Project Monday Strategy [AlgoAI System]Overview
Project Monday is a sophisticated trading strategy designed for active market participants. This strategy can be used alongside other forms of technical analysis, providing traders with additional tools to enhance their market insights. While it offers a flexible approach for identifying and exploiting market inefficiencies, Project Monday does not fit every market condition and requires adjustments. Its core principles include technical analysis and risk management, all aimed at making informed trading decisions and managing risk effectively.
Features
Project Monday Strategy works in any market and includes many features:
Efficient Trading Presets: Offers ready-to-use presets that allow traders to start efficient trading with one click.
Confirmation Signals: Provides signals to help traders validate trends, emphasizing informed decision-making (not to be followed blindly).
Reversal Signals: Identifies signals to alert traders to potential reversals, encouraging careful analysis (not to be followed blindly).
Adaptability: Can be adjusted to fit different market conditions, ensuring ongoing effectiveness.
Multi-Market Application: Suitable for use across various asset classes including stocks, forex, commodities, and cryptocurrencies.
Integration: Can be used alongside other technical analysis tools for enhanced decision-making.
Position Sizing: Allows traders to determine optimal trade size using backtesting and trading performance dashboard.
Backtesting: Supports historical testing to refine and validate the strategy.
Continuous Monitoring: Includes features for ongoing performance evaluation and strategy adjustments.
Unique Project Monday Strategy Features on TradingView:
Adaptive Position Sizing: Dynamically adjusts the size of each position based on market conditions and predefined risk management criteria, ensuring optimal trade sizing and risk exposure.
Preliminary Position Opening: Allows traders to enter a position in anticipation of a signal confirmation, enabling them to capture early market movements and improve entry points.
Preliminary Position Closing: Enables traders to exit a position before a signal reversal, helping to lock in profits and minimize potential losses during volatile market conditions.
Adjusting Strategy Parameters:
Price Band Inputs:
Project Monday Strategy uses a set of configurable inputs to tailor its behavior according to the trader's preferences. The following are the key inputs for the price band calculations. Signals are not generated when the price remains within these bands.
“Length of Calculation” determines how many historical data points are used in the trend calculation. A shorter “Length of Calculation” will make the Price Band more responsive to recent price changes but may also increase the noise and the likelihood of false signals. A longer “Length of Calculation” will make the Price Band smoother, with less noise, but may cause more lag in reacting to price changes.
“Offset” determines the position of the Gaussian filter, which is used to weight the data points in the trend calculation. The offset is expressed as a fraction of the “Length of Calculation”, with a value between 0 and 1. A higher “Offset” will shift the Gaussian filter closer to the more recent data points, making the Price Band more responsive to recent price changes but potentially increasing noise. A lower “Offset” will shift the Gaussian filter closer to the centre of the window, resulting in a smoother Price Band but potentially introducing more lag.
“Sigma” refers to the standard deviation used in the Gaussian distribution function. This parameter determines the smoothness of the curve and the degree to which data points close to the centre of the “Length of Calculation” are weighted more heavily than those further away. A smaller “Sigma” will result in a narrower Gaussian filter, leading to a more responsive Price Band but with a higher chance of noise and false signals. A larger “Sigma” will result in a wider Gaussian filter, creating a smoother Price Band but with more lag.
Adjust the “Source” inputs to specify which type of price data should be used for strategy calculations and signal generation.
“Width of Band” input determines the multiplier for the band width. A higher value of “Width of Band” makes the price band wider, which generates fewer signals due to the lower probability of the price moving outside the band. Conversely, a lower multiplier makes the band narrower, generating more signals but also increasing the likelihood of false signals.
Direction input:
The Project Monday strategy includes an input to specify the direction of trades, allowing traders to control whether the strategy should consider long positions, short positions, or both. The following input parameter is used for this purpose:
This input parameter allows traders to define the type of positions the strategy will take. It has three options:
Only Long: The strategy will generate signals exclusively for buying or closing short positions, focusing on potential uptrends.
Only Short: The strategy will generate signals exclusively for selling or closing long positions, focusing on potential downtrends.
Both: The strategy will generate signals for both buying (long positions) and selling (short positions), allowing for a more comprehensive trading approach that captures opportunities in both rising and falling markets.
Signals Filter:
The Project Monday strategy includes inputs to filter signals based on higher timeframes and the length of the data used for filtering. These inputs help traders refine the strategy's performance by considering broader market trends and smoothing out short-term fluctuations.
Filter Timeframe input specifies the timeframe used for filtering signals. By choosing a higher timeframe, traders can filter out noise from shorter timeframes and focus on more significant trends. The options range from intraday minutes (e.g., 1, 5, 15 minutes) to daily (1D, 2D, etc.), weekly (1W, 2W, etc.), and monthly (1M) timeframes. This allows traders to align their strategy with their preferred trading horizon and market perspective.
Filter Length input defines the number of data points used for filtering signals on the selected timeframe. A longer filter length will smooth out the data more, helping to identify sustained trends and reduce the impact of short-term fluctuations. Conversely, a shorter filter length will make the filter more responsive to recent price changes, potentially generating more signals but also increasing sensitivity to market noise.
Adaptive Position Size:
The Project Monday strategy incorporates inputs for unique feature Adaptive Position Sizing (APS), which dynamically adjusts the size of trades based on market conditions and specified parameters. This feature helps optimize risk management and trading performance.
Enable Adaptive Position Size: Users can check or uncheck this box to enable or disable the Adaptive Position Size feature. When checked, the strategy dynamically adjusts position sizes based on the defined parameters. This allows traders to scale their positions according to market volatility and other factors, enhancing risk management and potentially improving returns. When unchecked, the strategy will not adjust position sizes adaptively, and positions will remain fixed as per other settings.
“Timeframe for Adaptive Position Size “input specifies the timeframe used for calculating the position size. Options range from intraday minutes (e.g., 30, 60 minutes) to daily (1D, 3D), weekly (1W), and monthly (1M) timeframes. Selecting an appropriate timeframe helps align position sizing calculations with the trader’s overall strategy and market perspective, ensuring that position sizes are adjusted based on relevant market data.
