BEST Mayer MultipleHello traders
I'm not a HODLer by any means. I know when to sell (or I think I know....) when an asset starts going against me too much.
Even if it's a "long-term" investment.
My mentor used to telling me this: "If a short-term trade becomes a long-term investment, then you're in for a hell of a ride".
I have no clue if Bitcoin/BTC will go back up or not - I don't even care because I'm an intraday trader.
What if BTC was actually a way to accumulate more fiat? Satoshi fooled us
I coded this Mayer Multiple according to the specifications below. By the way, I'm a big fan of Willy Woo. I've been monitoring all his work since I learned about crypto (10 minutes ago.... it's a joke come on)
charts.woobull.com
Scaling
To respect the Mayer's multiple model, I recommend to select the Logarithmic scaling as shown below
imgur.com
What Mayer's model says
Using the reference below, the model says we're in the oversold zone. But, we can be in that zone for months/years...
When a model says an asset could bounce in a 1000-7000 USD range... well... I don't know how I would be able to perform optimally with that insight. This is very subjective and not a recommendation.
Mayer's Multiple model reference
All the BEST
Dave
חפש סקריפטים עבור "btc走势预测"
Crypto Multi Exchange Volume (CMEV)Crypto Multi Exchange Volume (CMEV) aggregates and plots trading volumes for supported cryptoasset pairs over multiple different cryptoasset exchanges. For developers looking for more information and for those who want to compile their own version of CMEV, please check out my GitHub (jakobpredin/crypto-multi-exchange-volume).
Configuration
CMEV comes with two configurable settings - whether base volume or quote volume is plotted and the length of the volume's EMA. By default, the base volume is used for plotting and the length of the EMA is set to 12 periods.
Use cases
The indicator was primarily developed in order to be able to chart using the trading pair with the longest available trading history. Due to the fast-changing preferences of where cryptoassets are traded, volumes tend to be very inconsistent and can give a distorted picture of a pairs history. For illustration, check out the SC-BTC pair from Poloniex using their native volume and compare it to the CMEV volume.
The other use case is to be able to spot divergences in volume. A great example here is bitcoin's 2019 rally where volumes from derivatives exchanges are at all time highs but volumes from retail/spot exchanges are not.
Supported exchanges
CMEV currently supports asset pairs from the following exchanges:
Binance
Bitfinex
Bitstamp
Bittrex
Coinbase
Gemini
Kraken
Poloniex
Limitations
Because of the fact that CMEV is pulling data from from multiple different exchanges and is computationally intensive it can take a couple of seconds to load while charting certain cryptoasset pairs.
Additionally, due to Tradingview's various limitations only a certain number of pairs can be supported at a time. By default, only pairs with a BTC or USD quote are supported and many non-unique pairs with consistently low trading volumes have been removed. For a full explanation, please refer to the docs in my GitHub (jakobpredin/crypto-multi-exchange-volume).
Future of the project
I plan on supporting pairs from more exchanges in the future as I see fit and as they become available for charting on Tradingview. Further, I may develop a strategy script using CMEV as its core indicator.
I welcome everybody from the community to help me extend the functionality of CMEV in order to make investing in cryptoassets more transparent for everybody.
Yope BTC virus channelThis is a new version of the BTC tops channel, combined with a fitted curve of the function described in Cane Island Crypto's paper "Bitcoin Spreads Like a Virus" by Timothy Peterson (pink curve).
The big question is: Where will BTC price go from here? will it follow either of both curves? Which one?
The blue channel is nothing more than a curve function that seems to "fit well" the historical prive of bitcoin, while the pink curve actually has some pretty solid theory behind it ;)
NOTE: This script only works with the BLX ticker and on the 1W, 3D and 1D time-frames!
Feedback and comments welcome.
Trade LightswitchThis script is a follow-up to the following script:
An analysis shows that when BTC relative monthly volume change of retail is greater than non-retail, non-ideal conditions exist to trade (i.e. do not trade). When the default background color is gray, stay out.
