Document for 0.1 Beta version

Table of Contents

[TOC]

Overview

Smart Stop Set is a trading platform that enables users to design algorithms easily using a drag-and-drop system called blueprint that can perform thousands of complex calculations in seconds.

Speed is the most critical key to success in the trading world. These days, many are employing bots to make the most accurate decisions in the least possible time. No one can monitor the market continuously all the time; In addition, it takes time to analyze all the conditions and make a correct decision. Sometimes only some milliseconds are enough to turn you from a winner into a loser.

Yeah, we all know that writing bots need high-level coding skills. Wait a minute, who said you need coding to can run a bot? As we present the blueprint environment, you can design complex algorithms without coding in just a few minutes. Our system creates bots that will run your algorithms continuously until you decide to stop them.

We strictly follow a set of rules to ensure your data's security, and no one, including us, has absolutely no access to your assets. All we do is send signals to your brokers, and they do the rest; we have no more access, and thus you don't need to trust us at any step of the process.

Core Features

Multi Account

• Our system enables users to manage multiple exchange accounts all in one place. You can even use different exchanges when designing a scenario; Handling various exchange accounts has never been easier. Currently, we support Binance , KuCoin , MEXC , OKCoin , and OKX .

Scenarios (Blueprint)

• As mentioned before, using the power of our blueprint environment, you can design complex algorithms with no lines of code in just a couple of minutes. Learning how to work with this system is super easy and doesn't need much time; In addition, we prepared many guides in various places to help you as fast as possible when you need them.

Marketplace

• You know neither coding nor designing trade algorithms but have eager to discover the cryptography world? There is no problem; we have plenty of well-designed scenarios available in the marketplace that you can subscribe to and achieve profits with no more work needed.

Backtest

• Do you remember times you had some great ideas that could lead you to high amounts of profit, but when you applied them to the real world, they behaved differently than you expected? Well, we have an exciting tool for you; you can backtest your ideas to see the problems in their logic and also if you can improve them to achieve even more profit. You can review the performance of your designed scenarios in any range of time; some may be more efficient in long-term investments, and others are highly efficient in short-term ones.

Start Guide

Accounts

Add an account

• On the Dashboard page Accounts section, click on the Add Account button and select one exchange from the dropdown list. Some fields will appear right after choosing the exchange; fill them in with the required data and then push the Add Account button.

Edit an account

Remove an account

Scenarios

Add a scenario

• Click on the Add Scenario button on either the Dashboard or Scenarios page, fill in the fields of the Scenario Information page with the required data as explained below, and then click on the Create button routing you to the scenario editor environment.
  • Scenario Information
    • Scenario name : Choose a name for your scenario. (required)
    • Scenario description : Explain your scenario's cons and pros, how it would be most efficacious, and - if you wish - how it works. (required)
    • Owner fee : The profit percentage you will earn by sharing the scenario on the market. This value is needed when you've checked the Share in marketplace checkbox. (default value is zero)
    • Share in marketplace : Determines whether you want to share your scenario in the marketplace.
    • Show your scenario as an open source : Appoints whether you let other users see your algorithm.

Scenario Editor

Actions

• Go to the scenarios page. There are buttons nested in the Actions column; let's review them.

  Run/Stop

  • When you run a scenario, data watchers (for more information, see Deep Dive into the Blueprint > Independent nodes > Datawatchers ) get signals periodically and push them into the subsequent blocks. They process the caught signals, and if all the conditions are satisfied, would trigger the BUY / SELL blocks to send requests to the user exchanges.

  Backtests List

  • Opens a modal showing a list of the user's backtests; They may be running, stopped, or completed. You can run a fresh one by clicking on the New Backtest button at the bottom right corner of the modal. When you press the button, another modal will get shown that asks you to specify a date range and enter your asset in BTC and USDT. Press the Run the backtest button; It will get added to the list, and you can check its status. Initially, your backtest may get put in a queue and take some time to get started; Since then, you can review its real-time status via a chart, a list of signals, and an information box.