“APS Length” input defines the number of data points used to calculate the adaptive position size. A longer APS length will result in higher position sizes. Conversely, a shorter APS length will result in smaller position sizes.
Anticipatory Trading:
Project Monday Strategy includes inputs for unique feature Anticipatory Trading, allowing traders to open and close positions preliminarily based on certain conditions. This feature aims to provide an edge by taking action before traditional signals confirm.
Enable Preliminary Position Opening: Users can check or uncheck this box to enable or disable Preliminary Position Opening. When enabled, the strategy will open positions based on preliminary conditions before the standard signals are confirmed. This can help traders capitalize on early trend movements and potentially gain a better entry point.
Enable Preliminary Position Closing: Users can check or uncheck this box to enable or disable Preliminary Position Closing. When enabled, the strategy will close positions based on preliminary conditions before the standard exit signals are confirmed. This can help traders lock in profits or limit losses by exiting positions at the early signs of trend reversals.
“Position Size in %” input specifies the position size as a percentage of the trading capital. By setting this value, traders can control the amount of capital allocated to each trade. For example, a risk value of 40% means that 40% of the available trading capital will be used for each anticipatory trade. This helps in managing risk and ensuring that the position size aligns with the trader's risk tolerance and overall strategy.
Usage:
Signal Generation
Long signal indicates a potential uptrend, suggesting either buying or closing a short position. Short signal indicates a potential downtrend, suggesting either selling or closing a long position. Signals are generated on your chart when the price moves beyond a calculated price band based on the current trend.
Signal Filtering
The strategy includes a filtering mechanism based on the current or another timeframe. Filtering works best with higher timeframes. This component calculates the trend on a higher timeframe and predicts the trend, ensuring trades on the current timeframe are only opened if they align with the higher timeframe trend. Setting the right filter timeframe is crucial for obtaining the best signals.
Position Direction
Users can choose the direction of positions to open via the settings box. Options include only long positions, only short positions, or both.
Adaptive Position Size (APS)
Users can enable the Adaptive Position Size feature to adjust position sizes based on trend strength. The strategy evaluates the strength of the current trend based on a higher timeframe. The stronger the trend, the larger the position size for opening a position.
Anticipatory Trading
Users can activate this unique feature to enhance trading decisions. The strategy assesses the likelihood of receiving a main signal. If the opportunity appears strong, it opens a partial position, as specified in the settings box. As the probability of the signal strengthens, the strategy gradually increases the position size.
Exit Strategy
The strategy exits positions based on receiving a reverse signal. Positions opened through “Anticipatory trading” are exited incrementally as each preliminary signal reverses.
By following these steps, traders can implement the strategy to navigate various market scenarios, manage risk, and adjust trading performance over time. Adjusting parameters and monitoring signals diligently are key to adapting the strategy to individual trading styles and market conditions.
You will get
By purchasing the Project Monday strategy, you not only gain access to a cutting-edge system but also receive ready-to-use presets designed to help you start trading immediately and achieve optimal results. Additionally, you benefit from comprehensive support and the option to request custom presets for your desired financial instruments through our dedicated support team, ensuring you have the tools and assistance needed for successful trading.
Risk Disclaimer
This information is not a personalized investment recommendation, and the financial instruments or transactions mentioned in it may not be appropriate for your financial situation, investment objective(s), risk tolerance, and/or expected return. AlgoAI shall not be liable for any losses incurred in the event of transactions or investments in financial instruments mentioned in this information.
Profit
Stx Monthly Trades ProfitMonthly profit displays profits in a grid and allows you to know the gain related to the investment during each month.
The profit could be computed in terms of gain/trade_cost or as percentage of equity update.
Settings:
- Profit: Monthly profit percentage or percentage of equity
- Table position
This strategy is intended only as a container for the code and for testing the script of the profit table.
Setting of strategy allows to select the test case for this snippet (percentage grid).
Money management: not relevant as strategy is a test case.
This script stand out as take in account the gain of each trade in relation to the capital invested in each trade. For example consider the following scenario:
Capital of 1000$ and we invest a fixed amount of 1000$ (I know is too risky but is a good example), we gain 10% every month.
After 10 months our capital is of 2000$ and our strategy is perfect as we have the same performance every month.
Instead, evaluating the percentage of equity we have 10% the first month, 9.9% the second (1200$/1100$ - 1) and 5.26% the tenth month. So seems that strategy degrade with times but this is not true.
For this reason, to evaluate my strategy I prefer to see the montly return of investment.
WARNING: The strategy provided with this script is only a test case and allows to see the behavior with different "trades" management, for these reason commision are set to zero.
At the moment only the provided test cases are handled:
test 1 - single entry and single exit;
test 2 - single entry and multiple exits;
test 3 - single entry and switch position;
BTC Profitable Wallets StrategyBTC Profitable Wallets Strategy - plots the percentage of profitable BTC wallets and places long orders when the profitable wallet share crosses above 50%, historically a very accurate point to catch the next Bull Run early.
The only setting is a smoothing option using the Moving Average method and length of your choice.
On Chain Data is queried from IntoTheBlock.
This is a 'HODL' strategy, with no exit given. If you'd like to see the historical performance check the Open Profit or place a sell order at the current date.
Ichimoku Cloud with ADX (By Coinrule)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s. It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals.
The Ichimoku Cloud is composed of five lines or calculations, two of which comprise a cloud where the difference between the two lines is shaded in.
The lines include a nine-period average, a 26-period average, an average of those two averages, a 52-period average, and a lagging closing price line.
The cloud is a key part of the indicator. When the price is below the cloud, the trend is down. When the price is above the cloud, the trend is up.
The above trend signals are strengthened if the cloud is moving in the same direction as the price. For example, during an uptrend, the top of the cloud is moving up, or during a downtrend, the bottom of the cloud is moving down.
