GKD-C Trend Strength RSX [Loxx]Giga Kaleidoscope GKD-C Trend Strength RSX is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ GKD-C Trend Strength RSX
What is the RSX?
The Jurik RSX is a technical indicator developed by Mark Jurik to measure the momentum and strength of price movements in financial markets, such as stocks, commodities, and currencies. It is an advanced version of the traditional Relative Strength Index (RSI), designed to offer smoother and less lagging signals compared to the standard RSI.
The main advantage of the Jurik RSX is that it provides more accurate and timely signals for traders and analysts, thanks to its improved calculation methods that reduce noise and lag in the indicator's output. This enables better decision-making when analyzing market trends and potential trading opportunities.
Understanding the Trend Strength RSX Algorithm
This code computes the Trend Strength based on the RSX indicator, a popular technical analysis tool used by traders to determine the strength and direction of price movements for financial instruments.
Variables and Functions
The Trend Strength RSX function trendStrengthRSX takes three input parameters:
-src: The price data (typically close, open, high, or low prices) to be used as the source for calculations.
-inpPeriod: The lookback period to be used in the RSX calculation, which determines how many previous bars will be considered in the calculation.
-inpStrength: A constant value representing the strength of the trend, which will be multiplied with the delta to calculate the smin and smax values.
The function initializes several local variables, such as rsx, hrsx, lrsx, delta, smin, smax, trend, valu, and vald.
float rsx = loxxrsx.rsx(src, inpPeriod)
float hrsx = rsx
float lrsx = rsx
if rsx > rsx
hrsx := rsx
lrsx := rsx
if rsx < rsx
hrsx := rsx
lrsx := rsx
float delta = hrsx - lrsx
float smin = rsx - inpStrength * delta
float smax = rsx + inpStrength * delta
float trend = 0.
float valu = 0.
float vald = 0.
trend := nz(trend )
if rsx > nz(smax )
trend := 1
if rsx < nz(smin )
trend := -1
if trend > 0
if smin < nz(smin )
smin := nz(smin )
valu := smin
if trend < 0
if smax > nz(smax )
smax := nz(smax )
vald := smax
RSX Calculation
The RSX indicator is a modified version of the RSI indicator that aims to reduce noise and provide smoother results. The RSX calculation is performed using the rsx(src, inpPeriod) function call, which takes the source price data and the lookback period as input parameters. The result is assigned to the rsx variable.
High and Low RSX Values
The code then determines the high (hrsx) and low (lrsx) RSX values based on the comparison between the current and previous RSX values. If the current RSX value is greater than the previous one, hrsx takes the current RSX value, and lrsx takes the previous RSX value. Conversely, if the current RSX value is less than the previous one, hrsx takes the previous RSX value, and lrsx takes the current RSX value.
Delta, Smin, and Smax Calculation
Delta is calculated as the difference between the high and low RSX values (hrsx - lrsx). Smin and Smax are then calculated using the following formulas:
smin = rsx - inpStrength * delta
smax = rsx + inpStrength * delta
Trend Determination
The trend variable is initially set to 0, and its previous value is obtained using the nz(trend ) function, which returns the non-null value of the trend at the previous bar. The trend is set to 1 if the current RSX value is greater than the previous smax value, and it is set to -1 if the current RSX value is less than the previous smin value.
Smin, Smax, Valu, and Vald Adjustments
The smin and smax values are updated based on the trend direction. If the trend is positive (greater than 0), and the current smin value is less than the previous smin value, the smin value is updated to the previous smin value, and the valu variable is set to the updated smin value. If the trend is negative (less than 0), and the current smax value is greater than the previous smax value, the smax value is updated to the previous smax value, and the vald variable is set to the updated smax value.
The function returns the current RSX value as its output.
The Trend Strength RSX algorithm presented in this Pine Script code calculates the trend strength based on the RSX indicator. It determines the trend direction by comparing the current RSX value against the smin and smax values, which are calculated using the input strength parameter and the delta value. The smin and smax values are then updated based on the trend direction to provide dynamic support and resistance levels for the price movements. The algorithm is designed to be used as a technical analysis tool for traders and investors to identify potential entry and exit points, as well as to determine the strength and direction of price movements in financial markets.
In summary, the Trend Strength RSX algorithm provides valuable insights into the strength and direction of market trends by analyzing the RSX indicator. By using this algorithm, traders and investors can make more informed decisions and develop effective trading strategies based on the underlying price movements and trends in the financial markets.
█ Giga Kaleidoscope Modularized Trading System
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Trend Strength RSX as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Volatility/Volume Entry
1. GKD-V Volatility/Volume signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
1-Candle Rule Volatility/Volume Entry
1. GKD-V Volatility/Volume signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close)
2. GKD-B Volatility/Volume agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-B Baseline agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
2. GKD-C Confirmation 1 agrees
3. GKD-C Confirmation 2 agrees
4. GKD-V Volatility/Volume Agrees
]█ Setting up the GKD
The GKD system involves chaining indicators together. These are the steps to set this up.
Use a GKD-C indicator alone on a chart
1. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Simple"
Use a GKD-V indicator alone on a chart
**nothing, it's already useable on the chart without any settings changes
Use a GKD-B indicator alone on a chart
**nothing, it's already useable on the chart without any settings changes
Baseline (Baseline, Backtest)
1. Import the GKD-B Baseline into the GKD-BT Backtest: "Input into Volatility/Volume or Backtest (Baseline testing)"
2. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Baseline"
Volatility/Volume (Volatility/Volume, Backte st)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Solo"
2. Inside the GKD-V indicator, change the "Signal Type" setting to "Crossing" (neither traditional nor both can be backtested)
3. Import the GKD-V indicator into the GKD-BT Backtest: "Input into C1 or Backtest"
4. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Volatility/Volume"
5. Inside the GKD-BT Backtest, a) change the setting "Backtest Type" to "Trading" if using a directional GKD-V indicator; or, b) change the setting "Backtest Type" to "Full" if using a directional or non-directional GKD-V indicator (non-directional GKD-V can only test Longs and Shorts separately)
6. If "Backtest Type" is set to "Full": Inside the GKD-BT Backtest, change the setting "Backtest Side" to "Long" or "Short
7. If "Backtest Type" is set to "Full": To allow the system to open multiple orders at one time so you test all Longs or Shorts, open the GKD-BT Backtest, click the tab "Properties" and then insert a value of something like 10 orders into the "Pyramiding" settings. This will allow 10 orders to be opened at one time which should be enough to catch all possible Longs or Shorts.
Solo Confirmation Simple (Confirmation, Backtest)
1. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Simple"
1. Import the GKD-C indicator into the GKD-BT Backtest: "Input into Backtest"
2. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Solo Confirmation Simple"
Solo Confirmation Complex without Exits (Baseline, Volatility/Volume, Confirmation, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Complex"
4. Import the GKD-V indicator into the GKD-C indicator: "Input into C1 or Backtest"
5. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full wo/ Exits"
6. Import the GKD-C into the GKD-BT Backtest: "Input into Exit or Backtest"
Solo Confirmation Complex with Exits (Baseline, Volatility/Volume, Confirmation, Exit, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Complex"
4. Import the GKD-V indicator into the GKD-C indicator: "Input into C1 or Backtest"
5. Import the GKD-C indicator into the GKD-E indicator: "Input into Exit"
6. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full w/ Exits"
7. Import the GKD-E into the GKD-BT Backtest: "Input into Backtest"
Full GKD without Exits (Baseline, Volatility/Volume, Confirmation 1, Confirmation 2, Continuation, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C 1 indicator, change the "Confirmation Type" setting to "Confirmation 1"
4. Import the GKD-V indicator into the GKD-C 1 indicator: "Input into C1 or Backtest"
5. Inside the GKD-C 2 indicator, change the "Confirmation Type" setting to "Confirmation 2"
6. Import the GKD-C 1 indicator into the GKD-C 2 indicator: "Input into C2"
7. Inside the GKD-C Continuation indicator, change the "Confirmation Type" setting to "Continuation"
8. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full wo/ Exits"
9. Import the GKD-E into the GKD-BT Backtest: "Input into Exit or Backtest"
Full GKD with Exits (Baseline, Volatility/Volume, Confirmation 1, Confirmation 2, Continuation, Exit, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C 1 indicator, change the "Confirmation Type" setting to "Confirmation 1"
4. Import the GKD-V indicator into the GKD-C 1 indicator: "Input into C1 or Backtest"
5. Inside the GKD-C 2 indicator, change the "Confirmation Type" setting to "Confirmation 2"
6. Import the GKD-C 1 indicator into the GKD-C 2 indicator: "Input into C2"
7. Inside the GKD-C Continuation indicator, change the "Confirmation Type" setting to "Continuation"
8. Import the GKD-C Continuation indicator into the GKD-E indicator: "Input into Exit"
9. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full w/ Exits"
10. Import the GKD-E into the GKD-BT Backtest: "Input into Backtest"
Baseline + Volatility/Volume (Baseline, Volatility/Volume, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Baseline + Volatility/Volume"
2. Inside the GKD-V indicator, make sure the "Signal Type" setting is set to "Traditional"
3. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
4. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Baseline + Volatility/Volume"
5. Import the GKD-V into the GKD-BT Backtest: "Input into C1 or Backtest"
6. Inside the GKD-BT Backtest, change the setting "Backtest Type" to "Full". For this backtest, you must test Longs and Shorts separately
7. To allow the system to open multiple orders at one time so you can test all Longs or Shorts, open the GKD-BT Backtest, click the tab "Properties" and then insert a value of something like 10 orders into the "Pyramiding" settings. This will allow 10 orders to be opened at one time which should be enough to catch all possible Longs or Shorts.
Requirements
Inputs
Confirmation 1: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Continuation: GKD-C Confirmation indicator
Solo Confirmation Simple: GKD-B Baseline
Solo Confirmation Complex: GKD-V Volatility / Volume indicator
Solo Confirmation Super Complex: GKD-V Volatility / Volume indicator
Stacked 1: None
Stacked 2+: GKD-C, GKD-V, or GKD-B Stacked 1
Outputs
Confirmation 1: GKD-C Confirmation 2 indicator
Confirmation 2: GKD-C Continuation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest
Solo Confirmation Complex: GKD-BT Backtest or GKD-E Exit indicator
Solo Confirmation Super Complex: GKD-C Continuation indicator
Stacked 1: GKD-C, GKD-V, or GKD-B Stacked 2+
Stacked 2+: GKD-C, GKD-V, or GKD-B Stacked 2+ or GKD-BT Backtest
Additional features will be added in future releases.
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GKD-C STD-Filtered, Truncated Taylor FIR Filter [Loxx]Giga Kaleidoscope GKD-C STD-Filtered, Truncated Taylor Family FIR Filter is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ GKD-C STD-Filtered, Truncated Taylor Family FIR Filter
Exploring the Truncated Taylor Family FIR Filter with Standard Deviation Filtering
Filters play a vital role in signal processing, allowing us to extract valuable information from raw data by removing unwanted noise or highlighting specific features. In the context of financial data analysis, filtering techniques can help traders identify trends and make informed decisions. Below, we delve into the workings of a Truncated Taylor Family Finite Impulse Response (FIR) Filter with standard deviation filtering applied to the input and output signals. We will examine the code provided, breaking down the mathematical formulas and concepts behind it.
The code consists of two main sections: the design function that calculates the FIR filter coefficients and the stdFilter function that applies standard deviation filtering to the input signal.
design(int per, float taylorK)=>
float coeffs = array.new(per, 0)
float coeffsSum = 0
float _div = per + 1.0
float _coeff = 1
for i = 0 to per - 1
_coeff := (1 + taylorK) / 2 - (1 - taylorK) / 2 * math.cos(2.0 * math.pi * (i + 1) / _div)
array.set(coeffs,i, _coeff)
coeffsSum += _coeff
stdFilter(float src, int len, float filter)=>
float price = src
float filtdev = filter * ta.stdev(src, len)
price := math.abs(price - nz(price )) < filtdev ? nz(price ) : price
price
Design Function
The design function takes two arguments: an integer 'per' representing the number of coefficients for the FIR filter, and a floating-point number 'taylorK' to adjust the filter's characteristics. The function initializes an array 'coeffs' of length 'per' and sets all elements to 0. It also initializes variables 'coeffsSum', '_div', and '_coeff' to store the sum of the coefficients, a divisor for the cosine calculation, and the current coefficient, respectively.
A for loop iterates through the range of 0 to per-1, calculating the FIR filter coefficients using the formula:
_coeff := (1 + taylorK) / 2 - (1 - taylorK) / 2 * math.cos(2.0 * math.pi * (i + 1) / _div)
The calculated coefficients are stored in the 'coeffs' array, and their sum is stored in 'coeffsSum'. The function returns both 'coeffs' and 'coeffsSum' as a list.
stdFilter Function
The stdFilter function takes three arguments: a floating-point number 'src' representing the input signal, an integer 'len' for the standard deviation calculation period, and a floating-point number 'filter' to adjust the standard deviation filtering strength.
The function initializes a 'price' variable equal to 'src' and calculates the filtered standard deviation 'filtdev' using the formula:
filtdev = filter * ta.stdev(src, len)
The 'price' variable is then updated based on whether the absolute difference between the current price and the previous price is less than 'filtdev'. If true, 'price' is set to the previous price, effectively filtering out noise. Otherwise, 'price' remains unchanged.
