Munich's Momentum Wave V2MUNICH'S MOMENTUM WAVE VERSION 2 IS LIVE!!!
There are a few big things to note with this one.
I decided to upload this as an entirely new script due to the number of changes differing from the first version, but as the last one, this will still work on ANY TIMEFRAME, ANY ASSET CLASS, ANY PRICE! .
This momentum wave indicator now will give you data for when trend could turn, and two momentum indicators to help you decide when to take an entry.
First off,
*I have added an alma ma (alma) that will track momentum alongside price action and further lead the indicator consisting of the Munich waves.
* The background feature will track the price using a method derived from the Bollinger bands, after calculations, it will color the background based on the average of the momentum's ema's, the alma ma, and also the alma in comparison to the alma's value pre offset ( the offset is 3, following the basis).
*There are now 5 basis values given from the increase in ema samples.
If anyone has any questions feel free to pm me or comment below. Thank you guys for the support! :)
INDEX:BTCUSD TVC:NDQ AMEX:SPY BITSTAMP:ETHUSD BINANCE:BTCUSDT FX:USDJPY NASDAQ:AAPL
Bitcoin (Criptovaluta)
München's Momentum WaveMUNICH'S MOMENTUM WAVE:
This momentum tracker has features sampled from Madrid's moving average ribbon but has differentiated many values, parameters, and usage of integers. It is derived using momentum and then creates moving averages and mean lengths to help support the strength of a move in price action, and also has the key mean length that helps determine HL/LH or rejections into trend continuation. This indicator works on ALL TIME FRAMES, ALL ASSET CLASSES ON ALL SETTINGS!!
HOW DO I USE IT?
*First off, I have arranged the input settings into groups based on the parts of the indicator it affects.
*You want to use the aqua/white/yellow (Munich's line) as your leading indicator, this is a combined average of the MoM indicator.
* When using Munich's line you want to look at the relation to the mean line (the flat line that adjusts based on price action. You will often see rejections of this line into trend continuation. I personally have caught perfect LH/HL bounce trades off of this indicator.
* Use the Background and other colored moving averages to help pre-determine moves based on the -3 offset value of Munich's line. This was by design not to create 'accurate' results, but to help predict momentum swings based on sharper moves in price action better than if all values lined up to the current bar.
Cheat Code's Notes:
I hope you guys find this indicator to be useful, this is most likely the best indicator that I have written. Simply for the fact it is useful on any chart, any timeframe with any setting. If you guys have any issues with it, shoot me a pm or drop a comment. Thanks!
-CheatCode1
BINANCE:BTCUSDT BITSTAMP:ETHUSD BITSTAMP:BTCUSD PEPPERSTONE:JPYX TVC:DXY TVC:NDQ AMEX:SPY
Mean reversal QFL v3My aim is to make the bots trade as you would trading QFL manually and “by the book” or at least to my experience and understanding from the material out there of how you should plan a QFL trade.
Im absolutely not a pro trader, I have made my share of costly mistakes trying to be clever or Beeing impatient resulting in painful losses. QFL is we’re I’ve had consistently good results tough.
Is this where I have to say I’m not a financial advisor and all that? Well I’m not. As always Do your own research and backtest, backtest, backtest.
First: I believe no bot strategy are set and forget, while they can run unattended 80-90% of the time you're always going to find yourself in a situation where you will have to manually handle a bad deal. It would also make sense to be somewhat involved in the really good trades making the most out of them. That’s why understanding the strategy the bot Is using is really important, hence why I prefer QFL. It's an easy concept to understand, and proved to be a safe way of making steady profit in pretty much all market conditions if done right.
Some changes in how aggressive you are might be needed if you are the impatient kind of trader who needs to see a lot of deals happening. But it is an added risk. In those cases Luc would advise to start “nibbling” but that would be hard to implement in a bot but I will see if that’s something I can implement.
Same goes for going the more conservative route when market conditions calls for it.
QFL stands for Quickfingersluc, and sometimes it is referred to as the Base Strategy or Mean Reversals. Its main idea is about identifying the moment of panic selling and buying below the base level and utilizing Safety orders.
Base level or Support Level refers to the lowest price level that was reached before the moment the price started increasing again. At that level, you can notice that buyers of some cryptocurrencies make a strong reaction.
As a bit of a learning material i want to make a few points on important factors in trading using the QFL strategy:
• Identify strong bases
• Read the history of the chart
• No emotions
Trading QFL using a bot has it’s limitations:
· Some of the bases are questionable but im constantly trying to improve this
· The strategy don’t take into consideration chart history(success rate)*
· You need to follow a predefined (by you) buying ladder, hence not considering a particular coin's average price movement, which may vary quite a lot. This why I for now has limited the strategy to SIMPLE bots. So that unique alerts can be created for each pair.
· A set Take profit %, possibly making you miss out on higher profits(This is easy to change during a trade though), and no chance of selling in layers(This is coming soon).
1. Some of the bases are questionable
The strategy will start trades of bases that you wouldn’t consider being a strong base(or a base at all) when looking at the chart.
For those not as familiar with QFL. What is a base, and what qualifies as a strong base?
• A base is also called the Support Level, which is the lowest price level that was reached before the price started turning and increasing again.
• A strong base is recognized by a steep fall in price after breaking the base(Panic), followed by a big reaction pump.
• The reaction pump is the most important factor to say that it is a strong base.