DMI is simple to interpret. When +DI > - DI, it means the price is trending up. On the other hand, when -DI > +DI , the trend is weak or moving on the downside. The ADX does not give an indication about the direction but about the strength of the trend.
Typically values of ADX above 25 mean that the trend is steeply moving up or down, based on the -DI and +D positioning. This script aims to capture swings in the DMI, and thus, in the trend of the asset, using a contrarian approach.
Trading on high values of ADX , the strategy tries to spot extremely oversold and overbought conditions. Values of ADX above 45 may suggest that the trend has overextended and is may be about to reverse.
This strategy combines the Ichimoku Cloud with the ADX indicator to better enter trades.
Long/Short orders are placed when these basic signals are triggered.
Long Position:
Tenkan-Sen is above the Kijun-Sen
Chikou-Span is above the close of 26 bars ago
Close is above the Kumo Cloud
MACD line crosses over the signal line
-DI is greater than +DI
ADX is greater than 45
Short Position:
Tenkan-Sen is below the Kijun-Sen
Chikou-Span is below the close of 26 bars ago
Close is below the Kumo Cloud
MACD line crosses under the signal line
+DI is greater than -DI
ADX is less than 45
The script is backtested from 1 January 2022 and 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.
This script also works well on MATIC (15m timeframe), ETH (5m timeframe), and SOL (15m timeframe).
ALMA/EMA/SRSI Strategy + IndicatorBack with another great high hit rate strategy!!
Disclaimer* This strategy was sampled using source code written by @ClassicScott , as referred to in the script, there is a clear line where the source code was scripted by myself.
This Strategy consists of three key factors, the ALMA, EMA crossover, and a Stochastic Rsi
ALMA: The Alma is the step line shown, turning green and red at select times. This average value gives general oversight of the macro movement of price action. and this particular one was coded by Mr.ClassicScott.
EMA crossover: At the input screen you are given an option of the fast and slow ema's. The default is solely for the hit rate and correlation to the Alma of this strategy. The arrows you see depicted on the chart are the crossover events happening.
Stochastic Rsi: The Stochastic Rsi is a stochastic value, using data sampled from the rsi. The use of this indicator in my strategy is to prevent entries when too overbought and oversold, as well as closures and vice versa, to prevent holding bags either way.
Fixed % TP: In the input screen you are given a take profit and stop loss percentage, for good R/R the hit rate will take a notch down, but with no R/R it will be near perfect.
How to use this:
Add it to your chart to get the strategy inputs. (The strategy is really only useful on a 15min TF. However the indicator within it can be used on anything at anytime!)
Watch the yellow and aqua moving averages, these are your ema's and crossover's will trigger signals based on your integer inputs.
Find Correlation between other leading indicators, as well as crossover's down/up and a red/green alma.
DO NOT use the arrows as buy/sell signals. These are simply to show ema's are crossing under or over. Momentum indicator's paired with this can be useful to determine if it could be a buy signal or sell signal.
Cheat Code's Notes:
Almost at 1000 boosts!!! I appreciate the support from everyone and I will keep trying my best to deliver quality strategies for the people.
-Cheat Code
BYBIT:BTCUSDT
Ichimoku Cloud with MACD (By Coinrule)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s. It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals.
The Ichimoku Cloud is composed of five lines or calculations, two of which comprise a cloud where the difference between the two lines is shaded in.
The lines include a nine-period average, a 26-period average, an average of those two averages, a 52-period average, and a lagging closing price line.
The cloud is a key part of the indicator. When the price is below the cloud, the trend is down. When the price is above the cloud, the trend is up.
The above trend signals are strengthened if the cloud is moving in the same direction as the price. For example, during an uptrend, the top of the cloud is moving up, or during a downtrend, the bottom of the cloud is moving down.
The MACD is a trend following momentum indicator and provides identification of short-term trend direction. In this variation it utilises the 12-period as the fast and 26-period as the slow length EMAs, with signal smoothing set at 9.
This strategy combines the Ichimoku Cloud with the MACD indicator to better enter trades.
Long/Short orders are placed when three basic signals are triggered.
Long Position:
Tenkan-Sen is above the Kijun-Sen
Chikou-Span is above the close of 26 bars ago
Close is above the Kumo Cloud
MACD line crosses over the signal line
Short Position:
Tenkan-Sen is below the Kijun-Sen
Chikou-Span is below the close of 26 bars ago
Close is below the Kumo Cloud
MACD line crosses under the signal line
The script is backtested from 1 June 2022 and 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.
This script also works well on MATIC (1h timeframe), AVA (45m timeframe), and BTC (30m timeframe).
Short Term RSI and SMA Percentage ChangeThis strategy utilises common indicators like RSI and moving averages in order to enter and exit trades. The Relative Strength Index (RSI) is a momentum indicator that has a value between 0 and 100, where a value greater than 70 is considered overbought and a value less than 30 is oversold. If the RSI value is above or below these values, then it can signal a possible trend reversal.
The second indicator used in this strategy is the Simple Moving Average (SMA). A SMA is an arithmetic moving average calculated by adding recent prices and then dividing that figure by the number of time periods in the calculation average. For example, one could add the closing price of a coin for a number of time periods and then divide this total by that same number of periods. Short-term averages respond quickly to changes in the price of the underlying coin, while long-term averages are slower to react.
Long/Exit orders are placed when three basic signals are triggered.
Long Position:
RSI is greater than 50
MA9 is greater than MA100
MA9 increases by 6%
Exit Position:
Price increases 5% trailing
Price decreases 5% trailing
The script is backtested from 1 May 2022 and provides good returns.
A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
This script also works well on AVAX 45m/1h, MATIC 15m/45m/1h and ETH 4h.
Ichimoku Cloud with RSI (By Coinrule)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s. It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals.
The Ichimoku Cloud is composed of five lines or calculations, two of which comprise a cloud where the difference between the two lines is shaded in.
The lines include a nine-period average, a 26-period average, an average of those two averages, a 52-period average, and a lagging closing price line.
The cloud is a key part of the indicator. When the price is below the cloud, the trend is down. When the price is above the cloud, the trend is up.