Application of Design and stdFilter Functions
First, the input signal 'src' is filtered using the stdFilter function if the 'filterop' variable is set to "Both" or "Price", and 'filter' is greater than 0.
Next, the design function is called with the 'per' and 'taylorK' arguments to calculate the FIR filter coefficients and their sum. These values are stored in 'coeffs' and 'coeffsSum', respectively.
A for loop iterates through the range of 0 to per-1, calculating the filtered output 'dSum' using the formula:
dSum += nz(src ) * array.get(coeffs, k)
The output signal 'out' is then computed by dividing 'dSum' by 'coeffsSum' if 'coeffsSum' is not equal to 0; otherwise, 'out' is set to 0.
Finally, the output signal 'out' is filtered using the stdFilter function if the 'filterop' variable is set to "Both" or "Truncated Taylor FIR Filter", and 'filter' is greater than 0. The filtered signal is stored in the 'sig' variable.
The Truncated Taylor Family FIR Filter with Standard Deviation Filtering combines the strengths of two powerful filtering techniques to process financial data. By first designing the filter coefficients using the Taylor family FIR filter and then applying standard deviation filtering, the algorithm effectively removes noise and highlights relevant trends in the input signal. This approach allows traders and analysts to make more informed decisions based on the processed data.
In summary, the provided code effectively demonstrates how to create a custom FIR filter based on the Truncated Taylor family, along with standard deviation filtering applied to both input and output signals. This combination of filtering techniques enhances the overall filtering performance, making it a valuable tool for financial data analysis and decision-making processes. As the world of finance continues to evolve and generate increasingly complex data, the importance of robust and efficient filtering techniques cannot be overstated.
█ Giga Kaleidoscope Modularized Trading System
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: STD-Filtered, Truncated Taylor Family FIR Filter as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Volatility/Volume Entry
1. GKD-V Volatility/Volume signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
1-Candle Rule Volatility/Volume Entry
1. GKD-V Volatility/Volume signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close)
2. GKD-B Volatility/Volume agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-B Baseline agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
2. GKD-C Confirmation 1 agrees
3. GKD-C Confirmation 2 agrees
4. GKD-V Volatility/Volume Agrees
]█ Setting up the GKD
The GKD system involves chaining indicators together. These are the steps to set this up.
Use a GKD-C indicator alone on a chart
1. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Simple"
Use a GKD-V indicator alone on a chart
**nothing, it's already useable on the chart without any settings changes
Use a GKD-B indicator alone on a chart
**nothing, it's already useable on the chart without any settings changes
Baseline (Baseline, Backtest)
1. Import the GKD-B Baseline into the GKD-BT Backtest: "Input into Volatility/Volume or Backtest (Baseline testing)"
2. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Baseline"
Volatility/Volume (Volatility/Volume, Backte st)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Solo"
2. Inside the GKD-V indicator, change the "Signal Type" setting to "Crossing" (neither traditional nor both can be backtested)
3. Import the GKD-V indicator into the GKD-BT Backtest: "Input into C1 or Backtest"
4. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Volatility/Volume"
5. Inside the GKD-BT Backtest, a) change the setting "Backtest Type" to "Trading" if using a directional GKD-V indicator; or, b) change the setting "Backtest Type" to "Full" if using a directional or non-directional GKD-V indicator (non-directional GKD-V can only test Longs and Shorts separately)
6. If "Backtest Type" is set to "Full": Inside the GKD-BT Backtest, change the setting "Backtest Side" to "Long" or "Short
7. If "Backtest Type" is set to "Full": To allow the system to open multiple orders at one time so you test all Longs or Shorts, open the GKD-BT Backtest, click the tab "Properties" and then insert a value of something like 10 orders into the "Pyramiding" settings. This will allow 10 orders to be opened at one time which should be enough to catch all possible Longs or Shorts.
Solo Confirmation Simple (Confirmation, Backtest)
1. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Simple"
1. Import the GKD-C indicator into the GKD-BT Backtest: "Input into Backtest"
2. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Solo Confirmation Simple"
Solo Confirmation Complex without Exits (Baseline, Volatility/Volume, Confirmation, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Complex"
4. Import the GKD-V indicator into the GKD-C indicator: "Input into C1 or Backtest"
5. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full wo/ Exits"
6. Import the GKD-C into the GKD-BT Backtest: "Input into Exit or Backtest"
Solo Confirmation Complex with Exits (Baseline, Volatility/Volume, Confirmation, Exit, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Complex"
4. Import the GKD-V indicator into the GKD-C indicator: "Input into C1 or Backtest"
5. Import the GKD-C indicator into the GKD-E indicator: "Input into Exit"
6. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full w/ Exits"
7. Import the GKD-E into the GKD-BT Backtest: "Input into Backtest"
Full GKD without Exits (Baseline, Volatility/Volume, Confirmation 1, Confirmation 2, Continuation, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C 1 indicator, change the "Confirmation Type" setting to "Confirmation 1"
4. Import the GKD-V indicator into the GKD-C 1 indicator: "Input into C1 or Backtest"
5. Inside the GKD-C 2 indicator, change the "Confirmation Type" setting to "Confirmation 2"
6. Import the GKD-C 1 indicator into the GKD-C 2 indicator: "Input into C2"
7. Inside the GKD-C Continuation indicator, change the "Confirmation Type" setting to "Continuation"
8. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full wo/ Exits"
9. Import the GKD-E into the GKD-BT Backtest: "Input into Exit or Backtest"
Full GKD with Exits (Baseline, Volatility/Volume, Confirmation 1, Confirmation 2, Continuation, Exit, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C 1 indicator, change the "Confirmation Type" setting to "Confirmation 1"
4. Import the GKD-V indicator into the GKD-C 1 indicator: "Input into C1 or Backtest"
5. Inside the GKD-C 2 indicator, change the "Confirmation Type" setting to "Confirmation 2"
6. Import the GKD-C 1 indicator into the GKD-C 2 indicator: "Input into C2"
7. Inside the GKD-C Continuation indicator, change the "Confirmation Type" setting to "Continuation"
8. Import the GKD-C Continuation indicator into the GKD-E indicator: "Input into Exit"
9. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full w/ Exits"
10. Import the GKD-E into the GKD-BT Backtest: "Input into Backtest"
Baseline + Volatility/Volume (Baseline, Volatility/Volume, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Baseline + Volatility/Volume"
2. Inside the GKD-V indicator, make sure the "Signal Type" setting is set to "Traditional"
3. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
4. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Baseline + Volatility/Volume"
5. Import the GKD-V into the GKD-BT Backtest: "Input into C1 or Backtest"
6. Inside the GKD-BT Backtest, change the setting "Backtest Type" to "Full". For this backtest, you must test Longs and Shorts separately
7. To allow the system to open multiple orders at one time so you can test all Longs or Shorts, open the GKD-BT Backtest, click the tab "Properties" and then insert a value of something like 10 orders into the "Pyramiding" settings. This will allow 10 orders to be opened at one time which should be enough to catch all possible Longs or Shorts.
Requirements
Inputs
Confirmation 1: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Continuation: GKD-C Confirmation indicator
Solo Confirmation Simple: GKD-B Baseline
Solo Confirmation Complex: GKD-V Volatility / Volume indicator
Solo Confirmation Super Complex: GKD-V Volatility / Volume indicator
Stacked 1: None
Stacked 2+: GKD-C, GKD-V, or GKD-B Stacked 1
Outputs
Confirmation 1: GKD-C Confirmation 2 indicator
Confirmation 2: GKD-C Continuation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest
Solo Confirmation Complex: GKD-BT Backtest or GKD-E Exit indicator
Solo Confirmation Super Complex: GKD-C Continuation indicator
Stacked 1: GKD-C, GKD-V, or GKD-B Stacked 2+
Stacked 2+: GKD-C, GKD-V, or GKD-B Stacked 2+ or GKD-BT Backtest
Additional features will be added in future releases.
GKD-C Step Chart of RSX of Averages [Loxx]Giga Kaleidoscope GKD-C Step Chart of RSX of Averages is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ GKD-C Step Chart of RSX of Averages
What is the RSX?
The Jurik RSX is a technical indicator developed by Mark Jurik to measure the momentum and strength of price movements in financial markets, such as stocks, commodities, and currencies. It is an advanced version of the traditional Relative Strength Index (RSI), designed to offer smoother and less lagging signals compared to the standard RSI.
The main advantage of the Jurik RSX is that it provides more accurate and timely signals for traders and analysts, thanks to its improved calculation methods that reduce noise and lag in the indicator's output. This enables better decision-making when analyzing market trends and potential trading opportunities.
A Comprehensive Analysis of the stepChart() Algorithm for Financial Technical Analysis
Technical analysis is a widely adopted method for forecasting financial market trends by evaluating historical price data and utilizing various statistical tools. We examine an algorithm that implements the stepChart() function, a custom indicator designed to assist traders in identifying trends and making more informed decisions. We will provide an in-depth analysis of the code, exploring its structure, purpose, and functionality.
The code can be divided into two main sections: the stepChart() function definition and its application to charting data. We will first examine the stepChart() function definition, followed by its application.
stepChart() Function Definition
The stepChart() function takes two arguments: a floating-point number 'srcprice' representing the source price and a simple integer 'stepSize' to determine the increment for evaluating trends.
Within the function, five floating-point variables are initialized: steps, trend, rtrend, rbar_high, and rbar_low. These variables will be used to compute the step chart values and store the trends and bar high/low values.
The 'bar_index' variable is employed to identify the current bar in the price chart. If the current bar is the first one (bar_index == 0), the function initializes the steps, rbar_high, rbar_low, trend, and rtrend variables using the source price and step size. If stepSize is greater than 0, the variables are initialized using the rounded value of srcprice divided by stepSize, multiplied by stepSize. Otherwise, they are initialized to srcprice.
In the following part of the function, the code checks if the absolute difference between the source price and the previous steps value is less than the step size. If true, the current steps value remains unchanged. If not, the code enters a while loop that continues incrementing or decrementing the steps value by the step size until the absolute difference between the source price and the steps value is less than or equal to the step size.
Next, the trend variable is calculated based on the relationship between the current steps value and the previous steps value. The rbar_high, rbar_low, and rtrend variables are updated accordingly.
Finally, the function returns a list containing rbar_high, rbar_low, and rtrend values.
Application of the stepChart() Function
In this section, the stepChart() function is applied to the RSX of the smoothed moving average of the closing prices of a financial instrument. The moving average and RSX functions are used to calculate the moving average and RSX, respectively.
The stepChart() function is called with the RSX values and the user-defined step size. The resulting values are stored in the rbar_high, rbar_low, and rtrend variables.
Next, the bar_high, bar_low, bar_close, and bar_open variables are set based on the values of rbar_high, rbar_low, and rtrend. These variables will be used to plot the stepChart() on the price chart. The bar_high variable is set to rbar_high, and the bar_low variable is set to rbar_high if rbar_high is equal to rbar_low, or to rbar_low otherwise. The bar_close variable is set to bar_high if rtrend equals 1, and to bar_low otherwise. Lastly, the bar_open variable is set to bar_low if rtrend equals 1, and to bar_high otherwise.
Finally, we use the built in Pine function plotcandle to plot the candles on the chart.
The stepChart() function is an innovative technical analysis tool designed to help traders identify trends in financial markets. By combining the RSX and moving average indicators and utilizing the step chart approach, this custom indicator provides a visually appealing and intuitive representation of price trends. Understanding the intricacies of this code can prove invaluable for traders looking to make well-informed decisions
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Step Chart of RSX of Averages as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Volatility/Volume Entry
1. GKD-V Volatility/Volume signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
1-Candle Rule Volatility/Volume Entry
1. GKD-V Volatility/Volume signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close)
2. GKD-B Volatility/Volume agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-B Baseline agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
2. GKD-C Confirmation 1 agrees
3. GKD-C Confirmation 2 agrees
4. GKD-V Volatility/Volume Agrees
]█ Setting up the GKD
The GKD system involves chaining indicators together. These are the steps to set this up.
Use a GKD-C indicator alone on a chart
1. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Simple"
Use a GKD-V indicator alone on a chart
**nothing, it's already useable on the chart without any settings changes
Use a GKD-B indicator alone on a chart
**nothing, it's already useable on the chart without any settings changes
Baseline (Baseline, Backtest)
1. Import the GKD-B Baseline into the GKD-BT Backtest: "Input into Volatility/Volume or Backtest (Baseline testing)"
2. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Baseline"
Volatility/Volume (Volatility/Volume, Backte st)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Solo"
2. Inside the GKD-V indicator, change the "Signal Type" setting to "Crossing" (neither traditional nor both can be backtested)
3. Import the GKD-V indicator into the GKD-BT Backtest: "Input into C1 or Backtest"
4. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Volatility/Volume"
5. Inside the GKD-BT Backtest, a) change the setting "Backtest Type" to "Trading" if using a directional GKD-V indicator; or, b) change the setting "Backtest Type" to "Full" if using a directional or non-directional GKD-V indicator (non-directional GKD-V can only test Longs and Shorts separately)
6. If "Backtest Type" is set to "Full": Inside the GKD-BT Backtest, change the setting "Backtest Side" to "Long" or "Short
7. If "Backtest Type" is set to "Full": To allow the system to open multiple orders at one time so you test all Longs or Shorts, open the GKD-BT Backtest, click the tab "Properties" and then insert a value of something like 10 orders into the "Pyramiding" settings. This will allow 10 orders to be opened at one time which should be enough to catch all possible Longs or Shorts.
