The position size should be monitored since all of it is at risk with no stop-loss.
We take pride in presenting this comprehensive suite of trading indicators, designed for both manual and automated use. Although automated use leads to increased efficiency, traders are free to incorporate any of our indicators into their own manual trading strategy.
⚙️ Indicators
By default, all indicators are enabled for both Long and Short trades.
Extreme Trend Breakouts
The Extreme Trend Breakouts indicator seeks to follow breakouts of support and resistance levels, while also accounting for the unfortunate fact that false signals can be generated on these levels. The indicator combines trend-breakout strategies with various other volatility and direction measurements. It works best in the beginning of trends.
Underpinning this indicator are renowned Perry Kaufman's Adaptive Moving Averages (PKAMA) alongside our proprietary adaptive moving averages. These dynamic indicators adjust their parameters based on recent price movements, attempting to catch trends while maintaining consistent performance in the long run.
In addition, our modification of the TTM Squeeze indicator further enhances the Extreme Trend Breakouts indicator, making it more responsive, especially during the initial stages of trends and filtering of "flat" markets.
High-Volatility Trend Follower
The High-Volatility Trend Follower indicator is based around the logic of evading market conditions where volatility is low (choppy markets) and aggressively following confirmed trends. The indicator works best during strong trends, however, it has the downside of entering trades at trend tops or bottoms.
This indicator also leverages our proprietary adaptive moving averages to identify and follow high-volatility trends effectively. Furthermore, it uses the Average Directional Index, Aroon Oscillator, ATR and a modified version of VWAP, to categorize trends into weak or strong ones. The VWAP indicator is used to identify the monetary (volume) inflow into a given trend, further helping to avoid short-term manipulations.
Low-Volatility Reversal
The Low-Volatility Reversal aims at plugging the holes that trend-following indicators ignore. It specifically looks for choppy markets. Using proven concepts such as Relative Strength Index and volume measurements, among others, this indicator finds local tops and bottoms with good accuracy. It works best in choppy markets with low to medium volatility. It has a downside that all reversals have, losing trades at the end of choppy markets and in the beginning of big trends.
This indicator, like the others, employs PKAMA in conjunction with our proprietary adaptive moving averages, and an Average PSAR indicator to seek out "sideways" markets. Furthermore, Bollinger Bands with an adaptive basis line is used, with the idea of trading against the short-term trends by looking at big deviations in price movement. The above mentioned indicators attempt to catch local tops and bottoms in markets.
Adaptive Trend Convergence
The Adaptive Trend Convergence aims at following trends while avoiding entering positions at local bottoms and tops. It does so by comparing a number of adaptive moving averages and looking for convergence among them. Adaptive filtering techniques for avoiding choppy markets are also used.
This indicator utilizes our proprietary adaptive moving averages, and an Average Price Range indicator to identify trend convergence and divergence effectively, preventing false signals during volatile market phases. It also makes use of Bollinger Bands with an adaptive moving average basis line and price-action adjusted deviation. Contrasting to the Low-Volatility Reversal condition described above, the Bollinger Bands used here attempt to follow breakouts outside of the lower and upper bands.
Double-Filtered Channel Breakouts
The Double-Filtered Channel Breakouts indicator is made out of adaptive channel-identifying indicators. The indicator then follows trends that significantly diverge from the established channels. This aims at following extreme trends, where rapid, continuous movements in either direction occur. This indicator works best in very strong trends and follows them relentlessly. However, these strong trends can end in strong reversals, and the indicator can be stopped out on the last trade.
Our Double-Filtered Channel Breakouts indicator is built on a foundation of adaptive channel indicators. We've harnessed the power of Keltner Channels and Bollinger Band Channels, with a similar approach used in the Adaptive Trend Convergence indicator. The basis and upper/lower bands of the channels do not rely on fixed deviation parameters, rather on adaptive ones, based on price action and volatility. This combination seeks to identify and follows extreme trends.
Direction Tracker
The Direction Tracker indicator is made out of a central slower, adaptive moving average that clearly recognizes global, long-term trends. Combined with direction and range indicators, among others, this indicator excels at finding the long-term trend and ignoring temporary pullbacks in the opposite direction. It works best at the beginning and middle of long and strong trends. It can fail at the end of trends and on very strong historical resistance lines (where sharp reversals are common).
Our Direction Tracker indicator integrates an adaptive SuperTrend indicator into its core, alongside our proprietary adaptive moving averages, to accurately identify and track long-term trends while mitigating temporary pullbacks. Furthermore, it uses Average True Range, ADX and other volatility indicators to attempt to catch unusual moves on the market early-on.
📟 Parameters Menu
To offer traders flexibility, our system comes with a comprehensive parameter menu:
Preset Selection : Choose between Bitcoin or Ethereum presets to tailor the indicators to your preferred cryptocurrency market.
Global Signal Direction: Set the global signal direction as Long, Short, or Both, depending on your trading strategy.
Global Sensitivity Parameter : Adjust the system's sensitivity to adapt to different trend-following conditions, particularly beneficial during higher-strength trends.
Source of Signals : Toggle individual indicators on or off according to your preference. By default, all indicators are enabled. Customize the indicators to trade Long, Short, or Both, aligning them with your desired market exposure.
Confirmation of Signals : Set the minimum number of confirmed signals on the same bar, ensuring signals are generated only when specific confirmation criteria are met. The default value is one, and it can be adjusted for both Long and Short signals.
