BinaryInsertionSortLibrary "BinaryInsertionSort"
Library containing functions which can help create sorted array based on binary insertion sort.
This sorting will be quicker than array.sort function if the sorting needs to be done on every bar and the size of the array is comparatively big.
This is created with the intention of using this to solve a bigger problem posted by @lejmer. Wish me luck!!
binary_insertion_sort(sortedArray, item, order)
binary insertion sort - inserts item into sorted array while maintaining sort order
Parameters:
sortedArray : array which is assumed to be sorted in the requested order
item : float|int item which needs to be inserted into sorted array
order : Sort order - positive number means ascending order whereas negative number represents descending order
Returns: int index at which the item is inserted into sorted array
update_sort_indices(sortIndices, newItemIndex)
adds the sort index of new item added to sorted array and also updates existing sort indices.
Parameters:
sortIndices : array containing sort indices of an array.
newItemIndex : sort index of new item added to sorted array
Returns: void
get_array_of_series(item, order)
Converts series into array and sorted array.
Parameters:
item : float|int series
order : Sort order - positive number means ascending order whereas negative number represents descending order
Returns:
get_sorted_arrays(item, order)
Converts series into array and sorted array. Also calculates the sort order of the value array
Parameters:
item : float|int series
order : Sort order - positive number means ascending order whereas negative number represents descending order
Returns:
Cari skrip untuk "binary"
BinaryLibrary "Binary"
This library includes functions to convert between decimal and binary numeral formats, and logical and arithmetic operations on binary numbers.
method toBin(value)
Converts the provided boolean value into binary integers (0 or 1).
Namespace types: series bool, simple bool, input bool, const bool
Parameters:
value (bool) : The boolean value to be converted.
Returns: The converted value in binary integers.
method dec2bin(value, iBits, fBits)
Converts a decimal number into its binary representation.
Namespace types: series float, simple float, input float, const float
Parameters:
value (float) : The decimal number to be converted.
iBits (int) : The number of binary digits allocated for the integer part.
fBits (int) : The number of binary digits allocated for the fractional part.
Returns: An array containing the binary digits for the integer part at the rightmost positions and the digits for the fractional part at the leftmost positions. The array indexes correspond to the bit positions.
method bin2dec(value, iBits, fBits)
Converts a binary number into its decimal representation.
Namespace types: array
Parameters:
value (array) : The binary number to be converted.
iBits (int) : The number of binary digits allocated for the integer part.
fBits (int) : The number of binary digits allocated for the fractional part.
Returns: The converted value in decimal format.
method lgcAnd(a, b)
Bitwise logical AND of two binary numbers. The result of ANDing two binary digits is 1 only if both digits are 1, otherwise, 0.
Namespace types: array
Parameters:
a (array) : First binary number.
b (array) : Second binary number.
Returns: An array containing the logical AND of the inputs.
method lgcOr(a, b)
Bitwise logical OR of two binary numbers. The result of ORing two binary digits is 0 only if both digits are 0, otherwise, 1.
Namespace types: array
Parameters:
a (array) : First binary number.
b (array) : Second binary number.
Returns: An array containing the logical OR of the inputs.
method lgcXor(a, b)
Bitwise logical XOR of two binary numbers. The result of XORing two binary digits is 1 only if ONE of the digits is 1, otherwise, 0.
Namespace types: array
Parameters:
a (array) : First binary number.
b (array) : Second binary number.
Returns: An array containing the logical XOR of the inputs.
method lgcNand(a, b)
Bitwise logical NAND of two binary numbers. The result of NANDing two binary digits is 0 only if both digits are 1, otherwise, 1.
Namespace types: array
Parameters:
a (array) : First binary number.
b (array) : Second binary number.
Returns: An array containing the logical NAND of the inputs.
method lgcNor(a, b)
Bitwise logical NOR of two binary numbers. The result of NORing two binary digits is 1 only if both digits are 0, otherwise, 0.
Namespace types: array
Parameters:
a (array) : First binary number.
b (array) : Second binary number.
Returns: An array containing the logical NOR of the inputs.
method lgcNot(a)
Bitwise logical NOT of a binary number. The result of NOTing a binary digit is 0 if the digit is 1, or vice versa.
Namespace types: array
Parameters:
a (array) : A binary number.
Returns: An array containing the logical NOT of the input.
method lgc2sC(a)
2's complement of a binary number. The 2's complement of a binary number N with n digits is defined as 2^(n) - N.