Solo Confirmation Simple (Confirmation, Backtest)
1. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Simple"
1. Import the GKD-C indicator into the GKD-BT Backtest: "Input into Backtest"
2. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Solo Confirmation Simple"
Solo Confirmation Complex without Exits (Baseline, Volatility/Volume, Confirmation, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Complex"
4. Import the GKD-V indicator into the GKD-C indicator: "Input into C1 or Backtest"
5. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full wo/ Exits"
6. Import the GKD-C into the GKD-BT Backtest: "Input into Exit or Backtest"
Solo Confirmation Complex with Exits (Baseline, Volatility/Volume, Confirmation, Exit, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Complex"
4. Import the GKD-V indicator into the GKD-C indicator: "Input into C1 or Backtest"
5. Import the GKD-C indicator into the GKD-E indicator: "Input into Exit"
6. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full w/ Exits"
7. Import the GKD-E into the GKD-BT Backtest: "Input into Backtest"
Full GKD without Exits (Baseline, Volatility/Volume, Confirmation 1, Confirmation 2, Continuation, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C 1 indicator, change the "Confirmation Type" setting to "Confirmation 1"
4. Import the GKD-V indicator into the GKD-C 1 indicator: "Input into C1 or Backtest"
5. Inside the GKD-C 2 indicator, change the "Confirmation Type" setting to "Confirmation 2"
6. Import the GKD-C 1 indicator into the GKD-C 2 indicator: "Input into C2"
7. Inside the GKD-C Continuation indicator, change the "Confirmation Type" setting to "Continuation"
8. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full wo/ Exits"
9. Import the GKD-E into the GKD-BT Backtest: "Input into Exit or Backtest"
Full GKD with Exits (Baseline, Volatility/Volume, Confirmation 1, Confirmation 2, Continuation, Exit, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C 1 indicator, change the "Confirmation Type" setting to "Confirmation 1"
4. Import the GKD-V indicator into the GKD-C 1 indicator: "Input into C1 or Backtest"
5. Inside the GKD-C 2 indicator, change the "Confirmation Type" setting to "Confirmation 2"
6. Import the GKD-C 1 indicator into the GKD-C 2 indicator: "Input into C2"
7. Inside the GKD-C Continuation indicator, change the "Confirmation Type" setting to "Continuation"
8. Import the GKD-C Continuation indicator into the GKD-E indicator: "Input into Exit"
9. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full w/ Exits"
10. Import the GKD-E into the GKD-BT Backtest: "Input into Backtest"
Baseline + Volatility/Volume (Baseline, Volatility/Volume, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Baseline + Volatility/Volume"
2. Inside the GKD-V indicator, make sure the "Signal Type" setting is set to "Traditional"
3. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
4. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Baseline + Volatility/Volume"
5. Import the GKD-V into the GKD-BT Backtest: "Input into C1 or Backtest"
6. Inside the GKD-BT Backtest, change the setting "Backtest Type" to "Full". For this backtest, you must test Longs and Shorts separately
7. To allow the system to open multiple orders at one time so you can test all Longs or Shorts, open the GKD-BT Backtest, click the tab "Properties" and then insert a value of something like 10 orders into the "Pyramiding" settings. This will allow 10 orders to be opened at one time which should be enough to catch all possible Longs or Shorts.
Requirements
Inputs
Confirmation 1: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Continuation: GKD-C Confirmation indicator
Solo Confirmation Simple: GKD-B Baseline
Solo Confirmation Complex: GKD-V Volatility / Volume indicator
Solo Confirmation Super Complex: GKD-V Volatility / Volume indicator
Stacked 1: None
Stacked 2+: GKD-C, GKD-V, or GKD-B Stacked 1
Outputs
Confirmation 1: GKD-C Confirmation 2 indicator
Confirmation 2: GKD-C Continuation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest
Solo Confirmation Complex: GKD-BT Backtest or GKD-E Exit indicator
Solo Confirmation Super Complex: GKD-C Continuation indicator
Stacked 1: GKD-C, GKD-V, or GKD-B Stacked 2+
Stacked 2+: GKD-C, GKD-V, or GKD-B Stacked 2+ or GKD-BT Backtest
Additional features will be added in future releases.
Kioseff Trading - AI-Powered Strategy Optimizer Introducing the Kioseff Trading AI-Powered Strategy Optimizer
Optimize and build your trading strategy with ease, no matter your experience level. The Kioseff Trading AI-Powered Strategy Optimizer allows traders to efficiently test and refine strategies with thousands of different profit targets and stop loss settings. Integrated with TradingView's backtester, this tool simplifies strategy optimization, strategy testing, and alert setting, enabling you to enhance your strategy with AI-driven insights.
Key Features:
Comprehensive Testing : Simultaneously test thousands of profit targets and stop losses to fine-tune your strategy.
Dual Strategy Optimization : Adjust and optimize both long and short strategies for balanced performance.
AI Integration : Elevate your strategy with heuristic-based adaptive learning, turning it into a smart, AI-assisted system.
Detailed Analysis : View critical metrics like profit factor, win rate, max drawdown, and equity curve, presented in a strategy script format.
Customizable Alerts : Set alerts for the best version of your strategy.
Flexible Risk Management : Optimize various stop loss types, including profit targets, limit orders, OCO orders, trailing stops, and fixed stops.
Targeted Goals : Choose optimization goals like highest win rate, maximum net profit, or most efficient profit.
Indicator Compatibility : Integrate any strategy/indicator, whether it’s your creation, a favorite author’s, or any public TradingView indicator.
Accessible Design : Navigate a user-friendly interface suitable for traders of all skill levels. No code required.
Precision Lock-In : “Lock” your optimal profit target or stop loss to drill down into precision testing of other variables.
How it works
It's important to remember that merely having the AI-Powered Strategy Optimizer on your chart doesn't automatically provide you with the best strategy. You need to follow the AI's guidance through an iterative process to discover the optimal settings for your strategy.
The Trading Strategy Optimizer is a versatile tool tailored for both non-coding traders and seasoned algorithmic trading professionals. Let's start with no-code-required instructions on how to use the optimizer.
Instructions: How To Optimize Your Strategy Without Code
1. Build your strategy in the settings
The image above shows explanations for each key setting.
Note: This example uses the RSI indicator to initiate a long trade whenever it dips below the 30 mark.
Ensure that the indicator you wish to optimize is already applied to your chart . This enables the Trading Strategy Optimizer to interact with the indicator and finetune profit targets and stop losses effectively.
Because the indicator is plotted on the chart I can access the indicator with the Trading Strategy Optimizer and optimize profit targets and stop losses for it.
2. Leverage AI Recommendations
Optimization Prompt: After you load your strategy, the tool advises you on new TP and SL levels that could be more profitable.
When your strategy is set, the tool gives you tips for where to set your profit goal (TP) and your stop loss to help you optimize your strategy. It'll tell you if there's a better range for these settings based on past results.
Follow Suggestions: Keep updating your TP and SL according to the tool's suggestions until it says "Best Found".
Final Result: The last image shows the best settings found by the indicator.
(Optional Step 3)
3. Lock the profit target or stop loss to further fine tune your strategy
Continue following the AI’s suggestion until “Best Found” is displayed.
Note: you can select lock either your stop loss or profit target for fine tuning. For this demonstration we will lock our profit target.
Code-Required Instructions (Optional)
You can backtest more code-intensive strategies, such as harmonic patterns, traditional chart patterns, candlestick patterns, Elliot wave, etc., by coding the entry condition in your own script and loading it into the Trading Strategy Optimizer. Let's dial in on how to achieve this!
1. You must create an integer variable in your script with an initial value of "0".
2. Define your entry condition in the code. Once complete, assign the value "1" to the variable you created if the entry condition is fulfilled.
3. Plot your variable.
4. Select the plotted variable in the settings for the Trading Strategy Optimizer
The image above shows a coded entry condition for the linear regression channel (which can be any indicator). When price crosses under and closes below the lower line our variable "strategyEntryVariable" is assigned the value "1".
The Trading Strategy Optimizer will treat this change in value from "0" to "1" as an entry signal and enter long/short up to 1000 times at the price where the entry condition was fulfilled.
5. Test Your Strategy
The image above shows the completion of the process! Keep applying the steps we described. Stick with the AI's recommendations until you see “Best Found” show up.
By following these instructions, you can build, test, and optimize almost any trading indicator or strategy!
So, just note that the Trading Strategy Optimizer considers a change in value of a plotted variable from "0" to "1" as an entry signal! So long as you follow this rule you should be able to test and optimize any conceivable, Pine Script compatible strategy!
AI Mode
AI Mode incorporates Heuristic-Based Adaptive Learning to fine-tune trading strategies in a continuous manner. This feature consists of two main components:
Heuristic-Based Decision Making: The algorithm evaluates multiple versions of your strategy using specific metrics such as Profit and Loss (PNL), Win Rate, and Most Efficient Profit. These metrics act as heuristics to assist the algorithm in identifying suitable profit targets and stop losses for trade execution.
Online Learning: The algorithm updates the performance evaluations of each strategy based on incoming market data. This enables the system to adapt to current market conditions.
Incorporating both heuristic-based decision-making and online learning, this feature aims to provide a framework for trading strategy optimization.
Settings
AI Mode Aggressiveness:
Description: The "AI Mode Aggressiveness" setting allows you to fine-tune the AI's trading behavior. This setting ranges from "Low" To "High, with higher aggressiveness indicating a more assertive trading approach.
Functionality: This feature filters trading strategies based on a proprietary evaluation method. A higher setting narrows down the strategies that the AI will consider, leaning towards more aggressive trading. Conversely, a lower setting allows for a more conservative approach by broadening the pool of potential strategies.
Adaptive Learning Aggressiveness:
Description: When Adaptive Learning is enabled, the "Adaptive Learning Aggressiveness" setting controls how dynamically the AI adapts to market conditions using selected performance metrics.
Functionality: This setting impacts the AI's responsiveness to shifts in strategy performance. By adjusting this setting, you can control how quickly the AI moves away from strategies that may have been historically successful but are currently underperforming, towards strategies that are showing current promise.
Additional Settings
Optimization
Trading system optimization is immensely advantageous when executed with prudence.
Technical-oriented, mechanical trading systems work when a valid correlation is methodical to the extent that an objective, precisely-defined ruleset can consistently exploit it. If no such correlation exists, or a technical-oriented system is erroneously designed to exploit an illusory correlation (absent predictive utility), the trading system will fail.
Evaluate results practically and test parameters rigorously after discovery. Simply mining the best-performing parameters and immediately trading them is unlikely a winning strategy. Put as much effort into testing strong-performing parameters and building an accompanying system as you would any other trading strategy. Automated optimization involves curve fitting - it's the responsibility of the trader to validate a replicable sequence or correlation and the trading system that exploits it.
SuperTrend Entry(My goal creating this indicator) : Provide a way to enter the market systematically, automatically create Stop Loss Levels and Take Profit Levels, and provide the position size of each entry based on a fix Percentage of the traders account.
The Underlying Concept :
What is Momentum?
The Momentum shown is derived from a Mathematical Formula, SUPERTREND. When price closes above Supertrend Its bullish Momentum when its below Supertrend its Bearish Momentum. This indicator scans for candle closes on the current chart and when there is a shift in momentum (price closes below or above SUPERTREND) it notifies the trader with a Bar Color change.
Technical Inputs
- If you want to optimize the rate of signals to better fit your trading plan you would change the Factor input and ATR Length input. Increase factor and ATR Length to decrease the frequency of signals and decrease the Factor and ATR Length to increase the frequency of signals.
Quick TIP! : You can Sync all VFX SuperTrend Indicators together! All VFX SuperTrend indicators display unique information but its all derived from that same Momentum Formula. Keep the Factor input and ATR Length the same on other VFX SuperTrend indicators to have them operating on the same data.
Display Inputs
- The indicator has a candle overlay option you can toggle ON or OFF. If toggled ON the candles color will represent the momentum of your current chart ( bullish or bearish Momentum)
your able to change the colors that represent bullish or bearish to your preference
- You can toggle on which shows the exact candle momentum switched sides
your able to change the colors that represent a bullish switch or bearish switch to your preference
- The trader can specify which point you would like your stop loss to reference. (Low and High) Which uses the Low of the Momentum signal as the reference for your Stop Loss during buy signals and the High as the reference during sell signals. Or (Lowest Close and Highest Close) which uses the Lowest Close of the Momentum signal as the reference for your Stop Loss during buys and the Highest Close as the reference during sells.
- The colors that represent your Stop Loses and Take Profits can also be changed
Risk Management Inputs
- Your Risk MANAGMENT section is used to set up how your Stop Loss and Take Profit are calculated
- You have the option to take in account Volatility when calculating your Stop Loss. A adjusted ATR formula is used to achieve this. Increase Stop Loss Multiplier from 0 to widen stops.
- Increase Take Profit Multiplier from 0 to access visual Take Profit Levels based on your Stop Loss. This will be important for traders that Prefer trading using risk rewards. For Example: If the the Take Profit Multiplier is 3 a Take Profit level 3 times the size or your stop loss from your entry will be shown and a price number corresponding to that Take Profit Level becomes available.