Trend is your friendThis indicator evaluates the trend based on crosses of two McGinley moving averages. It paints candles accordingly (it does not repaint), so you can see what the indicator is saying more clearly and stay in your trade until you see a period of consolidation or a reversal. You can control how far away those moving averages need to be for you to consider it a trend. If this distance is not met candles color is not changed and it shows you that the market is in a period of consolidation. I also added visualization of RSI, so you can have an easier time finding appropriate profit targets. For stop loss I would recommend placing it a couple points above or below the previous high / low that is located above / below you final target for entry. You can also use a certain percentage that works for you. I tried adding a stop loss based on ATR, but I did not like the results. Using market structure is a better choice in my opinion.
Here is a basic trading strategy for the default settings:
Wait for the indicator to start printing a series of green or red candles. After that you can enter a long or a short around moving averages. Another valid place to entry is the specific RSI zone. If we are in an uptrend buying when RSI is oversold can be beneficial as you expect market to recover. I do not recommend changing RSI from 14. Vice versa for the downtrend. It gives you an edge as you know at what price RSI will be oversold and allows you to place trades in advance. Pretty neat! You need to realize that no indicator or strategy can give you an exact entry. There will always be some margin of error. What I wanted to say is that if there is a strong trend up and you buy around your key moving averages and when RSI is oversold you entered in good places and there is a pretty good chance you will make money.
Time frame settings:
If you want to use tighter stop losses I would recommend sticking to 15m. Do not go lower. It is not worth the stress. 1h and 4h seems to be very good as well, but expect your stop losses to be wider. What I personally tend to do is display 15m, 30m and 1h and compare it. Think of it as a short, mid and long term. That way you can see things little bit better.
Examples:
1H chart BTC
4h chart EUR / USD
1D chart NASDAQ
15m chart BTC (Daytrading)
That last chart shows that even if you were longing while the trend was about to change you still had a good chance to close it with a little profit and switch to short easily. The default settings is what has worked the best for me. Feel free to change them as you see fit and do not forget to let me know if you find something that works better :)
Notes:
Either disable wick display or change it to a neutral color like gray for both green and red candles. Unfortunately pine script does not allow wick painting, so if you have red / green wicks it will look terrible. If RSI visualization makes your candles look too small you can go to settings and disable the display of individual RSI levels. You will still be able to see the zones, but the scale won't be affected.
RSI+STOCHRSI StrategyRSI + STOCHASTIC RSI combination . It is useful for 5 min charts .
Profitable in EOS/BTC and BTC/USDT , don't apply all cryptocurrency.
Volume Share - Bitcoin Retail % [cryptorae]I've been keeping my eyes on retail BTC trading volume as a % of total BTC trading volume (charted).
It's the single best chart showing the death of sentiment in this bear market. Retail fell to as low as 5.6% on 6/8. The good news is that the % has stabilized at these levels.
I think retail interest will need to trend higher in tandem with higher price moves for us to break through key resistance levels.
To know why, let's look closer at the anatomy of the recent bull and bear market.
In the 2017 bull market:
- Retail interest trended higher or sideways with each drive up
- Average retail volume share was ~46%
In other words, price movements were dominated by infusions of new money.
In the 2018 bear market:
- Retail interest trended LOWER with each recovery in price
- Average retail volume share was ~15%
In other words, price movements were dominated by money exchanging through the hands of traders.
Open thoughts:
- If the bear market persists and prices reach critical levels, I think that retail % would spike as some finally rush for the exit and new investors happily jump in
- If prices recover w/o a sustained increase in retail %, I'd not be so quick to call a bull market
Things I classify as "retail":
- Bitflyer
- Bithumb
- Coinbase
- Bistamp
- Kraken
Things classified as "non-retail"
- Bitmex
- Bitfinex
The formula is retail / (retail + non-retail)
The script is open for you to modify if you disagree. Let me know your thoughts/tweaks.
Crypto Market Change in BTC [Fingers]Crypto Market Change provides an indication of whether the value of a basket of 19 coins traded in BTC on Binance (as of July 12, 2018) are headed up or down. A simple moving average of the percentage change in BTC price for each coin is calculated. The moving averages are then summed and displayed. A measure of price volatility is indicated by standard deviation bands. Period, moving average length, and number of standard deviations are adjustable.