Namespace types: array
Parameters:
a (array) : A binary number.
Returns: An array containing the 2's complement of the input.
method shift(value, direction, newBit)
Shifts a binary number in the specified direction by one position.
Namespace types: array
Parameters:
value (array)
direction (int) : The direction of the shift operation.
newBit (int) : The bit to be inserted into the unoccupied slot.
Returns: A tuple of the shifted binary number and the serial output of the shift operation.
method multiShift(value, direction, newBits)
Shifts a binary number in the specified direction by multiple positions.
Namespace types: array
Parameters:
value (array)
direction (int) : The direction of the shift operation.
newBits (array)
Returns: A tuple of the shifted binary number and the serial output of the shift operation.
method crclrShift(value, direction, count)
Circularly shifts a binary number in the specified direction by multiple positions. Each ejected bit is inserted from the opposite side.
Namespace types: array
Parameters:
value (array)
direction (int) : The direction of the shift operation.
count (int) : The number of positions to be shifted by.
Returns: The shifted binary number.
method arithmeticShift(value, direction, count)
Performs arithmetic shift on a binary number in the specified direction by multiple positions. Every new bit is 0 if the shift is leftward, otherwise, it equals the sign bit.
Namespace types: array
Parameters:
value (array)
direction (int) : The direction of the shift operation.
count (int) : The number of positions to be shifted by.
Returns: The shifted binary number.
method add(a, b, carry)
Performs arithmetic addition on two binary numbers.
Namespace types: array
Parameters:
a (array) : First binary number.
b (array) : Second binary number.
carry (int) : The input carry of the operation.
Returns: The result of the arithmetic addition of the inputs.
method sub(a, b, carry)
Performs arithmetic subtraction on two binary numbers.
Namespace types: array
Parameters:
a (array) : First binary number.
b (array) : Second binary number. The number to be subtracted.
carry (int) : The input carry of the operation.
Returns: The result of the arithmetic subtraction of the input b from the input a.
Binary_Blast_v3This is new version for binary blast! Expiry 2 candles after signal candle closes wait for signal candle to close.
Black-Scholes Options Pricing ModelThis is an updated version of my "Black-Scholes Model and Greeks for European Options" indicator, that i previously published. I decided to make this updated version open-source, so people can tweak and improve it.
The Black-Scholes model is a mathematical model used for pricing options. From this model you can derive the theoretical fair value of an options contract. Additionally, you can derive various risk parameters called Greeks. This indicator includes three types of data: Theoretical Option Price (blue), the Greeks (green), and implied volatility (red); their values are presented in that order.
1) Theoretical Option Price:
This first value gives only the theoretical fair value of an option with a given strike based on the Black-Scholes framework. Remember this is a model and does not reflect actual option prices, just the theoretical price based on the Black-Scholes model and its parameters and assumptions.
2)Greeks (all of the Greeks included in this indicator are listed below):
a)Delta is the rate of change of the theoretical option price with respect to the change in the underlying's price. This can also be used to approximate the probability of your option expiring in the money. For example, if you have an option with a delta of 0.62, then it has about a 62% chance of expiring in-the-money. This number runs from 0 to 1 for Calls, and 0 to -1 for Puts.
b)Gamma is the rate of change of delta with respect to the change in the underlying's price.
c)Theta, aka "time decay", is the rate of change in the theoretical option price with respect to the change in time. Theta tells you how much an option will lose its value day by day.
d) Vega is the rate of change in the theoretical option price with respect to change in implied volatility .
e)Rho is the rate of change in the theoretical option price with respect to change in the risk-free rate. Rho is rarely used because it is the parameter that options are least effected by, it is more useful for longer term options, like LEAPs.
f)Vanna is the sensitivity of delta to changes in implied volatility . Vanna is useful for checking the effectiveness of delta-hedged and vega-hedged portfolios.
g)Charm, aka "delta decay", is the instantaneous rate of change of delta over time. Charm is useful for monitoring delta-hedged positions.
h)Vomma measures the sensitivity of vega to changes in implied volatility .
i)Veta measures the rate of change in vega with respect to time.
j)Vera measures the rate of change of rho with respect to implied volatility .
k)Speed measures the rate of change in gamma with respect to changes in the underlying's price. Speed can be used when evaluating delta-hedged and gamma hedged portfolios.
l)Zomma measures the rate of change in gamma with respect to changes in implied volatility . Zomma can be used to evaluate the effectiveness of a gamma-hedged portfolio.
m)Color, aka "gamma decay", measures the rate of change of gamma over time. This can also be used to evaluate the effectiveness of a gamma-hedged portfolio.
n)Ultima measures the rate of change in vomma with respect to implied volatility .
o)Probability of Touch, is not a Greek, but a metric that I included, which tells you the probability of price touching your strike price before expiry.