The above trend signals are strengthened if the cloud is moving in the same direction as the price. For example, during an uptrend, the top of the cloud is moving up, or during a downtrend, the bottom of the cloud is moving down.
This strategy combines the Ichimoku Cloud with the RSI indicator to better enter trades.
Long/Short orders are placed when three basic signals are triggered.
Long Position:
Tenkan-Sen is above the Kijun-Sen
Chikou-Span is above the close of 26 bars ago
Close is above the Kumo Cloud
RSI is greater less than 50
Short Position:
Tenkan-Sen is below the Kijun-Sen
Chikou-Span is below the close of 26 bars ago
Close is below the Kumo Cloud
RSI is greater than 50
The script is backtested from 1 June 2022 and 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.
This script also works well on SOL (45m timeframe), BNB (1h timeframe), and ETH (1h timeframe).
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
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
Inverse MACD + DMI Scalping with Volatility Stop (By Coinrule)This script is focused on shorting during downtrends and utilises two strength based indicators to provide confluence that the start of a short-term downtrend has occurred - catching the opportunity as soon as possible.
This script can work well on coins you are planning to hodl for long-term and works especially well whilst using an automated bot that can execute your trades for you. It allows you to hedge your investment by allocating a % of your coins to trade with, whilst not risking your entire holding. This mitigates unrealised losses from hodling as it provides additional cash from the profits made. You can then choose to hodl this cash, or use it to reinvest when the market reaches attractive buying levels.
Alternatively, you can use this when trading contracts on futures markets where there is no need to already own the underlying asset prior to shorting it.
ENTRY
The trading system uses the Momentum Average Convergence Divergence (MACD) indicator and the Directional Movement Index (DMI) indicator to confirm when the best time is for selling. Combining these two indicators prevents trading during uptrends and reduces the likelihood of getting stuck in a market with low volatility.
The MACD is a trend following momentum indicator and provides identification of short-term trend direction. In this variation it utilises the 12-period as the fast and 26-period as the slow length EMAs, with signal smoothing set at 9.
The DMI indicates what way price is trending and compares prior lows and highs with two lines drawn between each - the positive directional movement line (+DI) and the negative directional movement line (-DI). The trend can be interpreted by comparing the two lines and what line is greater. When the negative DMI is greater than the positive DMI, there are more chances that the asset is trading in a sustained downtrend, and vice versa.
The system will enter trades when two conditions are met:
1) The MACD histogram turns bearish.
2) When the negative DMI is greater than the positive DMI.
EXIT
The strategy comes with a fixed take profit combined with a volatility stop, which acts as a trailing stop to adapt to the trend's strength. Depending on your long-term confidence in the asset, you can edit the fixed take profit to be more conservative or aggressive.
The position is closed when:
Take-Profit Exit: +8% price decrease from entry price.
OR
Stop-Loss Exit: Price crosses above the volatility stop.
In general, this approach suits medium to long term strategies. The backtesting for this strategy begins on 1 April 2022 to 18 July 2022 in order to demonstrate its results in a bear market. Back testing it further from the beginning of 2022 onwards further also produces good returns.
Pairs that produce very strong results include SOLUSDT on the 45m timeframe, MATICUSDT on the 2h timeframe, and AVAUSDT on the 1h timeframe. Generally, the back testing suggests that it works best on the 45m/1h timeframe across most pairs.
A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
AUTO ALGO ETH perfect strategy Our team has just completed the Auto Algo 2.1 for BTCUSDT and ETHUSDT .
Past results back to April 2019, this Trading system offers great profits with quick high frequency trades that is safe to use low leverage.
Absolutely NO REPAINT.
Very conservative approach.
This Indicator works on the 3 min Chart to enter the signal after checking all high time frame trends.
This has been back tested only for BTCUSDT and ETHUSDT .
Alerts are available for notifications and automated trading by subscription.
Alerts are available to view on Telegram public channel t.me
You are welcome to get access for 7 days by requesting it via private message on Tradingview or Telegram.
The settings can be changed between BTCUSDT and ETHUSDT .
Long alert: for long signal
Short alert: for short signal
Flat alert: close position in profit
close order long/short: close order with stoploss
Summary of the strategy data over 3 years from April 2019.
with 2000 USDT on 10x leverage.
These results include the commission paid you can check it in the settings.
from 04/01/2019 till 07/07/2022
winning percentage for this period is 74.56%
The Net profit for this period is $97,063.36 and max drawdown of only: $4,023.83
Summary of the strategy data since May 23 2022
with 2000 USDT on 10x leverage.
These results include the commission paid you can check it in the settings.
from 05/23/2022 till 07/07/2022
winning percentage for this period is [b84.25%
The Net profit for this period is $19,067.52 and max drawdown of only: $2125.99
With the backtesting data, this can be the ticket for financial freedom.
t.me
TradingGroundhog - Fundamental Bot Automation - Fractal/Wave -V1PLEASE READ THE DESCRIPTION - AS THE SCRIPT IS USED FOR AUTOMATION AND TRADING PAIR SWITCH THE MECHANISM CAN BE COMPLICATED TO UNDERSTAND
#-- Pairs Switching - No Repaint - Fractals - Wavetrend --
This strategy uses my fractal/wavetrend previous methods in order to buy/sell.
However, it has been designed in order to switch automatically the pairs on which it trades to reduce the loss and risk.
#-- Synopsis --
To do so, the script uses a Daily wavetrend oscillator. The oscillator is used to find uptrend periods.
From it, the number of uptrend days are counted.
#-- Wavetrend --
For exemple, if BTC/EUR goes from downtrend to uptrend, the script will start to count since how many days the market is uptrend.
Then, if BTC/EUR goes from uptrend to downtrend, the counter will be reset to 0.
The script only trades during uptrend periods.
#-- Pairs --
Up to 35 pairs can be used at the same time. The user can enable of disable to trade on certain pairs.
Uptrend days are counted for each one of those pairs. The user can define on how many pairs the script can trade at the same time.