• And also the last base, the one you are trading of is the one that counts
Tip: Look for V shapes on the chart, easy to spot when zoomed out.
2. The integrated signals don’t take into consideration chart history(success rate)*
How can you assess the success rate by looking at the chart?
After finding the bases based on the criterias from the 1st point. Looking at the, how many times did it respect the base after breaking it? 7/10, 8/10, 9/10 times? Great! Chances of the next trade also respecting the base is big, and I would consider raising the TP on that deal. Any lower than that I would keep a really close eye on the deal, or even consider closing the deal. And again remember the last base is the one that counts. If all the others are nice strong bases but that last one you are about to take a trade off is no good the base is invalidated so be cautious.
3. You need to follow a predefined (by you) buying ladder
Crypto is volatile, and there is a huge variation in price movements on all the coins.
Trading manually, looking at the chart gives you a good idea on how much a coin on avg. drops below base, and how big the following reaction is. This gives you an indication on how deep you need to set your layers, and where you can take profit.
Using the strategy you have the backtester to see how much max deviation has been in the past so that you can figure out what the optimal max deviation is.
4. A set Take profit %, possibly making you miss out on higher profits(This is easy to change during a trade though), and no chance of selling in layers.
Not going to say to much about this other than what I often do is:
When a bot has started a trade I usually take a look at the chart. If I like what I see, nice chart history, success rate and trading of a strong previous base etc, with the current base break resulting in a panic drop I will consider increasing the TP so that it will make more profit. This can be a bit risky but also very rewarding. Imagine filling all safeties and then selling just below base! Massive profits!! (Gotta be honest though, almost never stretch it that far with a bot though, but it is a possibility) .
If you have studied the chart and concluded that this particular trade has a 90% chance of success, there isn’t really any reason not to place TP just below base. This is where I would like to have the option of layering my sell orders as well so its something im working on implementing.
Trailing is an option in 3commas, but it’s slow to place orders making you miss a selling opportunity when the coin makes a sudden spike up.
ABOUT THIS STRATEGY
In this strategy we can also reverse the strategy and go short. But i must warn you that that is alot riskier.
QFL is meant to be used on higher TF's like 1hr, 2hr and 4hr. But this strategy also work well on lower Timeframes.
The script also simulates DCA strategy with parameters used in 3commas DCA bots for futures trading.
Experiment with parameters to find your trading setup.
Beware how large your total leveraged position is and how far can market go before you get liquidated!
Do that with the help of futures liquidation calculators you can find online!
Included:
An internal average price and profit calculating, instead of TV`s native one, which is subject to severe slippage.
A graphic interface, so levels are clearly visible and back-test analyzing made easier.
Long & Short direction of the strategy.
Table display a summary of past trades
Vertical colored lines appear when the new maximum deviation from the original price has
been reached
All the trading happens with total account capital, and all order sizes inputs are expressed in percent.
How to use:
- Add the script to the current chart
- Open the strategy settings
-Tweak the settings to to your liking.
-Make a SIMPLE bot in 3commas and use the same settings as you did in tradingview if you only want the strategy to send signals to open a deal and let 3commas handle the rest.
If you check safety orders, Take profit deal stop and Stop loss. The strategy will send all the orders to 3 commas. If that’s what you want set TP in 3commas to 50% set number of safety orders to 0 and keep stop loss unchecked.
- Insert bot details using the deal start condition message found in your 3commas bot.
- When happy, right click on the "..." next to the strategy name, then "Add alert'".
- Under "Condition", on the second line, chose "Any alert () function call". Add the webhook from 3commas( 3commas.io ), give it a name, use {{strategy.order.alert_message}} as a placeholder message and "create".
In the future this signal might make it to the 3commas marketplace. You can then subscribe to that signal where I have cherrypicked coins based on thorough backtesting and optimization.
How to obtain access to the script: send me a private message in Tradingview
Close v Open Moving Averages Strategy (Variable) [divonn1994]This is a simple moving average based strategy that works well with a few different coin pairings. It takes the moving average 'opening' price and plots it, then takes the moving average 'closing' price and plots it, and then decides to enter a 'long' position or exit it based on whether the two lines have crossed each other. The reasoning is that it 'enters' a position when the average closing price is increasing. This could indicate upwards momentum in prices in the future. It then exits the position when the average closing price is decreasing. This could indicate downwards momentum in prices in the future. This is only speculative, though, but sometimes it can be a very good indicator/strategy to predict future action.
What I've found is that there are a lot of coins that respond very well when the appropriate combination of: 1) type of moving average is chosen (EMA, SMA, RMA, WMA or VWMA) & 2) number of previous bars averaged (typically 10 - 250 bars) are chosen.
Depending on the coin.. each combination of MA and Number of Bars averaged can have completely different levels of success.
Example of Usage:
An example would be that the VWMA works well for BTCUSD (BitStamp), but it has different successfulness based on the time frame. For the 12 hour bar timeframe, with the 66 bar average with the VWMA I found the most success. The next best successful combo I've found is for the 1 Day bar timeframe with the 35 bar average with the VWMA.. They both have a moving average that records about a month, but each have a different successfulness. Below are a few pair combos I think are noticeable because of the net profit, but there are also have a lot of potential coins with different combos:
It's interesting to see the strategy tester change as you change the settings. The below pairs are just some of the most interesting examples I've found, but there might be other combos I haven't even tried on different coin pairs..