3) Implied Volatility:
This is the market's forecast of future volatility . Implied volatility is directionless, it cannot be used to forecast future direction. All it tells you is the forecast for future volatility.
How to use this indicator:
1st. Input the strike price of your option. If you input a strike that is more than 3 standard deviations away from the current price, the model will return a value of n/a.
2nd. Input the current risk-free rate.(Including this is optional, because the risk-free rate is so small, you can just leave this number at zero.)
3rd. Input the time until expiry. You can enter this in terms of days, hours, and minutes.
4th.Input the chart time frame you are using in terms of minutes. For example if you're using the 1min time frame input 1, 4 hr time frame input 480, daily time frame input 1440, etc.
5th. Pick what style of option you want data for, European Vanilla or Binary.
6th. Pick what type of option you want data for, Long Call or Long Put.
7th . Finally, pick which Greek you want displayed from the drop-down list.
*Remember the Option price presented, and the Greeks presented, are theoretical in nature, and not based upon actual option prices. Also, remember the Black-Scholes model is just a model based upon various parameters, it is not an actual representation of reality, only a theoretical one.
*Note 1. If you choose binary, only data for Long Binary Calls will be presented. All of the Greeks for Long Binary Calls are available, except for rho and vera because they are negligible.
*Note 2. Unlike vanilla european options, the delta of a binary option cannot be used to approximate the probability of the option expiring in-the-money. For binary options, if you want to approximate the probability of the binary option expiring in-the-money, use the price. The price of a binary option can be used to approximate its probability of expiring in-the-money. So if a binary option has a price of $40, then it has approximately a 40% chance of expiring in-the-money.
*Note 3. As time goes on you will have to update the expiry, this model does not do that automatically. So for example, if you originally have an option with 30 days to expiry, tomorrow you would have to manually update that to 29 days, then the next day manually update the expiry to 28, and so on and so forth.
There are various formulas that you can use to calculate the Greeks. I specifically chose the formulations included in this indicator because the Greeks that it presents are the closest to actual options data. I compared the Greeks given by this indicator to brokerage option data on a variety of asset classes from equity index future options to FX options and more. Because the indicator does not use actual option prices, its Greeks do not match the brokerage data exactly, but are close enough.
I may try to make future updates that include data for Long Binary Puts, American Options, Asian Options, etc.
Stochastic RSI StrategyThis is an an adaption of Binary option 1 minute by Maxim Chechel to a strategy. I have had success with this on FCT/BTC on Poloniex.
BB and RSI Indicator Alert v0.3 by JustUncleLI have just recently revised this indicator alert for public release. This is for the 60sec Bollinger Band break Binary Option traders.
This indicator alert is a variation of one found in a well known Broker's marketing videos. It uses Bollinger bands, RSI and moving averages. Included is a pre-warning alert condition. The strategy and settings are designed for 1min charts and Binary Options, but it could work for up to 15 min charts.
The default settings are BB(14,2) and RSI(11) with 75/25 Levels boundaries. To be a valid trade the RSI needs to be within 75/25 channel. The optional Market direction filter is enabled by default and is calculated by two EMA (200 and 50):
When 200ema rising and 50ema above 200ema then market going up.
When 200ema falling and 50ema below 200ema then market going down.
A potential Bollinger Break reversal trades identified by shapes: The purple diamond is the pre-warning purple alert and the green and red pointers with the PUT/CALL labels are the trade alerts. Make Binary Option trade in specified direction 60sec (or can also use 120sec trade without Martingale).
* Notes and Hints *
The original videos specified a Martingale money management strategy, be careful using this management. When I use Martingale I recommend go to 3 levels: 10, 25, 65 if no win at 65 stop trading this alert and start next alert back at 10, you should recovery loss by future wins given you are able to get a reasonable ITM rate with this strategy. Alternatively instead of using Martingale use 120sec Binary Option trade.
Be wary of break alerts on a steep Bollinger, they tend to keep running away for awhile, especially if steep on both sides of Bollinger channel.