Crypto Market Change in BTC [Fingers]Crypto Market Change provides an indication of whether the value of a basket of 19 coins traded in BTC on Binance (as of July 12, 2018) are headed up or down. A simple moving average of the percentage change in BTC price for each coin is calculated. The moving averages are then summed and displayed. A measure of price volatility of indicated by standard deviation bands. Period, moving average length, and number of standard deviations are adjustable.
40 DOMINANT ALTCOINS BINANCEThis indicator is a combination of 40 different altcoins which are found on Binance exchange.
I have listed all Binance altcoins in the order of the oldest listed and the newest.
Due to limitations on TV for calling only 40 securities at the same time, I have limited myself with adding only the oldest ones (9+ months) and some 8+ to make up at least 40 for more data.
I have excluded BTC, BCC, ETH, USDT, BNB from list as these are the trading pairs.
I have some updates in mind and will try to add more options in coming months
Regularly updating 40 altcoins list by sorting them by market cap and available historical data from Binance
Adding Bitfinex, Bittrex and other exchanges separetly, as there is only 40 security call limit
Adding ETH; USDT pairs for all above exchanges.
You can add any indicator to this indicator - such as MACD, RSI, EMA and so on to help you analyse it more deeper
When you load this indicator, it takes about 1 min wait as it takes and calculates a lot of data. After it is loaded, it works perfectly.
Currently there is only 40 oldest altcoins to gather enough data, but as time passes, I will change some of them to create better picture of alt coins.
Please report any problems and give feedback.
Any idea of improvement is welcome and I will try my best.
Please support me an consider to give a small tip to addresses bellow. It would greatly help me to free more time for improvements as I am working to support family and my time is limited for markets.
ETH: 0xac290B4A721f5ef75b0971F1102e01E1942A4578
BTC: 39p3rKuJYKGqph1Qs35yEfNWoPvpUJBBcy
This will greatly help me to keep update this indicator and give me more time to analyse and sort out all altcoins my their market cap, volume and influence.
Mayer Multiple v2.0 - Klahr ThresholdThis is a simple update to the Mayer Multiple script by Unbound , which charts an indicator created by Trace Mayer and popularized by Preston Pysh.
The original post identified any price below 2.4x the 100-day MA as the BTC buy threshold. While the logic there is historically sound, it does not account for the fact that the BTC trend is parabolic in nature. With that in mind, I've attempted to update the 2.4x multiple to react based on the moving average of the Mayer Multiple itself. To do so, I simply found the number that, when added to the MM moving average, historically hit the 2.4x multiple during periods of low volatility. This turns out to be 1.17.
The green line represents the Klahr Threshold (is it obnoxious if I call it that? I've always wanted an indicator named after me). As you can see from the above chart, it hovers around 2.4x in late 2012 to early 2013, rises above it until mid 2014, and then stays below until 2016. It then stays almost exactly at 2.4x until April 2017, when it rises significantly above it for the first time since July 2014. The convergence in late 2012 and 2016-2017 is what leads me to believe that this should be the basis for the updated threshold.
It's entirely possible that there's a more robust method of calculating a reactive threshold (or a different number that should be added to the multiple's MA), but I think this is a good first step in refining the multiple to withstand the test of time.
Altcoin Market Share vs ETH/BTCIdea from x.com on X
Each colored line represents the percentage share of different altcoin baskets (excluding stablecoins) or ETH relative to either the ETH or BTC market cap (can add more, e.g. SOL or create different dashboards with Memes, AI, DeFi, you name it)
I know: At first glance, this may seem noisy and complex, but it all depends on the questions you want to answer. Once you define those, much of the noise becomes irrelevant, allowing you to simplify the analysis and focus only on what matters to you. What I’ve done here is provide a few initial insights that I found useful (will isolate a couple of them in future).
