Rocket Grid Algorithm - The Quant ScienceThe Rocket Grid Algorithm is a trading strategy that enables traders to engage in both long and short selling strategies. The script allows traders to backtest their strategies with a date range of their choice, in addition to selecting the desired strategy - either SMA Based Crossunder or SMA Based Crossover.
The script is a combination of trend following and short-term mean reversing strategies. Trend following involves identifying the current market trend and riding it for as long as possible until it changes direction. This type of strategy can be used over a medium- to long-term time horizon, typically several months to a few years.
Short-term mean reversing, on the other hand, involves taking advantage of short-term price movements that deviate from the average price. This type of strategy is usually applied over a much shorter time horizon, such as a few days to a few weeks. By rapidly entering and exiting positions, the strategy seeks to capture small, quick gains in volatile market conditions.
Overall, the script blends the best of both worlds by combining the long-term stability of trend following with the quick gains of short-term mean reversing, allowing traders to potentially benefit from both short-term and long-term market trends.
Traders can configure the start and end dates, months, and years, and choose the length of the data they want to work with. Additionally, they can set the percentage grid and the upper and lower destroyers to manage their trades effectively. The script also calculates the Simple Moving Average of the chosen data length and plots it on the chart.
The trigger for entering a trade is defined as a crossunder or crossover of the close price with the Simple Moving Average. Once the trigger is activated, the script calculates the total percentage of the side and creates a grid range. The grid range is then divided into ten equal parts, with each part representing a unique grid level. The script keeps track of each grid level, and once the close price reaches the grid level, it opens a trade in the specified direction.
The equity management strategy in the script involves a dynamic allocation of equity to each trade. The first order placed uses 10% of the available equity, while each subsequent order uses 1% less of the available equity. This results in the allocation of 9% for the second order, 8% for the third order, and so on, until a maximum of 10 open trades. This approach allows for risk management and can help to limit potential losses.
Overall, the Rocket Grid Algorithm is a flexible and powerful trading strategy that can be customized to meet the specific needs of individual traders. Its user-friendly interface and robust backtesting capabilities make it an excellent tool for traders looking to enhance their trading experience.
Gridtrading
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.
Grid Strategy Back Tester (Long/Short/Neutral)Preface
I'd like to send a thank you to @xxattaxx-DisDev.
The 'Line' Code, which was the most difficult to plan the Grid Indicator, was solved through the 'Grid Bot Simulator' script of @xxattaxx-DisDev.
A brief description of the indicators
These indicators are designed for backtesting of grid trading that can be opened on various exchanges.
Grid trading is a method of selling at particular intervals as prices rise and fall for gird interval price range.
This indicator is actually designed to see what the Long / Short / Neutral grid has achieved and how much it has achieved over a given period of time.
How to use
1. Lower Limit and Upper Limit are required when putting indicators on the chart.
After that, choose the 'Time' when to open the grid.
Also, select Long / Short / Neutral direction if necessary.
2. Statistics Table
Matched Grid shows how many grid pairs were engaged during the backtesting period.
The Daily Average Matching Profit is calculated based on the number of these closed grids.
Total Matching Profit is calculated as Matching Grid * Per Matching Profit.
Position Profit/Loss shows the benefits and losses from your current position.
Total Profit/Loss is sum of Total Matching Profit and Position Profit/Loss.
The Expanded APY shows the benefits of running the strategy on these terms for a year.
Max Loss of Upper is the maximum loss assumed to be directly at the top of the grid range.
BEP days (Upper) show how many days of maintenance relative to Average Matching Profit can result in greater profit than maximum loss if the grid continues to move within range.
(In the case of Long Strategy, it appears to be 'Min Profit', which shows minimal benefit if it reaches the top.)
Max Loss of Lower and BEP days (Lower) shows the opposite.
(In the case of Short Strategy, it is also referred to as 'Min Profit', which shows minimal benefit if it reaches the bottom.)
3. Grid Info
Total Grid Number, Upper Limit, and Lower Limit show the values you set in INPUT.
Grid Open Price shows the price for the period you decide to open.
Starting Position shows the number of positions that were initially held in the case of a Long / Short Strategy.
(0 for Neutral Strategy)
Per Grid qty shows how many positions are allocated to one grid
Grid Interval shows the spacing of each grid.