As with most of this style of indicator the alert conditions will redraw until the candle is closed. For me this is okay, as it is an Alert is only to a potential trade and final decision to trade is made by me.
You need to practise this and be aware of market news, sessions boundaries, slow trading periods etc. Plan your periods of when you should trade, I prefer Asian session before lunch and London sessions.
BO_EXPIRY_VDUB_v1Set Background to custom Trading sessions & set custom Binary Options expiry times.
BO ADX Binary Option strategy based on ADX/DI cross, Put or Call at the beginning of the next candle, expire 5m for 5m candle.
Binary Options Pro Helper By Himanshu AgnihotryThe Binary Options Pro Helper is a custom indicator designed specifically for one-minute binary options trading. This tool combines technical analysis methods like moving averages, RSI, Bollinger Bands, and pattern recognition to provide precise Buy and Sell signals. It also includes a time-based filter to ensure trades are executed only during optimal market conditions.
Features:
Moving Averages (EMA):
Uses short-term (7-period) and long-term (21-period) EMA crossovers for trend detection.
RSI-Based Signals:
Identifies overbought/oversold conditions for entry points.
Bollinger Bands:
Highlights market volatility and potential reversal zones.
Chart Pattern Recognition:
Detects double tops (sell signals) and double bottoms (buy signals).
Time-Based Filter:
Trades only within specified hours (e.g., 9:30 AM to 11:30 AM) to avoid unnecessary noise.
Visual Signals:
Plots buy and sell markers directly on the chart for ease of use.
How to Use:
Setup:
Add this script to your TradingView chart and select a 1-minute timeframe.
Signal Interpretation:
Buy Signal: Triggered when EMA crossover occurs, RSI is oversold (<30), and a double bottom pattern is detected.
Sell Signal: Triggered when EMA crossover occurs, RSI is overbought (>70), and a double top pattern is detected.
Timing:
Ensure trades are executed only during the specified time window for better accuracy.
Best Practices:
Use this indicator alongside fundamental analysis or market sentiment.
Test it thoroughly with historical data (backtesting) and in a demo account before live trading.
Adjust parameters (e.g., EMA periods, RSI thresholds) based on your trading style.
Binary Options Arrows (example) [TheMightyChicken]// Made by TheMightyChicken
// An example of binary options signals with results - colored background of expiry candle. (green = WIN, red = LOSE)
// Arrows set for bearish and bullish harami candlestick patterns. (credits to repo32)
// Expiration set to 1 candle by default.
study(shorttitle="BOA", title="Binary Options Arrows (example) ", overlay=true)
// Inputs
E = input(1, minval=1, title="Expiry")
// Calculations
Bearish_harami = (close > open and open > close and open <= close and open <= close and open - close < close - open and open < open)
Bullish_harami = (open > close and close > open and close <= open and close <= open and close - open < open - close and open > open)
// Setups
CALL = Bullish_harami == 1
PUT = Bearish_harami == 1
ARROW = CALL - PUT
plotarrow(ARROW, colorup=lime, colordown=red, transp=0, minheight=10, maxheight=10)
// Results
WIN = (CALL ==1 and close close)
LOSE = (CALL ==1 and close >=close) or (PUT ==1 and close <=close)
bgcolor(WIN==1 ? lime : LOSE==1 ? red : na, transp=70)
Binary Options Arrows (example) [TheMightyChicken]// Made by TheMightyChicken
// An example of binary options signals with results - colored background of expiry candle. (green = WIN, red = LOSE)
// Arrows set for bearish and bullish harami candlestick patterns. (credits to repo32)
// Expiration set to 1 candle by default.
study(shorttitle="BOA", title="Binary Options Arrows (example) ", overlay=true)
// Inputs
E = input(1, minval=1, title="Expiry")
// Calculations
Bearish_harami = (close > open and open > close and open <= close and open <= close and open - close < close - open and open < open)
Bullish_harami = (open > close and close > open and close <= open and close <= open and close - open < open - close and open > open)
// Setups
CALL = Bullish_harami == 1
PUT = Bearish_harami == 1
ARROW = CALL - PUT
plotarrow(ARROW, colorup=lime, colordown=red, transp=0, minheight=10, maxheight=10)
// Results
WIN = (CALL ==1 and close close)
LOSE = (CALL ==1 and close >=close) or (PUT ==1 and close <=close)
bgcolor(WIN==1 ? lime : LOSE==1 ? red : na, transp=70)
Binary Options Arrows (example) [TheMightyChicken]// Made by TheMightyChicken
// An example of binary options signals with results - colored background of expiry candle. (green = WIN, red = LOSE)
// Arrows set for bearish and bullish harami candlestick patterns. (credits to repo32)
// Expiration set to 1 candle by default.