Some strategy settings:
BTCUSD (BitStamp) 12 Hr Timeframe : 66 bars, VWMA=> 10,387x net profit
BTCUSD (BitStamp) 1 Day Timeframe : 35 bars, VWMA=> 7,805x net profit
BNBUSD (Binance) 12 Hr Timeframe : 27 bars, VWMA => 15,484x net profit
ETHUSD (BitStamp) 16 Hr Timeframe : 60 bars, SMA => 5,498x net profit
XRPUSD (BitStamp) 16 Hr Timeframe : 33 bars, SMA => 10,178x net profit
I only chose these coin/combos because of their insane net profit factors. There are far more coins with lower net profits but more reliable trade histories.
Also, usually when I want to see which of these strategies might work for a coin pairing I will check between the different Moving Average types, for example the EMA or the SMA, then I also check between the moving average lengths (the number of bars calculated) to see which is most profitable over time.
Features:
-You can choose your preferred moving average: SMA, EMA, WMA, RMA & VWMA.
-You can also adjust the previous number of calculated bars for each moving average.
-I made the background color Green when you're currently in a long position and Red when not. I made it so you can see when you'd be actively in a trade or not. The Red and Green background colors can be toggled on/off in order to see other indicators more clearly overlayed in the chart, or if you prefer a cleaner look on your charts.
-I also have a plot of the Open moving average and Close moving average together. The Opening moving average is Purple, the Closing moving average is White. White on top is a sign of a potential upswing and purple on top is a sign of a potential downswing. I've made this also able to be toggled on/off.
Please, comment interesting pairs below that you've found for everyone :) thank you!
I will post more pairs with my favorite settings as well. I'll also be considering the quality of the trades.. for example: net profit, total trades, percent profitable, profit factor, trade window and max drawdown.
*if anyone can figure out how to change the date range, I woul really appreciate the help. It confuses me -_- *
Stablecoins CorrelationThe indicator shows the correlation between stablecoins and bitcoin by means of liquidity flowing from stables to crypto and back. Where the indicator has highs, the bitcoin is usually the bottom and vice versa.
Dap's Oscillator- Short Term Momentum and Trend. BINANCE:BTCUSDT BYBIT:BTCUSDT BYBIT:ETHUSDT BINANCE:ETHUSDT
DAP's OSCILLATOR:
WHAT IS IT?
This Oscillator was created to inspire confidence in the short-term trend of traders. This will work very well with a volatility metric (I recommend BBWP by @The_Caretaker)
WHAT IS IT MADE OF?
1. Consists of a series of equations (mainly the difference between simple to exponential moving averages) and Standard deviations of these moving average differences (length equivalent to the length of sampled ma's)
2. These equations are then boiled down through an averaging process array, after averaging the covariants are equated against the variants of the positive side of the array. This is what is presented as the aqua line.
3. The RC average (yellow) is the sma following the DAP'S Oscillator at a specified length
4. The most important part of this indicator is simply the momentum oscillator represented as a green or red line based on the value relative to the Oscillators.
HOW DO I USE THIS?
As I mentioned before mixed with a volatility metric, it should set you up for a good decision based on short-term trends. I would say to be careful for periods of consolidation, with the consolidation the momentum often meets hands with DAP's Oscillator and can cause fake-outs. You want to spot divergences from the price to the momentum difference, as well as room to work down or upward to secure a good entry on a position.
CHEAT CODE'S NOTES:
I appreciate everyone who has boosted my previous scripts, it means a lot. If you want to translate words to pine script onto a chart, feel free to PM me. I would be happy to help bring an indicator to life. I may take a quick break but will be back shortly to help create more cheat codes for yall. Thanks!
-Cheat Code
PlanB Quant Investing 101 v2This script has been Inspired by PlanB Article Quant Investing 101.
With this script, I implemented Plan B strategy outlined in that article, trying to reproduce his findings independently and allowing TradeView Users to do the same.
PlabB is aware of this effort, and he's positive about it, via Twitter commenting, liking and sharing of this resource .
Trading Idea:
This script uses RSI index to determine the Buy And Sell signal.
As per the original PlanB article:
IF ( RSI was above 90% last six months AND drops below 65%) THEN sell,
IF ( RSI was below 50% last six months AND jumps +2% from the low) THEN buy, ELSE hold
My simple code is aimed at replicating his study in Pine so that every TV user can check his signal.
CryptoCoelloESP----El indicador CryptoCoello es un indicador basado en scalping, se recomienda usar en tendencias de 1,3,5 minutos. Útil para todo tipo de activos y gráficas. El indicador dará una señal de compra cuando el precio haya tenido un desplome grande y llegue a puntos de sobreventa en RSI, RSI stochastic y Volumen diario. Dará señal de compra cuando las 3 sobreventas confluyan. Lo más probable es que el precio rebote en el corto plazo. La única que vez que no funciona es cuando hay un desplome en el activo y por lo tanto da señales falsas mientras sigue bajando, así que es recomendable que entres en la señal de compra solo una vez, si el precio sigue bajando y sigue dando señales no sigas abriendo compras, si se trata de un desplome posiblemente te llegue a dar de 1-4 señales falsas de compra. Los puntos de venta se recomiendan hacer cuando el RSI llegue a sobrecompra o cuando el precio llegue a la línea verde superior del indicador. Se puede usar el indicador solo o se puede usar el indicador como confluencia de tu propia estrategia. EL FUNDAMENTO DEL INDICADOR es ENCONTRAR CONFUELCIAS DE SOBREVENTA en los INDICADORES.