Exit of Signals : You have options regarding Take-Profit (TP) and Stop-Loss (SL) levels. Enable TP/SL levels to exit trades at predetermined levels, or disable them to rely on direction changes for exits. Be aware that removing stop losses can introduce additional risk, and position sizing should be carefully monitored.
By enabling Trailing TP/SL, the system switches to a trailing approach, allowing you to:
- Place an initial customizable SL.
- Specify a level (%) for the Trailing SL to become active.
- When the activation level is reached, the system moves the trailing stop by a given Offset (%).
Additionally, you can enable exit at break-even, where the system places an exit order when the trail activation level is reached, accounting for fees and slippage.
Alert Messages : Define the fields for alert messages based on specific conditions. You can set up alerts to receive email, SMS, and in-app notifications. If you use webhooks for alerts, exercise caution, as these alerts can potentially execute trades without human supervision.
Backtesting : Default backtesting parameters are set to provide realistic backtesting performance:
- 0.04% Commission per trade (for both entries and exits)
- 3 ticks Slippage (highly dependent on exchange)
- Initial capital of $1000
- Order size of $1000
While the order size is equal to the initial capital, the script employs a 2% stop-loss order to limit losses and attempts to prevent risky trades from creating big losses. The order size is a set dollar value, so that the backtesting performance is linear, instead of using % of capital which may result in unrealistic backtesting performance.
Risk Disclaimer
Please be aware that backtesting results, while valuable for statistical overview, do not guarantee future performance in any way. Cryptocurrency markets are inherently volatile and risky. Always trade responsibly and do not risk more than you can afford to lose.
Ethereum (Cryptocurrency)
Swing Algo V1.4◆ Introduction
The latest version of the Swing Algo features a complementary system consisting of two internal swing trading logics: an enhanced Swing Algo V1.3 and a secondary control engine to stabilize the overall strategy behaviour in times of increased market chop. Both algorithms feature different averaging lines as well as oscillators, leading to a higher strategy diversification for swing trading as well as a reduced maximum drawdown in comparison to each stand-alone strategy.
While the Swing Algo V1.x series so far featured a single trend-following swing algorithm for each release, where one just switches between Long and Short trades based on one general logic, here two strategies, which act independently of each other, are applied. Due to this, we introduce a third position a trader can be in: the Hedge. The overall logic is as follows:
When both sub-logics are Long, the overall strategy is Long.
When both sub-logics are Short, the overall strategy is Short.
When one sub-logic is Long and the other is Short, the overall strategy is in a Hedge position. It doesn't matter which component is Short and which is Long.
As PineScript doesn't currently offer a real steady hedging-function for two competing swing trading sub-logics (in the sense of a continuously applied Hedge state after hedging conditions are met at least once for an entry), a workaround via position closes was created for this release. For each new internal sub-signal, the overall strategy changes its state (Long/Short/Hedge) visibly on the chart, and the trader can adjust their position accordingly.
For detailed differences to previous Swing Algo V1.x releases, see further below.
◆ Purpose of this Script
This indicator will give Long, Short and Hedge signals on the chart that can be used for e.g. swing trading. Each of the aforementioned sub-logics uses a combination of several (custom) functions and rules to find good entry points for trend trading. After many iterations and tests I came up with this particular setup, which is highly optimized for the ETH/USD trading pair on the daily (D) timeframe.
Attention was also paid to stability, as all parameters are set onto plateaus, so that smaller changes in the characteristic price action should not affect the efficiancy too much, done as an attempt to reduce overfitting as much as possible. Additionally this dual algorithm system is specifically designed to have a safety net: should for the unlikely scenario one swing trading algorithm not trigger at a certain mid-term reversal point, the probability is high that the other will trigger, resulting in an overall hedged position (so that no money is lost in the meantime) until the first algorithm can rejoin at the next mid-term trend change.
For other assets and/or timeframes it is in principle possible to change algorithmic parameters within the indicator settings to tune the swing algorithms, though it is strongly recommended to use the standard asset and timeframe mentioned above.
◆ Viability
For the here presented backtest data, we omitted the biggest portion of the cryptocurrency bullrun in 2017 (starting only at 1st July 2017) so that the results become more realistic for long-term swing traders (investing at least 2-4 years into trading) if such large runs do not happen again. As cryptocurrencies like Ethereum are still to this date capable of doing comparatively smaller runs of about 2-3x in a few weeks/months during accumulation phases (as witnessed e.g. in 2020 and more recently in 2023) and bigger runs during bullmarkets (as witnessed in 2021), the quality of the shown results is still realistic for long-term trend trading efforts over several years, Note that very conservative trading parameters as mentioned below in "Forwardtesting and Backtesting" are used here.
Generally do not expect results in a matter of days or weeks, and of course as with any trading strategy past performances are not indicative of future results.
◆ Forwardtesting and Backtesting
The individual components have been back- and partially forwardtested: The first sub-logic is an advancement of Swing Algo V1.3, with which we have extensive experience running back to October 2020 for its release, while the secondary control strategy, which was privately published for DeanTrader members as a stand-alone script on TradingView in June 2022 and was running in the background since then, is showing good & expected behaviour so far.
While this does not mean that fowardtesting was performed specifically for the combined Swing Algo V1.4 system we have now (which cannot be done realistically considering the timeframes used, i.e. months and especially years), we can at least look at some considerable experience with the individual components. Then again, as I have implemented an exact hedging-function so that both sub-algorithms run independently from each other, it is not likely to see any unexpected behaviour resulting purely from the combination into one script.