Per Matched Profit shows how much profit is generated when a single grid is matched.
Caution
Backtesting results for these indicators may vary depending on the time frame.
Therefore, I recommend that you use it only to compare Profit/Loss over time.
*In addition, there is a problem that all lines in the grid are not implemented, but it is independent of the backtest results.
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서문
지표를 기획함에 있어서 가장 어려웠던 line 코드를 @xxattaxx-DisDev의 'Grid Bot Simulator' 스크립트를 통해 해결할 수 있었습니다.
이에 감사의 말씀을 드립니다.
해당 지표에 대한 간단한 설명
해당 지표는 다양한 거래소에서 오픈할 수 있는 그리드 매매에 대한 백테스팅을 위해 만들어졌습니다.
그리드매매는, 특정 가격 구간에 대해 가격이 오르고 내림에 따라 일정 간격에 맞춰 매매를 하는 방식입니다.
이 지표는 실질적으로 롱/숏/중립 그리드가 어떠한 성과를, 특정 기간동안 얼마나 냈는지를 확인하고자 만들어졌습니다.
사용방법
1. 인풋
지표를 차트위에 넣을 때, Lower Limit과 Upper Limit이 필요합니다.
그 후 그리드를 언제부터 오픈할 것인지를 선택하세요.
또, 필요하다면 Long / Short / Neutral의 방향을 선택하세요.
2. 그리드 통계
Matched Grid는, 백테스팅 기간동안 체결된 그리드 쌍이 몇개인지를 보여줍니다.
이 체결된 그리드의 갯수를 바탕으로 Daily Average Matched Profit이 계산됩니다.
Total Matched Profit은, Matched Grid * Per Matched Profit으로 계산됩니다.
Position Profit/Loss는, 현재 갖고 있는 포지션으로 인한 이익과 손실을 보여줍니다.
Total Matched Profit과 Position Profit/Loss를 합친 금액이 Total Profit/Loss가 됩니다.
Expcted APY는, 이러한 조건으로 전략을 1년동안 운영했을 때의 이익을 보여줍니다.
Max Loss of Upper는, 그리드 범위의 최상단에 바로 도달했을 경우를 가정한 최대 손실입니다.
BEP days(Upper)는, 그리드가 범위 내에서 계속 움직일 경우, Average Matched Profit을 기준으로 며칠동안 유지되어야 최대손실보다 더 큰 이익이 발생할 수 있는지를 보여줍니다.
(Long Strategy의 경우, ‘Min Profit’이라고 나타나는데, 최상단에 도달했을 경우 최소한의 이익을 보여줍니다)
Max Loss of Lower는 그 반대의 경우를 보여줍니다.
(Short Strategy의 경우, 역시 ‘Min Profit’이라고 나타나는데, 최하단에 도착했을 경우 최소한의 이익을 보여줍니다)
3. 그리드 정보
그리드 갯수, Upper Limt, Lower Limt은 자신이 설정한 값을 보여줍니다.
Grid Open Price는, 자신이 오픈하기로 정했던 기간의 가격을 보여줍니다.
Starting Position은, 롱/숏 그리드의 경우에 처음에 들고 시작했던 포지션의 갯수를 보여줍니다.
Neutral Strategy의 경우 0입니다.
Per Grid qty는, 하나의 그리드에 얼마만큼의 포지션이 배분되었는지를 보여주며
Grid Interval은 각 그리드의 간격을 보여줍니다.
또, Per Matched Profit은 하나의 그리드가 체결될 때 얼마만큼의 이익이 발생하는 지를 보여줍니다.
이러한 지표에 대한 역테스트 결과는 시간 프레임에 따라 달라질 수 있습니다.
따라서 시간 경과에 따른 손익을 비교할 때만 사용하는 것이 좋습니다.
*추가로, 그리드의 라인이 모두 구현되지 않는 문제가 있지만, 백테스팅 결과와는 무관합니다.
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).
Mean Reverse Grid Algorithm - The Quant ScienceMean Reverse Grid Algorithm - The Quant Science™ is a dynamic grid algorithm that follows the trend and run a mean reverting strategy on average percentage yield variation.