The select which pairs will be trade, the script sort all the enabled pairs based on their uptrend days counters.
#-- Trade organization --
For exemple if we set 5, as the number of maximum pairs to trade on.
Trades will be conducted on the 5 pairs being in uptrend for the longest time.
Therefore, to organize the money placement on each pair, the equity is used.
For 100% of equity, 10% are kept if losing trades occur.
The remaining 90% are divided by the number of maximum pairs to trade on.
If we chose 5, we will have (90/5) 18% of our capital placed in each bot.
#-- Setting it --
As explained before, this script is used for automation.
For exemple, lets say you are interested by 15 pairs with promising evolution and you set the number of maximum pairs to trade on to 5.
You will have to set alerts for the script on each of the 15 pairs.
You will receive alerts for when to buy and sell.
Note that the script has to be set for each of the selected pairs, it is not able to trade on 15 pairs (thus, webpages) if only set on one Tradingview webpage.
#-- Plot--
Once launch, you can see a plot.
The plot represent the Uptrend days counter for 20 pairs. It also project the organization of the ENABLED pairs.
If a pair is part of the one with the highest number of uprend days. It's name will be displayed under the plot in a yellow comment box.
Four other box are projected to the right of the plot:
White comment : All the pairs sorted from highest number of uptrend days to the lowest.
Red comment : Pairs with the lowest number of uptrend days.
Blue comment : Interesting pairs which will may be uptrend for a long time.
Green comment : Actual pairs with active trading (thus, the pairs with the maximum number of uptrend days)
#-- Bot automation --
If you use 3commas or other trading bot platforms, you will have to set as comments the BUY/SELL alerts. <= Which is what I am doing with it.
Doing so make you trade on multiple pairs, automatically.
However, you will need to set as input the 3commas signal.
For the moment, the script will be needed for it.
However, I will soon release a V2 taking as input the 3commas strategy comments.
For the moment, you can set the script in different webpages and follow BUY/SELL orders by eyes of alerts. ;)
#-- Parameters --
*** Parameters have been intensively optimized using 35 cryptocurrency pairsin order to have potent efficiency for each of them. I would recommend to only change the METHOD SETTINGS. For the others, I don't recommend any modifications. If you need precision on the other parameters of if you want to modify them, more informations can be found in my previous scripts and ***
Filtering method :
Used to reduce or not the risks. If you set Wavetrend, less trades will be conducted as the wavetrend filter from will be used. If you choose Fractal, no Wavetrend signals will be used.
(I prefer to use Fractal as I am using 1 or 3 minutes timeframes for the moment.)
Market Pairs : You can select on which markets the script will trade by enabling it's checkbox.
*** Also, for the moment, due to Pinescript limitation, I cannot set as input the number of active pairs. So I set 5, after optimization, as the default number of maximum pairs to trade on. Thus, you should open webpage for each ENABLED pairs and load the script in each on them. 5 Tradingview webpage will always be active. ***
#-- Timeframe --
You can use the script for Short or Long term trading:
For Short term, you will have to use 1 or 3 minutes timeframes, depending on the volatility of the market. (What I am using)
For Long term, you will have to use 5 or 15 minutes timeframes, depending on the volatility of the market.
#-- Strategy abilities and results for more than a month of activity -- *** !!! IMPORTANT SECTION !!! ***
I have simulated the profit for the 21 ACTIVE pairs I selected has been potent with my Fractal strategy. Different maximum number of trading pairs were used in order to find the best one. The script was run for the last 46 or 30 days.
Different timeframe have been used as pairs have different volatility.
*** If you use the script, SET IT UP with the following pairs and the following timeframes. ***
-------------------------------------------------------------------------------------------------------
Parameters | Maximum number of trading pairs
-------------------------------------------------------------------------------------------------------
Timeframe | Pairs | 1 2 3 5 6 10
-------------------------------------------------------------------------------------------------------
3M | SHIB | 0 0.98 3.63 2.17 2.56 2.56
1M | SOL | 0 1.5 1.08 1.26 0 0
3M | XRP | 10.5 4.56 3.29 2.19 1.52 1.52
3M | ETH | 9.94 6.97 4.55 3.45 2.19 2.19
3M | BTC | 1.7 2.32 1.74 1.88 1.33 1.33
3M | DOT | 0 3.5 2.32 2.27 1.99 1.99
1M | DOGE | 0 0 0 3.14 1.93 1.93
1M | LUNA | 0 0 0 0.23 2.35 2.35
3M | AVAX | 8.92 0 0.53 3.63 1.17 1.17
1M | HOT | 0 0 2.12 7.96 4.69 4.69
3M | GRT | 0 -1.09 -0.82 0.25 -0.191 0
1M | LINK | 0 0 0 0 0 0
1M | CHZ | 0 0 0.4 0.85 1.89 1.91
3M | WIN | 0 0 0.52 5.89 2.8 2..8
3M | ENJ | 32.63 15.65 12.55 10.31 5.62 5.62
3M | RUNE | 0 4.68 3.42 -1.18 2.3 2.3
3M | LTC | 0 -0.06 1.1 1.29 3.49 3.49
3M | BTT | 0 0 0 0.85 1.63 1.63
3M | BCH | 0 0 0 1.36 2.36 2.36
3M | WRX | 0.26 4.66 5.36 4.29 3.01 3.01
3M | ETC | -0.92 0 0 3.6 3.31 3.56
-------------------------------------------------------------------------------------------------------
Net profit % | 63.03 43.67 37.24 55.69 45.949 43.61
Number of days | 46 30 30 46 46 46
Net profit % per day | 1.38 1.46 1.25 1.22 1.00 0.95
-------------------------------------------------------------------------------------------------------
*** Therefore, we are around more than 1% per day in each case. ***
#-- Choosing pairs --
I selected the 35 cryptocurrencies which can be exchange with EUR and evaluated the ability of my Fractal script on them. The on which have been ENABLED (true) are the best.