This analysis doesn’t tell you which specific coins to buy, but rather provides a broad market overview as a foundation. It helps guide you toward areas of relative strength or weakness.
I’ve included a lot of information here, but the key is to extract the signal from the noise by asking the right questions, for example: At what point do altcoins become overvalued or undervalued against Ethereum? However, when asking these questions, it's important to remember that an overvaluation or undervaluation of Ethereum relative to altcoins tells you little about its valuation against Bitcoin or USD. These are separate questions further down the process.
Multi CEX BTC Spot vs Perpetual PremiumThis Indicator shows the BTC Spot vs Perpetual premium across different CEX.
BTC_News_2025Library "BTC_News_2025"
This library contains the tooltips used in the script "Bitcoin History Events (BTC Story)"
V1 News from January to May
tt_020125()
tt_070125()
tt_200125()
tt_270125()
tt_300125()
tt_030225()
tt_260225()
tt_240225()
tt_020325()
tt_030325()
tt_090325()
tt_110325()
tt_190325()
tt_280325()
tt_310325()
tt_020425()
tt_060425()
tt_090425()
tt_150425()
tt_190425()
tt_220425()
tt_050525()
tt_080525()
tt_130525()
tt_200525()
tt_220525()
Lukiano BTC 369 Close MarkerThis indicator highlights candles where the closing price reduces to 3, 6, or 9 based on digital root calculation (sum of digits).
🔵 Blue dot = 3
🟢 Green dot = 6
🔴 Red dot = 9
Inspired by Tesla’s 369 theory and adapted for BTC traders who want to explore alternative energy-based signals.
Created by @Lukiano
Ultimate T3 Fibonacci for BTC Scalping. Look at backtest report!Hey Everyone!
I created another script to add to my growing library of strategies and indicators that I use for automated crypto trading! This strategy is for BITCOIN on the 30 minute chart since I designed it to be a scalping strategy. I calculated for trading fees, and use a small amount of capital in the backtest report. But feel free to modify the capital and how much per order to see how it changes the results:)
It is called the "Ultimate T3 Fibonacci Indicator by NHBprod" that computes and displays two T3-based moving averages derived from price data. The t3_function calculates the Tilson T3 indicator by applying a series of exponential moving averages to a combined price metric and then blending these results with specific coefficients derived from an input factor.
The script accepts several user inputs that toggle the use of the T3 filter, select the buy signal method, and set parameters like lengths and volume factors for two variations of the T3 calculation. Two T3 lines, T3 and T32, are computed with different parameters, and their colors change dynamically (green/red for T3 and blue/purple for T32) based on whether the lines are trending upward or downward. Depending on the selected signal method, the script generates buy signals either when T32 crosses over T3 or when the closing price is above T3, and similarly, sell signals are generated on the respective conditions for crossing under or closing below. Finally, the indicator plots the T3 lines on the chart, adds visual buy/sell markers, and sets alert conditions to notify users when the respective trading signals occur.
The user has the ability to tune the parameters using TP/SL, date timerames for analyses, and the actual parameters of the T3 function including the buy/sell signal! Lastly, the user has the option of trading this long, short, or both!
Let me know your thoughts and check out the backtest report!
Ultimate Stochastics Strategy by NHBprod Use to Day Trade BTCHey All!
Here's a new script I worked on that's super simple but at the same time useful. Check out the backtest results. The backtest results include slippage and fees/commission, and is still quite profitable. Obviously the profitability magnitude depends on how much capital you begin with, and how much the user utilizes per order, but in any event it seems to be profitable according to backtests.
This is different because it allows you full functionality over the stochastics calculations which is designed for random datasets. This script allows you to:
Designate ANY period of time to analyze and study
Choose between Long trading, short trading, and Long & Short trading
It allows you to enter trades based on the stochastics calculations
It allows you to EXIT trades using the stochastics calculations or take profit, or stop loss, Or any combination of those, which is nice because then the user can see how one variable effects the overall performance.
As for the actual stochastics formula, you get control, and get to SEE the plot lines for slow K, slow D, and fast K, which is usually not considered.