ENG----The CryptoCoello indicator is an indicator based on scalping, it is recommended to use in trends of 1,3,5 minutes. Useful for all types of assets and graphics. The indicator will give a buy signal when the price has had a big crash and reaches oversold points on RSI, Stochastic RSI and Daily Volume. It will give a buy signal when the 3 oversold come together. Most likely, the price will bounce in the short term. The only time it does not work is when there is a crash in the asset and therefore it gives false signals while it continues to fall, so it is recommended that you enter the buy signal only once, if the price continues to fall and continues to give signals do not continue to open purchases, if it is a crash it may give you 1-4 false purchase signals. Sell points are recommended to be done when the RSI becomes overbought or when the price reaches the upper green line of the indicator. You can use the indicator alone or you can use the indicator as a confluence of your own strategy. THE RATIONALE OF THE INDICATOR is TO FIND OVERSOLD CONFUELCIAS in the INDICATORS.
[KRONOS] DeviationsDescription
This indicator calculates the differences between the current price and the local support or resistance, and normalizes it into a range.
The value basis is calculated from a defined period of time that is then multiplied to get a standard deviations and a max. and min. value subtracted and divided into a final value.
It includes
Extreme zones. This value appears as blue and red lines which deviates from the oversold to overbought range.
Momentum. Lower time frame momentum is represented by a gray histogram as well as a signal line oscillating from a red to blue color.
Strong reversal. Red ( bearish ) and blue ( bullish ) columns will appear on the histogram when our algorithm detects that the strength of momentum is coming to an end indicative of a trend reversal.
Trend confirmation. Red or blue arrows will act as a trend confirmation.
Support and resistance . The zero line will frequently serve as a S/R area.
Divergences. You can use this indicator to detect potential pivot areas.
How to use?
Sell/Short when the histogram shows a red column and the signal line is in or above the overbought area (colored in red).
Buy/Long when the histogram shows a blue column and the signal line is in or below the oversold area (colored in blue).
extra tip: if you entered a trade based on the above conditions, you can partially increase your position each time you see a confirmation arrow.
[KRONOS] MomentumDescription
This indicator is based on an algorithm which provides accurate momentum tracking on every timeframe. It is visualized as a colored histogram and through some other tools.
The value is calculated from an exponentially weighted moving average that is used to get a high and a low deviation, merging the last value into a range.
It includes
Overbought and oversold fixed areas. Their purpose is to facilitate the recognition of areas where the trend is likely to end or cool down. They are also marked with a background coloring.
Zero line. It typically represents a change of trend when the price crosses under or over it.
Volume shifts. Colored arrows will appear whenever a volume change is detected.
How to use?
Buy/Long on a blue confirmation arrow
Sell/Short on a red confirmation arrow
Take profit when the indicator starts showing a blue background
Take profit when the indicator starts showing a red background
extra tip: the zero line often acts as support / resistance similarly to the overbought and oversold areas
Trade HourThis script is just finds the best hour to buy and sell hour in a day by checking chart movements in past
For example if the red line is on the 0.63 on BTC/USDT chart it mean the start of 12AM hour on a day is the best hour to buy (all based on
It's just for 1 hour time-frame but you can test it on other charts.
IMPORTANT: You can change time Zone in strategy settings.to get the real hours as your location timezone
IMPORTANT: Its for now just for BTC/USDT but you can optimize and test for other charts...
IMPORTANT: A green and red background color calculated for show the user the best places of buy and sell (green : positive signal, red: negative signals)
settings :
timezone : We choice a time frame for our indicator as our geo location
source : A source to calculate rate of change for it
Time Period : Time period of ROC indicator
About Calculations:
1- We first get a plot that just showing the present hour as a zigzag plot
2- So we use an indicator ( Rate of change ) to calculate chart movements as positive and negative numbers. I tested ROC is the best indicator but you can test close-open or real indicator or etc as indicator.
3 - for observe effects of all previous data we should indicator_cum that just a full sum of indicator values.
4- now we need to split this effects to hours and find out which hour is the best place to buy and which is the best for sell. Ok we should just calculate multiple of hour*indicator and get complete sum of it so:
5- we will divide this number to indicator_cum : (indicator_mul_hour_cum) / indicator_cum
6- Now we have the best hour to buy! and for best sell we should just reverse the ROC indicator and recalculate the best hour for it!
7- A green and red background color calculated for show the user the best places of buy and sell that dynamically changing with observing green and red plots(green : positive signal, red: negative signals) when green plot on 15 so each day on hour 15 the background of strategy indicator will change to 15 and if its go upper after some days and reached to 16 the background green color will move to 16 dynamically.
[KRONOS] Gamma StrengthDescription
This indicator's main component is the signal line which represents a very responsive market strength value calculated from real time data and normalized into a range (0 - 0.5 - 1). Indicator is using Stochastic and RSI functions to get raw value filtered through a linear regression, helping users predict imminent market directions. Lastly, this value oscillation is converted into a range to notice overbought and oversold zones at a quick glance.
It includes
Divergence. Indicator plots R for regular divergence and H for hidden with minimal possible delay which can be used to notice irregularity in the market.
Extreme overbought and oversold areas. Colored background extreme areas are showing points where a reversal is approaching.
How to use?
Buy/Long when the indicator line goes out of the blue/oversold area.
Sell/Short when the indicator line goes out of the red/overbought area.
extra tip: you can use the zero line and overbought/oversold zones as either a take profit or an entry area.
