Grid Bot BacktestingBinance, Bybit, Bitget, and other cross-exchange (grid) trading bot backtesting.
Auto bound: Automatically setting upper and lower price bounds.
Manual: Setting upper and lower price bounds manually.
The graph below represents the overall asset changes (initial investment amount + current position profit + grid profit).
Try using backtesting when setting up a grid bot on the exchange!
바이낸스, 바이비트, 비트겟 등 교차거래(그리드) 봇 백테스팅
Auto bound : 자동으로 상,하단 가격 설정
Manual : 직접 상,하단 가격 설정
아래 그래프는 총 자산 변화입니다.(초기투자금액 + 현재 포지션 수익 + 그리드 수익)
거래소에서 그리드 봇 설정할 때 백테스팅 유용하게 써보세요!
GRID
Hulk Grid Algorithm V2 - The Quant ScienceIt's the latest proprietary grid algorithm developed by our team. This software represents a clearer and more comprehensive modernization of the deprecated Hulk Grid Algorithm. In this new release, we have optimized the source code architecture and investment logic, which we will describe in detail below.
Overview
Hulk Grid Algorithm V2 is designed to optimize returns in sideways market conditions. In this scenario, the algorithm divides purchases with long orders at each level of the grid. Unlike a typical grid algorithm, this version applies an anti-martingale model to mitigate volatility and optimize the average entry price. Starting from the lower level, the purchase quantity is increased at each new subsequent level until reaching the upper level. The initial quantity of the first order is fixed at 0.50% of the initial capital. With each new order, the initial quantity is multiplied by a value equal to the current grid level (where 1 is the lower level and 10 is the upper level).
Example: Let's say we have an initial capital of $10,000. The initial capital for the first order would be $50 * 1 = $50, for the second order $50 * 2 = $100, for the third order $50 * 3 = $150, and so on until reaching the upper level.
All previously opened orders are closed using a percentage-based stop-loss and take-profit, calculated based on the extremes of the grid.
Set Up
As mentioned earlier, the user's goal is to analyze this strategy in markets with a lack of trend, also known as sideways markets. After identifying a price range within which the asset tends to move, the user can choose to create the grid by placing the starting price at the center of the range. This way, they can consider trading the asset, if the backtesting generates a return greater than the Buy & Hold return.
Grid Configuration
To create the grid, it's sufficient to choose the starting price during the launch phase. This level will be the center of the grid from which the upper and lower levels will be calculated. The grid levels are computed using an arithmetic method, adding and subtracting a configurable fixed amount from the user interface (Grid Step $).
Example: Let's imagine choosing 1000 as the starting price and 50 as the Grid Step ($). The upper levels will be 1000, 1050, 1100, 1150, 1200. The lower levels will be 950, 900, 850, 800, and 750.
Markets
This software can be used in all markets: stocks, indices, commodities, cryptocurrencies, ETFs, Forex, etc.
Application
With this backtesting software, is possible to analyze the strategy and search for markets where it can generate better performance than Buy & Hold returns. There are no alerts or automatic investment mechanisms, and currently, the strategy can only be executed manually.
Design
Is possible to modify the grid style and customize colors by accessing the Properties section of the user interface.
Bit Rocket Grid Bot Screener 1.0DESCRIPTION
A grid bot is an automated trading bot that is designed to execute buy and sell orders based on a pre-defined grid of prices. Grid bots operate within a specified price range, placing trades at set intervals above and below the current market price. The key idea behind a grid bot is to take advantage of price fluctuations and market volatility, not looking for trends or breakouts.
The optimal trading pair for a grid bot is one that exhibits frequent oscillations within a predictable range while demonstrating a slight upward trend. In simpler terms, it's a pair that consistently fluctuates within the same range.
The Grid Bot Screener serves as a valuable tool for identifying the most suitable trading pairs, by showing the indicators that matter the most for sideways Grid Bot trading. Most screeners look for trends, breakouts and use indicators that are used for assisting the trader with when to buy and sell. This indicator assists in the selection of pairs that are likely to yield the best results for high volatility sideways trading.
USAGE
This screener looks at volatility, sideways action, ADX, and other indicators that are most helpful when determining the amount and potential volatility, sideways action, and transactions for up to twenty pairs at a time.
Each indicator has a threshold that the user can set themselves, this way the user is in control when comparing or hunting for the optimal pairs.
User selects up to twenty pairs, sets thresholds if different than defaults, then sets length (how far back to look). Once this is set the user can quickly look and compare the results.
KEY INDICATORS
VOLATILITY ACTION - Percentage of Price Action Volatility; Temporal Volatility Trends; Elevated price action signifies accelerated price fluctuations, disregarding directional cues.
SIDEWAYS ACTION - The higher the value, the greater the horizontal movement; a robust trend, which is not our objective, provides no directional insight.
Values exceeding 45 indicate pronounced sideways activity, while lower values approaching zero signify a vigorous trend.
These values do not assist in determining the trend direction.
Higher values imply a more sideways orientation, whereas lower values indicate a more pronounced trend.
ADX - Does not indicate trend direction; instead measures trend strength.
An indicator for price range
Lower values signal a weak trend
Higher values denote a robust trend
Strategy: Look for values of 25 or lower which indicate a ranging or neutral trend.
TXNS SCORE – Transaction Activity.