You also get the chance to modify the smoothing method, which has not been done with regular stochastics indicators. You get to choose the standard simple moving average (SMA) method, but I also allow you to choose other MA's such as the HMA and WMA.
Lastly, the user gets the option of using a custom trade extender, which essentially allows a buy or sell signal to exist for X amount of candles after the initial signal. For example, you can use "max bars since signal" to 1, and this will allow the indicator to produce an extra sequential buy signal when a buy signal is generated. This can be useful because it is possible that you use a small take profit (TP) and quickly exit a profitable trade. With the max bars since signal variable, you're able to reenter on the next candle and allow for another opportunity.
Let me know if you have any questions! Please take a look at the performance report and let me know your thoughts! :)
Price in BTC (x1000)I'm not a coder. I just knocked this together with AI
Shows how the current asset performed relative to BTC (COINBASE:BTCUSD) on the current timeframe
Works with assets priced in USD, USDT and USDC but you can easily add more
Had to multiply the price by 1000 to mitigate leading zeros and improve compatibility with low-denomination assets (e.g. PEPE)
MAs and crossovers included
Feel free to use it however you want
Cash and Carry: Annualized BTC Basis (Parametric)This indicator calculates the annualized BTC basis (premium or discount) between a specified futures contract and a given spot symbol. You can customize the spot ticker, the futures ticker, and the exact expiration date/time. As time moves toward expiration, the annualized yield (basis) will adjust accordingly. Ideal for monitoring potential arbitrage or cash-and-carry opportunities!
Crypto Volatility Bitcoin Correlation Strategy Description:
The Crypto Volatility Bitcoin Correlation Strategy is designed to leverage market volatility specifically in Bitcoin (BTC) using a combination of volatility indicators and trend-following techniques. This strategy utilizes the VIXFix (a volatility indicator adapted for crypto markets) and the BVOL7D (Bitcoin 7-Day Volatility Index from BitMEX) to identify periods of high volatility, while confirming trends with the Exponential Moving Average (EMA). These components work together to offer a comprehensive system that traders can use to enter positions when volatility and trends are aligned in their favor.
Key Features:
VIXFix (Volatility Index for Crypto Markets): This indicator measures the highest price of Bitcoin over a set period and compares it with the current low price to gauge market volatility. A rise in VIXFix indicates increasing market volatility, signaling that large price movements could occur.
BVOL7D (Bitcoin 7-Day Volatility Index): This volatility index, provided by BitMEX, measures the volatility of Bitcoin over the past 7 days. It helps traders monitor the recent volatility trend in the market, particularly useful when making short-term trading decisions.
Exponential Moving Average (EMA): The 50-period EMA acts as a trend indicator. When the price is above the EMA, it suggests the market is in an uptrend, and when the price is below the EMA, it suggests a downtrend.
How It Works:
Long Entry: A long position is triggered when both the VIXFix and BVOL7D indicators are rising, signaling increased volatility, and the price is above the 50-period EMA, confirming that the market is trending upward.
Exit: The strategy exits the position when the price crosses below the 50-period EMA, which signals a potential weakening of the uptrend and a decrease in volatility.
This strategy ensures that traders only enter positions when the volatility aligns with a clear trend, minimizing the risk of entering trades during periods of market uncertainty.
Testing and Timeframe:
This strategy has been tested on Bitcoin using the daily timeframe, which provides a longer-term perspective on market trends and volatility. However, users can adjust the timeframe according to their trading preferences. It is crucial to note that this strategy does not include comprehensive risk management, aside from the exit condition when the price crosses below the EMA. Users are strongly advised to implement their own risk management techniques, such as setting appropriate stop-loss levels, to safeguard their positions during high volatility periods.
Utility:
The Crypto Volatility Bitcoin Correlation Strategy is particularly well-suited for traders who aim to capitalize on the high volatility often seen in the Bitcoin market. By combining volatility measurements (VIXFix and BVOL7D) with a trend-following mechanism (EMA), this strategy helps identify optimal moments for entering and exiting trades. This approach ensures that traders participate in potentially profitable market moves while minimizing exposure during times of uncertainty.