- Enter your current Account size, Bet Percentage and Fixed Spread to get your Position Size for each trade
-Toggle on the Current Trade Chart and easily get the size of your Position and the exact price of your Take Profit and Stop Loss.
You can increase the Size of the Current Trade Chart= Tiny, Small, Normal, Large, Huge and change the Position of the Current
trade Chart to your preference, (Top- Right, Center, Left) (Middle- Right, Center, Left) (Bottom- Right, Center, Left).
How it can be used ?
- Enter Trades and always know where your stop is going to be
- Eliminate the need to manual calculate Position Size
- Get a consistent view of the current charts momentum
- Systematical enter trades
- Reduce information overload
SuperTrend Entry(My goal creating this indicator) : Provide a way to enter the market systematically, automatically create Stop Loss Levels and Take Profit Levels, and provide the position size of each entry based on a fix Percentage of the traders account.
The Underlying Concept :
What is Momentum?
The Momentum shown is derived from a Mathematical Formula, SUPERTREND. When price closes above Supertrend Its bullish Momentum when its below Supertrend its Bearish Momentum. This indicator scans for candle closes on the current chart and when there is a shift in momentum (price closes below or above SUPERTREND) it notifies the trader with a Bar Color change.
Technical Inputs
- If you want to optimize the rate of signals to better fit your trading plan you would change the Factor input and ATR Length input. Increase factor and ATR Length to decrease the frequency of signals and decrease the Factor and ATR Length to increase the frequency of signals.
Quick TIP! : You can Sync all VFX SuperTrend Indicators together! All VFX SuperTrend indicators display unique information but its all derived from that same Momentum Formula. Keep the Factor input and ATR Length the same on other VFX SuperTrend indicators to have them operating on the same data.
Display Inputs
- The indicator has a candle overlay option you can toggle ON or OFF. If toggled ON the candles color will represent the momentum of your current chart ( bullish or bearish Momentum)
your able to change the colors that represent bullish or bearish to your preference
- You can toggle on which shows the exact candle momentum switched sides
your able to change the colors that represent a bullish switch or bearish switch to your preference
- The trader can specify which point you would like your stop loss to reference. (Low and High) Which uses the Low of the Momentum signal as the reference for your Stop Loss during buy signals and the High as the reference during sell signals. Or (Lowest Close and Highest Close) which uses the Lowest Close of the Momentum signal as the reference for your Stop Loss during buys and the Highest Close as the reference during sells.
- The colors that represent your Stop Loses and Take Profits can also be changed
Risk Management Inputs
- Your Risk MANAGMENT section is used to set up how your Stop Loss and Take Profit are calculated
- You have the option to take in account Volatility when calculating your Stop Loss. A adjusted ATR formula is used to achieve this. Increase Stop Loss Multiplier from 0 to widen stops.
- Increase Take Profit Multiplier from 0 to access visual Take Profit Levels based on your Stop Loss. This will be important for traders that Prefer trading using risk rewards. For Example: If the the Take Profit Multiplier is 3 a Take Profit level 3 times the size or your stop loss from your entry will be shown and a price number corresponding to that Take Profit Level becomes available.
- Enter your current Account size, Bet Percentage and Fixed Spread to get your Position Size for each trade
-Toggle on the Current Trade Chart and easily get the size of your Position and the exact price of your Take Profit and Stop Loss.
You can increase the Size of the Current Trade Chart= Tiny, Small, Normal, Large, Huge and change the Position of the Current
trade Chart to your preference, (Top- Right, Center, Left) (Middle- Right, Center, Left) (Bottom- Right, Center, Left).
How it can be used ?
- Enter Trades and always know where your stop is going to be
- Eliminate the need to manual calculate Position Size
- Get a consistent view of the current charts momentum
- Systematical enter trades
- Reduce information overload
CDC ActionZone BF for ETHUSD-1D © PRoSkYNeT-EE
Based on improvements from "Kitti-Playbook Action Zone V.4.2.0.3 for Stock Market"
Based on improvements from "CDC Action Zone V3 2020 by piriya33"
Based on Triple MACD crossover between 9/15, 21/28, 15/28 for filter error signal (noise) from CDC ActionZone V3
MACDs generated from the execution of millions of times in the "Brute Force Algorithm" to backtest data from the past 5 years. ( 2017-08-21 to 2022-08-01 )
Released 2022-08-01
***** The indicator is used in the ETHUSD 1 Day period ONLY *****
Recommended Stop Loss : -4 % (execute stop Loss after candlestick has been closed)
Backtest Result ( Start $100 )
Winrate 63 % (Win:12, Loss:7, Total:19)
Live Days 1,806 days
B : Buy
S : Sell
SL : Stop Loss
2022-07-19 07 - 1,542 : B 6.971 ETH
2022-04-13 07 - 3,118 : S 8.98 % $10,750 12,7,19 63 %
2022-03-20 07 - 2,861 : B 3.448 ETH
2021-12-03 07 - 4,216 : SL -8.94 % $9,864 11,7,18 61 %
2021-11-30 07 - 4,630 : B 2.340 ETH
2021-11-18 07 - 3,997 : S 13.71 % $10,832 11,6,17 65 %
2021-10-05 07 - 3,515 : B 2.710 ETH
2021-09-20 07 - 2,977 : S 29.38 % $9,526 10,6,16 63 %
2021-07-28 07 - 2,301 : B 3.200 ETH
2021-05-20 07 - 2,769 : S 50.49 % $7,363 9,6,15 60 %
2021-03-30 07 - 1,840 : B 2.659 ETH
2021-03-22 07 - 1,681 : SL -8.29 % $4,893 8,6,14 57 %
2021-03-08 07 - 1,833 : B 2.911 ETH
2021-02-26 07 - 1,445 : S 279.27 % $5,335 8,5,13 62 %
2020-10-13 07 - 381 : B 3.692 ETH
2020-09-05 07 - 335 : S 38.43 % $1,407 7,5,12 58 %
2020-07-06 07 - 242 : B 4.199 ETH
2020-06-27 07 - 221 : S 28.49 % $1,016 6,5,11 55 %
2020-04-16 07 - 172 : B 4.598 ETH
2020-02-29 07 - 217 : S 47.62 % $791 5,5,10 50 %
2020-01-12 07 - 147 : B 3.644 ETH
2019-11-18 07 - 178 : S -2.73 % $536 4,5,9 44 %
2019-11-01 07 - 183 : B 3.010 ETH
2019-09-23 07 - 201 : SL -4.29 % $551 4,4,8 50 %
2019-09-18 07 - 210 : B 2.740 ETH
2019-07-12 07 - 275 : S 63.69 % $575 4,3,7 57 %
2019-05-03 07 - 168 : B 2.093 ETH
2019-04-28 07 - 158 : S 29.51 % $352 3,3,6 50 %
2019-02-15 07 - 122 : B 2.225 ETH
2019-01-10 07 - 125 : SL -6.02 % $271 2,3,5 40 %
2018-12-29 07 - 133 : B 2.172 ETH
2018-05-22 07 - 641 : S 5.95 % $289 2,2,4 50 %
2018-04-21 07 - 605 : B 0.451 ETH
2018-02-02 07 - 922 : S 197.42 % $273 1,2,3 33 %
2017-11-11 07 - 310 : B 0.296 ETH
2017-10-09 07 - 297 : SL -4.50 % $92 0,2,2 0 %
2017-10-07 07 - 311 : B 0.309 ETH
2017-08-22 07 - 310 : SL -4.02 % $96 0,1,1 0 %
2017-08-21 07 - 323 : B 0.310 ETH
Trade & Risk Management Tool (Expo)█ Trade & Risk Management Tool (Expo) is a sophisticated and complete trading tool that helps traders manage their position and risk. This tool makes risk and trade management simple and convenient; literally, anyone can use it. The key feature is its ability to set the stop-loss automatically.
█ The key feature of this tool is that it sets the stop loss automatically depending on the current market characteristics; in other words, it's a stop-loss that adapts dynamically and optimizes to suggest the best possible stop-loss at that time. In addition, the user can set the preferred risk-reward, and the tool will automatically calculate the RR and Take Profit Levels for you. There is also a possibility to add up to 4 take profit levels, all based on your set RR.
The Auto Stop-loss feature comes with even more customization, and the trader can enable a trailing stop and set a custom stop-loss instead of using the default one.
█ The Trade & Risk Management Tool also calculates the current position P&L in points/pips or %. Positions size is automatically calculated based on the account size and % of the capital you want to risk. In addition, we have added Expected Return in % for the active position. This is a feature that experienced traders commonly use. Set the Probability of Gain and the Probability of Loss, and the tool will calculate the expected return based on the SL and TP. The probability of gain/loss can be calculated using historical data or for experienced traders by making an educated guess.
█ Why is this tool needed?
Trade & Risk management is a key concept to grasp and use in your trading, and it's one of the most critical aspects that will determine your long-term success in this industry. The market is uncertain, and it's impossible to know what the future holds. The only way to take control of the unknown is to have a sound risk management system that ensures you don't blow your account in one trade. Therefore all traders need to understand the importance of using a risk- and money management tool that calculates and provides stop-loss and take-profit levels in real-time. This way, you will always know where to take your stop-loss and secure profit.
The position size calculator prevents you from taking too much risk and the predefined stop-loss and take-profit levels help you manage your position. The tool makes sure you maximize the profit potential while minimizing the losses. It also prevents you from taking too much risk.
It all comes down to managing the risk and managing profit. Make sure that you always know how much you can risk at each trade, where to put your stop-loss, and take profit. A general rule is to find a good balance between reward and risk (RR), preferably a risk-reward ratio of 2:1 or 3:1, where your targeted profits are always double that of your maximum losses.
█ This trading tool makes something so important so easy for you, and it's a must-have to succeed in trading for the long term.
█ HOW TO USE
Use the tool to manage your active position.
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Disclaimer
Copyright by Zeiierman.
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!
EMA bands + leledc + bollinger bands trend following strategy v2The basics:
In its simplest form, this strategy is a positional trend following strategy which enters long when price breaks out above "middle" EMA bands and closes or flips short when price breaks down below "middle" EMA bands. The top and bottom of the middle EMA bands are calculated from the EMA of candle highs and lows, respectively.
The idea is that entering trades on breakouts of the high EMAs and low EMAs rather than the typical EMA based on candle closes gives a bit more confirmation of trend strength and minimizes getting chopped up. To further reduce getting chopped up, the strategy defaults to close on crossing the opposite EMA band (ie. long on break above high EMA middle band and close below low EMA middle band).
This strategy works on all markets on all timeframes, but as a trend following strategy it works best on markets prone to trending such as crypto and tech stocks. On lower timeframes, longer EMAs tend to work best (I've found good results on EMA lengths even has high up to 1000), while 4H charts and above tend to work better with EMA lengths 21 and below.
As an added filter to confirm the trend, a second EMA can be used. Inputting a slower EMA filter can ensure trades are entered in accordance with longer term trends, inputting a faster EMA filter can act as confirmation of breakout strength.
Bar coloring can be enabled to quickly visually identify a trend's direction for confluence with other indicators or strategies.
The goods:
Waiting for the trend to flip before closing a trade (especially when a longer base EMA is used) often leaves money on the table. This script combines a number of ways to identify when a trend is exhausted for backtesting the best early exits.
"Delayed bars inside middle bands" - When a number of candle's in a row open and close between the middle EMA bands, it could be a sign the trend is weak, or that the breakout was not the start of a new trend. Selecting this will close out positions after a number of bars has passed
"Leledc bars" - Originally introduced by glaz, this is a price action indicator that highlights a candle after a number of bars in a row close the same direction and result in greatest high/low over a period. It often triggers when a strong trend has paused before further continuation, or it marks the end of a trend. To mitigate closing on false Leledc signals, this strategy has two options: 1. Introducing requirement for increased volume on the Leledc bars can help filter out Leledc signals that happen mid trend. 2. Closing after a number of Leledc bars appear after position opens. These two options work great in isolation but don't perform well together in my testing.
"Bollinger Bands exhaustion bars" - These bars are highlighted when price closes back inside the Bollinger Bands and RSI is within specified overbought/sold zones. The idea is that a trend is overextended when price trades beyond the Bollinger Bands. When price closes back inside the bands it's likely due for mean reversion back to the base EMA in which this strategy will ideally re-enter a position. Since the added RSI requirements often make this indicator too strict to trigger a large enough sample size to backtest, I've found it best to use "non-standard" settings for both the bands and the RSI as seen in the default settings.
"Buy/Sell zones" - Similar to the idea behind using Bollinger Bands exhaustion bars as a closing signal. Instead of calculating off of standard deviations, the Buy/Sell zones are calculated off multiples of the middle EMA bands. When trading beyond these zones and subsequently failing back inside, price may be due for mean reversion back to the base EMA. No RSI filter is used for Buy/Sell zones.
If any early close conditions are selected, it's often worth enabling trade re-entry on "middle EMA band bounce". Instead of waiting for a candle to close back inside the middle EMA bands, this feature will re-enter position on only a wick back into the middle bands as will sometimes happen when the trend is strong.
Any and all of the early close conditions can be combined. Experimenting with these, I've found can result in less net profit but higher win-rates and sharpe ratios as less time is spent in trades.