TXNS indicator represents grid performance and serves as a direct measure of trading activity. TXNS accumulates the number of buy and sell actions, reflecting the user-defined grid percentage.
Elevated transaction numbers signify increased activity, leading to enhanced bot profitability.
NOTE: For an accurate representation of the actual number of transactions, use the Bit Rocket Transactions indicator on the 30min time frame.
CONFIRMATION INDICATORS
While the key indicators are generally reliable on their own, it's also valuable to assess how well the asset is performing and its historical trajectory. The confirmation indicators provide valuable insights into an asset's performance and direction, reinforcing the assessments made through the key indicators, again these indicators on their own are not enough they must be used in conjunction with the key indicators.
VOL - Trading Activity: For assets engaged in sideways trading, sufficient volume is necessary, but it doesn't need to be as high as you might expect.
VOL(USD) - USD-Based Activity: A high USD volume signifies strong market interest.
ROC - Rate of Change Percentage: This metric calculates the percentage change in price over a specified date range. Shows trend direction using price percentage.
• Avoid extremely high or extremely low values.
o Excessively high values may indicate overbought conditions with potential for a price correction.
o Very low values could imply waning interest and diminished asset value.
o Conversely, high values might indicate asset strength, while low values could suggest that the asset has reached a bottom and is unlikely to decrease further.
BOLLINGER BAND WIDTH PERCENT - Average MACD Percentage Width, percent is used with Bollinger bands to allow for comparison with other assets.
RSI - Buying and Selling Pressure Strength: When assessing RSI, look for a balance between buying and selling pressure while still maintaining high volatility and sideways strength. Key RSI levels to consider:
• 40-60: Neutral range, indicating equilibrium and stability.
• Above 70: Approaching overbought conditions.
• Below 30: Nearing oversold conditions.
These confirmation indicators provide valuable insights into an asset's performance and direction, reinforcing the assessments made through the key indicators.
ADDITIONAL INDICATORS
DAYS ON EXCHANGE – This metric reveals how long the crypto pair has been listed on the exchange. It serves multiple purposes, such as assessing the data's historical depth and indicating whether the crypto might be relatively new. Keep in mind that while the asset could exist for a while, it might not have been available on the exchange for an extended period.
PRICE – This merely states the current price, making it suitable for those focusing on price action, it is provided for informational value only.
SAFE RANGE – This percentage indicates the price movement range from the highest to the lowest within a specified data range. Use this to determine the upper and lower levels for setting up your grid range.
Bit Rocket - Grid Bot Transactions 1.0DESCRIPTION
A grid bot is an automated trading bot that is designed to execute buy and sell orders based on a pre-defined grid of prices. Grid bots operate within a specified price range, placing trades at set intervals above and below the current market price. The key idea behind a grid bot is to take advantage of price fluctuations and market volatility.
The Grid Bot Transactions Indicator serves as a valuable tool for identifying the most suitable trading pairs and optimizing the grid bot percentage, also known as the grid level configuration. This indicator assists in the selection of pairs that are likely to yield the best results and aids in determining the ideal configuration for grid bot trading.
USAGE
NUMBER OF TRANSACTIONS - will calculate the number of times the price moves up and down by the grid level percentage for a particular trading pair. Each move up and down is counted as a transaction, total transactions are then calculated from the date range set by the user.
RANGE - number represents the swing from the highest price to the lowest price during the date range set by the user, this will assist in determining what grid range could be used when configuring the grid bot.
GRID STEP (%) - This is the distance for each buy and sell set by the user, for example if the grid step % is set at 2% then for each 2% move up or down that occurs will count as one transaction. Try different grid step percentages to see what percentage produces the best results, too high and transactions will lower but profit per sell transaction will be greater, too small results in higher trading fees and lower profit per sell transaction. Using 1.5% - 5% for the grid step will make the most sense.
Armed with this knowledge the user can now compare against other pairs, determine the optimum grid level percentage, which pairs have more transactions, and determine transaction trend.
SETUP
When you first add the indicator to the chart you will see a pop-up reminding you to set the From Date Time for Bit Rocket Grid Bot Transactions 1.0, just click anywhere on the chart to add.
1. Change timeframe to 30m
2. Under Inputs – Grid Settings change the From Date & Time field
3. Under Inputs – Grid Settings change Size of Grid % or leave at default 2.5%
4. If grid and buy and sell symbols are in the way, go to ‘Style’ tab and turn off all the signals and Lines options.
Extended Parallel ChannelsThis indicator provides an enhanced version of the popular Parallel Channel tool by allowing channel boundaries to be extended above and below the primary channel. It can also serve as a general tool for drawing parallel lines and grid lines to aid technical analysis.
🟠 Application
There are two primary ways extended channels can provide valuable insights:
🔵 Support and Resistance Levels
When prices break out of a channel, they often encounter strong resistance at approximately the 100% extension point. Breakout traders can utilize the extended channel boundary to place take-profit orders. Meanwhile, reversal traders can look for entry opportunities at this level.
🔵 Grid / Martingale Trading
Grid Trading and Martingale Trading strategies rely heavily on grid lines. This indicator streamlines that process by enabling traders to effortlessly plot grid lines across the chart.
🟠 Instructions
Upon adding the indicator, the user will be prompted to set the channel boundaries by placing three anchor points on the chart. The first two anchors determine one boundary line, while the third anchor determine the other boundary line.