BINANCE:SHIBEUR | true
BINANCE:SOLEUR | true
BINANCE:XRPEUR | true
BINANCE:ETHEUR | true
BINANCE:BTCEUR | true
BINANCE:DOTEUR | true
BINANCE:ENJEUR | true
BINANCE:DOGEEUR | true
BINANCE:LUNAEUR | true
BINANCE:VETEUR | false
BINANCE:BNBEUR | false
BINANCE:AVAXEUR | true
BINANCE:HOTEUR | true
BINANCE:EGLDEUR | false
BINANCE:GRTEUR | true
BINANCE:MATICEUR | false
BINANCE:LINKEUR | true
BINANCE:CHZEUR | true
BINANCE:ICPEUR | false
BINANCE:UNIEUR | false
BINANCE:WINEUR | true
BINANCE:ADAEUR | false
BINANCE:RUNEEUR | true
BINANCE:TRXEUR | false
BINANCE:THETAEUR | false
BINANCE:EOSEUR | false
BINANCE:LTCEUR | true
BINANCE:XLMEUR | false
BINANCE:BTTEUR | true
BINANCE:SXPEUR | false
BINANCE:LAZIOEUR | false
BINANCE:YFIEUR | false
BINANCE:BCHEUR | true
BINANCE:WRXEUR | true
BINANCE:ETCEUR | true
CRYPTO TRADING BOT - 1min SCALPING LONG/SHORTHOW IT WORKS
The core concept behind the script is the determination of the current market mood in sense of creating a trendline indicator using EMA / SMA .
By using this trend indication alongside RSI / MACD value range, we are able to enter/exit the market in both directions: LONG and SHORT .
In case of confirmed false signals, we try to catch up the next good opportunity to minimise loss and to close the current trade.
If the chance for a good countertrade is given at this point, the market is going to be entered reversely.
Should the market move incredibly fast against our trade direction, we use proven Stop-loss targets, to bring our children into safety.
As many others, we could tell you now, that we used state-of-the-art machine learning algorithms
as well as highly sophisticated methods to gain our results.
As a fact, we started with an idea, using simple and common trading tools/indicators,
as a solid ground. We did not want to reinvent the wheel and it paid off.
GET A WORKING SCRIPT
The algorithm we are using has initially been created with a self-developed backtesting software.
To be able to deliver gas to our engine, we have bought a huge amount of OHLCV data for the 1min chart.
After many exhausting and frustrating weeks of our workflow-rotation (develop, fail, fix, test, repeat)
we finally got confirmation for all of our conditions/expectations, so we translated our algorithm into pine-code.
THE RESULTS
Since we have been using our Pine-Strategy alongside our backtesting software , we checked all the results provided by TradingView
and our tool to be 100% sure every outcome, every entry and every exit is exactly the same.
We did this for several months and since 2021 June we have been using it with real Alerts, coped to our binance account.
Below, you will find how the performance for the previous months looked like (every trade was made with 100% of the capital, of course using proper stop loss and take profit):
September 2020: 15.18%
October 2020: 36.17%
November 2020: 15.12%
December 2020: 48.58%
January 2021: 150.10%
February 2021: 45.96%
March 2021: 46.48%
April 2021: 4.96%
May 2021: 43.48%
June 2021: -28.99%
Juli 2021: 15.63%
August 2021 (so far): 11.57%
Accumulated Profit: 1,979.01%
To prove our results, we will link an excel sheet for every trade that was made within this timerange.
Link: docs.google.com
ABOUT US
We are two good friends, both incredibly interested in mathematics, software engineering, AI and algorithmics. After getting introduced into the crypto space
by a common friend, we started figuring out that there is a pattern behind every big or small move which happens in an asset.
This is where the passion for creating a CRYPTO TRADING BOT began. It was our goal, to create this script for the 1min Timeframe, so the software can react quickly when a
big or small move is happening - this is why it is called a SCALPING SCRIPT .
We are incredibly proud of this script and would like to share it with this amazing community - just hit us up on TradingView!
Sola Fide [Strategy]Sola Fide High Accuracy with ATR R:R
Indicators used:
- Stochastic RSI
- Chopiness Index
- RSI
- Ichimoku Cloud
- ATR
Script has been set up in strategy format to give backtesting data.
The strategy has been made for BTC and ETH pairs against USDT on the hourly timerframe
Currently outperforming the Buy and Hold Return on both assets.
This script has been made to make it easier to automate strategies on 3commas
In the settings you will see options for BTC strategy or ETH strategy
Choose the asset you are on, copy your 3commas Bot ID and Email token and paste them into the settings box for eachever asset you are on.
To receive the alerts set up within the strategy, in your alert message box use " {{strategy.order.alert_message}}"
This will then be able to send any orders taken on the tradingview script directly to your long or short bot on 3commas
This strategy is set up with a strict set of rules on the ATR for the Take profits and Losses.
There is a repaint warning because the code uses heikin ashi candles through the security function, the given entry and exit signals do not repaint,
I have been automating this for myself with no errors.
You don't need to use more than 3x leverage...
Past results do not guarentee future results.
Khair Day trade with profit lossBest used when applied for intraday trading. Users can customize length and deviation to fit their needs. Works best for high volatility stocks.
This strategy only works intraday intervals, so it means when you try to apply it to day/week/month it won't show any entry or exits.
Bollinger band breakout with non-standard deviation along with profit targets and stop loss.
There are 2 profit targets that can be adjusted based on individual preference.
This strategy minimizes risk and only opens trades when the probability of profitability is higher.
PIVOT EDGE - TREND GLIDEROne of the Biggest challenge in trading is to find the right trend and once we are in the right trend, holding on to winning trades is the next challenge. So this indicator addresses both these issues and helps you with
finding the right trend and also guide you and glide the trades till there is a change in trend by means of proper trend based candle color.
You can just look at the basic candle color as per the prevailing trend and be in the trend as long as the candle colors doesn't change. You need not worry or panic about the small pullbacks or retracements which is a normal
course of any trend continuation. Without this Indicator, in normal situation we would have ended our trades thinking the trend has changed and only to find that trend is again continuing and giving us more than 3-4 times reward after exit.