study(shorttitle="BOA", title="Binary Options Arrows (example) ", overlay=true)
// Inputs
E = input(1, minval=1, title="Expiry")
// Calculations
Bearish_harami = (close > open and open > close and open <= close and open <= close and open - close < close - open and open < open)
Bullish_harami = (open > close and close > open and close <= open and close <= open and close - open < open - close and open > open)
// Setups
CALL = Bullish_harami == 1
PUT = Bearish_harami == 1
ARROW = CALL - PUT
plotarrow(ARROW, colorup=lime, colordown=red, transp=0, minheight=10, maxheight=10)
// Results
WIN = (CALL ==1 and close close)
LOSE = (CALL ==1 and close >=close) or (PUT ==1 and close <=close)
bgcolor(WIN==1 ? lime : LOSE==1 ? red : na, transp=70)
Binary Options Arrows (example) [TheMightyChicken]// Made by TheMightyChicken
// An example of binary options signals with results - colored background of expiry candle. (green = WIN, red = LOSE)
// Arrows set for bearish and bullish harami candlestick patterns. (credits to repo32)
// Expiration set to 1 candle by default.
study(shorttitle="BOA", title="Binary Options Arrows (example) ", overlay=true)
// Inputs
E = input(1, minval=1, title="Expiry")
// Calculations
Bearish_harami = (close > open and open > close and open <= close and open <= close and open - close < close - open and open < open)
Bullish_harami = (open > close and close > open and close <= open and close <= open and close - open < open - close and open > open)
// Setups
CALL = Bullish_harami == 1
PUT = Bearish_harami == 1
ARROW = CALL - PUT
plotarrow(ARROW, colorup=lime, colordown=red, transp=0, minheight=10, maxheight=10)
// Results
WIN = (CALL ==1 and close close)
LOSE = (CALL ==1 and close >=close) or (PUT ==1 and close <=close)
bgcolor(WIN==1 ? lime : LOSE==1 ? red : na, transp=70)
Binary Options Arrows (example) [TheMightyChicken]// Made by TheMightyChicken
// An example of binary options signals with results - colored background of expiry candle. (green = WIN, red = LOSE)
// Arrows set for bearish and bullish harami candlestick patterns. (credits to repo32)
// Expiration set to 1 candle by default.
study(shorttitle="BOA", title="Binary Options Arrows (example) ", overlay=true)
// Inputs
E = input(1, minval=1, title="Expiry")
// Calculations
Bearish_harami = (close > open and open > close and open <= close and open <= close and open - close < close - open and open < open)
Bullish_harami = (open > close and close > open and close <= open and close <= open and close - open < open - close and open > open)
// Setups
CALL = Bullish_harami == 1
PUT = Bearish_harami == 1
ARROW = CALL - PUT
plotarrow(ARROW, colorup=lime, colordown=red, transp=0, minheight=10, maxheight=10)
// Results
WIN = (CALL ==1 and close close)
LOSE = (CALL ==1 and close >=close) or (PUT ==1 and close <=close)
bgcolor(WIN==1 ? lime : LOSE==1 ? red : na, transp=70)
Binary Options Arrows (example) [TheMightyChicken]// Made by TheMightyChicken
// An example of binary options signals with results - colored background of expiry candle. (green = WIN, red = LOSE)
// Arrows set for bearish and bullish harami candlestick patterns. (credits to repo32)
// Expiration set to 1 candle by default.
study(shorttitle="BOA", title="Binary Options Arrows (example) ", overlay=true)
// Inputs
E = input(1, minval=1, title="Expiry")
// Calculations
Bearish_harami = (close > open and open > close and open <= close and open <= close and open - close < close - open and open < open)
Bullish_harami = (open > close and close > open and close <= open and close <= open and close - open < open - close and open > open)
// Setups
CALL = Bullish_harami == 1
PUT = Bearish_harami == 1
ARROW = CALL - PUT
plotarrow(ARROW, colorup=lime, colordown=red, transp=0, minheight=10, maxheight=10)
// Results
WIN = (CALL ==1 and close close)
LOSE = (CALL ==1 and close >=close) or (PUT ==1 and close <=close)
bgcolor(WIN==1 ? lime : LOSE==1 ? red : na, transp=70)
Binary Signals - MnetfGives binary options signals on NASDAQ.