DESCRIPTION
Trades on different price levels of the grid, following the trend. The grid consists of 10 levels, 5 higher and 5 lower. The grids together create a channel, this channel represents the total percentage change where the algorithm works. The channel also represents the average change yields of the asset, identified during analysis with the "Yield Trend Indicator".
The algorithm can be set long or short.
1. Long algorithm: opens long positions with 20% of the capital every time the price crossunder a lower grid, for a maximum total of 5 simultaneous trades. Trades are closed each time the price crossover a higher grid.
2. Short algorithm: opens short positions with 20% of the capital every time the price crossover a higher grid, for a maximum total of 5 simultaneous trades. Trades are closed each time the price crossunder a lower grid.
USER INTERFACE SETTING
The user configures the percentage value of each grid from the user interface.
AUTO TRADING COMPLIANT
With the user interface, the trader can easily set up this algorithm for automatic trading. Automating it is very simple, activate the alert functions and enter the links generated by your broker.
BACKTESTING INCLUDED
With the user interface, the trader can adjust the backtesting period of the strategy before putting it live. You can analyze large periods such as years or months or focus on short-term periods.
NO LIMIT TIMEFRAME
This algorithm can be used on all timeframes and is ideal for lower timeframes.
GENERAL FEATURES
Multi-strategy: the algorithm can apply either the long strategy or the short strategy.
Built-in alerts: the algorithm contains alerts that can be customized from the user interface.
Integrated grid: the grid indicator is included.
Backtesting included: automatic backtesting of the strategy is generated based on the values set.
Auto-trading compliant: functions for auto trading are included.
ABOUT BACKTESTING
Backtesting refers to the period 1 August 2022 - today, ticker: ETH/USDT, timeframe 1H.
Initial capital: $1000.00
Commission per trade: 0.03%
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.
Custom GridIt's a simple little tool that enhances Tradingview's horizontal level grid. Set the range of up to 12 assets, you save your model, and the levels will show up automatically when you switch between graphs.
it is obvious to note that the market reacts on the round levels if it discovers its levels for a long time.
Where using notions of supports / resistances gives you level information once the level has been created, again you can correlate this indicator with other SMC and price action tools to identify areas of rejections or dips. institutional interventions.
Dynamic ATH Grid
Indicator to profit all market movements.
The idea behind this indicator is:
- to sell 1% if price reach upside line
- to buy 1% if price reach downside line
This going to take profit from volatility of market.
Use only in the most reliable values, it have risk in less reliable values
- In cases of big crashes / going to 0, it will make loose your capital (exactly as if you have hold )
More indicators will be added.
Thanks for all
GRID SPOT TRADING ALGORITHM - GRID BOT TRADING STRATEGYGRID SPOT TRADING ALGORITHM : LONG ONLY STRATEGY OPEN SOURCE
This is a long only strategy for spot assets.
HOW IT WORKS
Grid trading is a trading strategy where an investor creates a so-called "price grid". The basic idea of the strategy is to repeatedly buy at the pre-specified price and then wait for the price to rise above that level and then sell the position (and vice versa with shorting or hedging).
FEATURES
Grids: This algorithm has a total of 10 grids.
Take profit: The trader can increase or decrease the distance between the grids from the User Interface panel, the distance between one grid and another represents the take profit.
Management: The algorithm buys 10% of the capital every time the price breaks down a grid and sells during a rise to the next higher grid. The initial capital is invested in 10 sizes which represent 10% of the capital per trade.
Stop Loss: The algorithm knows no stop loss as long as it is not activated from the User Interface panel. By activating the stop loss from the User Interface panel the algorithm will insert a close condition on all trades which will be calculated from the last lower grid.
Trades: Trades are opened only if the price is within the grid. If the market leaves the grid the algorithm will not buy new positions or sell new positions.
Optimal market conditions: The favorable market for this algorithm is the sideways market.
LIMITATIONS OF THE MODEL
The trader must take into account that this is a static model. It only works perfectly well if the market is in a sideways phase and incurs heavy losses if the market takes a downward trend. The model is unusable for an uptrend. The trader must therefore carefully analyze the market where he intends to use this strategy, making sure that the price is in a sideways phase.
USES
Indispensable research and backtesting tool for those using bots for their investments. The algorithm produces a backtesting of the strategy for past history. It is used by professional traders to understand if this strategy has been profitable on a market and what parameters to use for bots using this strategy (Kucoin, Binance etc.).