Once the three anchors are positioned, the indicator automatically plots the resulting channel as well as the extended lines. The anchor points are highlighted as movable blue circles, allowing the user to dynamically adjust the channel formation by dragging the anchors to new locations as needed.
RSI Box Strategy (pseudo- Grid Bot)This is a strategy intended primarily for algorithmic traders. It's a pseudo-grid bot that uses a dynamic, volume-weighted grid that only updates when the RSI meets certain conditions. It's also a breakout strategy, whereas normal grid bots are not (typical grid bots sell when a higher grid is reached, whereas this strategy sells when a lower grid is breached under specific conditions). This strategy also sells 100% of pyramiding orders on close.
In a nutshell, the strategy updates its grid to the volume-weighted highest/lowest values of your given source ("src" in the settings) each time that there is a RSI crossunder/crossover. From this range it produces an evenly-spaced grid of five lines, and uses the current source to determine which grid line is closest to the source. Then, if the source crosses over the line directly above the current line, it enters a buy order. If the source crosses under the line directly below the current line, it enters a sell order.
You can configure shorts, source, RSI length, and overbought/oversold levels in the settings.
For the strategy results below: fees are at 0.1% per trade, with order size 1% of equity and a max pyramiding value of 33. For a greater R/R profile, you can increase the order size, which will increase drawdown but potentially yield better results.
Auto Range [lovealgotrading]
OVERVIEW:
An indicator that automatically draws a range and generates signals according to changing market conditions. ( This indicator does not REPAINT )
ALGORITHM OF THE INDICATOR:
> When we examine the price, it generally moves in trend only 30 percent of the time and in consolidation 70 percent of the time.
> While the price is consolidating, it creates a range and continues to move within the range until this range is broken, BUT the market conditions are constantly changing and our range levels are expected to change with each new bar. I developed an indicator considering this situation.
> When Range Trading, we determine the high and low levels and we can open trades according to the price's reactions at these levels.
> However, after we draw a range, market conditions constantly change, and opening a transaction without taking into account the changing market conditions is an obstacle to our success.
IMPLEMENTATION DETAILS WITH EXAMPLE:
What kind of algorithm do I use to draw a range automatically?
For example, let's set the Number of line value to 4 and set our Period to 14.
1- Let our highest 4 values be = 100, 110, 120, 130, the average of these values is
2- (100+110+120+130)/4 = 115, in this case our Range High Value becomes 115.
3- Within the period we have determined (we have currently set 14, but you can change it), the price sees the highest level of 140.
4- In this case, our 4 largest levels = 110 120 130 140 and our average becomes (110 + 120 + 130 + 140) / 4 = 125 and the range high Our level changes automatically and becomes 125.
5- Let's take the example below, where we determine our 4 highs within the 14 bars we set and average them, if our high changes, our range high goes up.
>> I tried to draw the change with the red arrow
How does this situation appear on the indicator?
>>> Classic Range Trade and Auto Range Trade <<<
Classical Range Trade:
Auto Range Trade:
SETTINGS PANEL:
Which Signals Are More Important (Example Study)
If you have any ideas what to add to my work to add more sources or make calculations cooler, suggest in DM .
Grid by Volatility (Expo)█ Overview
The Grid by Volatility is designed to provide a dynamic grid overlay on your price chart. This grid is calculated based on the volatility and adjusts in real-time as market conditions change. The indicator uses Standard Deviation to determine volatility and is useful for traders looking to understand price volatility patterns, determine potential support and resistance levels, or validate other trading signals.
█ How It Works
The indicator initiates its computations by assessing the market volatility through an established statistical model: the Standard Deviation. Following the volatility determination, the algorithm calculates a central equilibrium line—commonly referred to as the "mid-line"—on the chart to serve as a baseline for additional computations. Subsequently, upper and lower grid lines are algorithmically generated and plotted equidistantly from the central mid-line, with the distance being dictated by the previously calculated volatility metrics.
█ How to Use
Trend Analysis: The grid can be used to analyze the underlying trend of the asset. For example, if the price is above the Average Line and moves toward the Upper Range, it indicates a strong bullish trend.
Support and Resistance: The grid lines can act as dynamic support and resistance levels. Price tends to bounce off these levels or breakthrough, providing potential trade opportunities.
Volatility Gauge: The distance between the grid lines serves as a measure of market volatility. Wider lines indicate higher volatility, while narrower lines suggest low volatility.
█ Settings
Volatility Length: Number of bars to calculate the Standard Deviation (Default: 200)
Squeeze Adjustment: Multiplier for the Standard Deviation (Default: 6)
Grid Confirmation Length: Number of bars to calculate the weighted moving average for smoothing the grid lines (Default: 2)
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
CE - Market Performance TableThe 𝓜𝓪𝓻𝓴𝓮𝓽 𝓟𝓮𝓻𝓯𝓸𝓻𝓶𝓪𝓷𝓬𝓮 𝓣𝓪𝓫𝓵𝓮 is a sophisticated market tool designed to provide valuable insights into the current market trends and the approximate current position in the Macroeconomic Regime.
Furthermore the 𝓜𝓪𝓻𝓴𝓮𝓽 𝓟𝓮𝓻𝓯𝓸𝓻𝓶𝓪𝓷𝓬𝓮 𝓣𝓪𝓫𝓵𝓮 provides the Correlation Implied Trend for the Asset on the Chart. Lastly it provides information about current "RISK ON" or "RISK OFF" periods.