Gators Oscillator - Bitcoin Scalp Trader(T&M/e V3!!)Gator's Oscillator:
**For reference, all numbers, and settings displayed on the input screen are only what I HAVE FOUND to be profitable for my own strategy, Yours will differ. This is not financial advice and I am not a financial advisor. Please do your due diligence and own research before considering taking entries based on this strategy and indicator. I am not advertising investing, trading, or skills untaught, this is simply to help incorporate into your own strategy and improve your trading journey!**
INPUTS:
EV: This is an integer value set to default at 55. This value is equated to the lead value, volatility measurement, and standard deviation between averages
EV 2: This integer is used as the base value and is meant to always be GREATER THEN EV, the default is set at 163. There should be at least a 90+ integer difference between EVs for data accuracy.
EV TYPE & EV TYPE 2: This option only affects the output for the moving average histograms. (and data inserted for strategy)
Volatility Smoothing: This is the smoothness of the custom-made volatility oscillator. I have this default at 1 to show time-worthy-term (3.9%+) moves or significant trends to correspond with the standard deviation declination between EVMA and EVMA2.
Directional Length: This is the amount of data observed per candle in the bull versus bear indicator.
Take Profit: Pre-set takes profit level that is set to 4 but can be adjusted for user experience.
Style:
Base Length: Columns equated using a custom-made statistical equation derived from EV TYPE 2+EV2 to determine a range of differential in historic averages to a micro-scale.
Lead Length: Columns equated using a custom-made statistical equation derived from EV TYPE+EV to determine a range of differential in historic averages to a micro-scale.
Weighted EMA Differential: Equation expressing the differences between exponential and simple averages derived from EV+EV Type 2. Default is displaying none, but optional for use if found helpful.
Volatility: Represents volatility from multiple data sets spanning from Bollinger bands to HPV and translated through smoothing.
Bull Strength: The strength of Bulls in the current trend is derived from a DMI+RSI+MACD equation to represent where the trend lies.
Bear Strength: The strength of Bears in the current trend is derived from a DMI+RSI+MACD equation to represent where the trend lies.
(NEW) Standard Deviation between Moving Averages: Use this logarithmic indicator depicted as circles to help determine whether a move is a fake out or not. Compare the circles with the volatility line, if you see them deviating away, it is either a bull/bear trap or trend continuation is imminent until they correlate back together.
CHEAT CODE'S NOTES:
Do not use this indicator on high leverage. I have personally used this indicator for a week and faced a max of 8% drawdown, albeit painful I was on low leverage and still closed on my take profit level.
85% is not 100% do not overtrade using this indicator's entry conditions if you have made 4 consecutive profitable trades.
Mess around with the input values and let me know if you find an even BETTER hit rate, 30+ entries, and a good drawdown!!
V2 UPGRADES:
*Increased Opacity on Bull Bear Columns
*Removed the Stop Loss Input option
*Decreased EV2 to a default of 143 for accuracy
*Added additional disclaimers in the description
* Removed Bull/Bear offset values for accuracy
V3 UPGRADES:
*ADDED THE EMA DIFFERENTIAL FROM SMA STANDARD DEVIATION INDICATOR. REPRESENTED BY PURPLE BARS THAT PLOT BRIGHT AT EXTREME LEVELS (Translate this to the EMA's and SMA's are very far apart) This is a fantastic way to resolve volatility and momentum in one indicator!!
*Line Width increased for volatility
*plot's for Oversold Alma reduced to 3, also adjusted the plot shape to arrows corresponding to 'overbought/oversold values. Look for a cross-over from green/red plot to transparent for best signals.
*Histograms for bull/bear strength correspond to an increase or decrease in value
*Input screen converted into groups, with bull/bear color inline
*Converted base/lead length value's into areas with breaks. IF YOU SEE WHITE (Short/Lead Length), IT IS A SHORT TERM MOVE AND SCALPING OPPORTUNITY. IF YOU SEE BLUE(Long/Base Length) IT MEANS IT IS A MACRO MOVE, WHICH MAY LAST LONGER
-Cheat Code
BINANCE:BTCUSDT BYBIT:BTCUSDT COINBASE:BTCUSD
Bitcoin Scalping Strategy (Sampled with: PMARP+MADRID MA RIBBON)
DISCLAIMER:
THE CONTENT WITHIN THIS STRATEGY IS CREATED FROM TWO INDICATORS CREATED BY TWO PINESCRIPTER'S. THE STRATEGY WAS EXECUTED BY MYSELF AND REVERSE-ENGINEERED TO MEET THE CONDITIONS OF THE INTENDED STRATEGY REQUESTOR. I DO NOT TAKE CREDIT FOR THE CONTENT WITHIN THE ESTABLISHED LINES MADE CLEAR BY MYSELF.
The Sampled Scripts and creators:
PMAR/PMARP by @The_Caretaker Link to original script:
Madrid MA RIBBON BAR by @Madrid Link to original script:
Cheat Code's strategy notes:
This sampled strategy (Requested by @elemy_eth) is one combining previously created studies. I reverse-engineered the local scope for the Madrid moving average color plots and set entry and exit conditions for certain criteria met. This strategy is meant to deliver an extremely high hit rate on a daily time frame. This is made possible because of the very low take profit percentage, during the context of a macro downtrend it is made easier to hit 1-3% scalps which is made visible with the strategy using sampled scripts I created here.