If you would like to develop your own algorithm with customized conditions based on a grid strategy, please contact us.
If you need help in using this tool, please contact us without hesitation.
Bounce Manager S/RThis script is based on the bounce manager ATR script
The S/R script is made for manual input of horizontal S/R lines, the script will then see if price respects these levels by the parameters you input in settings panel. On a respectable bounce it will print buy/sell arrows. The script also has functionality to send alerts, this is helpful if you want to automate S/R lines.
An easy strategy to use would be the one you see in the preview using a grid of round numbers. This script in no way shape or form promises easy gains and like all algorithms should be forward tested on a paper trading account before using real money.
components:
- Max violation: When price moves past this the script will no longer look for entry until a new trend has been established. The line can also be used as a stop loss.
- Confirmation line: When price touches the line during a trend it
will wait to cross over this line to confirm a reaction from the line.
- Min past distance: A trend filtering system, this is a distance from
the line price has to break to confirm trend direction.
- Stop loss: This can be set to a percentage distance from the low after
bounce. Or it can be set to the max violation line
- Take profit: This can be a fixed take profit target or a risk to reward
based take profit. With risk to reward it will multiply the stop loss
distance by the input and use that to create target (green cross)
- ATR based or % based: there are 2 versions of the script, one for strict
percentage based logic and another one based on ATR values
Part of the Honest Algo service.
Fibonacci Grid [LuxAlgo]The following indicator returns multiple diagonal lines forming a grid. Each line has 45-degree and is set depending on Fibonacci ratios as well as the maximum and minimum price value over a certain lookback period. These can be used as potential support and resistance.
Users also have the option to set equidistant lines instead of having them determined by Fibonacci ratios.
Settings
Length: Lookback period for determining the maximum/minimum price value used for constructing the grid.
Resolution: Grid resolution, higher values will return more lines (only available when the "Use Fibonacci Ratios" is disabled)
Use Fibonacci Ratios: Set the lines based on Fibonacci Ratios, 6 ratios are used.
Usage
Each individual diagonal line can be used as support/resistance. Two Diagonal lines form channels where the price might evolve until a breakout.
The underlying logic of this grid determined by Fibonacci ratios is that price variations farther away from the main diagonals (in orange) would tend to move inside tighter channels.
Diagonals set using Fibonacci Ratios will form tighter channels when away from the center of the Lookback area. While equidistant lines will keep the same distance between each line.
TTP Grid BacktesterThis pine script strategy allows to backtest Grid bots.
This initial version offers the following features:
- Set the top and bottom limits of the grid
- Plots the average position price, realised and unrealised profits
- Set the value to invest
- This script is a strategy so you can check each individual buy/sell, stats and all included with strategies
What does it do:
- Depending where is located the initial close price relative to the grid (above, below, inside) it will buy for as many levels are above the price.
- It will disable a level that recently filled an order (in the way grids bot do)
- When the grid starts it will disable the closest grid level
- It places limit orders in the active levels and many levels can be filled in a single candle
- You can activate recalculate on each order filled, which will allow to fill further needed orders if the price swings up and down crossing multiple times multiple grid levels but I have found that doing this can compromise the accuracy of the price used on those levels (there are minor gaps between the filled price and the original level price)
How to use it:
- When you add this strategy to the chart you will be asked to select the top and bottom limits of the grid
- Notice you can always select the strategy in the chart and drag and drop the limits to adjust the grid
- Once the grid is in place, you can use either lower chart timeframes for higher accuracy of the stats, or higher timeframes if you want to privilege longer periods of testing
How to set the correct "initial capital"
In order to prevent getting wrong stats you need to make sure you are using the correct initial capital. If you put less than what you are actually using your results will be over inflated. If you set an initial capital below what the bot requires, your results will be smaller than they should.
- If you want to use exactly 100% of the capital for the grid use then first select what amount per level you want to use. Set this value in the settings of the indicator (if you are trading BTCUSD pair, how much BTC you want to use per level, 0.01 for example).
- Once you have set this value, then open the TradingView "Data Window" to be able to visualise the calculation of cash required to run the grid that the strategy is giving you. In our example with BTCUSD this value will be given in USD.