For strategy backtesting you can choose the backtest time interval to test the performance of this algorithm for different time windows and different trading pairs. Here various backtesting parameters (e.g. trading fees) can be customized. Default settings for the shown backtest are a starting balance of $1000, a slippage of 20 ticks (= $0.20) and a trading fee of 0.05 % (which is the worst taker fee on the Kraken Pro futures exchange) to have realistic settings. However as we do not conduct many trades with this strategy, fees should not impact our performance too much. As long-term swing traders, we at DeanTrader generally devote one initial portion of our portfolio to swing trading and from then on always use 100% of this portion for the next trade to get the compounding starting. This is in difference to other trading styles which use various, often very small, percentage values for their short- or mid-term trades. Please note that for the here presented backtest only 10% of compounded equity is used for each successive trade to show an estimation for a lower risk & lower reward approach . Keep this in mind when evaluating the backtest data. You can set appropriate values for each backtest parameter in the "Properties" setting menu of the strategy, including the order size percentage of equity value for your trades. Also note that due to the small number of trades the statistical significance is low. It is not possible to gather an abundance of long-term trend signals in the order of hundreds or thousands trades, as much more time would have to pass for this in the case of rather new assets like Ethereum.
Additionally to the TradingView Strategy Tester you can also plot your equity directly on the chart to get a sense for the performance. For this you can also scale the equity graph to e.g. match the starting point of your equity with some price point on the chart to get a direct comparison to 'Buy & Hold' strategies over time.
This indicator (and all other content I provide) is no financial advice. If you use this indicator you agree to my Terms and Conditions which can be found on my website linked on my TradingView profile or in my signature.
◆ Visual Representation on the Chart
Shown below is a screenshot of how the chart looks like when the strategy is applied. Here we can see two different averaging lines, where each line belongs to one of the two sub-logics respectively. Note that this is not a MA-crossover strategy, and the crossing of the lines is not accounted for in the code at all and therefore has no effect on the strategy's signal output. Also note that the price scale is set on logarithmic.
The space between the lines is filled with a faint background color as a rough visual indicator. Magenta-colored fills indicate zones where only Short or Hedge signals can appear, while green-colored fills indicate zones where only Long or Hedge signals can appear. Gray-colored fills mark zones where only Hedge signals can appear, which also means that Hedge signals can appear in any zone. So treat those background fills more as a visual aid to roughly know what can happen next, but pay most attention to the actual signals (with arrows) that appear on the chart.
◆ Differences to Other Versions
Consists now of two competing sub-algorithms instead of just one algorithm. The new system outputs Long, Short and Hedge signals instead of just Long and Short signals.
The first sub-logic is the spiritual successor of the original Swing Algo V1.3 release, with a modified oscillator part.
The second sub-logic serves as a control algorithm (while still having equal rights in terms of strategy impact), newly introduced to the Swing Algo series, but already forwardtested for roughly a year at time of release.
Lowers risk significantly by diversifying swing trading strategies, so that for the rare scenario of a missed trend on one sub-algorithm, losses are prevented as the overall strategy is hedged during that time.
Lowers risk further as the maximum drawdown of the combined strategy is reduced by roughly 1/3 in comparison to each stand-alone strategy while almost retaining the same net profit over a 6-year backtest compared to the first, leading sub-logic.
No guesswork anymore when to use which short leverage (1x corresponding to a Hedge, or 2x corresponding to a Short with an asset-value-change-to-gain-proportionality of -1) as it is clearly defined within the trading system via the displayed signals. In earlier Swing Algo versions, the short leverage for any particular Short signal had to be chosen by hand dependent on market sentiment, which required further market analysis, or was fixed at 2x, leading to less flexibility.
◆ Access
For access please contact me via DM on TradingView or via other channels (linked on my TradingView profile and in my signature).
Comparison with BTC (RSI)显示当前品种与BTC汇率对的RSI值
以此判断强势或弱势品种以及超买超卖
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Display the RSI value of the exchange rate between the current variety and BTC
Use this to determine strong or weak varieties, as well as overbought and oversold
Crypto Trend IndicatorThe Crypto Trend Indicator is a trend-following indicator specifically designed to identify bullish and bearish trends in the price of Bitcoin, and other cryptocurrencies. This indicator doesn't provide explicit instructions on when to buy or sell, but rather offers an understanding of whether the trend is bullish or bearish. It's important to note that this indicator is only useful for trend trading.
The band is a visual representation of the 30-day and 60-day Exponential Moving Average (EMA). When the 30-day EMA is above the 60-day EMA, the trend is bullish and the band is green. When the 30-day EMA is below the 60-day EMA, the trend is bearish and the band is red. When the 30-day EMA starts to converge with the 60-day EMA, the trend is neutral and the band is grey.
The line is a visual representation of the 20-week Simple Moving Average (SMA) in the daily timeframe. "Bull" and "Bear" signals are generated when the 20-day EMA is either above or below the 20-week SMA, in conjunction with a bullish or bearish trend. When the band is green and the 20-day EMA is above the 20-week SMA, a “Bull” signal emerges. When the band is red and the 20-day EMA is below the 20-week SMA, a “Bear” signal emerges. The 20-week SMA can potentially also function as a leading indicator, as substantial price deviations from the SMA typically indicate an overextended market.
While this indicator has traditionally identified bullish and bearish trends in various cryptocurrency assets, past performance does not guarantee future results. Therefore, it is advisable to supplement this indicator with other technical tools. For instance, range-bound indicators can greatly improve the decision-making process when planning for entries and exits points.