This Indicator is coded in such a way that no matter what may be the standard color of the candle, This Indicator will paint the candles to Green color in an Uptrend and it will paint the candles RED color in downtrend.
You can take entries as soon as you see the trend formation and wait till the trend is changed or the candle color is changed.
This indicator is intended for the use of newbies or Novice traders to give them confidence and also to guide them towards the proper trend so that they are not taking any counter trend trades.
This Indicator is also beneficial for experienced and master traders to keep them in trade and glide until there is a clear change in trend thereby riding their profits for longer time.
This is a Moving average crossover based strategy but slightly different in the computation where in I have used the customized PEMA values to suit most favorable win ratio.
The results are best when used for timeframe of 10 mins and above. Also you must know the basics of candle stick patterns and price action to take suitable entries and exit at favorable risk reward ratio.
Always do not wait for exit signal from the indicator. You can exit whenever you have gained decent profit and you can keep a trailing stop loss and lock in your profit.
This Indicator works on all Markets and all types of timeframes. Kindly do backtesting for atleast 2-3 months data before using it for live market. Also you must find out which stocks you wish to trade and check if this indicator works favorably for your scripts. The results might slightly vary on stocks
with high volatility.
Always look for the curve in trending up direction of trending down direction. Do not trade whenever the curve is flat and not inclined upside or downside.
Always trade with a suitable STOPLOSS in place and trade with less quantity till you find comfort and confidence with this Indicator.
Further updates to follow periodically. Incase you like this script, like it and share it to others too. Also take a look at the other scripts that I have published.
Happy Trading
Mohan
Trend Catcher BotTrend analysis strategy with entry filters such as MACD and Tilson T3. It will look at possible entry points and it can use MACD or TilsonT3 filters to decide whether or not enter in a new trade.
Notes:
- Results include a 0.075% Fee.
- Simulated leverage of 5x.
- Initial Capital of $1000.
- Uses a max order size of $200k per trade (Leverage included).
- Stop loss of 1.15%.
- The stop loss is moved to 0.4% Profit once the Trade reaches 1.15% profit.
- All settings adjustable.
- Non Repainting.
PROFIT MAKER |Crypto|ETH|BTC|YFIThis is a trend-following strategy that works very well for many Crypto assets in the usd or usdt pair
It can be used for both futures and spot!
Some of the assets in which this strategy is proven are
Asset Exchange TF
BINANCE:ADAUSDT Binance 45m
BINANCE:BTCUSDT Binance 1h
BINANCE:YFIUSDT Binance 30m
BINANCE:DOTUSDT Binance 45m
BINANCE:ETHUSDT Binance 30m
BINANCE:LINKUSDT Binance 45m
BINANCE:DOGEUSDT Binance 1h
And many others..
BINANCE:BTCUSDT
BINANCE:LINKUSDT
What is this strategy based on?
It is a combination of various parameters, including
-RSI: The relative strength index (RSI) is a momentum indicator used in technical analysis that measures
the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset.
-MACD: Moving average convergence divergence (MACD) is a trend-following momentum indicator that shows
the relationship between two moving averages of a security’s price.
-ADX: ADX is used to quantify trend strength. ADX calculations are based on a moving average of price range expansion over a given period of time.
-DMI: DMI is a moving average of range expansion over a given period (the default is 14 days). The positive directional
movement indicator (+DMI) measures how strongly price moves upward; the negative directional movement indicator (-DMI)
measures how strongly price moves downward. The two lines reflect the respective strength of the bulls versus the bears.
Included:
Different forms of Take profit, included:
Take profit on squeeze candles
Take profit based on Risk-Benefit (RR)
Take profit a pre-determined %.
Different forms of Stop Loss, including
ATR-based stop loss
Trail stop loss (with option to use a trigger)
Stop loss a pre-determined %.
**All trades include 0.1% of fees + slippage
** The statistics displayed are for the year 01-01-2020 and the period from 2021 to the date of publication (14-01-2020)
For access you can send a message or consult in my social networks.
Links in my tradingview signature (below).
Smoothed Trend Wave (Strategy)
This is a the Final version of Smooth Trend Wave
* Average Trend is show
* Calculation of different period of moving average
* Candlestick Pattern
* Background color is based on candle color.
Use Strategy Format to show back-test result. When I create this indicator is based on daily chart. (lower timeframe, result might be different)
7 type of strategy (can be select)
Strategy 1 & 2 : long/short according the trend
Strategy 3 & 4 : long/short according retracement in same trend
Strategy 5 & 6 : long/short bet for rebound
Strategy 7 : potential buying point (low chance happens)
Example of back-testing is use crypto between 1-1-2019 to 30-7-2020 (after JULY is a bullish momentum will causing *repaint" of strategy result)
* Strategy is set initial equity of 10000usd
* Each order is only 30% of equity, to make risk management
* Maximum 5 order is allow in strategy
Kindly PM or comment below if you have any question.
Scalping Strategy with SL and TP activation settingsThis strategy can be used on pretty much every timeframe that gives you a satisfying performance and will give you entries with a high probability of a winning trade.
Recommended are lower timeframes, because after all this is a scalping strategy and with that your chart wont be cluttered.
How to use this script?
Currently you can setup your positions SL and TP, because the markets vary in volatility it could improve the performance of the strategy.
You will simply get your signals and can decide to act upon them.
Stop loss: Simply your stop loss order which will trigger when price moves a given % away from your entry.
TP-Activation: When price reaches your % target it will trigger a stop limit order. So if price turns against your position after reaching your target it will close your position in profit and if it runs in your favoured direction it will trigger at a later stage.
Trailing-Offset-%: After reaching your % target it will trigger the TP order with an offset. So if you set your trailing offset to 0.1%, your TP order will be set behind 0.1 %. This can be used to test if the strategy would perform as well
if you leave more room for trades to play out.
Will this script make me profitable?
No strategy is a silver bullet and it depends mostly on you.