How it works:
Entry Conditions:
-Enter Long's if the lime color conditions are met true using the script detailed by Marid's MA
- No re-entry into positions needs to be met true (this prevents pyramiding of orders due to conditions being met true) applicable to both long and short side entries.
- To increase hit rate and prevent traps both the parameters of rsi being sub 80 and no previously engulfing candles need to be met true to enter a long position.
- Enter Short's if the red color conditions of Madrid's moving average are met true.
- Closing Long positions are typically not met within this indicator, however, it still sometimes triggers if necessary. This consists of a pmarp sub 99 and a position size greater than 0.0
- Closing Short positions are typically not met within this indicator, however, it still sometimes triggers if necessary. This consists of a pmarp over 01 and a position size less than 0.0
- Stop Loss: 27.75% Take Profit: 1% (Which does not trigger on ticks over 1% so you will see average trade profits greater than 1%)
BYBIT:BTCUSDT BINANCE:BTCUSDT COINBASE:BTCUSD
Best Of Luck :)
-CheatCode1
Binance Basis OscillatorBinance Basis Oscillator illustrates the premium or discount between Binance spot vs perps.
This indicates whether speculators (i.e. traders on perps) are paying premium vs spot. If true then speculation is leading, indicating euphoria (at certain levels).
Conversely, spot leading perps (i.e. perps at a discount) shows extreme bearish conditions, where speculation is on the short side. Indicating times of despair.
VIDYA Trend StrategyOne of the most common messages I get is people reaching out asking for quantitative strategies that trade cryptocurrency. This has compelled me to write this script and article, to help provide a quantitative/technical perspective on why I believe most strategies people write for crypto fail catastrophically, and how one might build measures within their strategies that help reduce the risk of that happening. For those that don't trade crypto, know that these approaches are applicable to any market.
I will start off by qualifying up that I mainly trade stocks and ETFs, and I believe that if you trade crypto, you should only be playing with money you are okay with losing. Most published crypto strategies I have seen "work" when the market is going up, and fail catastrophically when it is not. There are far more people trying to sell you a strategy than there are people providing 5-10+ year backtest results on their strategies, with slippage and commissions included, showing how they generated alpha and beat buy/hold. I understand that this community has some really talented people that can create some really awesome things, but I am saying that the vast majority of what you find on the internet will not be strategies that create alpha over the long term.
So, why do so many of these strategies fail?
There is an assumption many people make that cryptocurrency will act just like stocks and ETFs, and it does not. ETF returns have more of a Gaussian probability distribution. Because of this, ETFs have a short term mean reverting behavior that can be capitalized on consistently. Many technical indicators are built to take advantage of this on the equities market. Many people apply them to crypto. Many of those people are drawn down 60-70% right now while there are mean reversion strategies up YTD on equities, even though the equities market is down. Crypto has many more "tail events" that occur 3-4+ standard deviations from the mean.
There is a correlation in many equities and ETF markets for how long an asset continues to do well when it is currently doing well. This is known as momentum, and that correlation and time-horizon is different for different assets. Many technical indicators are built based on this behavior, and then people apply them to cryptocurrency with little risk management assuming they behave the same and and on the same time horizon, without pulling in the statistics to verify if that is actually the case. They do not.
People do not take into account the brokerage commissions and slippage. Brokerage commissions are particularly high with cryptocurrency. The irony here isn't lost to me. When you factor in trading costs, it blows up most short-term trading strategies that might otherwise look profitable.
There is an assumption that it will "always come back" and that you "HODL" through the crash and "buy more." This is why Three Arrows Capital, a $10 billion dollar crypto hedge fund is now in bankruptcy, and no one can find the owners. This is also why many that trade crypto are drawn down 60-70% right now. There are bad risk practices in place, like thinking the martingale gambling strategy is the same as dollar cost averaging while also using those terms interchangeably. They are not the same. The 1st will blow up your trade account, and the 2nd will reduce timing risk. Many people are systematically blowing up their trade accounts/strategies by using martingale and calling it dollar cost averaging. The more risk you are exposing yourself too, the more important your risk management strategy is.
There is an odd assumption some have that you can buy anything and win with technical/quantitative analysis. Technical analysis does not tell you what you should buy, it just tells you when. If you are running a strategy that is going long on an asset that lost 80% of its value in the last year, then your strategy is probably down. That same strategy might be up on a different asset. One might consider a different methodology on choosing assets to trade.
Lastly, most strategies are over-fit, or curve-fit. The more complicated and more parameters/settings you have in your model, the more likely it is just fit to historical data and will not perform similar in live trading. This is one of the reasons why I like simple models with few parameters. They are less likely to be over-fit to historical data. If the strategy only works with 1 set of parameters, and there isn't a range of parameters around it that create alpha, then your strategy is over-fit and is probably not suitable for live trading.
So, what can I do about all of this!?
I created the VIDYA Trend Strategy to provide an example of how one might create a basic model with a basic risk management strategy that might generate long term alpha on a volatile asset, like cryptocurrency. This is one (of many) risk management strategies that can reduce the volatility of your returns when trading any asset. I chose the Variable Index Dynamic Average (VIDYA) for this example because it's calculation filters out some market noise by taking into account the volatility of the underlying asset. I chose a trend following strategy because regressions are capturing behaviors that are not just specific to the equities market.