  Three-dot Menu

  • Edit Opens the scenario editor environment containing the scenario content.
  • Delete Shows an alert modal; Confirm the deletion by pressing the OK button, and the scenario will get removed.
  • Copy Opens a modal; Fill in the name field, and after pressing the Clone button, you will get redirected to the scenario editor containing the newly cloned scenario content.
  • Setting Allows you to edit fields on the Scenario Information page. (look at the Add Scenario section)

Marketplace

Subscribe

Unsubscribe

Check Status

Backtest

Run a backtest

Que backtests

Stop a backtest

Repeat a scenario

Create New

Restore

View Graph

Details

Deep Dive into the Blueprint

Independent nodes

Datawatchers

* Binance

Math nodes

fix_number

Indicator nodes

abs

Vector Absolute Value calculates the absolute value of each element in an array. [ https://tulipindicators.org/abs ]

acos

Vector Arccosine calculates the Trigonometric arccosine of each element in an array. [ https://tulipindicators.org/acos ]

ad

Accumulation Distribution Line determines the trend of a stock, using the relation between the volume flow and the stock’s price.

add

Add adds two arrays together.

adosc

Accumulation Distribution Oscillator is calculated by taking an exponential moving average of short periods of accumulation distribution line subtracted from an exponential moving average of long periods of accumulation distribution line.

adx

Average Directional Movement Index shows the strength of a trend through a value in a range of 0 to 100.

adxr

Average Directional Movement Index Rating is the same as the average directional movement index but is smoother. This indicator gets less affected than adx from the fast short-term market oscillations.

ao

Awesome Oscillator measures the momentum of the market.

apo

Absolute Price Oscillator is the difference between the short-period exponential moving average and the long-period exponential moving average.

aroon

Aroon comprises two indicators: Aroon-Up and Aroon-Down . Aroon can identify the beginning of a trend, its strength, and any changes.

aroonosc

Aroon Oscillator is the difference between Aroon-Up and Aroon-Down indicators, and the output would be a value between 0 and 100.

asin

Vector Arcsine calculates the trigonometric arcsine of each element in an array.

atan

Vector Arctangent calculates the trigonometric arctangent of each element in an array.

atr

Average True Range measures market volatility over a stock’s price range for a specified period.

avgprice

Average Price shows the mean of open, high, low, and close prices of a stock.

bbands

Bollinger Bands contains the upper, middle, and lower bands. The middle one is a moving average indicator, and the upper and lower bands are on the sides of the middle one. The value of the standard deviations determines the distance between the middle band and the upper and lower ones.

bop

Balance of Power evaluates the strength of buyers and sellers in the market.

cci

Commodity Channel Index would be high when prices are far above the average and would be low when prices are far below it. So cci can identify overbought and oversold areas of price action. Besides that, it gets used to discover reversals and divergences.

ceil

Vector Ceiling shows the smallest integer from the elements of an array.

cmo

Chande Momentum Oscillator calculates the price of momentum on bullish or/and bearish days. In other words, it computes the difference between the sum of higher closes and the sum of lower closes, dividing by the sum of all price movements.

cos

Vector Cosine calculates the trigonometric cosine of each element in an array.

cosh

Vector Hyperbolic Cosine calculates the trigonometric hyperbolic cosine of each element in an array.

crossany

Crossany continuously detects whether the inputs are crossing each other.

crossover

Crossover continuously detects whether the first input is crossing over the other one. It means, against the crossany indicator, the only situation that matters is when the first input would place above the other one.

cvi

Chaikins Volatility calculates the difference between the high and low prices for each period.

decay

Decay saves an array of recent signals. It is a useful indicator, especially in machine learning algorithms.

dema

Double Exponential Moving Average is the same as the exponential moving average, but due to allocating more weight to recent data points, delivers fewer lag data.

di

Directional Indicator comprises positive directional indicator and negative directional indicator lines that show the price trend movement. Crossing these two lines propagates the buy and sell signals; If the positive line crosses up through the negative one, it is a Buy signal, and vice versa.

div

Vector Division divides the provided inputs.

dm

Directional Movement draws positive directional movement and negative directional movement lines. They get calculated using the prior high and low prices.