The deadly:
The trend is your friend. But wouldn't it be nice to catch the trends early? In ranging markets (or when using slower base EMAs in this strategy), waiting for confirmation of a breakout of the EMA bands at best will cause you to miss half the move, at worst will result in getting consistently chopped up. Enabling "counter-trend" trades on this strategy will allow the strategy to enter positions on the opposite side of the EMA bands on either a Leledc bar or Bollinger Bands exhaustion bar. There is a filter requiring either a high/low (for Leledc) or open (for BB bars) outside the selected inner or outer Buy/Sell zone. There are also a number of different close conditions for the counter-trend trades to experiment with and backtest.
There are two ways I've found best to use counter-trend trades
1. Mean reverting scalp trades when a trend is clearly overextended. Selecting from the first 5 counter-trend closing conditions on the dropdown list will usually close the trades out quickly, with less profit but less risk.
2. Trying to catch trends early. Selecting any of the close conditions below the first 5 can cause the strategy to behave as if it's entering into a new trend (from the wrong side).
This feature can be deadly effective in profiting from every move price makes, or deadly to the strategy's PnL if not set correctly. Since counter-trend trades open opposite the middle bands, a stop-loss is recommended to reduce risk. If stop-losses for counter-trend trades are disabled, the strategy will hold a position open often until liquidation in a trending market if th trade is offsides. Note that using a slower base EMA makes counter-trend stop-losses even more necessary as it can reduce the effectiveness of the Buy/Sell zone filter for opening the trades as price can spend a long time trending outside the zones. If faster EMAs (34 and below) are used with "Inner" Buy/Zone filter selected, the first few closing conditions will often trigger almost immediately closing the trade at a loss.
The niche:
I've added a feature to default into longs or shorts. Enabling these with other features (aside from the basic long/short on EMA middle band breakout) tends to break the strategy one way or another. Enabling default long works to simulate trying to acquire more of the asset rather than the base currency. Enabling default short can have positive results for those high FDV, high inflation coins that go down-only for months at a time. Otherwise, I use default short as a hedge for coins that I hold and stake spot. I gain the utility and APR of staking while reducing the risk of holding the underlying asset by maintaining a net neutral position *most* of the time.
Disclaimer:
This script is intended for experimenting and backtesting different strategies around EMA bands. Use this script for your live trading at your own risk. I am a rookie coder, as such there may be errors in the code that cause the strategy to behave not as intended. As far as I can tell it doesn't repaint, but I cannot guarantee that it does not. That being said if there's any question, improvements, or errors you've found, drop a comment below!
Stochastic Moving AverageHi all,
This Strategy script combines the power of EMAs along with the Stochastic Oscillator in a trend following / continuation manner, along with some cool functionalities.
I designed this script especially for trading altcoins, but it works just as good on Bitcoin itself and on some Forex pairs.
______ SIGNALS ______
The script has 4 mandatory conditions to unlock a trading signal. Find these conditions for a long trade below (works the exact other way round for shorts)
- Fast EMA must be higher than Slow EMA
- Stochastic K% line must be in oversold territory
- Stochastic K% line must cross over Stochastic D% line
- Price as to close between slow EMA and fast EMA
Once all the conditions are true, a trade will start at the opening of the next
______ SETTINGS ______
- Trade Setup:
Here you can choose to trade only longs or shorts and change your Risk:Reward.
You can also decide to adjust your volume per position according to your risk tolerance. With “% of Equity” your stop loss will always be equal to a fixed percentage of your initial capital (will “compound” overtime) and with “$ Amount” your stop loss will always be 'x' amount of the base currency (ex: USD, will not compound)
Stop Loss:
The ATR is used to create a stop loss that matches current volatility. The multiplier corresponds to how many times the ATR stop losses and take profits will be away from closing price.
- Stochastic:
Here you can find the usual K% & D% length and overbought (OB) and oversold (OS) levels.
The “Stochastic OB/OS lookback” increase the tolerance towards OB/OS territories. It allows to look 'x' bars back for a value of the Stochastic K line to be overbought or oversold when detecting an entry signal.
The “All must be OB/OS” refers to the previous “Stochastic OB/OS lookback” parameter. If this option is ticked, instead of needing only 1 OB/OS value within the lookback period to get a valid signal, now, all bars looked back must be OB/OS.
The color gradient drawn between the fast and slow EMAs is a representation of the Stochastic K% line position. With default setting colors, when fast EMA > slow EMA, gradient will become solid blue when Stochastic is oversold and when slow EMA > fast EMA, gradient will become solid blue when Stochastic is overbought
- EMAs:
Just pick your favorite ones
- Reference Market:
An additional filter to be certain to stay aligned with the current a market index trend (in our case: Bitcoin). If selected reference market (and timeframe) is trading above selected EMA, this strategy will only take long trades (vice-versa for shorts) Because, let’s face it… even if this filter isn’t bulletproof, you know for sure that when Bitcoin tanks, there won’t be many Alts going north simultaneously. Once again, this is a trend following strategy.
A few tips for increased performance: fast EMA and D% Line can be real fast… 😉
As always, my scripts evolve greatly with your ideas and suggestions, keep them coming! I will gladly incorporate more functionalities as I go.
All my script are tradable when published but remain work in progress, looking for further improvements.
Hope you like it!
Bounce Manager ATRThis is a tool to turn any line or indicator into a signaller from bounces from the source line.
The ATR version is build to specify what would be considered a worthy entry from the line using ATR multiplier values as inputs.
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
In bounce manager v1 these stop loss and take profit targets are there only for plotting and visual backtesting purposes. Right now it can only send long and short signals.
Part of the Honest Algo service.
3 Candle Strike SPY Option StrategyImportant notes:
1. This strategy is designed for same day SPY option scalping. All profit shown in back testing report is based on Profit/Loss (P/L) estimates from trading options with approximately 7.5 weeks of data. By default, it is set to 10 option contracts. By default the initial capital is set to $5000.
2. This strategy also takes into account of extended market data, so turn it on for it to work as intended.
3. This strategy is mainly developed for SPY trading on 1 min chart, it probably will not work with other tickers without tweaking all the parameters first.
4. At the time of publish, the market is experiencing high volatility. Keep that in mind as market conditions changes constantly.
How it works:
Basic idea of this strategy is to look for 3 candle reversal pattern within trending market structure. The 3 candle reversal pattern consist of 3 consecutive bullish or bearish candles, followed by an engulfing candle in the opposite direction. This pattern usually signals a reversal of short term trend (a.k.a pullbacks). This strategy uses multiple moving averages to filter long or short entries. For example, if the 21 smoothed moving average is above the 50, only look for long (bullish) entries, and vise versa. There are settings to change these moving average periods to suit your needs. Linear Regression to determine whether the market is trending. The 3 candle pattern is more successful under trending market.
This strategy aims for approximately 1:3 risk to reward ratio. Stop losses are calculated using the closest low or high values for long or short entries, respectively, with an offset using a percentage of the daily ATR value. This allows some price fluctuation without being stopped out prematurely. Price target is calculated by multiplying the difference between the entry price and the stop loss by a factor of 3. When price target is reach, this strategy will set stop loss at the price target and wait for exit conditions to maximize potential profit.
By default, the strategy signals a trade in the opposite direction if the previous one had resulted in a loss. Often times, this opposite trade results in profit.
This strategy automatically signal to close all trades at 3:50 pm EST at the end of the day.
Enjoy~!!! Let's all make $$$
[Wantrader] Volatility Breakout Strategy V3This is the Wantrader's volatility breakthrough version 9,
which developed Larry Williams' volatility breakthrough strategy.
The following elements are included.
- Entry : Enter the market price, calculated by the volatility (TR) * ratio (K) of the previous day.
- Exit : Based on the selected time frame, closing the closing price, closing the market price,
- Stop loss: When it breaks through the entry price and buys, returns to the market price (the previous day's closing price) and changes to bear candle, stop loss.
- Long/short comparison: When short version is selected, it shows the result of short instead of long.
This strategy is a low-level strategy.
When used in practice, it can be stronger and more compliant than expected, but it is not smart.
I recommend you to develop a more hidden edge and use it as a drawing paper to create your own strategy.
Through the option settings,
I'll check if it's right for my first salary or at different times.
It will be an opportunity to think about why there is a difference in profits between Long and Short.
Also, the result shows the big difference between having and not having a loss.
I hope it will be an opportunity to break the relationship in the future.
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래리윌리엄스의 변동성돌파전략을 발전시킨
원트레이더 변동성돌파 버전3 입니다.
아래 요소가 포함되어있습니다.
- 진입 : 전일변동성(TR) * 비율(K) 로 계산한 진입가에, 시장가 진입
- 청산 : 선택한 타임프레임 기준으로 종가에, 시장가 청산
- 손절 : 진입가 돌파하여 매수 후, 당일 시가(전일 종가)로 돌아와서 음봉으로 바뀔때 손절
- 롱/숏 비교 : 숏버전을 선택하면 롱대신 숏으로만 처리한 결과를 보여줌
본 전략은 레벨이 낮은 전략으로
실전에서 사용 시 생각보다 강건하고 준수할 순 있으나 스마트하진 못합니다.
더 숨겨진 엣지를 개발하여 자신만의 전략을 만들기 위한 도화지 처럼 사용하시길 추천드립니다.
옵션 설정을 통해
일봉에서 잘 맞는지 다른 시간대에서 맞는지 등을 확인하고
롱과 숏의 수익의 차이는 왜 나는 것인지 고민해보는 계기가 될 것입니다.
또한 손절이 있는 것과 없는 것의 큰 차이를 결과로 확인하여
앞으로 반드시 손절을 넣게 되는 계기가 되길 기원합니다.
PeCryptoThe PeCrypto Indicator is a momentum indicator developed by tradewithpecunia. The indicator is made with 5+ robust indicators for the crypto charts. The indicator has been made with the concepts of support and resistance, ascending/ descending channel, flag, and pole pattern & rising/falling wedges with the crossover of 3+ moving averages. Different parameters (mathematical calculations for each) have been set by us for each mentioned concept above. According to the parameter set by us, the indicator detects different trends in the price using 3 different algorithms. With the help of sigma calculations and the use of 4 different slopes the indicator catches momentum at different positions, according to the parameter set, and generates signal using the conjunction of both the above-mentioned rules. We call this a Kayo cum Shelve system because utilizing the concepts it finds the signals and after satisfying the parameters it generates the final signals. This ensures that there is a momentum check and enough buy and sell signals are generated.
Using 4 parameters for upper bound/lower bounds and divergence rules the catch for median points has been done. 7+ & 7- lengths are looked at from the median points where we have put the stop loss.
Note:
If you are using this script, you acknowledge that the past performance is not necessarily the indication of future results and there are many more factors that go into being a profitable trader.
Before you proceed:
We are not SEBI Registered Analysts and shall not be culpable for any loss incurred directly or indirectly. Our indicator is no holy grail system. Investment in the stock market is subject to market risk. Trading in stocks, futures, or options is not suitable for every trader and involves a considerable risk of loss.
The market may fluctuate, and the user always has a risk of loss, thus, we won’t be liable for any losses incurred while using our indicator, our trading ideas, or our approach.
[Joy] Aladdin Long Trading Strategy 1.0.0 AlphaAladdin's Long trading strategy is to test out Aladdin for long trades only
This strategy is mainly used to test whether Aladdin is suitable for a coin/stocks/futures or for any trading. The profitability, average drawdown, average profits, etc are used by me to decide whether to use it for trading.
What is Aladdin and what does it do?
Using the volume and gradual flow of non-interrupted data (wicks and body of the candles), it tries to detect the macro condition of the market so that one may know in which direction the market is flowing.
* Bearish / Sell sign: On the candle's close, I open a short position
* Bullish sign: On the candle's close, I open a long position
* I take at least 50% profit when the indicator indicates to do so. One can configure that value as desired from the configuration depending on one's risk/money management. I might even convert some portion of the position into stable coins.
FAQ
Q: Does it use some EMA /MA/etc.? Does it use any indicator with tweaked settings?
Answer: No.
Q: What does it mostly depend on?
Answer: Volume and gradual flow of non-interrupted data. The logic depends purely on volume , price bars and the wicks.
Q: Does it work with all coins, stocks, futures, instruments?
Answer: I prefer to use the exchange with the best possible data. Then backtest out to find the best possible timeframe, stop loss and target all derived from this script data.
Q: Can you make it free or make it open source?
Answer: There is no free lunch in this world. I will never reveal or share the source code!
Q: Do you provide ongoing support for the indicator?
Answer: Yes, as long as I can, I will continue updating the indicator
Q: Are the bullish /buy & the bearish/sell markers automatic?
Answer: I have no control over the markers. It is driven purely by logic from the script.
Q: Is this financial advice?
Answer: This is not financial advice. I do not guarantee any profit or loss. I am not responsible for any of your losses or profits. My indicators do not assure profit or loss. It also does not auto-open or auto-close a trade.
Assumptions:
Only long trades are opened and closed. No short trades.
Starting Capital: $20,000
Order Size: 20% of Capital
Data used: Whatever data is available from 2011 till today on Trading view
Findings:
INDEX: BTCUSD 83% profitability using 2day tf
54 closed trades
Profit factor: 16
Sortino Ratio: 5.2
Average Winning Trade: 30%
Average Losing Trade: 9.12%
Largest Winning Trade: 1218%
Largest Losing Trade: 20.25%
Below are the profitability rate for the timeframe and the coins listed as found by running the trading strategy over the following as of today (Aug 1st 2021 12:40 pm Sydney Time).