Cryptocurrency Market Sentiment v1.0Introduction:
Capable of observing the market sentiment of the cryptocurrency market
The relative status of BTC and altcoins
How it works:
1. The general uptrend process of the cryptocurrency market is BTC → ETH → high-cap altcoins → low-cap altcoins. When funds cannot push up BTC's market cap, funds gradually flow into smaller-cap altcoins until the upward trend ends.
2. Select ETH as the representative of altcoins, and understand the sentiment and current stage
3. Mathematical principle : divide the price of ETH by the price of BTC, and then apply it to the RSI formula .
How to use it:
1. Similar to the RSI indicator , when CMS enters the overbought zone, it represents an active altcoin market, a passionate market sentiment , and the end of the uptrend.
2. When CMS enters the oversold zone, it indicates the leading stage of BTC in the rising trend or the capital flow back to BTC in the declining process .
3. If CMS is at a low level, long positions should focus on altcoins, and short positions should focus on BTC, and vice versa.
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简单介绍:
能够观察加密市场市场情绪
BTC和寨币的相对状态
如何工作:
1、加密市场一般的上涨过程为 BTC → ETH → 大市值山寨 → 小市值山寨,当资金无法推动大市值的BTC上涨时,资金就会逐渐流向市值较小的山寨,直到一轮上涨结束。
2、选取ETH作为altcoins的代表,通过ETH与BTC的关系来了解加密市场的情绪和目前上涨的阶段。
3、数学原理:将ETH的价格/BTC的价格,随后将其带入RSI公式
如何使用:
1、与RSI指标类似,当cms进入超买时,代表寨币市场的活跃,市场情绪热烈,上涨进入尾声。
2、当cms进入超卖时,为上涨中BTC领涨的阶段或下降过程中资金回流BTC。
3、如果cms在低位,做多应关注altcoins,做空应关注btc,反之亦然。
ETH perpetual swaps volumeIndicator with aggregated volume for all the most actively traded ethereum perpetual swaps.
Can be denominated in either US dollars or the number of coins traded.
Can be displayed as stacked volume or an index that shows the percentage market share each contract has.
In the settings you can exclude any contract so that it only shows the individual and total volume of the markets you're interested in.
"Linear" or "inverse" refers to the type of perpetual swap contract it is.
Inverse contracts use coin margin, so in this case ETH.
Linear contracts use some type of dollar equivalent margin like USDT for example.
The margin is always specified for the linear contracts.
It's public and free for anyone to use.
Short Term Bubble RiskThis risk indicator uses the extension of the closing price to the 20W SMA and displays a color-coded risk oscillator. The higher the oscillator is, the greater the short-term risk and vice-versa. This indicator has historically worked well for estimating the short-term risk of Bitcoin and Ethereum on a weekly timeframe.
Customizable Moving Average RibbonThis indicator is a highly customizable moving average ribbon with some unique features.
This script can utilize multiple unique sources, including a non-repainting renko closing price. Renko charts focus solely on price movement and minimize the impacts of time and the extra noise time creates. Employing the renko close helps smooth out the MA ribbon. Insignificant price movements will not cause a change in the plotted lines of the indicator unless a new threshold is breached or a "brick" is created. This is highly useful for quickly identifying consolidation areas or overall flat price movement.
There are two methods for selecting the box size when utilizing the renko source. Box size is critical for the overall function and efficacy of the plots you will visually see with this indicator. Box size is set automatically using the Average True Range "ATR" or manually using the "Traditional" setting. The simplest way to determine a manual box size is to take the ATR of the given instrument and round it to the nearest decimal place. As an example, if the ATR for the asset is 0.18, you would round that number to 0.2 and utilize this as your traditional box size.
The MA ribbon contains eleven adjustable moving average lines. Users can choose to turn off as many as they would like. Users can also adjust the length of the individual moving averages and the source for all moving averages. There are nine types of moving averages to choose from for the ribbon. The MA options are:
Exponential Moving Average = 'EMA'
Double Exponential Moving Average= 'DEMA'
Triple Exponential Moving Average = 'TEMA'
Simple Moving Average = 'SMA'
Relative Moving Average = 'RMA'
Volume Weighted Moving Average = 'VWMA'
Weighted Moving Average = 'WMA'
Smoothed Simple Moving Average = 'SSMA'
Hull Moving Average = 'HULL'
We believe that the ribbons features, including the line color change, help quickly identify trends and give users optimum customization. Users can select from five different color schemes including:
Green/Red
Purple/White
White/Blue
Silver / Orange
Teal/ Orange
Price Distance RatioThis study plots the ratio between current price and the price N days ago.
With N input that is configurable, users can find optimal long/short entries when price is in an established trend and price has diverge far from a given local peak or all time high.
With many years of stock trading the analysis indicates a connection between the distance of price and subsequent returns.
Portfolios of stocks with lower price to local highes ratios generally underperformed portfolios of stocks with higher prices to peaks reached similar N days ago.
The highest returns to previous peak are recorded when buying at the biggest dip.
For example, the purchase at 20% drawdown could generate 25% when price returns to the peak. The purchase at 50% drawdown could generate bigger, i.e. 100% return, when price returns to the peak. And the purchase at 90% drawdown could generate much bigger, i.e. 900% return, in a case the price returns to the peak.
However, buying very far below local peaks on almost all holding periods produces lower CAGR returns because of "timing adjustment". In simple words, typically the drawdown takes less time vs. further recovery.
For example:
👉 The largest BTC drawdown in 2013-2015 took 410 days (Peak-to-Valley) . And the recovery of BTC to new highs took 771 days (Valley-to-Peak) after that.
👉 The 3rd longest drawdown in BTC took 363 days (observed from December 17, 2017 to December 15, 2018). And further recovery in BTC to its new high took almost two years - 716 days .