The more volatile an asset, the more you have to back-off the short term price movement to effectively trend-follow it. Otherwise, you are constantly buying into short term trends that don't represent the trend of the asset, then they reverse and loose money. This is why I am applying a trend following strategy to a 4 hour chart and not a 4 minute chart. It is also important to note that following these long term trends on a volatile asset exposes you to additional risk. So, how might one mitigate some of that risk?
One of the ways of reducing timing risk is scaling into a trade. This is different from "doubling down" or "trippling down." It is really a basic application of dollar cost averaging to reduce timing risk, although DCA would typically happen over a longer time period. If it is really a trend you are following, it will probably still be a trend tomorrow. Trend following strategies have lower win rates because the beginning of a trend often reverses. The more volatile the asset, the more likely that is to happen. However, we can reduce risk of buying into a reversal by slowly scaling into the trend with a small % of equity per trade.
Our example "VIDYA Trend Strategy" executes this by looking at a medium-term, volatility adjusted trend on a 4 hour chart. The script scales into it with 4% of the account equity every 4-hours that the trend is still up. This means you become fully invested after 25 trades/bars. It also means that early in the trade, when you might be more likely to experience a reversal, most of your account equity is not invested and those losses are much smaller. The script sells 100% of the position when it detects a trend reversal. The slower you scale into a trade, the less volatile your equity curve will be. This model also includes slippage and commissions that you can adjust under the "settings" menu.
This fundamental concept of reducing timing risk by scaling into a trade can be applied to any market.
Disclaimer: This is not financial advice. Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
R19 STRATEGYHello again.
Let me introduce you R19 Strategy I wrote for mostly BTC long/short signals
This is an upgrated version of STRATEGY R18 F BTC strategy.
I checked this strategy on different timeframes and different assest and found it very usefull for BTC 1 Hour and 5 minutes chart.
Strategy is basically takes BTC/USDT as a main indicator, so you can apply this strategy to all cryptocurrencies as they mostly acts accordingly with BTC itself (Of course you can change main indicator to different assets if you think that there is a positive corelation with. i.e. for BTC signals you can sellect DXY index for main indicator to act for BTC long/short signals)
Default variables of the inticator is calibrated to BTC/USDT 5 minute chart. I gained above %77 success.
Strategy simply uses, ADX, MACD, SMA, Fibo, RSI combination and opens positions accordingly. Timeframe variable is very important that, strategy decides according the timeframe you've sellected but acts within the timeframe in the chart. For example, if you're on the 5 minutes chart, but you've selected 1 hour for the time frame variable, strategy looks for 1 hour MACD crossover for opening a position, but this happens in 5 minutes candle, It acts quickly and opens the position.
Strategy also uses a trailing stop loss feature. You can determine max stoploss, at which point trailing starts and at which distance trailing follows. The green and red lines will show your stoploss levels according to the position strategy enters (green for long, red for short stop loss levels). When price exceeds to the certaing levels of success, stop loss goes with the profitable price (this means, when strategy opens a position, you can put your stop loss to the green/red line in actual trading)
You can fine tune strategy to all assets.
Please write down your comments if you get more successfull about different time zones and different assets. And please tell me your fine tuning levels of this strategy as well.
See you all.
T&M/E Wave V2Trend and Momentum With Exception Wave Indicator and Strategy:
This strategy is hand made and I have spent days and many hours making it. The strategy is meant to determine the power between buyers and sellers, match the current power with a historic trend (through a moving average statistical equation), and finally volatility (measured with a mix between standard deviation from Bollinger Bands and HPV). Below will be a list of how to determine the inputs for the indicator
**For reference, all numbers, and settings displayed on the input screen are only what I HAVE FOUND to be profitable for my own strategy, Yours will differ. This is not financial advice and I am not a financial advisor. Please do your due diligence and own research before considering taking entries based on this strategy and indicator. I am not advertising investing, trading, or skills untaught, this is simply to help incorporate into your own strategy and improve your trading journey!**
INPUTS:
EV: This is an integer value set to default at 55. This value is equated to the lead value, volatility measurement, and standard deviation between averages
EV 2: This integer is used as the base value and is meant to always be GREATER THEN EV, the default is set at 163. There should be at least a 90+ integer difference between EVs for data accuracy.
EV TYPE & EV TYPE 2: This option only affects the output for the moving average histograms. (and data inserted for strategy)
Volatility Smoothing: This is the smoothness of the custom-made volatility oscillator. I have this default at 1 to show time-worthy-term (3.9%+) moves or significant trends to correspond with the standard deviation declination between EVMA and EVMA2.
Directional Length: This is the amount of data observed per candle in the bull versus bear indicator.
Take Profit: Pre-set takes profit level that is set to 4 but can be adjusted for user experience.
Style:
Base Length: Columns equated using a custom-made statistical equation derived from EV TYPE 2+EV2 to determine a range of differential in historic averages to a micro-scale.
Lead Length: Columns equated using a custom-made statistical equation derived from EV TYPE+EV to determine a range of differential in historic averages to a micro-scale.
Weighted EMA Differential: Equation expressing the differences between exponential and simple averages derived from EV+EV Type 2. Default is displaying none, but optional for use if found helpful.
Volatility: Represents volatility from multiple data sets spanning from Bollinger bands to HPV and translated through smoothing.
Bull Strength: The strength of Bulls in the current trend is derived from a DMI+RSI+MACD equation to represent where the trend lies.
Bear Strength: The strength of Bears in the current trend is derived from a DMI+RSI+MACD equation to represent where the trend lies.