⚜️ INDEX:BTCUSD 83% using 2day tf
⚜️INDEX:ETHUSD 80% using 1day tf
⚜️FTTUSD 81% using 2day tf
⚜️SRMUSD 71% using 1day tf
⚜️ADAUSDT 81% using 2day tf
⚜️ALGOUSD > 90% using 2day tf
⚜️ALTPERP 81% using 2day tf
⚜️AVAXUSDT 75% using 1day tf
⚜️BANDUSD > 90% using 2day tf
⚜️BCHUSD 82% using 2day tf
⚜️BNBUSD 79% using 1day tf
⚜️BNBUSD 85% using 2day tf
⚜️CHZUSD 71% using 1day tf
⚜️COMPUSD 81% using 1day tf
⚜️DOGEUSD 77% using 1day tf
⚜️EXCHPERP 83% using 1day tf
⚜️FILUSD > 90% using 1day tf
⚜️FTMUSD 70% using 2day tf
⚜️HTUSDT 75% using 2day tf
⚜️KINUSD >90% using 2day tf
⚜️LINKPERP 85% using 2day tf
⚜️LTCUSD 80% using 2day tf
⚜️MATICUSD 77% using 2day tf
⚜️NEOUSD 80% using 1day tf
⚜️NEXOUSD > 90% using 1day tf
⚜️OKBUSD 71% using 1day tf
⚜️OMGUSD 75% using 1day tf
⚜️RSRUSD 87% using 1day tf
⚜️RUNEUSD > 90% using 1day tf
⚜️SHITPERP > 90% using 1day tf
⚜️SOLUSD 84% using 1day tf
⚜️SUSHIUSD 71% using 1day tf
⚜️THETAUSD > 90% using 2day tf
⚜️UNIPERP 83% using 1day tf
⚜️VERTPERP > 90% using 1day tf
⚜️XAUUSD 63% using 2day tf
⚜️XTZUSD 83% using 2day tf
⚜️ZECUSD 72% using 2day tf
Disclaimer:
No one knows what will happen in the future. DYOR and decide on your own conditions. Do realize that neither I nor my indicator can guarantee any profit or loss. And there is no assurance that any trade will ever result in any profit. It is not financial advice.
[ADOL_]ARVIS 3ENG) This is version 3 of ARVIS BOT. ARVIS 3
Since it is a new version with a completely different identity from Trend Break, we do not use the name Trend Break.
It is a version made lighter in the existing version and newly created logic.
Existing ARVIS users can use versions 1, 2, 3 and 3R auxiliary tools to be added without additional rights.
Optional use is possible.
principle)
Features of the new core logic:
It was created considering the relative strength RSI and the ICHIMOKU moving average.
Identify the trend strength to generate a long and short reversal signal at the reversal of the trend.
By using HTF signal, it is possible to bring the signal of the upper time to the smaller time.
By using HTF, the candle splits and the standard maintains the flow of time.
A method was used to reduce the whipsaw of frequent signal appearances.
option)
A volatility warning notification has been included. A function that alerts you before volatility increases.
It is indicated in the form of ■ at the bottom of the chart.
You can optionally set the signal range.
Dynamic Fibonacci moving along the candlestick was applied. 0.5 is used as a criterion for determining a large trend.
By combining the RSI and the moving average, you can apply a background that utilizes the RSI as a sensitivity.
By combining RSI and Stochastic, the overbought/oversold section was output as the background.
You can output overbought/oversold at the desired time as a background.
Up/down divergence included as background.
Black is downward divergence and white is upward divergence.
In the lower right corner, an indicator for the probability of a long is added by combining the multiple moving averages and the figures analyzed for the convergence trend.
50% is used as a reference point for long/short conversion, 10~20% is considered oversold section, and 80~90% is considered overbought section.
It can be used as a reference point for counter-trend trading. Probability indicators allow you to increase your judgment with visualized numbers.
principle example)
time frame)
Recommended time frame: 15-minute peaks >> 1-hour peaks > 1.3-minute peaks = 4 hour peaks = daily
alarm)
Various alert functions are available. based on the alert signal
When trading, various signals help to set specific conditions.
- HTF Long Short , Alert
- Volatility warning alert
- Basic long and short alerts
- Up/down divergence alert
trading method)
1. Utilize SIGNAL1 L,S signals. It is a similar approach to the existing manual bot mode.
2.SIGNAL2's , signals can bring high-time signals to buy and sell. This is a similar approach to the existing autobot mode.
If you bring a high time signal to a small time, you can refine the hit point, so in this case, use SIGNAL2 of 15 minutes or longer.
SIGNAL2 15-minute view at 3-minute peak, SIGNAL 1 hour view at 15-minute peak, and SIGNAL 4 hour view at 1-hour peak are recommended values.
3-1. Entry criteria/stop loss criteria (when trading hands and bots)
- entry criteria; Follow the signal.
- Stop loss criteria;
Use fixed stop loss: Set 1% fixed stop loss section from signal generation. (% is set individually)
Use Candle Stop Loss: Set a stop loss when the low or high point of the signal generating bar collapses.
Use flow stop loss: Set the stop loss considering the flow of the wave.
3-2. Entry criteria/stop loss criteria (in case of signal-based bot trading)
- It is not recommended to use more than 3x magnification. The above entry requires manual intervention and risk management.
It switches every time the opposite signal appears after entering without setting the stop loss separately.
Example of using the 15-minute HTF signal in the 3-minute scale
4. Note
You are solely responsible for any trading decisions you make.
ARVIS 3R indicator will be updated. Required for use of ARVIS 3
This is an additional feature. It is created as an indicator at the bottom, not as a candle chart.
5. How to use
It is set to be available only to invited users. When invited,
Tap Add Indicator to Favorites at the bottom of the indicator.
If you click the indicator at the top of the chart screen and look at the left tab, there is a Favorites tab.
Add an indicator by clicking the indicator name in the Favorites tab.
KOR) ARVIS BOT의 3버전입니다. ARVIS 3
Trend Break와 정체성을 완전히 달리한 신버전이므로
더이상 Trend Break 의 명칭을 쓰지 않습니다.
기존버전을 경량화하고 로직을 새롭게 만든 버전입니다.
기존의 ARVIS 이용자는 추가 권한 없이 1,2,3버전과 추가될 3R보조도구의
선택 활용이 가능합니다.
원리)
새로운 핵심적인 로직의 기능 :
상대강도인 RSI와 ICHIMOKU 이평선을 고려하여 만들어졌습니다.
추세강도를 파악해 추세의 전환자리에서 롱과 숏의 전환 신호를 발생시키도록 합니다.
HTF신호를 이용하여 상위 시간의 신호를 작은 시간대로 가져올 수 있습니다.
HTF를 활용함으로써 캔들은 쪼개고 기준은 상위 시간의 흐름을 유지해
잦은 신호출현의 휩쏘를 줄이는 방법을 사용하였습니다.
옵션)
변동성 경고 알림이 포함되었습니다. 변동성이 커지기 전에 미리 알려주는 기능으로
차트하단에 ■ 형태로 표기됩니다.
시그널의 범위를 옵션으로 설정할 수 있습니다.
캔들을 따라 움직이는 동적 피보나치가 적용되었습니다. 0.5를 큰 추세 판단 기준으로 활용합니다.
RSI와 이평선을 결합하여 RSI를 민감도로 활용한 배경을 적용할 수 있습니다.
RSI와 스토캐스틱을 결합하여 과매수/과매도구간을 배경으로 출력하였습니다.
원하는 시간의 과매수/과매도를 배경으로 출력할 수 있습니다.
상승/하락 다이버전스가 배경으로 포함되었습니다.
검은색은 하락다이버전스, 흰색은 상승다이버전스입니다.
우측하단에 다중이평선과 수렴추세를 분석한 수치를 종합하여 롱의 확률에 대한 표시기가 추가되었습니다.
50%는 롱/숏의 전환 기준점으로 활용하며, 10~20%는 과매도 구간, 80~90%는 과매수 구간으로 간주하여
역추세 매매의 기준점으로 활용할 수 있습니다. 확률 표시기를 통해 가시화된 수치로 판단을 높일 수 있습니다.
원리 예시)
타임프레임)
추천타임프레임 : 15분봉 >> 1시간봉 > 1,3분봉 = 4시간봉 = 일봉
알람)
다양한 얼러트 기능을 사용할 수 있습니다. 얼러트 신호를 기반으로
매매시 다양한 신호는 구체적 조건 설정에 도움이 됩니다.
- HTF 롱숏🥵,🥶 얼러트
- 변동성 경고 얼러트
- 기본 롱,숏 얼러트
- 상승/하락 다이버전스 얼러트
매매방법)
1. SIGNAL1 L,S 신호를 활용합니다. 기존의 수동봇 모드와 비슷한 접근입니다.
2.SIGNAL2의 🥵,🥶 신호는 높은 시간의 신호를 가져와 매매할 수 있습니다. 기존의 자동봇 모드와 비슷한 접근입니다.
높은 시간대의 신호를 작은시간으로 가져오면 타점을 정교화 할 수 있으므로, 이와같은 경우 15분 이상의 SIGNAL2를 활용합니다.
3분봉에서 SIGNAL2 15분 보기, 15분봉에서 SIGNAL 1시간 보기, 1시간봉에서 SIGNAL 4시간 보기가 추천값입니다.
3-1. 진입기준/손절기준(손,봇 매매시)
- 진입기준; 시그널을 따릅니다.
- 손절기준;
고정손절가 이용 : 시그널 발생으로부터 1% 고정 손절가 구간을 설정합니다.(%는 개별로 설정)
캔들손절가 이용 : 시그널 발생봉의 저점이나 고점이 무너지면 손절을 설정합니다.
흐름손절가 이용 : 파동의 흐름을 고려하여 손절을 설정합니다.
3-2. 진입기준/손절기준(신호기반 봇 매매시)
- 3배율 이상을 권장하지 않습니다. 이상의 진입은 수동개입으로 리스크관리가 필요합니다.
손절가를 따로 설정하지 않고 진입후 반대신호가 뜰때마다 스위칭을 합니다.
3분봉에서 15분HTF 신호사용의 예시
4. 참고
귀하가 내리는 모든 거래 결정은 전적으로 귀하의 책임입니다.
ARVIS 3R 지표가 업데이트 예정입니다. ARVIS 3의 활용에 필요한
부가적인 기능입니다. 캔들차트가 아닌 하단의 지표로 생성됩니다.
5. 사용방법
초대된 사용자만 사용할 수 있도록 설정이 되어있습니다. 초대를 받을 경우,
지표 하단의 즐겨찾기에 인디케이터 넣기를 누릅니다.
차트화면 상단에 지표를 눌러서 왼쪽탭에 보면 즐겨찾기 탭이 있습니다.
즐겨찾기 탭에서 지표이름을 눌러서 지표를 추가합니다.
[ADOL_]Trend Break Pro ARVIS BOTENG) Trend Break Pro Version : ARVIS BOT
It automatically draws trend lines and signals signals based on sophisticated standards.
It is an indicator that can be used as a tool for trading. from scalping
It was made as an all-round player that can even use the swing.
It contains all the signals of a breakout of the basic trend line,
By applying a new logic, signals that are faster than the breakout point of the basic trend line and
I made it to produce a better value while catching the signal of the press.
principle)
Basic trendline features:
It reflects the concepts of HH and LL.
Trendlines are created using the basic construction method, connecting highs and highs and lows and lows.
The 3 candles prior to the breakout of the trend line are the triggers to create a ready-to-prepare base signal.
What is HH? It is an abbreviation of Higher High, which means to raise the high.
What is LL? An abbreviation of Lower Low, which means to lower the low.
Features of the new core logic:
This is a quick way to find a reversal of a trend, taking into account candle patterns, volume, and moving averages.
The candle pattern that is reversed when the trading volume increases and then disappears is processed by subdividing and digitizing the pattern.
generate a signal. At the turning point of the trend, it triggers a long and short reversal signal.
For trading volume, obv was utilized. Overlaid elements allow you to find signals that are slightly faster than the trend line.
What is obv? OBV = An abbreviation of On Balance Volume. It is a secondary indicator showing the cumulative total of trading volume.
The background is a notation of the section where the trend is reversing.
option)
The degree of freedom to set options according to scalping, single stroke, swing, and bot implementation is given.
A volatility warning notification has been included. The function of TD setup is included.
You can set the range of candles as an option. The backtesting value is printed.
The backtesting value is calculated as the average of the opening and closing prices.
Volatility warnings are displayed in yellow.
TD Setup: Numbers floating on the candle, in ascending and descending order (=sequence) from 1 to 9.
The reason for writing up to 9 is based on statistics, and the more fundamental principle is the theory of the Fibonacci sequence.
The Fibonacci sequence is the number in the golden ratio that makes up nature, 1.1.2.3.5.8.13.21.34.55.89...
The sum of the nth and n+1th numbers becomes n+2th.
A note on odds of winning. Even if the win rate is 33%, if the profit-loss stop-loss ratio is 3 to 1, the profit exceeds 2, so cumulative profits are generated.
In other words, it is decided by considering both the win rate and profit/loss ratio, not just the win rate. The logic of a short stop loss and a long profit trend is reflected.
time frame)
Applicable to any timeframe.