- Enter this amount in the "Properties" tab, "Initial Capital". If you enter the exact amount you will be using all for the grid usage.
- The grid first action will be to buy 0.01 for each level that is above the current price in the first candle of the chart. If there are no levels above it won't do any initial investment.
- The rest of the cash will be use to buy levels below if the price goes to the lower range of the grid later
Intention of this script
I built this script to help me understand better how grid bots work.
Understanding the flow of realised vs unrealised profits in a grid can help me understand why sometimes even if you are in red on unrealised profits, you can still compensate with realised profits and many other tricky scenarios with grids.
Sometimes I'm running a grid bot and would like to simulate how much better (or worst) it would have been to run it using different limits.
Future work and ideas
Initially I'm focusing on confirming that the grid behaves correctly and that the stats are as accurate as possible.
That is the first priority.
Once I feel more confident with the accuracy I will consider adding some of the following ideas (not in any particular order):
- Table with stats including: price of each level, times the level filled an order, times it was use for selling/buying, etc. Time it took to become in realised profit. Comparison against profits from buy & hold.
- Trailing TP/SL
- Entry/exit price
- Trading time window: only trade between the specified dates/times
- Alerts
GRID Trading Optimized for Directional MarketsGRID trading is a popular trading strategy in Forex and Commodity markets.
It it however a tricky strategy when markets become directional.
This Directional GRID system adjusts its trading strategy and direction based on Overbought and Oversold RSI conditions on 2 timeframes.
It uses the short timeframe (chart) to trigger adjustments, so it delays buying/selling of all the levels, until it becomes overbought/sold
And it used the longer timeframe to trigger trading direction long/short.
This makes it far less likely to ever get "underwater", and builds in extra profit potential during market extremes.
I have coded it when i was trading SLV, but it could be optimized for any market using a "TradingView Strategy Input Optimizer".
Backtest based on a 25k max capital investment during 6 months.
Check the NET Profit (50%) result, and compare against the Buy & Hold (13.5%) return.
Losing trades are the ones that are currently open..
Av Bars in trades is the time between direction changes, as Position Adjustments are done more frequently.
Contact me for Trading Automation As A Service.
Total Percent MovementThe total precent movement indicator charts the total movement (low to high) for a given interval. Use this indicator when analyzing a system for grid trading or when trying to gauge average movement.
The indicator plots three lines.
Total movement (low to high)
A simple moving average of the total movement.
A baseline
Sensible defaults are configured and may be changed in the inputs. The baseline provides a useful visual when determining practical grid width and should be adjusted based on your assumptions. The moving average defaults at 55 and helps smooth out extreme movement.
Use these tools to configure trades that have a high probability of occurrence.
Enjoy and happy wealth building!
Up & Down Trend Trading Strategy - BNB/USDT 15minThis strategy will focus on up trend trading and down trend trading based on several indicators such as;
for up trend
1. SAR indicator
2. Super trend indicator
3. Simple moving average for the period of 100
down trend
1. RSI Indicator
2. Money flow index
3. Relative volatility index
4. Balance of powder
Best delta gridTradingThis indicator help grid traders to chose the best delta in their gridTrading.
The best delta gridTrading indicator is proportional to the Average true range.
RECON ATR Volatility PercentageThe original Average True Range (ATR) indicator is a technical analysis indicator designed to measure volatility. The higher the ATR the higher the volatility.
The RECON ATR Volatility Percentage indicator calculates the Average True Range (ATR) as a percentage.
Suggested chart timeframes: 1h, 4h and 1D seem to produce the most useful intel but can be used on lower timeframes as well.
The Recon ATR Volatility Percentage can be utilized for identifying trading pairs with a desired amount of volatility, for example deploying a grid trading strategy on pairs that are trending up with a high amount of volatility (say over 50%) might produce desirable results.
It is important to note the ATR does not indicate price direction and can be high in both a rising or falling market.
The ATR Length, Period Look Back Length parameters as well as the color of the columns can be configured per your specifications.