👉The 4th longest drawdown in BTC took 162 days (observed from June 08, 2011 to November 17, 2011). And further recovery in BTC to its new high took more than a year - 469 days .
The concept of this study could recognizes at least 4 different modes of action.
👉 In a clearly established upward trend traders should be buying (following the trend) when Ratio is above 100% and reducing the size when Ratio turns below 100%.
👉 Conversely, in a clearly established downward trend traders should be shorted when Ratio is below 100% and covering when the Ratio turns back to 100%.
👉 In a sideways movement traders are advised to wait carefully if the Ratio near 100% for a long time, and take a position the trend is clear.
👉 Chartists can analyze the dynamic of the indicator - both in terms of trends and overall level. For example as it shown at the chart.
The understading of the study and rules of "timing adjustments" could genarate the awesome opportunities for stock options traders also, with strategies of selling uncovered call options and vertical call spreads.
// Many thanks to @HPotter and @Wheeelman wizards for their continious support and assistance.
Stablecoins DominanceStablecoins Dominance
The purpose of the script is to show Stablecoin's strength in the crypto markets.
5 Largest Stablecoins divided by Total Market Cap
Altcoin Dominance (without ETH) Excluding Stablecoins UnsymetricAltcoin Dominance (without ETH) Excluding Stablecoins Unsymetric
The purpose of the script is to show Altcoin's strength without Ethereum once we exclude stablecoins.
So we look into all altcoins besides eth and besides stablecoins divided by a value of eth+btc
Altcoin Dominance Excluding EthereumAltcoin Dominance Excluding Ethereum
The purpose of the script is to show Altcoin's strength without Ethereum.
Pretty much shows Altcoin's Dominance in comparison to Market Cap once we exclude Ethereum.
ETH Dominance Excluding StablecoinsETH Dominance Excluding Stablecoins.
The purpose of the script is to show Ethereum's strength relative to other cryptocurrencies.
Pretty much shows ETH Dominance in comparison to Market Cap once we exclude the 5 largest stablecoins.
DXY Overlay CompareOverlays the DXY chart over the top of any other chart. When the dollar strength increases, asset prices can drop and vice versa. Was created personally to compare with the price of Bitcoin.
QT suppy demandV1.0 core functions: marking supply and demand areas, marking air decoy/multiple decoy signals, and displaying potential target positions in tables
1. What kind of indicator is this?
This is a practical trading indicator based on supply and demand, which combines many of my practical experience and marks the supply/demand area through complex and accurate calculation, so that you can better identify where the organization has orders, so that you can buy chips at a lower price and sell them to retail investors at a higher price
2. What is the relationship between supply and demand?
Demand: In terms of price, if the market falls short of demand, then the price will stop falling and start to rise
Supply: In terms of price, if the market is oversupplied, then the price will stop falling and begin to fall back
In short, the higher the price, the lower the demand. From the perspective of the seller, the higher the price, the higher the supply
3. What is the supply and demand area?
The supply and demand area is generally the place where the price is reversed, and the price reversal will generally occur in the area where the supply and demand are unbalanced, which is the entry point of the high profit loss ratio we are pursuing
4. Who is your opponent?
Retail price: the price close to or within the supply area is called retail price
Wholesale price: the price close to or within the demand area is called wholesale price
Retail investors generally buy at the "retail price" and sell at the "wholesale price", while professional traders do the opposite, so professional traders are often retail investors' opponents
Professional traders often buy back the chips of retail investors at the wholesale price, and then sell them to retail investors at the retail price
5. How to use this indicator?
: flat down, up flat down, down flat down
(1) Flat fall: yellow+red K line combination is the supply area flat fall combination, which belongs to bearish. Usually, this form requires confirmation of entry, that is, the price can only be sold after it enters this area and stops rising.
(2) Up and down: The combination of green+yellow+red K line is up and down in the supply area, which is bearish. Usually, the form in the pipe is only operational when it occurs at the inflection point of the reversal, or the position of the superimposed supply area can improve the success rate of selling.
(3) Falling flat: red+yellow+red K line combination is the supply area falling flat, which belongs to the bearish area. Usually, the reversal in the market is completed by rising flat falling+falling flat falling. Only those falling flat at the high or middle level have operating prices, and the success rate at the low level is slightly lower
: flat rise, falling flat rise, rising flat rise
(1) Flat rise: yellow+green K line combination is a flat rise in demand area, which is bullish. Usually, this form requires confirmation of entry, that is, the price can only be bought after it stops falling in this area.
(2) Falling flat and rising: red+yellow+green K line combination is a falling flat and rising demand area, which belongs to bullish. Usually, this form can achieve the best profit loss ratio at the low inflection point. Because its bit occurs during inversion.
(3) Inflation leveling: The combination of green+yellow+green K line is a demand area for inflation leveling, which belongs to the bullish. Usually, the neutral form will occur after the occurrence of inflation leveling. The transition from short to long also requires the completion of inflation leveling+inflation leveling, except for the case of negative V.
matters needing attention:
(1) Please do not trade in a large supply and demand area, because stop loss may exceed your risk tolerance.
(2) Please do not trade in a small supply and demand area because there may be very few orders.
(3) The K line leaving the supply and demand area is called the outgoing line. The outgoing line is the big positive line or the big negative line, which belongs to a very full entity. The success rate of the supply and demand area depends on the physical fullness of the outgoing line. The fuller the entity is, the higher the transaction success rate is, of course, it is not an absolute value.