dpo

Detrended Price Oscillator removes price trends to make it easier to identify peaks and troughs. Thus, estimating the cycle lengths using the indicator is much simpler.

dx

Directional Movement Index , which is also referred to as dmi , contains two directional movement lines and the average directional movement index indicator.

edecay

Exponential Decay is almost the same as decay but faster for the same period.

ema

Exponential Moving Average shows the direction of the price changes over a period. EMA is like a Simple Moving Average , but where the SMA directly calculates the average price values, EMA applies more weight to the recent prices.

emv

Ease of Movement investigates the relationship between price fluctuations and trading volume.

exp

Vector Exponential calculates e raised to the power of each input element.

fisher

Fisher is an unpopular indicator that, collaborating with other indicators, can identify price reversals.

floor

The Vector Floor of a value is the largest integer less than or equal to it.

fosc

Forecast Oscillator predicts the upcoming stock's price by monitoring the difference between the current stock's price and a linear regression price resulting from the Time Series Forecast function.

hma

Hull Moving Average is an improved moving average that removes the lags (and thus is super fast) and is smoother than the other traditional moving average indicators.

kama

Kaufman Adaptive Moving Average reduces false signals by eliminating short-term price fluctuations. In other words, kama removes the market noises, so if the market volatility is low, it will heel the current market price.

kvo

Klinger Volume Oscillator forecasts market reversals by comparing the volume to the price.

lag

The Lag indicator produces lag to its input.

linreg

Linear Regression plots the ending values of linear regression lines for a specific number of bars.

linregintercept

Linear Regression Intercept returns the height of the linear regression line for the first input bar in the moving period.

linregslope

Linear Regression Slope determines the direction of trend strength. The indicator determines the slope for each bar using the current bar and the n-1 previous bars where n is the period specified by the trader.

ln

Vector Natural Log calculates the natural logarithm for each element in an input array.

log10

Vector Base-10 Log calculates the base-10 logarithm for each element in an input array.

macd

Moving Average Convergence Divergence determines the direction of the stock price. Consider not using this indicator for detecting trend reversals since it can detect them only after they happen. It is not usually used to identify overbought or oversold conditions as well.

marketfi

Market Facilitation Index measures the trend strength and predicts the starting of a trend when it is about to occur. It calculates the price movement per volume unit.

mass

Mass Index detects market trend reversals.

max

Maximum In Period returns the maximum value in the last n bars.

md

Mean Deviation Over Period computes the absolute mean deviation over a period.

medprice

Median Price computes the mean of the high and low prices for a bar.

mfi

The Money Flow Index measures the trading pressure by monitoring both the price and volume and returns a value between 0 and 100.

min

Minimum In Period returns the minimum value in the last n bars.

mom

Momentum computes the change between the current price and the price of the n-th bar from the last.

msw

Mesa Sine Wave detects whether the market is in a cycle mode or a trend mode.

mul

Mul takes two input arrays and multiplies them.

natr

Normalized Average True Range is a normalized version of the average true range and gets calculated with the following formula: NATR = (ATR / Close) * 100.

nvi

The Negative Volume Index is a cumulative indicator and is sensitive to the market volume. It argued that high market volume is because of uninformative traders, so it doesn't care about the high-volume days. On low-volume days, informed traders are more active, and therefore nvi indicator gets affected by them; the nvi value will rise on positive price changes and will fall on negative price changes.

obv

On Balance Volume is a cumulative indicator that calculates buying and selling pressures. It increases on up days and decreases on down days.

ppo

Percentage Price Oscillator calculates the difference between two exponential moving averages with different periods divided by the longer one.

psar

Parabolic SAR helps to figure out stop points and potential reversals in trends. Indeed SAR stands for stop and reverse , which describes its application nicely.

pvi

Positive Volume Index is the same as nvi - and often gets used in conjunction with it - but is sensitive to high-volume days.

qstick

Qstick as a momentum indicator applies a simple moving average on the difference between the stock close and open prices.

roc

Rate of Change computes the percentage change between the current price and the price n periods ago. The formula is:

[current price - price n periods ago]/price n periods ago * 100

rocr

Rate of Change Ratio computes the change between the current price and the price n periods ago. The formula is:

current price/price n periods ago

round

Vector Round returns the closest integer for each element in an array.