Grid Bot AutoThis script is an auto-adjusting grid bot simulator. This is an improved version of the original Grid Bot Simulator. The grid bot is best used for ranging/choppy markets. Prices are divided into grids, or trade zones, that will trigger signals each time a new zone is entered. During ranging markets, each transaction is followed by a “take profit.” As the market starts to trend, transactions are stacked (compare to DCA ), until the market consolidates. No signals are triggered above the Upper Limit or Below the Lower Limit. Unlike the previous version, the upper and lower limits are calculated automatically. Grid levels are determined by four factors: Smoothing, Laziness, Elasticity, and Grid Intervals.
Smoothing:
A moving average (or linear regression) is applied to each close price as a basis. Options for smoothing are Linear Regression, Simple Moving Average, Exponential Moving Average, Volume-Weighted Moving Average, Triple-Exponential Moving Average.
Laziness:
Laziness is the percentage change required to reach the next level. If laziness is 1.5, the price must move up or down by 1.5% before the grid will change. This concept is based on Alex Grover’s Efficient Trend Step. This allows the grids to be based on even price levels, as opposed to jagged moving averages.
Elasticity:
Elasticity is the degree of “stickiness” to the current price trend. If the smoothing line remains above (or below) the current grid center without reverting but still not enough to reach the next grid level, the grid line will start to curve toward the next grid level. Elasticity is added to (or subtracted from) the gridline by a factor of minimum system ticks for the current pair. Elasticity of zero will keep the gridlines horizontal. If elasticity is too high, the grid will distort.
Grid Intervals:
Grid intervals are the percentage of space between each grid.
Laziness = 4%, Elasticity = 0. Price must move at least 4% before reaching the next level. With zero elasticity, gridlines are straight.
Laziness = 5%, Elasticity = 100. For each bar at a new grid level, the grid will start “curve” toward the next price level (up if price is greater than the middle grid, down if less than middle grid). Elasticity is calculated by the user-inputted “Elasticity” multiplied by the minimum tick for the current pair (ELSTX = syminfo.mintick * iELSTX)
Try experimenting with different combinations of the Smoothing Length, Smoothing Type, Laziness, Elasticity, and Grid Intervals to find the optimum settings for each chart. Lower-priced pairs (e.g. XRP/ADA/DODGE) will require lower Elasticity. Also note that different exchanges may have different minimum tick values. For example, minimum tick for BITMEX:XBTUSD and BYBIT:BTCUSD is .5, but BINANCE:BTCUSDT and COINBASE:BTCUSD is .01.
s3.tradingview.com
DODGEUSDT, 5min. Laziness: 4%, Elasticity 2.5
Number of Grids: 2. Laziness: 3.75%. Elasticity: 150. Grid Interval 2%.
Settings Overview
Smoothing Length : Smoothing period
Smoothing Type : Linear Regression, Simple Moving Average, Exponential Moving Average, Volume-Weighted Moving Average, Triple-Exponential Moving Average
Laziness : Percentage required for price to move until it reaches the next level. If price does not reach the next level (up or down), the grid will remain the same as previous grid (because it’s lazy).
Elasticity : Amount of curvature toward the next grid, based on the current price trend. As elasticity increases, gridlines will curve up or down by a factor of the number of ticks since the last grid change.
Grid Interval : Percent between grid levels.
Number of Grids : Number of grids to show.
Cooldown : Number of bars to wait to prevent consecutive signals.
Grid Line Transparency : Lower transparencies brighten the gridlines; higher transparencies dim the gridlines. To hide the gridlines completely, enter 100.
Fill Transparency: Lower transparencies brighten the fill box; higher transparencies dim the fill box. To hide the fill box completely, enter 100.
Signal Size : Make signal triangles large or small.
Reset Buy/Sell Index When Grids Change : When a new grid is formed, resetting the index may prevent false signals (experimental)
Use Highs/Lows for Signals : If enabled, signals are triggered as soon as the price touches the next zone. If disabled, signals are triggered after bar closes. Enable this for “Once Per Bar alerts. Disable for “Once Per Bar Close” alerts.
Show Min Tick : If checked, syminfo.mintick is displayed in upper-righthand corner. Useful for estimating Laziness.
Reverse Fill Colors : Default fill for fill boxes is green after buy and red after sell. Check this box to reverse.
Note: The Grid Bot Simulator scripts are experimental and works in progress. Please feel free to comment or contact me if you have suggestions/complaints.