So the core point of supply and demand is to find the demand area to be long and the supply area to be short, so as to ensure a high winning rate and a good profit loss ratio
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中文说明:
V1.0 核心功能:标记供给、需求区,标记诱空/诱多信号,表格显示潜在目标位
1、这是一个什么样的指标?
这是一个以供需为基础的实战型交易指标,里面结合了很多本人的实战经验,通过复杂且精确的计算,标记出供给/需求区域,让你更好的识别机构在哪里有订单,让你以更低的价格购买到筹码,然后以更高的价格卖给散户
2、什么是供求关系?
需求:从价格层面来讲,若市场出现供不应求,那么此时价格将会停止下跌并开始回升
供给:从价格层面来讲,若市场出现供过于求,那么此时价格将会停止下跌并开始回落
简单地说,价格越高,需求量越低,从卖方的角度来看,价格越高越供应量越高
3、什么是供需区?
供需区一般都是价格反转的位置,价格发生反转一般都会出现在供求不平衡的区域,也就是我们所追求的高盈亏比入场点位
4、谁是你的对手盘?
零售价:接近供给区或者供给区内的价格我们称之为零售价
批发价:接近需求区或者需求区内的价格我们称之为批发价
散户一般都会以“零售价”买入,以“批发价”卖出,而职业交易员则相反,所以职业交易员往往就是散户的对手盘
职业交易员常常以批发价回购散户的筹码,然后通过零售价卖给追涨的散户
5、如何使用这个指标?
【看跌形态】:平跌、涨平跌、跌平跌
(1)平跌:黄色+红色K线组合为供给区平跌组合,属于看跌。通常这种形态是需要确认入场的,就是价格在进入这个区域之后止涨才可以卖出。
(2)涨平跌:绿色+黄色+红色K线组合为供给区涨平跌,属于看跌。通常管中形态是出现在反转的拐点位置才有操作意义,或者是叠加的供给区位置才能提高卖出成功率。
(3)跌平跌:红色+黄色+红色K线组合为供给区跌平跌,属于看跌区域,通常市场上的反转都是由涨平跌+跌平跌完成的,跌平跌在高位或中位的才有操作价格,低位的成功率略人低
【看涨形态】:平涨、跌平涨、涨平涨
(1)平涨:黄色+绿色K线组合为需求区平涨,属于看涨。通常这种形态是需要确认入场的,就是价格在进入这个区域之后止跌才可以买入。
(2)跌平涨:红色+黄色+绿色K线组合为跌平涨需求区,属于看涨,通常这种形态在低位拐点位置交易盈亏比才能达到最好。因为它位都是发生在反转的时候。
(3)涨平涨:绿色+黄色+绿色K线组合为涨平涨需求区,属于看涨,通常和中形态是在出现跌平涨之后才会出现,由空头向多头转变也是需要完成跌平涨+涨平涨才能实现,当然V反的情况下除外。
注意事项:
(1)太大的供需区请不要交易,因为止损可能会超过你的风险承受范围。
(2)太小的供需区请不要交易,因为他里面的订单可能会非常少。
(3)离开供需区的K线我们称为出线,出线就是大阳线或大阴线,属于实体非常饱满,供需区的胜率取决于出线的实体饱满程度,实体越饱满交易成功率越高,当然它不是绝对值。
所以供需的核心要点就是,找到需求区做多,找到供给区做空,这样才能保证胜率高的同时盈亏比也很好
ETHUSDT Long-Short using EMA,OBV,ADX,LinearReg,DXY(No repaint)This script strategy is used to follow the trending EMA with a delta difference (Price-EMA) to know when to enter and with 5 variables mentioned below, stop loss is below EMA line all the time in long and above EMA line in short, is like a trailing stop after candle is closed. Hard stop is also placed to prevent big candles movements, also correlation between VIX and ETH when the correlation is <-0.2 the position can be opened.
Indicators used:
EMA , OBV , ADX , Linear regression and Dollar Index trending, Leverage is available for Long and Short positions.
LONG
When Price is above EMA and price-ema difference is smaller than "Long delta Price/MA"
OBV(4hrs) is above OBV-EMA(110)
Linear regression is strong
ADX is strong >50
DXY is trending down
SHORT
When Price is below EMA and ema-price difference is smaller than "Long delta Price/MA"
OBV(4hrs) is below OBV-EMA(110)
Linear regression is weak
ADX is weak <50
DXY is trending up
BINANCE:ETHUSDT 30 minutes Timeframe
Trend Following based on Trend ConfidenceThis is a Trend Following strategy based on the Trend Confidence indicator.
The goal of this strategy is to be a simple Trend Following strategy, but also to be as precise as possible when it comes to the question 'how confident are we that a linear trend is ongoing?'. For this we calculate the 'confidence' of a linear trend in the past number of closing prices. The idea of this strategy is that past a certain confidence, the ongoing linear trend is more likely to continue than not.
Trend Confidence:
The Trend Confidence shows us how strong of a linear trend the price has made in the past number (given by Length parameter) of closing prices. The steepness of the price change makes the Trend Confidence more extreme (more positive for an uptrend or more negative for a downtrend), and the deviation from a straight line makes the Trend Confidence less extreme (brings the confidence closer to 0). This way we can filter out signals by wild/sudden price moves that don't follow a clear linear trend.
Math behind the Trend Confidence:
A linear fit is made on the past number of closing prices, using Ordinary Linear Regression. We have the steepness of the linear fit: b in y=a+bx . And we have the standard deviation of the distances from the closing prices to the linear fit: sd . The Trend Confidence is the ratio b/sd .