Use Cases:
Volatility-Based Entries: Traders looking to take advantage of market volatility spikes will find this strategy useful for timing entry points during market swings.
Trend Confirmation: By using the EMA as a confirmation tool, traders can avoid entering trades that go against the trend, which can result in significant losses during volatile market conditions.
Risk Management: While the strategy exits when price falls below the EMA, it is important to recognize that this is not a full risk management system. Traders should use caution and integrate additional risk measures, such as stop-losses and position sizing, to better manage potential losses.
How to Use:
Step 1: Monitor the VIXFix and BVOL7D indicators. When both are rising and the Bitcoin price is above the EMA, the strategy will trigger a long entry, indicating that the market is experiencing increased volatility with a confirmed uptrend.
Step 2: Exit the position when the price drops below the 50-period EMA, signaling that the trend may be reversing or weakening, reducing the likelihood of continued upward price movement.
This strategy is open-source and is intended to help traders navigate volatile market conditions, particularly in Bitcoin, using proven indicators for volatility and trend confirmation.
Risk Disclaimer:
This strategy has been tested on the daily timeframe of Bitcoin, but users should be aware that it does not include built-in risk management except for the below-EMA exit condition. Users should be extremely cautious when using this strategy and are encouraged to implement their own risk management, such as using stop-losses, position sizing, and setting appropriate limits. Trading involves significant risk, and this strategy does not guarantee profits or prevent losses. Past performance is not indicative of future results. Always test any strategy in a demo environment before applying it to live markets.
Atlantean Bitcoin Weekly Market Condition - Top/Bottom BTC Overview:
The "Atlantean Bitcoin Weekly Market Condition Detector - Top/Bottom BTC" is a specialized TradingView indicator designed to identify significant turning points in the Bitcoin market on a weekly basis. By analyzing long-term and short-term moving averages across two distinct resolutions, this indicator provides traders with valuable insights into potential market bottoms and tops, as well as the initiation of bull markets.
Key Features:
Market Bottom Detection: The script uses a combination of a simple moving average (SMA) and an exponential moving average (EMA) calculated over long and short periods to identify potential market bottoms. When these conditions are met, the script signals a "Market Bottom" label on the chart, indicating a possible buying opportunity.
Bull Market Start Indicator: When the short-term EMA crosses above the long-term SMA, it signals the beginning of a bull market. This is marked by a "Bull Market Start" label on the chart, helping traders to prepare for potential market upswings.
Market Top Detection: The script identifies potential market tops by analyzing the crossunder of long and short-term moving averages. A "Market Top" label is plotted, suggesting a potential selling point.
Customizable Moving Averages Display: Users can choose to display the moving averages used for detecting market tops and bottoms, providing additional insights into market conditions.
How It Works: The indicator operates by monitoring the interactions between the specified moving averages:
Market Bottom: Detected when the long-term SMA (adjusted by a factor of 0.745) crosses over the short-term EMA.
Bull Market Start: Detected when the short-term EMA crosses above the long-term SMA.
Market Top: Detected when the long-term SMA (adjusted by a factor of 2) crosses under the short-term SMA.
These conditions are highlighted on the chart, allowing traders to visualize significant market events and make informed decisions.
Intended Use: This indicator is best used on weekly Bitcoin charts. It’s designed to provide long-term market insights rather than short-term trading signals. Traders can use this tool to identify strategic entry and exit points during major market cycles. The optional display of moving averages can further enhance understanding of market dynamics.
Originality and Utility: Unlike many other indicators, this script not only highlights traditional market tops and bottoms but also identifies the aggressive start of bull markets, offering a comprehensive view of market conditions. The unique combination of adjusted moving averages makes this script a valuable tool for long-term Bitcoin traders.
Disclaimer: The signals provided by this indicator are based on historical data and mathematical calculations. They do not guarantee future market performance. Traders should use this tool as part of a broader trading strategy and consider other factors before making trading decisions. Not financial advice.
Happy Trading!
By Atlantean