rsi

Relative Strength Index measures the speed and rate of change in price movements within the market; it oscillates between zero and 100.

sin

Vector Sine computes the Trigonometric sine of each element in an array.

sinh

Vector Hyperbolic Sine computes the Trigonometric hyperbolic sine of each element in an array.

sma

Simple Moving Average shows the direction of the price changes over a period by calculating the average price value.

sqrt

Vector Square Root computes the square root of each element in an array.

stddev

Standard Deviation Over Period measures the difference between the current price and the average price over a period.

stderr

Standard Error Over Period shows how different the population mean is from the sample mean.

stoch

Stochastic Oscillator compares the last close price to the highest and lowest prices over a period and ranges from zero to 100.

stochrsi

Stochastic RSI is a combination of two indicators: stoch and rsi. Actually, it's applying a stoch indicator on a rsi indicator, which means it's a measure of rsi relative to its high/low range over a period.

sub

Sub returns the subtraction of the two inputs.

sum

Sum Over Period returns the sum of the last n bars.

tan

Vector Tangent calculates the Trigonometric tangent of each element in an array.

tanh

Vector Hyperbolic Tangent calculates the Trigonometric hyperbolic tangent of each element in an array.

tema

Triple Exponential Moving Average is a high-speed moving average with smoother data. It reduces the lags by placing more weight on the recent data and thus is more appropriate for short-term trading.

todeg

Vector Degree Conversion converts an array of radians into an array of degrees.

torad

Vector Radian Conversion converts an array of degrees into an array of radians.

tr

True range is the maximum of the following values: Subtraction of the high and low prices of the same day. The absolute value of the subtraction of a day's high price and the previous day's close price. The absolute value of the subtraction of a day's low price and the previous day's close price.

trima

Triangular Moving Average is the same as sma, but it's averaged twice; In other words, trima is a sma that applies to another sma. This approach leads to a smoother line that places more weight on the middle bars.

trix

Trix shows the percentage change of a triple-smoothed ema (applying an ema three times).

trunc

Vector Truncate returns only the integer part of a number for each element in an array.

tsf

Time Series Forecast , as expected from the name, predicts future trends based on past data. It is more sensitive to sudden price changes compared to the moving average indicators.

typprice

Typical Price computes the arithmetic mean of the high, low, and close prices.

ultosc

Ultimate Oscillator measures buying pressure by considering three different time frames. These periods (7, 14, 28) describe short, medium, and long-term market trends.

var

Variance Over Period measures the variation by calculating the average of squared deviations from the mean.

vhf

Vertical Horizontal Filter monitors the price movements and indicates the prices phase, that they are in the trading or the congestion phase.

vidya

Variable Index Dynamic Average calculates an ema with a dynamic period depending on the market volatility.

volatility

Annualized Historical Volatility measures the deviation of the annual average stock price over a period.

vosc

'Volume Oscillator' calculates the difference between a fast volume moving average and a slow volume moving average. Monitoring volume changes in this manner has more technical importance than monitoring volume itself.

vwma

Volume Weighted Moving Average is just like most moving average indicators but considers the market volume in its calculations. It actually gives more weight to the high-volume prices than the low-volume prices.

wad

Williams Accumulation/Distribution is the accumulated sum of accumulation and distribution price changes. Accumulation and distribution describe a market controlled by buyers and sellers, respectively. Indeed, the wad indicator measures the positive and negative market pressures.

wcprice

Weighted Close Price is simply the average of high, low, and doubled closing prices.

wilders

Wilder's Smoothing is the same as ema, but wilder's smoothing uses a different smoothing factor, which leads to a slower response to price changes.

willr

Williams %R identifies overbought and oversold markets by comparing the position of the most recent closing price to the highest and lowest prices over a period.

wma

Weighted Moving Average is the same as sma, but puts more weight on the recent data. This way, it responds faster to price changes and will stay closer to the market price.

zlema

Zero-Lag Exponential Moving Average follows the same goal as dema and tema. It eliminates the lags to improve the speed and track the price more closely.