Entries and Exits:
For entry and exit points we look at how extreme the Trend Confidence is. The strategy is based on the assumption that past a certain confidence level, the ongoing linear trend is more likely to continue than not.
So when the Trend Confidence passes above the 'Long entry" threshold, we go Long. After that when the Trend Confidence passes under the 'Long exit' threshold, we exit. The Long entry should be a positive value so that we go Long once a linear uptrend with enough confidence has been detected.
When the Trend Confidence passes below the 'Short entry' threshold, we go Short. After that when the Trend Confidence passes above the 'Short exit' threshold, we exit. The Short entry should be a negative value so that we go Short once a linear downtrend with enough confidence has been detected.
Default Parameters:
The strategy is intended for BTC-USD market, 4 hour timeframe. The strategy also works on ETH-USD with similar parameters.
The Length is arbitrarily set at 30, this means we look at the past 30 closing prices to determine a linear trend. Note that changing the length will change the range of Trend Confidence values encountered.
The default entry and exit thresholds for Longs and Shorts do not mirror each other. This is because the BTC-USD market goes up more heavily and more often than it goes down. So the ideal parameters for Longs and Shorts are not the same.
The positive results of the strategy remain when the parameters are slightly changed (robustness check).
The strategy uses 100% equity per trade, but has a 10% stop loss so that a maximum of 10% is risked per trade.
Commission is set at 0.1% as is the highest commission for most crypto exchanges.
Slippage is set at 5 ticks, source for this is theblock.co.
Wave Fusion By CryptoScriptsThe Wave Fusion indicator is finally here! This indicator is a combination of the Wave Strength Oscillator and RSVP Extractor. It used a combination of momentum waves, volume, price, RSI, and statistical analysis to help nail down whenever the current price is overextended and due for a reversal. I'm currently using the 1D timeframe for BTC but feel free to experiment on different timeframes to see what works best for you. In the description below, I'll go over each signal, how it's derived, and how to use them!
Oversold (Green shaded area) - The oversold indication appears whenever all oscillators are oversold and is usually a good indicator that a reversal to the upside is around the corner (at least for a short period). Be advised these are the weakest of the three signals so I recommend using this signal with other indicators (such as my MFI Pro).
Overbought (Red shaded area) - The overbought indication appears whenever all oscillators are overbought and is usually a good indicator that a reversal to the downside is around the corner (at least for a short period). Be advised these are the weakest of the three signals so I recommend using this signal with other indicators (such as my MFI Pro).
Green Diamond - The green diamonds indicate whenever one or more oscillators are oversold AND one or more oscillators are outside of the bollinger bands, which is great for catching reversals to the upside. These may come two or three at a time so it may be best to wait until they have all printed before entering.
Red Diamond - The red diamonds indicate whenever one or more oscillators are overbought AND one or more oscillators are outside of the bollinger bands which is great for catching reversals to the downside (as seen in the chart). These may come two or three at a time so it may be best to wait until they have all printed before entering.
Rocket - The rocket symbol occurs whenever ALL oscillators are oversold and one or more oscillators are outside of the bollinger bands . This is great for catching reversals to the upside but may come two or three at a time so it may be best to wait until they have all printed before entering.
Red Alarm - The red alarm symbol occurs whenever ALL oscillators are overbought and one or more oscillators are outside of the bollinger bands . This is great for catching reversals to the downside but may come two or three at a time so it may be best to wait until they have all printed before entering.
Moon - The Moon symbol occurs whenever ALL oscillators are oversold and ALL oscillators are outside of the bollinger bands . This is great for catching reversals to the upside but may come two or three at a time so it may be best to wait until they have all printed before entering.
Blood Moon - The red alarm symbol occurs whenever ALL oscillators are overbought and ALL oscillators are outside of the bollinger bands . This is great for catching reversals to the downside but may come two or three at a time so it may be best to wait until they have all printed before entering.
Strongest to Weakest Buy Signals - Moon --> Rocket --> Green Diamond --> Green Shaded Area
Strongest to Weakest Sell Signals - Blood Moon --> Red Alarm --> Red Diamond --> Red Shaded Area
Input Options
Show Histogram - I also included a Histogram in the indicator to help gauge the level of buys/sell strength but kept it hidden for the default levels (i.e a green diamond with a red histogram bar is usually a good sign a reversal is about to happen to the upside whereas a green diamond with a green histogram bar may indicate a false reversal and there's still more room to the downside until a red bar appears. Always backtest this!)
Show Overbought/Oversold Levels - This is if you want to ignore all of the green/red shaded areas and only focus on the diamonds and rocket/alarm signals
Wave Overbought/Oversold Levels - Free free to change to value of the overbought/oversold levels to change where the green/red shades areas print
Momentum Overbought/Oversold Levels - Free free to change to value of the overbought/oversold levels to change where the green/red shades areas print
Histogram Length - This will not change anything with the signals but I included it so you can change the visuals if it helps you
Momentum Length - This will change where the signals plot
Momentum Signal - This only changes the yellow signal line and nothing else. It's not incorporated into any equation
Average Length - This will change where the signals plot
Alerts
I've set alerts on this indicator for each icon (Oversold, Overbought, Green Diamond, Red Diamond, Rocket, Red Alarm, Moon , Blood Moon). I HIGHLY recommend setting the alerts for Candle Close so that you can be sure the signal is confirmed.
You may notice that the indicator can give multiple signals back-to-back or be overbought/oversold for multiple candles. When this happens, it's best to look at other indicators such as the MFI Pro, MACD, etc to nail the best entry and have confluence with your decision. With that said, having multiple signals back-to-back can also be an indication that the move is close to happening. This indicator works with crypto and stocks as well.