Trading is not easy and most people fail, because their risk management skills arent solid or they cant control their emotions.
This script will give you statistically often good entries, so even if you hit a losing streak your SL will protect you from losing more than necessary until you get a winning streak.
Patience and consistency is key to be profitable in the long run.
Does the script repaint?
Although you will get a notification when setting an alarm that the indicator may repaint, no security function is used and the signals will stay on the chart, because the signal is calculated based on the last candle close and will trigger with the next candle.
I am still looking into why that notification pops up.
You are free to try the indicator for a limited time to be sure.
My experience with the strategy
The overall statistical advantage is great. The strategy can be used simply as it is, but becomes better if you already have some experience with trading. Sometimes it will give you a good entry, reaches your target and the price still goes in your preferred direction. So your trading returns and experience could be improved with confluence, but it is totally fine as it is and if used right will help you get going.
Disclaimer: This is no financial advice. This is a tool and I am not responsible for your actions.
If you are interested in the indicator feel free to dm me on TradingView.
[BullShow] Gray_Hunter_Indicator_v1.0 - Legendary ProfitOver the past 10 years, the price of Bitcoin and cryptocurrency has been dominated by miners. However, since the coronavirus, as the money supply of each government increases and the value of the money decreases accordingly, institutional investors are increasingly intervening in the price of bitcoin. In particular, it is no exaggeration to say that the rise of Bitcoin in recent years was led by institutional investors.
Accordingly, in the past, the indicator of HashRate or Profitability of Mining was an important index for cryptocurrency investment, but now is the time to examine the investment movement of institutions.
This idea is an idea to follow the movement of institutional investors.
I created an index based on the correlation and disparity between the price of institutional investors and the price of bitcoin.
Accuracy increases after the corona, when institutional investors start buying in earnest.
There is no repainting on the chart.
If you are interested in my strategy, Use the link below to obtain access to this indicator or PM me to obtain access
Indicators are shared only with supporters.
Bless you and thanks all!
지난 10년동안 비트코인 및 암호화폐의 가격은 채굴자에 의해 좌지우지 되어 왔습니다. 그러나 코로나바이러스 이후 각 정부의 화폐 공급이 많아지고 그에 따라 화폐가치가 하락하면서 기관투자자의 개입이 조금씩 많아지고 있는 상황입니다. 특히 2020년 최근들어 비트코인의 상승은 기관투자자가 이끌었다고 해도 과언이 아닙니다.
이에따라 과거에는 HashRate 또는 Profitability of Mining의 지표가 암호화폐 투자에 있어서 큰 index였지만 이제는 기관의 투자동향을 보다 더 살펴야 할 때입니다.
그래서 오늘 소개 해 드리고 싶은 전략은 기관의 움직임을 추종하는 전략입니다.
기관투자자들의 매수가격과 비트코인가격의 상관관계 및 이격도를 가지고 지표를 만들었습니다.
기관 투자자들이 본격적으로 매수를 시작하는 코로나 이후 부터 정확도가 증가합니다.
차트에 리페인팅은 없습니다.
Indicator의 공유는 Supporter 분들에게만 해 드리고 있습니다.
축복합니다 언제나 승리하세요!
Indicator Information
* Indicator is only working on the time frame (not support D,W,M and Seconds)
* Initial indicator sets under 1 to buy, over 85 sell
* The accuracy and reliability of indicators rise sharply from 2020, From the point when institutional market intervention increases rapidly
* Other altcoins buy and sell at the same time frame as Bitcoin.
* 해당 인디케이터는 시간 범위에서만 작동합니다 (D, W, M 및 초는 지원하지 않음).
* 초기 지표셋팅은 1아래에서 매수, 85 이상에서 매도
* 지표의 정확성과 신뢰성은 기관의 시장 개입이 급격히 증가하는 2020 년부터 급격히 증가합니다.
* 다른 알트 코인은 비트 코인과 동시에 매매합니다.
Back Testing
Back testing start from 2020. 01 . 01
Initial_capital: 1000
percent_of_equity: 100%
Commission: 0.2%
Profit
BTCUSDT: 559.12%
ETHUSDT: 1675.08%
XRPUSDT: 1121.74%
XLMUSDT: 1003.23%
LINKUSDT: 2087.28%
LTCUSDT: 781.35%
BCHUSDT: 310.89%
BNBUSDT: 706.14%
XMRUSDT: 667.08%
DASHUSDT: 570.35%
TRXUSDT: 796.54%
ADAUSDT: 1352.74%
CIVICUSDT: 3259.17%
IOTAUSDT: 935.22%
WAVESUSDT: 4187.95%
MACD Strategy KMACK Rev 1.1Hull smoothed 45/10 macd
Please note that the macd/rsi values do not print unless the current day is Monday-Friday and the market will be open.
14 period hull smoothed rsi marks the rsi value at each macd reversal and will not signal a long position above 70 or a short position below 30
Macd and rsi will only display on the current day and will only display the last 2 hours
Lit candles occur after 0920 nyse time
Alerts or entries will only fire after 0931 nyse time
Entry signal will confirm with the 5 minute candle.
Long entry requires the current 5 minute candle to close>=hlc3
Short entry requires the current 5 minute candle to close<=hlc3
Buy/sell alerts will only fire in the last 10 seconds of the realtime (current) bar
Options:
Select bias
Modify macd lookback period(s)
Alerts:
Buy
Sell
Rsi crossing into the power region (60)
Rsi crossing into the weakness region (40)
Current strategy exits position upon signal opposite to selected bias, this is for simplicity.
There are currently no add-on strat signals but the alerts/lit candles will fire
Successful trades average >55% with an average profit factor of 3%
Net profit averages 3%
Max drawdown averages below 0.25%
Added order size input
Added show/hide strat signals. Still lights the bars green/red. Make sure your bar color setting in tv is set to a transparent color so you can see the bright reds and greens.
Added a couple lines of code that fire the alert/strat if macd reverses and the corresponding 5min candle does not agree and the following candle does agree. Added an average of 1.5% winning trades.
Message me for free trial access