Methodology:
𝓜𝓪𝓻𝓴𝓮𝓽 𝓟𝓮𝓻𝓯𝓸𝓻𝓶𝓪𝓷𝓬𝓮 𝓣𝓪𝓫𝓵𝓮 tracks the 15 underlying Stock ETF's to identify their performance and puts the combined performances together to visualize 42MACRO's GRID Equity Model.
For this it uses the below ETF's:
Dividends (SPHD)
Low Beta (SPLV)
Quality (QUAL)
Defensives (DEF)
Growth (IWF)
High Beta (SPHB)
Cyclicals (IYT, IWN)
Value (IWD)
Small Caps (IWM)
Mid Caps (IWR)
Mega Cap Growth (MGK)
Size (OEF)
Momentum (MTUM)
Large Caps (IWB)
Overall Settings:
The main time values you want to change are:
Correlation Length
- Defines the time horizon for the Correlation Table
ROC Period
- Defines the time horizon for the Performance Table
Normalization lookback
- Defines the time horizon for the Trend calculation of the ETF's
- For longer term Trends over weeks or months a length of 50 is usually pretty accurate
Visuals:
There is a variety of options to change the visual settings of what is being plotted and the two table positions and additional considerations.
Everything that is relevant in the underlying logic that can help comprehension can be visualized with these options.
Market Correlation:
The Market Correlation Table takes the Correlation of the above ETF's to the Asset on the Chart, it furthermore uses the Normalized KAMA Oscillator by IkkeOmar to analyse the current trend of every single ETF.
It then Implies a Correlation based on the Trend and the Correlation to give a probabilistically adjusted expectation for the future Chart Asset Movement. This is strengthened by taking the average of all Implied Trends.
With this the Correlation Table provides valuable insights about probabilistically likely Movement of the Asset, for Traders and Investors alike, over the defined time duration.
Market Performance:
𝓜𝓪𝓻𝓴𝓮𝓽 𝓟𝓮𝓻𝓯𝓸𝓻𝓶𝓪𝓷𝓬𝓮 𝓣𝓪𝓫𝓵𝓮 is the actual valuable part of this Indicator.
It provides valuable information about the current market environment (whether it's risk on or risk off), the rough GRID models from 42MACRO and the actual market performance.
This allows you to obtain a deeper understanding of how the market works and makes it simple to identify the actual market direction.
Utility:
The 𝓜𝓪𝓻𝓴𝓮𝓽 𝓟𝓮𝓻𝓯𝓸𝓻𝓶𝓪𝓷𝓬𝓮 𝓣𝓪𝓫𝓵𝓮 is divided in 4 Sections which are the GRID regimes:
Economic Growth:
Goldilocks
Reflation
Economic Contraction:
Inflation
Deflation
Top 5 Equity Style Factors:
Are the values green for a specific Column? If so then the market reflects the corresponding GRID behavior.
Bottom 5 Equity Style Factors:
Are the values red for a specific Column? If so then the market reflects the corresponding GRID behavior.
So if we have Goldilocks as current regime we would see green values in the Top 5 Goldilocks Cells and red values in the Bottom 5 Goldilocks Cells.
You will find that Reflation will look similar, as it is also a sign of Economic Growth.
Same is the case for the two Contraction regimes.
Simple Grid Lines VisualizerAbout Grid Bots
A grid bot is a type of trading bot or algorithm that is designed to automatically execute trades within a predefined price range or grid. It is commonly used in markets that exhibit ranging or sideways movement, where prices tend to fluctuate within a specific range without a clear trend.
The grid bot strategy involves placing a series of buy and sell orders at regular intervals within the predefined price range or grid. The bot essentially creates a grid of orders, hence the name. When the price reaches one of these levels, the bot will execute the corresponding trade. For example, if the price reaches a predefined lower level, the bot will buy, and if it reaches a predefined upper level, it will sell.
The purpose of the grid bot strategy is to take advantage of the price oscillations within the range. As the price moves up and down, the bot aims to generate profits by buying at the lower end of the range and selling at the higher end. By repeatedly buying and selling at these predetermined levels, the bot attempts to capture gains from the price fluctuations.
About this Script
Simple Grid Lines Visualizer is designed to assist traders in visualizing and implementing automated price grids on their charts. With just a few inputs, this script generates gridlines based on your specified top price, bottom price, and the number of grids or profit per grid.
How it Works:
Specify Top and Bottom Prices: Start by setting the top and bottom prices that define the range within which the gridlines will be generated. These prices can be based on support and resistance levels, historical data, or any other factors you consider relevant to your analysis.
Determine Grid Parameters: Choose either the number of grids or profit per grid, depending on your preference and trading strategy. If you select the number of grids, the script will evenly distribute the gridlines within the specified price range. Alternatively, if you opt for profit per grid, the script will calculate the price increment required to achieve your desired profit level per grid.
Note that when choosing Profit per Grid , an approximation usually is performed, as all grid lines must be evenly distributed. To achieve that, the script computes the grid distance using the mean price between top and bottom, then computes how many of those complete distances may enter the entire range, and lastly, creates a grid with evenly distributed distances as close as possible to the previously computed.
Customize Styling and Display: Adjust the line color, line style, transparency, and other visual aspects to ensure clear visibility on your charts.