If you have any questions or would like to purchase this indicator, please comment below or PM me. I also made a video tutorial for the indicator on my Youtube channel (link is next to my profile pic)
Be advised past performance is not indicative of future returns. Backtest EVERY timeframe and NEVER blindly take signals! Also, never invest more than you can afford to lose.
Enjoy :)
Simple RSI and SMA Long and Short (by Coinrule)The relative strength index ( RSI ) is a momentum indicator used in technical analysis . RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The RSI can do more than point to overbought and oversold securities. It can also indicate securities that may be primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
A simple moving average ( SMA ) calculates the average of a selected range of prices, usually closing prices, by the number of periods in that range.
The Strategy enters and closes the trade when the following conditions are met:
LONG
SMA100 is greater than SMA150
RSI is greater than 50
SHORT
SMA100 is less than SMA150
RSI is less than 50
When a long position is opened, it remains open until the conditions for a short are met at which point the long position is closed and the short position is opened. Then, when the conditions for the long position are met, the short will be closed and a long will be opened.
This strategy is back tested from 1 January 2022 to simulate how the strategy would work in a bear market. The strategy provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
Catching the Bottom (by Coinrule)This script utilises the RSI and EMA indicators to enter and close the trade.
The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The RSI can do more than point to overbought and oversold securities. It can also indicate securities that may be primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
An exponential moving average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The exponential moving average is also referred to as the exponentially weighted moving average. An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average simple moving average (SMA), which applies an equal weight to all observations in the period.
The strategy enters and exits the trade based on the following conditions.
ENTRY
RSI has a decrease of 3.
RSI <40.
EMA100 has crossed above the EMA50.
EXIT
RSI is greater than 65.
EMA9 has crossed above EMA50.
This strategy is back tested from 1 April 2022 to simulate how the strategy would work in a bear market and provides good returns.
Pairs that produce very strong results include ETH on the 5m timeframe, BNB on 5m timeframe, XRP on the 45m timeframe, MATIC on the 30m timeframe and MATIC on the 2H timeframe.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
EMA and MACD with Trailing Stop Loss (by Coinrule)An exponential moving average ( EMA ) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The exponential moving average is also referred to as the exponentially weighted moving average. An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average simple moving average ( SMA ), which applies an equal weight to all observations in the period.
Moving average convergence divergence ( MACD ) is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-period exponential moving average ( EMA ) from the 12-period EMA.
The result of that calculation is the MACD line. A nine-day EMA of the MACD called the "signal line," is then plotted on top of the MACD line, which can function as a trigger for buy and sell signals. Traders may buy the security when the MACD crosses above its signal line and sell—or short—the security when the MACD crosses below the signal line. Moving average convergence divergence ( MACD ) indicators can be interpreted in several ways, but the more common methods are crossovers, divergences, and rapid rises/falls.
The Strategy enters and closes the trade when the following conditions are met:
LONG
The MACD histogram turns bearish
EMA7 is greater than EMA14
EXIT
Price increases 3% trailing
Price decreases 1% trailing
This strategy is back-tested from 1 January 2022 to simulate how the strategy would work in a bear market and provides good returns.
Pairs that produce very strong results include XRPUSDT on the 1-minute timeframe. This short timeframe means that this strategy opens and closes trades regularly
In order to further improve the strategy, the EMA can be changed from 7 and 14 to, say, EMA20 and EMA50. Furthermore, the trailing stop loss can also be changed to ideally suit the user to match their needs.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
Z.A.H.It's a scalping script, which can be used using Heikin Ashi candle on 5min time frame (I personally use it for BINANCE:BTCUSDT and BINANCE:ETHUSDT scalping).
We've tried to include SL and target (1.5R and 2R) in this as well, and it works well but sometimes (please note SOMETIMES..SOMETIMES, it can be few..few pips here and there)
Idea is simple, you take the trade based on the signal given by the script and place your SL as per the script and then target 1.5R for 80% of your position and 20% for the remaining 20% of your position.
One extra thing which I've found useful is, you can use Awesome Oscillator (default setting) as well for placing SLs. If you use this method for placing SL, then just place your SL at the last green awesome oscillator candle for shorts and at the last red awesome oscillator candle for longs. From there target 1.5R and 2R.
Overall results are same for either, so you can use it as per your convenience. For any query, you can send me a DM on discord or twitter.
RSI with Slow and Fast MA Crossing Strategy (by Coinrule)This strategy utilises 3 different conditions that have to be met to buy and 1 condition to sell. This strategy works best on the ETH/USDT pair on the 4-hour timescale.
In order for the strategy to enter the trade, it must meet all of the conditions listed below:
ENTRY
RSI increases by 5
RSI is lower than 70
MA9 crosses above MA50
To exit a trade, the below condition must be met:
EXIT
MA50 crosses above MA9
This strategy works well on LINK/USDT on the 1-day timeframe, MIOTA/USDT on the 2-hour timeframe, BTC/USDT on the 4-hour timeframe, and BEST/USDT on the 1-day timeframe (and 4h).
Back-tested from 1 January 2020.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
ETH spot volumeIndicator with aggregated volume for all the most actively traded ethereum spot markets.
Can be denominated in either US dollars or the number of coins traded.
Can be displayed as stacked volume or an index that shows the percentage market share each market has.
In the settings you can exclude any market so that it only shows the individual and total volume of the markets you're interested in.
The currency it's traded against is always specified (e.g. USDT, BUSD, ...).
It's public and free for anyone to use.