Grid bot development I have completed the next stage of my grid bot which is to isolate the instances in which the market will move sideways in a narrow range.
Rudimentary Grid bot ideaUsing Eulerian principles yet again, this is the beginning of my first grid bot script. Use as static S&R when trading manually. Good for SL and TP setting too.
Horizontal Plot Lines - Max. 24 - grid strategy - DARK LINESWhen I looked for something like this I couldn't find it. Although simple in appearance, this script was actually quite long and complicated to create. It allows you to break up any horizontal space in up to 24 lines. Just remember that 13 lines equal 12 levels, as the top and bottom lines are the placeholders. So, if you are using quarters theory, you would want to select 5 lines.
It automatically sets the top line at a user-selectable place, like the close of the highest candlestick. It also allows you to select the lowest point as the close or the low. This way you can use the bodies of the candlestick or the wicks. You can also set the lookback period, so that your high and low can be set as far back as you prefer in the timescale you are looking at.
You can use these lines in things like quarters theory, or analyze buy and sell points in a grid bot strategy. This indicator could help you to determine where to equally place your buy and sells in a grid with up to 24 different placements.
This version has dark lines and is suitable for the light template. There is a matching light line version for a dark template.
(IK) Grid ScriptThis is my take on a grid trading strategy. From Investopedia:
"Grid trading is most commonly associated with the foreign exchange market. Overall the technique seeks to capitalize on normal price volatility in an asset by placing buy and sell orders at certain regular intervals above and below a predefined base price."
This strategy is best used on sideways markets, without a definitive up or down major trend. Because it doesn't rely on huge vertical movement, this strategy is great for small timeframes. It only goes long. I've set initial_capital to 100 USD. default_qty_value should be your initial capital divided by your amount of grid lines. I'm also assuming a 0.1% commission per trade.
Here's the basic algorithm:
- Create a grid based on an upper-bound (strong resistance) and a lower-bound (strong support)
- Grid lines are spaced evenly between these two bounds. (I recommend anywhere between 5-10 grid lines, but this script lets you use up to 15. More gridlines = more/smaller trades)
- Identify nearest gridline above and below current price (ignoring the very closest grid line)
- If price crosses under a near gridline, buy and recalculate near gridlines
- If price crosses over a near gridline, sell and recalculate near gridlines
- Trades are entered and exited based on a FIFO system. So if price falls 3 grid lines (buy-1, buy-2, buy-3), and subsequently crosses above one grid line, only the first trade will exit (sell-1). If it falls again, it will enter a new trade (buy-4), and if it crosses above again it will sell the original second trade (sell-2). The amount of trades you can be in at once are based on the amount of grid lines you have.
This strategy has no built-in stop loss! This is not a 'set-it-and-forget-it" script. Make sure that price remains within the bounds of your grid. If prices exits above the grid, you're in the money, but you won't be making any more trades. If price exits below the grid, you're 100% staked in whatever you happen to be trading.
This script is more complicated than my last one, but should be more user friendly. Make sure to correctly set your lower-bound and upper-bound based on strong support and resistance (the default values for these are probably going to be meaningless). If you change your "Grid Quantity" (amount of grid lines) make sure to also change your 'Order Size' property under settings for proper test results (or default_qty_value in the strategy() declaration).
Grid Bot RSIGrid Bot Simulator. Based on RSI levels.
How it works:
Prices are divided into grids, or trade zones, that are based on RSI levels. Buys will trigger when the RSI crosses into a higher zone, after descending. Sells will trigger when the RSI crosses into a lower zone, after ascending. After triggering, a new signal will not be produced until the RSI progresses into better zone.
Standard Settings :
RSI Length
Number of Grids
RSI Type : Standard RSI or Jurik RSX (based on Everget’s formula)
Show All Grids
Experimental Features (Adjust in settings menu) :
No Trade Zone : RSI Levels where no trades will be signaled. Adjust to prevent over-buying/selling in narrow markets. Default: 35-65:
No Trade Zone (40-60)
Aggression Level : Increase aggressiveness to stack buys/sells at extreme RSI levels:
Aggression = high
Aggression = low
Market Direction : If market is trending up, the bot will skip every other sell ( = more buys than sells). If down, will skip every other buy (more sells than buys). Default: neutral.
Market Direction: down
Market Direction: neutral