Analyze and Trade: Once the gridlines are plotted on your chart, carefully observe how the market interacts with them. The gridlines can act as reference points for potential support and resistance levels, as well as simple buy/sell orders for a trading bot.
Try to find gridlines that intersect prices as frequently as possible from one to another.
A grid with too many lines will make lots of potential trades, but the amount traded will be minimal (as the total amount invested is divided over the number of grids).
A grid with too few lines will make lots of profits with each trade, but the trades will be less likely to occur (depending on the top/bottom distance).
This tool aims to help visually which grid parameters seem to optimize this problem.
Future versions may include automatic profit computation.
Grid Spot Trading Algorithm V2 - The Quant ScienceGrid Spot Trading Algorithm V2 is the last grid trading algorithm made by our developer team.
Grid Spot Trading Algorithm V2 is a fixed 10-level grid trading algorithm. The grid is divided into an accumulation area (red) and a selling area (green).
In the accumulation area, the algorithm will place new buy orders, selling the long positions on the top of the grid.
BUYING AND SELLING LOGIC
The algorithm places up to 5 limit orders on the accumulation section of the grid, each time the price cross through the middle grid. Each single order uses 20% of the equity.
Positions are closed at the top of the grid by default, with the algorithm closing all orders at the first sell level. The exit level can be adjusted using the user interface, from the first level up to the fifth level above.
CONFIGURING THE ALGORITHM
1) Add it to the chart: Add the script to the current chart that you want to analyze.
2) Select the top of the grid: Confirm a price level with the mouse on which to fix the top of the grid.
3) Select the bottom of the grid: Confirm a price level with the mouse on which to fix the bottom of the grid.
4) Wait for the automatic creation of the grid.
USING THE ALGORITHM
Once the grid configuration process is completed, the algorithm will generate automatic backtesting.
You can add a stop loss that destroys the grid by setting the destruction price and activating the feature from the user interface. When the stop loss is activated, you can view it on the chart.
Volume Profile Matrix [LuxAlgo]The Volume Profile Matrix indicator extends from regular volume profiles by also considering calculation intervals within the calculation window rather than only dividing the calculation window in rows.
Note that this indicator is subject to repainting & back-painting, however, treating the indicator as a tool for identifying frequent points of interest can still be very useful.
🔶 SETTINGS
Lookback: Number of most recent bars used to calculate the indicator.
Columns: Number of columns (intervals) used to calculate the volume profile matrix.
Rows: Number of rows (intervals) used to calculate the volume profile matrix.
🔶 USAGE
The Volume Profile Matrix indicator can be used to obtain more information regarding liquidity on specific time intervals. Instead of simply dividing the calculation window into equidistant rows, the calculation is done through a grid.
Grid cells with trading activity occurring inside them are colored. More activity is highlighted through a gradient and by default, cells with a color that are closer to red indicate that more trading activity took place within that cell. The cell with the highest amount of trading activity is always highlighted in yellow.
Each interval (column) includes a point of control which highlights an estimate of the price level with the highest traded volume on that interval. The level with the highest traded volume of the overall grid is extended to the most recent bar.
AUTOMATIC GRID BOT STRATEGY [ilovealgotrading]
OVERVIEW:
This Grid trading strategy can help you maximize your profit in a ranging sideways market with no clear direction.
INDICATOR:
We can get some money by taking advantage of the movement of the price between the range we have determined.
Short positions are opened while the price is rising, long positions are opened while the price is falling.
Therefore, there is no need to predict the trend direction.
What is different in this indicator:
I want to say thank you to © thequantscience. His GRID SPOT TRADING ALGORITHM - GRID BOT TRADING strategy helped me when I was writing my indicator.
I want to explain what I have improved:
1- Grid strategy is a type of strategy that can be traded in very short time frames and users can trade this strategy algorithmically by connecting this strategy to their own accounts with the help of API systems. For this reason, I have developed a software that can give us signals by dynamically changing the long and short messages when users are trading.
2- We can change the start and end dates of our grid bot as we want. It is necessary to use this setting when setting up automatic bots, so that previously opened transactions are not taken into account.
3 - Lot or quantity size should not be excessively small when users are taking automatic trades because exchanges have limitations, to avoid this problem, I have prevented this error by automatically rounding up to the nearest quantity size inside the software.
4 - Users can avoid excessive losses by using stop loss on this grid bot if they wish.
5 - When our price is over the range high or below the range low, our open positions are closed, if the stop button is active. We can also change which close price time frame we take as a basis from the settings.
6 -Users can set how many dollars they can enter per transaction while performing their transactions automatically.
IMPLEMENTATION DETAILS – SETTINGS:
This script allows the user to choose the highs and lows leves of our range. Our bot trades in the specified range.
1. This strategy allows us to set start and end backtest dates.
2. We can change range high and range low leves of our bot
3. IF people want to trade algorithmically with the help of this bot, there are 6 different input systems that will receive the Json codes as an alarm
4. IF the price closes above the upper line or below the lower line, all transactions will be closed. We can determine in which time frame our transactions will be stopped if the price closes outside these levels.We can adjust how our bot works by activating or turning off the Stop Loss button.
5. In this strategy, you can determine your dollar cost for per position.
6. The user can also divide the interval we have determined into 10 parts or 20 equal parts.
7. The grid is divided and colored at the interval we set. At the same time, if we don't want we can turn off colored channels.