CHEAT CODE'S NOTES:
Do not use this indicator on high leverage. I have personally used this indicator for a week and faced a max of 8% drawdown, albeit painful I was on low leverage and still closed on my take profit level.
85% is not 100% do not overtrade using this indicator's entry conditions if you have made 4 consecutive profitable trades.
Mess around with the input values and let me know if you find an even BETTER hit rate, 30+ entries and a good drawdown!!
V2 UPGRADES:
*Increased Opacity on Bull Bear Columns
*Removed the Stop Loss Input option
*Decreased EV2 to a default of 143 for accuracy
*Added additional disclaimers in the description
* Removed Bull/Bear offset values for accuracy
-Cheat Code
BYBIT:BTCUSDT
Scot Signal IndicatorThe Scot Signal Indicator is intended as a Scalping Resource. It was designed to work best on the ❗❗ 5 MINUTE CHART with Bitcoin ❗❗ / USD & USDT pairs.
🟡🔼🔽 Yellow Triangles : these are pre-signals. If the triangle is Pointing Down, then look for a possible Short to come, and vice-versa for Upward facing triangles will go Long.
* Be careful, this is a Canary in the Coal Mine, but not the full signal. Going purely on the triangle as a signal could lead to fake-outs more frequently.
🟩 🟥 Green & Red Boxes : these are "Long" & "Short" signals where the indicator feels the time is safe to enter a trade.
❗ EXITING THE TRADE ❗ : this is a scalping indicator, specifically meant for entering trades, NOT EXITING them. An ideal scalp is $100 - $200 Bitcoin move. Though, we run bots using this indicator, taking scalps as little
as $60, performing up to 8 trades a day.
Bitcoin Support BandsSMA and EMA support/resistance bands for Bitcoin. Based on 4 week multiples; 1 month, 3 month, 6 month, 1 year, 2 year, 4 year.
Aggregated Bitcoin Volume (spot & derivatives)AGGREGATED BITCOIN VOLUME INDICATOR (spot & derivatives)
This indicator aggregates volume for the most liquid bitcoin pairs AND instruments, from exchanges known to *not* have fake volume. A few legit exchanges are missing as not available in Tradingview at the moment (e.g. FTX US).
Volume is separated into four categories: spot (stablecoin pairs), spot (fiat pairs), derivatives (perpetuals), and tradfi derivatives (CME futures). Can plot them all four together (default setting) or individually.
Volume is "aggregated in equivalent number of bitcoin" (default setting) -- although users can change that to "aggregated in total USD". Doing so required converting volume for some bitcoin pairs and (derivatives) contracts that don't record volume in number of bitcoin (but rather record it in USD or number of contracts).
Volume from crypto futures contracts (i.e. not Tradfi) is missing given how these contracts expire, and rolling them over would require extensive manual input. Futures' volume track perpetuals' volume, and are considerably smaller than perpetuals', therefore its absence does not have a noticeable impact on output. Time series for CME futures don't suffer from this inconvenient as the CME offers a continuous time series.
For the sake of simplicity, the price time series used for normalizing volume into BTC units is Bitstamp's (as it is the longest time series available).
List of exchanges included: Binance, Binance US, OKX, Huobi, FTX, Bittrex, Gate, Kucoin, Poloniex, Coinbase, Bitfinex, Bitstamp, Gemini, Bitflyer, Upbit, Kraken, Bybit, Bitmex, Deribit, CME
List of pairs/instruments that had to be converted from total USD into number of bitcoin: FTX:BTCUSDT, FTX:BTCUSD, BITMEX:XBTUSD, BYBIT:BTCUSD, DERIBIT:BTCPERP, FTX:BTCPERP
List of pairs/instruments that had to be converted from number of contracts into number of bitcoin: BINANCE:BTCPERP, OKEX:BTCPERP, OKEX:BTCUSDTPERP, CME:BTC
Final note: I recommend to look at aggregated bitcoin volume in bitcoin (not in USD) and for all categories (spot and derivatives) to get a better picture of what's happening in the market. Looking at volume in USD rather than in BTC makes volume obviously dependent on bitcoin's price. This is a major problem for volume analysis. Given how volatile BTCUSD is, price then accounts for most of the variance in volume, making volume comparisons across time difficult.
If you have any suggestions please drop them in the comments.
TTP Fibonacci MAThis indicator offers a fibonacci rainbow of moving averages.
Recommended instructions:
- timeframe: daily or weekly
- logarithmic scale
- default MA length for smoother curve
- fib levels used are 0.5,1,2,3,5 and 8, but you can also try with 1,2,3,5,8,13 or 0.33,05,1,2,3 depending on which range you want to cover
- you can render in weekly timeframe and still set the indicator settings timeframe to daily to get more reactive levels
Wave Strength Oscillator By CryptoScriptsThe Wave Strength Oscillator uses a combination of wave strength and momentum to help catch the best entries for reversals and does so using a few methods. I'm currently using the 1h 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 both 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.
Overbought (Red shaded area) - The overbought indication appears whenever both 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.
Green Diamond - The green diamonds indicate whenever one or both of the oscillators are oversold AND they are both outside of the bollinger bands which is great for catching reversals to the upside (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.
Red Diamond - The red diamonds indicate whenever one or both of the oscillators are overbought AND they are both 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 BOTH oscillators are oversold and BOTH 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 BOTH oscillators are oversold and BOTH 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.
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). 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 RSI , MFI Pro, 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 :)