Scalping: 1 minute, 3 minute, 5 minute / Danta: 15 minute, 1 hour / Swing: 4 hour, daily
Recommended time frame: 3, 15 minutes
alarm)
Various alert functions are available. based on the alert signal
When trading, various signals help to set specific conditions.
- Basic long and short alerts
- Volatility warning alert
- Filtered long and short alerts
- Long and short alerts occur Next peak alerts
- Uptrend line, downtrend line breakout alert
- Alerts about bot start and end when bot is running
- Filtered uptrend line, downtrend line breakout alert
- Alerts for rising and falling 1 setup and rising and falling 9 setups respectively
trading method)
1. For the trend line breakout signal, when the signal overlaps more than 3 times, the breakout probability increases.
It reflects the concept below.
One touch of support/resistance: The first touch sees longs at support and shorts at resistance.
2 touches of support/resistance line: Confirm the position once more in the stage of building support/resistance line (compacting). We see longs at support and shorts at resistance.
3 touches of the ground/resistance line: This is a section with a high possibility of both directions.
Support/resistance line 4 (over) touch: Used as a breakout reference line. When breaking through, short at support and long at resistance.
When the support/resistance line breaks through the closing price, support becomes resistance and resistance becomes support.
2. Trade support/resistance lines using the trend line breakout and signal as an important reference bar.
example)
3-1. Entry criteria/stop loss criteria (when trading hands and bots)
- entry criteria; Follow the signal.
- Stop loss criteria;
Use fixed stop loss: Set 1% fixed stop loss section from signal generation. (% is set individually)
Use Candle Stop Loss: Set a stop loss when the low or high point of the signal generating bar collapses.
Use flow stop loss: Set the stop loss considering the flow of the wave.
3-2. Entry criteria/stop loss criteria (in case of signal-based bot trading)
- Approach with a low magnification (more than 10 times is not recommended) to prevent the risk of liquidation of the largest drop,
There is an opposite signal after entering without setting stop loss separately.
4. Note
You are solely responsible for any trading decisions you make.
5. How to use
It is set to be available only to invited users. When invited,
Tap Add Indicator to Favorites at the bottom of the indicator.
If you click the indicator at the top of the chart screen and look at the left tab, there is a Favorites tab.
Add an indicator by clicking the indicator name in the Favorites tab.
KOR) Trend Break Pro버전 : ARVIS BOT ; 아비스 봇 입니다.
추세선을 자동으로 작도해주며, 정교화된 기준으로 시그널을
발생시켜 매매에 도구로써 활용가능한 지표입니다. 스캘핑부터
스윙까지 활용가능한 올라운드 플레이어로 만들어졌습니다.
기본 추세선 돌파의 시그널들을 모두 포함하고 있으며,
새로운 로직을 적용하여 기본 추세선 돌파시점보다 빠른 신호와
눌림의 신호까지 잡아내면서, 더 나은 값을 산출하도록 만들었습니다.
원리)
기본 추세선 기능 :
HH와 LL의 개념을 반영합니다.
추세선은 고점과 고점, 저점과 저점을 잇는 기본 작도 방법으로 만들어집니다.
추세선 돌파의 3개 이전 캔들부터 신호발생으로 준비를 기본 시그널을 만듭니다.
HH란 ? Higher High의 약자로 고점을 높인다는 의미입니다.
LL란? Lower Low의 약자로 저점을 낮춘다는 의미입니다.
새로운 핵심적인 로직의 기능 :
추세의 반전을 빠르게 찾기 위한 방법으로 캔들패턴, 거래량, 이평선을 고려하여 만들어졌습니다.
거래량이 증가하다가 소멸하는 시점에서 반전되는 캔들패턴을 세분화하고 수치화하여 가공된
신호를 발생시킵니다. 추세의 전환자리에서 롱과 숏의 전환 신호를 발생시키도록 합니다.
거래량에는 obv가 활용되었습니다. 중첩된 요소들을 통해 추세선보다 조금 더 빠른 신호를 찾을 수 있습니다.
obv란 ? OBV = On Blance Volume의 약자로 거래량의 누적합계를 나타내는 보조지표 입니다.
배경은 추세가 전환되는 구간의 표기입니다.
옵션)
스캘핑과 단타, 스윙, 봇의 구현에 맞게 옵션을 설정할 수 있는 자유도를 부여하였습니다.
변동성 경고 알림이 포함되었습니다. TD셋업의 기능이 포함되었습니다.
캔들의 범위를 옵션으로 설정할 수 있습니다. 백테스팅 값이 출력됩니다.
백테스팅 값은 시가와 종가의 평균값으로 산출됩니다.
변동성경고는 yellow 컬러로 표기됩니다.
TD셋업 : 캔들위에 플로팅 되는 숫자로 1~9까지의 오름차순, 내림차순 (=시퀀스)으로 구성됩니다.
9까지 쓰는 이유는 통계기반, 좀 더 근본적인 원리는 피보나치 수열의 이론이 반영되어 있습니다.
피보나치 수열이란 자연을 이루는 황금비율의 숫자로 1.1.2.3.5.8.13.21.34.55.89...
n번째와 n+1번째 숫자의 합이 n+2번째가 됩니다.
원리 예시)
승률에 관한 참고사항. 승률이 33퍼센트의 승률이어도 3대 1의 익절 손절 비율이면 이익이 2를 넘어가니까 누적수익이 발생합니다.
즉, 승률과 손익비를 모두 고려해서 결정하는 것이지, 승률만 봐서는 안됩니다.
손절은 짧게, 수익은 추세대로 길게의 로직이 반영되어 있습니다.
타임프레임)
모든 시간프레임에 적용 가능합니다.
스캘핑 : 1분봉, 3분봉, 5분봉 / 단타 : 15분봉, 1시간봉 / 스윙 : 4시간봉, 일봉
추천타임프레임 : 3, 15분봉
5분봉)
15분봉)
4시간봉)
알람)
다양한 얼러트 기능을 사용할 수 있습니다. 얼러트 신호를 기반으로
매매시 다양한 신호는 구체적 조건 설정에 도움이 됩니다.
- 기본 롱,숏 얼러트
- 변동성 경고 얼러트
- 필터링된 롱,숏 얼러트
- 롱,숏 얼러트 발생 다음봉 얼러트
- 상승추세선, 하락추세선 돌파 얼러트
- 봇구동시 봇의 시작과 종료에 관한 얼러트
- 필터링된 상승추세선, 하락추세선 돌파 얼러트
- 상승,하락1셋업과 상승,하락9셋업 각각에 대한 얼러트
매매방법)
1. 추세선 돌파신호는 신호가 3번이상 중첩될시 돌파확률이 상승합니다.
아래 개념을 반영합니다.
지지/저항선 1터치 : 첫번째 터치에는 지지선에서 롱을, 저항선에서 숏을 봅니다.
지지/저항선 2터치 : 지지/저항선 구축(다지기)의 단계로 한번 더 자리를 확인합니다. 지지선에서 롱을, 저항선에서 숏을 봅니다.
지/저항선의 3터치 : 양방향의 가능성이 높은 구간입니다.
지지/저항선4(이상)터치 : 돌파기준선으로 사용합니다. 돌파할 때, 지지선에서 숏을, 저항선에서 롱을 칩니다.
지지/저항선이 종가로 뚫리면 지지는 저항이 되고, 저항은 지지가 됩니다.
2. 추세선돌파와 시그널이 발생한 봉을 중요한 기준봉으로 활용하여 지지/저항선 매매를 합니다.
예시)
3-1. 진입기준/손절기준(손,봇 매매시)
- 진입기준; 시그널을 따릅니다.
- 손절기준;
고정손절가 이용 : 시그널 발생으로부터 1% 고정 손절가 구간을 설정합니다.(%는 개별로 설정)
캔들손절가 이용 : 시그널 발생봉의 저점이나 고점이 무너지면 손절을 설정합니다.
흐름손절가 이용 : 파동의 흐름을 고려하여 손절을 설정합니다.
3-2. 진입기준/손절기준(신호기반 봇 매매시)
- 저배율(10배이상은 권장하지 않습니다)로 접근해 최대낙폭의 청산위험을 예방하며,
손절가를 따로 설정하지 않고 진입후 반대신호가 뜰때마다 스위칭을 합니다.
4. 참고
귀하가 내리는 모든 거래 결정은 전적으로 귀하의 책임입니다.
5. 사용방법
초대된 사용자만 사용할 수 있도록 설정이 되어있습니다. 초대를 받을 경우,
지표 하단의 즐겨찾기에 인디케이터 넣기를 누릅니다.
차트화면 상단에 지표를 눌러서 왼쪽탭에 보면 즐겨찾기 탭이 있습니다.
즐겨찾기 탭에서 지표이름을 눌러서 지표를 추가합니다.
Breakout Trend Trading Strategy - V1Strategy in nutshell:
This strategy is made to be used in daily time-frames. Works better on trending instruments where volume is available. Hence, this is more suitable for trending shares rather than currencies, commodities and indexes where volume data is either not present or not reliable.
Breakout signifies the continuation of trend. Hence, trade in the direction of breakouts. Breakouts are calculated based on high volume and price movement in a day. This will be combined with few other conditions to generate buy and sell signals along with stop and compound targets. Supertrend is used for trend bias. Our buy and sell targets do not directly depend on the bias. But, entry criteria in opposite trend is made much difficult than that of trend direction. Further explanation of method and input parameters are explained below.
Backtesting parameters :
Capital and position sizing : Capital and position sizing parameters are set to test investing 2000 wholly on certain stock without compounding.
Initial Capital : 2000
Order Size : 100% of equity
Pyramiding : 1
ExitOnSignal : If unchecked exit is triggered solely on trailing stop
Trade Direction : Long, Short or All. Short condition is riskier than long conditions and often results in losses as per my observation. On most of the stocks trending up, strategy will not generate any short signals. This is achieved by comparing yearly high lows to previous two years to decide whether to allow short or long entries.
allowImmediateCompound : Applicable only if compounding/pyramiding is enabled in trade. If checked allows to place compounding orders immediately. If unchecked, it waits for stopline to cross order price before placing next compound.
Display Mode :
Targets : Whenever breakout happens, show marker for upTarget and downTarget
TargetChannel : Show up target and downtarget as a channel
Target With Stop : Along with targets, show also stop levels for breakouts
Up Channel : Channel created from UpTarget and respective stops
Down Channel : Channel created from DownTarget and respective stops
ShowTrailingStop : Shows trailing stop and compound lines when there is a trading position.
ShowTargetLevels : Shows Buy Sell target levels along with stop and compound lines. Trades are done as market orders. Hence, target levels are displayed after strategy makes the trade. Since only one order allowed per side without compounding, target, stop and compound levels are shown sometimes even without trade being made. These can be considered as entry levels if there is no existing position.
ShowPreviousLevels : Shows previous buy/sell target levels. When enabled, layout can look messy.
StopMultiplyer: To Set trailing stop loss.
BacktestYears: Number of years to include in backtest
So far my test cases are:
Positive : AAPL, AMZN, TSLA, RUN, VRT, ASX:APT
Negative Test Cases: WPL, WHC, NHC, WOW, COL, NAB (All ASX stocks)
Special test case: WDI
Negative test cases still show losses in backtesting. I have attempted including many conditions to eliminate or reduce the loss. But, further efforts has resulted in reduction in profits in positive cases as well. Still experimenting. Will update whenever I find improvements. Comments and suggestions welcome :)
Tweezer Top & Tweezer Bottom Pattern (Expo)Tweezer Top/Bottom Pattern (Expo) indicator identifies real-time Tweezer Top and Tweezer Bottom in any market and in any timeframe. This is an enhanced version of the pattern which enables higher accuracy, and noise filtering. In addition to that, Tweezer Levels can be displayed which can be used in many different ways, for instance, as a stop loss level, or to confirm the signal.
The ideal Tweezer pattern includes that the wicks should be 100% the same length. However, that rarely happens. So in this enhanced version, the user can set the maximum change that is allowed between the wicks.
To enhance the signal accuracy a Bullish engulfing and Bearish engulfing filter can be toggled on. So a signal will only be displayed if an engulfing candle is in play.
HOW TO USE
Tweezer Top/Bottom should be used together with KEY market levels or with KEY supply/demand zones.
Enter Long: if a Tweezer Bottom signal occurs at a KEY Level or on a KEY supply/demand zone.
Target: The first target should be the nearest resistance level or supply zone. The second target should be the next resistance level or supply zone, and so on.
Enter Short: if a Tweezer Top signal occurs at a KEY Level or on a KEY supply/demand zone.
Target: The first target should be the nearest support level or demand zone. The second target should be the next support level or demand zone, and so on.
Stop Loss: The Tweezer levels can be used as a stop loss.
Remember: Use the indicator together with KEY levels or KEY Supply/Demand Zones.
INDICATOR IN ACTION
4 Hour chart
I hope you find this indicator useful , and please comment or contact me if you like the script or have any questions/suggestions for future improvements. Thanks!
I will continually work on this indicator, so please share your experience and feedback as it will enable me to make even better improvements. Thanks to everyone that has already contacted me regarding my scripts. Your feedback is valuable for future developments!
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Disclaimer
Copyright by Zeiierman.
The information contained in my scripts/indicators/ideas 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, 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 are only for educational purposes!
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ACCESS THE INDICATOR
• Contact me on TradingView or use the links below
Two Take Profit StrategyThis script is for research purposes only. I am not a financial advisor.