Notes:
If you're going to connect this bot to an automatic Long and Short direction,
Don’t forget! you need to Webhook URL,
Don’t miss paste this code to your message window {{strategy.order.alert_message}}
ALSO:
Set your range below the support zones and above the resistance zones.
Don't be afraid to take a wide range, it doesn't matter if you make a little money, the important thing is that you don't lose money.
If you have any ideas what to add to my work to add more sources or make calculations cooler, suggest in DM .
Grid Range Volatility BasedThis TradingView Pine script implements a grid range volatility based indicator that displays dynamic horizontal lines on the chart. The lines are calculated based on the average true range (ATR) of the security being plotted, and the range can be adjusted using an input parameter. The distance between the top and bottom lines is displayed as a percentage in a dynamic label that updates with each new bar.
The script allows the user to choose whether to use red or black lines, and also provides options to set the number of days for range calculations, and the calculation type (either ATR(1) or ATR(x)). The script is designed to work with stocks, forex, and other securities that have price data.
To use this script, simply attach it to a chart and adjust the input parameters to suit your analysis needs. The dynamic lines and percentage label will be displayed on the chart, providing a visual representation of the range volatility of the security being plotted. The values of the highest and lowest lines can also be displayed as labels on the price axis, providing additional context for the range volatility.
Scaled Order Sizing and Take Profit Target ArraysWOAH Order Scaling!
This Provides a user with methods to create a list of profit targets and order sizes which grow or shrink. For size, the will add up to specific sum. for Targets they will include the first and last, and can lean towards either, to scale the order grid.
And thanks to @Hoanghetti for the markdown, i've included a basic usage example within the hover , o you don't need to search for the usage example, simply import, and when writing, the code hint contains a full example.
scaled_sizes(total_size, count, weight, min_size, as_percent)
create an array of sizes which grow or shrink from first to last
which add up to 1.0 if set the as_percent flag , or a total value / sum.
Parameters:
total_size : (float) total size to divide ito split
count : (int ) desired number of splits to create
weight : (float) a weight to apply to grow or shrink the split either towards the last being most, or the first being most, or 1.0 being each is equally sized as 1/n count
min_size : (float) a minimum size for the smallest value (in value of ttotal_size units)
as_percent : (float) a minimum size for the smallest value (in value of total_size units)
Returns: Array of Sizes for each split
scaled_targets(count, weight, minimum, maximum)
create a list of take profitt targets from the smallest to larget distance
Parameters:
count : (int ) number of targets
weight : (float) weight to apply to growing or shrinking
minimum : (float) first value of the output
maximum : (float) last value of the output
Returns: Array of percentage targets
basilGrid GridBot Live [basilChart]This strategy is a full implementation of Live Grid Trading.
Prominent features of this live grid trading strategy are:
- Logarithmic Chart Support: This strategy can support Log Scale on graph. Meaning that grid lines won't have irregular gaps in between the lines if you would like to view the chart Log Scaled. Every line will be aligned correctly even if you use Log Scale or not.
- Precise Buy & Sell: Script will execute precise Buy and Sell orders.
- Dynamic Grid Level Count: From 2 grid levels to n amount of grid levels are supported. There is no limitation on grid level count, however there may be irregularities because of limitations when higher grid levels are used. You can pick any number starting from 2.
- Average Price: Traders can monitor average price of positions.
- Alerts: When order is filled trader can receive notification. Create new alert > Select basilGrid Live > Order fills only()
Characteristics of this script:
- Able to fill more than one order in one single candle.
- Levels will keep being updated with every trade.
- There will be always one grid level ignored and it will be the level which made the last order filling possible. This is normal behavior of grid trading system.
- You can both use Log Scale and Normal Scale with this script. No issue will be on grid levels.
Using the script:
- Add this script to the chart from indicators tab
- Set starting date for the live grid bot either by dragging and dropping the vertical line or by the date-time picker from indicator Inputs tab.
- Set highest and lowest limit for the script. These will be the boundary limits. Highest and lowest price for the script to work on. Lines will populate between these two values
- Set grid level count. Number of levels of the grid.
- Set amount to spend on per level. This quantity of order will be placed on each level when needed.
After setting the above settings, there is one last thing to do in order to get precise results. It is setting the Initial Capital.
- We can set this setting from 'Properties' tab. Named 'Initial Capital'. After setting the boundaries all we need to is to navigate to TradingView's own 'Data Window', and get the value there. Then paste it on the strategy's own related setting area.
In this example we used pair BTCUSDT 1D timeframe, our settings are:
Inputs Tab:
- Grid Count: 19
- High Limit: 65 500
- Low Limit: 15 000
- Quantity per level: 0.1
- Toggle Log Scale: Checked (because I always use Log Scale on charts, if Log Scale is turned on for the chart, this needs to be checked)
- Terminate Grid At The Upmost Level: Not checked
- Show Grid Levels: Checked
- Show Average Position Price: Checked
Properties Tab:
- Initial Capital: 22 628
- Slippage: 5
- Commission: 0.1% (this is the broker commission value)
This script's purpose is to make it easier to get the idea of grid trading, experiencing it in live session.
bc Grid Backtest v1.4This strategy is a full implementation of Grid Trading backtest.
Prominent features of this backtesting strategy are:
- Logarithmic Chart Support: This strategy can support Log Scale on graph. Meaning that grid lines won't have irregular gaps in between the lines if you would like to view the chart Log Scaled. Every line will be aligned correctly even if you use Log Scale or not.
- Precise Buy & Sell: Script will execute precise Buy and Sell orders.
- Dynamic Grid Level Count: From 2 grid levels to n amount of grid levels are supported. There is no limitation on grid level count. You can pick any number starting from 2.
- Customized Backtesting Results Table: A table which includes data for those who want to know has been added at top right. It can be disabled.
Characteristics of this script:
- Able to fill more than one order in one single candle.
- Levels will keep being updated with every trade.
- There will be always one grid level ignored and it will be the level which made the last order filling possible. This is normal behavior of grid trading system.
- You can both use Log Scale and Normal Scale with this script. No issue will be on grid levels.
Using the script:
- Add this script to the chart from indicators tab
- Set starting and ending date for the grid backtesting bot either by dragging and dropping the vertical lines or by the date-time picker from indicator Inputs tab.
- Set highest and lowest limit for the script. These will be the boundary limits. Highest and lowest price for the script to work on. Lines will populate between these two values
- Set grid level count. Number of levels of the grid.
- Set amount to spend on per level. This quantity of order will be placed on each level when needed.
After setting the above settings, there is one last thing to do in order to get precise results. It is setting the Initial Capital.
- We can set this setting from 'Properties' tab. Named 'Initial Capital'. After setting the boundaries all we need to is to navigate to TradingView's own 'Data Window', and get the value there. Then paste it on the strategy's own related setting area.
In this example we used pair BTCUSDT 4h timeframe, our settings are:
Inputs Tab:
- Grid Count: 13
- High Limit: 72 000
- Low Limit: 17 000
- Logarithmic Grids: Checked (because I always use Log Scale on charts, if Log Scale is turned on, this needs to be checked)
- Quantity per level: 0.1
- Show Table: Checked
- Show Grid Levels: Checked
- Show Average Position Price: Checked
Properties Tab:
- Initial Capital: 24 902
- Slippage: 5
- Commission: 0.1% (this is the broker commission value)
This script's purpose is to make simulating possible outcomes between two dates. Therefore making it easier to get the idea of grid trading, finding the best settings for your risk management and for your portfolio.
Grid Indicator - The Quant ScienceQuickly draw a 10-level grid on your chart with our open-source tool.
Our grid tool offers a unique solution to traders looking to maximize their profits in volatile market conditions. With its advanced features, you can create customized grids based on your preferred start price and line distance, allowing you to easily execute trades and capitalize on price movements. The tool works automatically, freeing up your time to focus on other important aspects of your trading strategy.
The benefits of using this tool are numerous. Firstly, it eliminates the need for manual calculation, making the analysis process much more efficient. Secondly, the automatic nature of the tool ensures that each grids are draw at precisely prices, giving you the best possible chance of maximizing your analysis. Finally, the ability to easily customize grids means that you can adapt your strategy quickly and effectively, even in rapidly changing market conditions.
So why wait? Take control of your trading and start using our innovative grid tool today! With its advanced features and ease of use, it's the perfect solution for traders of all levels looking to take their trading to the next level.
HOW TO USE
Using it is easy. Add the script to your chart and set the price and distance between the grids.
Assassin's Grid
Introduction: Are you a fan of automated grid-based trading and holding onto your crypto assets like they're the last Snickers bar in the world? If so, this Pine script could be your new best friend!
Grid Trading Genius: The script uses some seriously advanced grid trading techniques to automatically place orders at different price levels, creating a mesh of positions that move with the market like a well-oiled machine. This strategy can be great for traders who are willing to sit back and let their positions grow like a fine wine over time.
Optimization Features: The script comes loaded with all sorts of features and tools to help traders optimize their grid positions, like position exits and custom alerts for creating limit and market orders. This helps keep traders in the loop and allows them to take action as needed, like a ninja in the night.
Unique Twists: One of the unique features of this script is the option to choose between normal or incremental entry steps in a 1,2,3,... ratio. By choosing incremental entries, traders can potentially improve their average price and increase their potential profits like a boss. Just keep in mind that this script doesn't have a stop loss feature, but it does include the option to sell without profit on the final entry or on all entries if desired. Additionally, the script is always open to improvement and any ideas for improving it are welcome, like a blank canvas.
Conclusion: If you love automated trading and have the patience and determination to stick to a solid strategy, this Pine script could be a great fit for you. It's suitable for traders who are comfortable with more complex trading approaches and are willing to put in the time and effort to learn and master the script's various features and techniques, like a Jedi Knight
Moving Grid Trader - With AlertsThis script used a grid system that is set when a "buy" signal is sent to generate profits inside of a range. This script used macd to weed out bad buys and then sells once the price either reaches the grid - or hits the stoploss. This works best in bullish and ranging markets.
Ultimate Grid Tool + Alerts (DCA & Limit Orders) [enzedengineer]Overview
The "Ultimate Grid Tool + Alerts" script works much like a grid bot from automated trading services such as 3Commas making it a good free alternative with some extra utility.
How it works
The user is prompted to set up a grid by manually defining a lower and upper range and then by selecting how many grid segments they want (max 20). The script will automatically create equally spaced grids within this defined range. The script has built in alerts which are intended to be used in conjunction with a third-party application to execute buy and sell orders on an exchange.