Entry Condition
This strategy is based on two take profit targets and scaling out strategy. The entry rule is very simple. Whenever the EMA crossover WMA, the long trade is taken and vice versa.
Take Profit and Stop Loss
The first take profit is set at 20 pips above the long entry and the second take profit is set at 40 pips above the long entry. Meanwhile, the stop loss is set at 20 pips below the long entry.
Money Management
When the first take profit is achieved, half of the position is closed. The rest of the position is open to achieve either second take profit or stop loss.
There are three outcomes when using this strategy. Let's say you enter the trade with 200 lot size and you are risking 2% of your equity.
1. The first outcome is when the price hits stop loss, you lose the entire 2%.
2. The second outcome is when the price hits the first take profit and you close half of your position. Meaning that you have gained 1%. Then you let the trade running and eventually it hits stop loss. The total loss is 0% because the remaining lot size which is 200/2=100 times by 20pips is 1%. You have gained the earlier 1% and then loss 1%. At this point, you are at break even.
3. The third outcome is similar to the second out but instead of hiring stop loss, the trade is running to your favor and hits the second take profit.
Therefore, you gained 1% from the first take profit and you gained another 2% for the second take profit. Your total gained is 3%
Summary
The reason behind this strategy is to minimize risk. with normal strategy, you only have two outcomes which are either win or loss. With this strategy, you have three outcomes which are win, loss or break even.
Gandulfas Trading SuiteAn indicator designed to quickly and easily enter you trades, with all the information you need in just one chart!
It uses a combination of :
Price action to have a Weekly BIAS
Volatility channels to track dynamic points of support/resistance
A momentum indicator on the background to point out when the pair is in "overbought/oversold" status - adds confluence to our entries.
Volatility pivots based on the Average Daily Range, to quickly manage your entries and stop losses - more confluence!
How to use this system?
First, we use the price action lines to define a weekly bias. If the price moves above this anchor, then we are looking for buying oportunities on retracements. If the price moves below this anchor, then we look for seling oportunities on retracements.
Now that we have a Weekly BIAS, we know that for this week we are currently looking for buying oportunities. Then, we can use the Volatility Channel to look for buying oportunities. Optimal entries are found within the channels and clouds!.
We should always look for a confluence of factors before entering any trade , and for that we decided to also add to the system a momentum indicator . This also can act as an early warning, telling us a that a potential setup is coming our way.
Does it repaint? No. The system is designed this way to reduce confirmation bias and keep your emotions at bay. For example, if you see the momentum indicator , maybe it is close to your threshold but it did not crossed over or crossed under it. Maybe it's 35, when your threshold is 25. It is low indeed , but it has not crossed it. Fact is this will get you emotional, and perhaps make you trigger a trade before you should.
So for this reason we decided to add the momentum indicator just showing the triangles when indeed the threshold has been crossed, so you don't get emotional trying to enter a trade too early. For this reason, you should always wait to the candle to close, to see if indeed we have crossed that threshold.
And then we have our volatility pivots , that help us to define better entries, targets and stop losses. They are based on the Average Daily Range, and it's use is pretty much straigthforward. The notion of this system is to take entries in the weekly direction. So, what we are really trying to achieve here is to get a chunk of that weekly expansion . The fastest the better, as having a positions means having exposure to the market. To achieve this objective the daily range helps us a lot.
If we are looking for a bullish day, that means we are looking for an good expansion of the Open-High range. So the daily range helps us to see how many pips this range could be on any given day. Then we apply a correction factor , because we do not want to estimate the whole range, we are good to go if we could anticipate just a 60% of it, let's say.
And it also helps us to define our stop loss places, because the range also tell us when it is most probable that our trading idea was wrong. Because if we are looking for a bullish day, we expect a good expansion on the open-high, not on the open-low!. So it also makes sense to take a look on the level that makes our idea most probably wrong!.
Here you can see how these pivots helps us to add extra confluence to our trading idea.
Our best trades are then performed....
Wednesday on the chart is the perfect example of the best type of trade you could perform. You have price entering the volatility channel, with the momentum indicator in our oversold zone, and price just a bit above our ADR pivots!.
Where should you put your targets?
You can use the volatility channel, and or also the pivots as we just described!
Where should you put your stop loss?
Below the volatility channel, taking into account where the pivots are. Because remember, if price trades below those, it most likely means that your idea was wrong, and you should not keep the trade open.
If you want to test or use this trading system on a regular basis, please get in touch with us through the private chat!
Technical Summary VWAP | RSI | VolatilityTechnical Summary VWAP | RSI | Volatility
The Quantum Trading Matrix is a multi-dimensional market-analysis dashboard designed as an educational and idea-generation tool to help traders read price structure, participation, momentum and volatility in one compact view. It is not an automated execution system; rather, it aggregates lightweight “quantum” signals — VWAP position, momentum oscillator behaviour, multi-EMA trend scoring, volume flow and institutional activity heuristics, market microstructure pivots and volatility measures — and synthesizes them into a single, transparent score and signal recommendation. The primary goal is to make explicit why a given market looks favourable or unfavourable by showing the individual ingredients and how they combine, enabling traders to learn, test and form rules based on observable market mechanics.
Each module of the matrix answers a distinct market question. VWAP and its percentage distance indicate whether the current price is trading above or below the intraday volume-weighted average — a proxy for intraday institutional control and value. The quantum momentum oscillator (fast and slow EMA difference scaled to percent) captures short-to-intermediate momentum shifts, providing a quickly responsive view of directional pressure. Multi-EMA trend scoring (8/21/50) produces a simple, transparent trend score by counting conditions such as price above EMAs and cross-EMAs ordering; this score is used to categorize market trend into descriptive buckets (e.g., STRONG UP, WEAK UP, NEUTRAL, DOWN). Volume analysis compares current volume to a recent moving average and computes a Z-score to detect spikes and unusual participation; additional buy/sell pressure heuristics (buyingPressure, sellingPressure, flowRatio) estimate whether upside or downside participation dominates the bar. Institutional activity is approximated by flagging large orders relative to volume baseline (e.g., volume > 2.5× MA) and estimating a dark pool proxy; this is a heuristic to highlight bars that likely had large players involved.
The dashboard also performs market-structure detection with small pivot windows to identify recent local support/resistance areas and computes price position relative to the daily high/low (dailyMid, pricePosition). Volatility is measured via ATR divided by price and bucketed into LOW/NORMAL/HIGH/EXTREME categories to help you adapt stop sizing and expectational horizons. Finally, all these pieces feed an interpretable scoring function that rewards alignment: VWAP above, strong flow ratio, bullish trend score, bullish momentum, and favorable RSI zone add to the overall score which is presented as a 0–100 metric and a colored emoji indicator for at-a-glance assessment.
The mashup is purposeful: each indicator covers a failure mode of the other. For example, momentum readings can be misleading during volatility spikes; VWAP informs whether institutions are on the bid or offer; volume Z-score detects abnormal participation that can validate a breakout; multi-EMA score mitigates single-EMA whipsaws by requiring a combination of price/EMA conditions. Combining these signals increases information content while keeping each component explainable — a key compliance requirement. The script intentionally emphasizes transparency: when it shows a BUY/SELL/HOLD recommendation, the dashboard shows the underlying sub-components so a trader can see whether VWAP, momentum, volume, trend or structure primarily drove the score.
For practical use, adopt a clear workflow: (1) check the matrix score and read the component tiles (VWAP position, momentum, trend and volume) to understand the drivers; (2) confirm market-structure support/resistance and pricePosition relative to the daily range; (3) require at least two corroborating components (for example, VWAP ABOVE + Momentum BULLISH or Volume spike + Trend STRONG UP) before considering entries; (4) use ATR-based stops or daily pivot distance for stop placement and size positions such that the trade risks a small, pre-defined percent of capital; (5) for intraday scalps shorten holding time and tighten stops, for swing trades increase lookback lengths and require multi-timeframe (higher TF) agreement. Treat the matrix as an idea filter and replay lab: when an alert triggers, replay the bars and observe which components anticipated the move and which lagged.
Parameter tuning matters. Shortening the momentum length makes the oscillator more sensitive (useful for scalping), while lengthening it reduces noise for swing contexts. Volume profile bars and MA length should match the instrument’s liquidity — increase the MA for low-liquidity stocks to reduce false institutional flags. The trend multiplier and signal sensitivity parameters let you calibrate how aggressively the matrix counts micro evidence into the score. Always backtest parameter sets across multiple periods and instruments; run walk-forward tests and keep a simple out-of-sample validation window to reduce overfitting risk.
Limitations and failure modes are explicit: institutional flags and dark-pool estimates are heuristics and cannot substitute for true tape or broker-level order flow; volume split by price range is an approximation and will not perfectly reflect signed volume; pivot detection with small windows may miss larger structural swings; VWAP is typically intraday-centric and less meaningful across multi-day swing contexts; the score is additive and may not capture non-linear relationships between features in extreme market regimes (e.g., flash crashes, circuit breaker events, or overnight gaps). The matrix is also susceptible to false signals during major news releases when price and volume behavior dislocate from typical patterns. Users should explicitly test behavior around earnings, macro data and low-liquidity periods.
To learn with the matrix, perform these experiments: (A) collect all BUY/SELL alerts over a 6-month period and measure median outcome at 5, 20 and 60 bars; (B) require additional gating conditions (e.g., only accept BUY when flowRatio>60 and trendScore≥4) and compare expectancy; (C) vary the institutional threshold (2×, 2.5×, 3× volumeMA) to see how many true positive spikes remain; (D) perform multi-instrument tests to ensure parameters are not tuned to a single ticker. Document every test and prefer robust, slightly lower returns with clearer logic rather than tuned “optimal” results that fail out of sample.
Originality statement: This script’s originality lies in the curated combination of intraday value (VWAP), multi-EMA trend scoring, momentum percent oscillator, volume Z-score plus buy/sell flow heuristics and a compact, interpretable scoring system. The script is not a simple indicator mashup; it is a didactic ensemble specifically designed to make internal rationale visible so traders can learn how each market characteristic contributes to actionable probability. The tool’s novelty is its emphasis on interpretability — showing the exact contributing signals behind a composite score — enabling reproducible testing and educational value.
Finally, for TradingView publication, include a clear description listing the modules, a short non-technical summary of how they interact, the tunable inputs, limitations and a risk disclaimer. Remove any promotional content or external contact links. If you used trademark symbols, either provide registration details or remove them. This transparent documentation satisfies TradingView’s requirement that mashups justify their composition and teach users how to use them.
Quantum Trading Matrix — multi-factor intraday dashboard (educational use only).
Purpose: Combines intraday VWAP position, a fast/slow EMA momentum percent oscillator, multi-EMA trend scoring (8/21/50), volume Z-score and buy/sell flow heuristics, pivot-based microstructure detection, and ATR-based volatility buckets to produce a transparent, componentized market score and trade-idea indicator. The mashup is intentional: VWAP identifies intraday value, momentum detects short bursts, EMAs provide structural trend bias, and volume/flow confirm participation. Signals require alignment of at least two components (for example, VWAP ABOVE + Momentum BULLISH + positive flow) for higher confidence.
Inputs: momentum period, volume MA/profile length, EMA configuration (8/21/50), trend multiplier, signal sensitivity, color and display options. Use shorter momentum lengths for scalps and longer for swing analysis. Increase volume MA for thinly traded instruments.
Limitations: Institutional/dark-pool estimates and flow heuristics are approximations, not actual exchange tape. VWAP is intraday-focused. Expect false signals during major news or low-liquidity sessions. Backtest and paper-trade before applying real capital.
Risk Disclaimer: For education and analysis only. Not financial advice. Use proper risk management. The author is not responsible for trading losses.
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Risk & Misuse Disclaimer
This indicator is provided for education, analysis and idea generation only. It is not investment or financial advice and does not guarantee profits. Institutional activity flags, dark-pool estimates and flow heuristics are approximations and should not be treated as exchange tape. Backtest thoroughly and use demo/paper accounts before trading real capital. Always apply appropriate position sizing and stop-loss rules. The author is not responsible for any trading losses resulting from the use or misuse of this tool.
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Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Back test thoroughly and use proper risk management.
NIFTY_2min_FVG_Buy_StrategySummary
This strategy is designed for scalping Nifty on a 2-minute chart, focusing exclusively on long entries. The script's purpose is to identify and act on specific bullish reversal patterns based on volume analysis and price action.
Concept & Core Logic
The strategy operates on a two-stage confirmation process:
Volume Absorption: The initial condition seeks to identify potential bullish reversals by detecting signs of selling pressure being absorbed by buyers. This suggests that a downward move may be losing momentum.
Fair Value Gap (FVG) Confirmation: After a volume absorption signal, the strategy waits for a Fair Value Gap (FVG) to appear. A long entry signal is generated only after a candle closes above the FVG zone, serving as confirmation of bullish intent.
Risk Management
The strategy employs a fixed take profit and stop loss for each trade, based on the Nifty underlying price:
Take Profit: The exit signal is triggered when a trade reaches a 25-point profit.
Stop Loss: The exit signal is triggered when a trade reaches a 30-point loss.
Intended Use
This tool is intended for traders who:
Utilize mechanical, rule-based systems for intraday trading and scalping.
Are interested in studying a structured approach that combines volume analysis with price action inefficiencies like Fair Value Gaps.