The script has two alert functionalities to choose between:
Limit orders (like traditional grid bots) or;
DCA zones (time-based)
DCA zones:
This is the default selection. Each zone has its own alert condition which is triggered if the price closes within that zone. The frequency of the alert is determined by the user's chart resolution, therefore you can have the alert trigger every day, or 4 hours, or 30 minutes and so on. This allows for flexibility, for example, you could go from DCA'ing at $20 per day at higher prices to $100 per day as the price drops into the lower end of your grid range.
Limit orders:
This mode is selected by checking the "Limit Order" box. As mentioned earlier, this mode works like traditional grid bots with each grid line representing a limit order. The alert condition is met when ta.cross(close, gridline) = true.
Buy and Sell:
This mode is selected by checking the "Buy and Sell" box. This is a visual modification only which changes the colour of the grids to help plan the user's trading. Please note, there is no buying or selling logic within the script itself - this should be built into the alert message to be used with a third-party application for exchange order execution.
Use case: The author of this script has been using it with the default settings to DCA into Bitcoin in the current bear market. Using a chart resolution of 15 minutes the script purchases x-amount of Bitcoin every 15 minutes (Alertatron executes the exchange orders). This method provides a well blended average price and takes away the internal conundrum of "should I buy some today". No matter what, the bot will make a purchase within at least 15 minutes of the ultimate Bitcoin bottom and arguably this gives a psychological edge and reduces FOMO (fear of missing out).
Grid Premium Indicator - The Quant ScienceGrid Premium Indicator - The Quant Science™ is an indicator that represent the grid trading strategy. Unlike our GRID SPOT TRADING ALGORITHM (which buys in a "buy the dip" style, offering a swing type operation) this indicator uses a trend following strategy with a larger number of grids.
A trend-following strategy in a grid algorithm allows you to open long positions if price rises and breaks up or open short positions if price breaks down.
This indicator was created following the guidelines of the best grid algorithms on 3Commas, Bitsgap, Kucoin, and Binance.
Our goal is to recreate a universal and trust model for all traders and investors who use grid algorithms for their trading.
The ideal market condition as for all grid algorithms is the side market. In the side market this algorithm will create profit during upward movements.
The trader using this algorithm can use it to:
1. Manual trading
2. Backtesting
3. Algorithmic trading
HOW TO SET UP
Using this indicator is very simple. We have configured the creation for a three-step set up. You can manage it without any problems experience in coding. All you have to do is click the grid start and end level and the indicator will automatically load generating the grids and backtesting.
OPERATIVITY
Each open trade is long and is opened when the price crossover an upward level. Each order is closed at the next level. If the price breaks upward or downward the extremes of the grid the algorithm stops trading and will not open any more positions.
FEATURES
Grids: this indicator generates 20 levels of grids.
Direction: opens exclusively long positions.
Strategy: trend-following.
Data table: a table collects all the quantitative data on the strategy's performance. By entering your broker's commission costs and initial capital you will have an instant report on the strategy's performance.
MAIN ADVANTAGE
Compound Interest: the high number of grids allows the gains from each trade to be reinvested quickly by speeding capitalization through compound interest.
LIMITATIONS OF THE MODEL
Like all grid strategies, maximum profit is made when the market is flat or sideways. A market with a bullish or bearish trend does not allow you to generate good profits with this strategy.
Grid Settings & MMThis script is designed to help you plan your grid trading or when averaging your position in the spot market.
The script has a small error (due to the simplification of the code), it does not take into account the size of the commission.
You can set any values on all parameters on any timeframe, except for the number of orders in the grid (from 2 to 5).
The usage algorithm is quite simple:
1. Connect the script
2. Install a Fibo grid on the chart - optional (settings at the bottom of the description)
3.On the selected pair, determine the HighPrice & LowPrice levels and insert their values
4.Evaluate grid data (levels, estimated profit ’%’, possible profit ‘$’...)
And it's all)
Block of variables for calculating grid and MM parameters
Variables used regularly
--- HighPrice and LowPrice - constant update when changing pairs
--- Deposit - deposit amount - periodically set the actual amount
Variables that do not require permanent changes
--- Grids - set the planned number of grids, default 5
--- Steps - the planned number of orders in the grid, by default 5
--- C_Order - coefficient of increasing the size of orders in the base coin, by default 1.2
--- C_Price - trading levels offset coefficient, default 1.1
--- FirstLevel - location of the first buy level, default 0.5
--- Back_HL - number of candles back, default 150
*** For C_Order and C_Price variables, the value 1 means the same order size and the same distance between buy levels.
The fibo grid is used for visualization, you can do without it, ! it is not tied to the script code !
You can calculate the levels of the Fibo grid using the formula:
(level price - minimum price) / (maximum price - minimum price)
For default values, grid levels are as follows:
1 ... 0.5
2...0.359
3 ... 0.211
4...0.0564
5...-0.1043
Short description:
in the upper right corner
--- indicator of the price movement for the last 150 candles, in % !!! there is no task here to "catch" the peak values - only a relative estimate.
in the upper left corner
--- total amount of the deposit
--- the planned number of grids
--- “cost” of one grid
--- the size of the estimated profit depending on the specified HighPrice & LowPrice
in the lower left corner
--- Buy - price levels for buy orders
--- Amount - the number of purchased coins in the corresponding order
--- Sell - levels of profit taking by the sum of market orders in the grid
--- $$$ - the sum of all orders in the grid, taking into account the last active order
--- TP - profit amount by the amount of orders in the grid