Signals long or short positions on the current candle in the NAS100 index.
Is mostly perfect for long entry signals
Binary Option EMA/Stoch strategyThis is new Binary Option strategy more signals are generated 60% to 65% win ratio
Binary option trading by two previous barsThis simple script uses the idea of inertia of the market. if 2 previous candles have the same color, current meant to have that too. Following this signal is equal to buying a binary option on the start of the bar (week here). Signals are shown as arrows on the series. The color of the bar shows the outcome of the current option: yellow is success, black is failure. The same outcomes are at the bottom of the chart. The blue line is the total revenue of all options so far. Can be used as template for strategy simulation.
VDUB_BINARY_PRO_3NEW UPDATED BINARY PRO 3_V2 HERE -
VDUB_BINARY_PRO_3_V1 UPGRADE from binary PRO 1 / testing/ / experimental / Trade the curves / Highs -Lows / Band cross over/ Testing using heikin ashi
//Linear Regression Curve
//Centre band
//CM_Gann Swing HighLow V2/Modified////// MA input NOT WORKING ! - I broke it :s
//Vdub_Tetris_V2/ Modified
*Update Tip /Optional
Set the centre band to '34 to run centre line
UP DOWN Indicator 1Title: UP DOWN Indicator based on ADX Strategy - Accurate Signal Provider with Enhanced Success Potential
Description:
The Martingale ADX Indicator is a groundbreaking tool meticulously crafted to offer traders unparalleled precision in signal generation and risk management. Leveraging the power of the Average Directional Index (ADX), this indicator provides 100% non-repaint signals on the current candle, guiding traders to opportune and prepare for trade entry with remarkable accuracy.
With a focus on empowering traders across various financial markets, including Forex and Binary Options, this ADX Strategy-1 Indicator introduces a unique approach to trading dynamics. By seamlessly integrating the renowned Martingale Step-1 risk management strategy, this indicator not only minimizes losses but also enhances the potential for success, even in volatile market conditions.
Key Features:
Non-Repaint Signals: The Martingale ADX Indicator stands as a testament to reliability, offering 100% non-repaint signals. Traders can trust in the consistency and not removing losing Signals which is very important to trust the previous generated signals also, eliminating uncertainties and facilitating confident decision-making.
ADX-Based Precision: Built upon the robust framework of the Average Directional Index (ADX), this indicator delivers precise signals tailored to prevailing market trends and volatility levels. Whether trading in longer timeframes or engaging in Binary Options, traders can rely on the Martingale Step-1 ADX Indicator for superior insights.
Next Candle Trading: Seamlessly integrated into trading strategies, signals from the Martingale ADX Indicator prompt action on the subsequent candle. This real-time approach ensures traders stay ahead of market movements, seizing opportunities as they emerge. Giving Signals Once Candle ahead makes traders to prepare early and decide whether they want to enter the trade on presented Signal or not as per their own experience too. If the trading candle is loss then the very next candle shall be used for taking Martingale Sep-1 to enhance the Accuracy.
Enhanced Success Potential: With Martingale Step-1 risk management, this ADX Indicator offers more than just signal accuracy – it presents the potential for heightened success rates. Through strategic position sizing and leveraging experience and Price Action insights, traders can elevate overall accuracy to levels ranging from 80% to 90%.
Conclusion:
The UP DOWN Strategy-1 Indicator represents a paradigm shift in trading technology, combining precision signal generation with advanced risk management strategies. Whether you're a seasoned trader or just starting your journey, this indicator empowers you to navigate financial markets with confidence and achieve consistent results.
Experience the difference with the Martingale ADX Indicator – where reliability meets profitability, and success becomes attainable with every trade.
Trade wisely, and may your ventures be marked by prosperity and fulfillment.
Pardon for any descriptive language grammatical error and comment about this indicator and to get my other strategy as well. Happy trading !!
Risk Disclaimer:
Trading in financial markets carries inherent risks and should be approached with caution. It is imperative to exercise sound judgment and trade only with funds that you can afford to lose. We strongly advise against using borrowed funds for trading purposes. First practice on demo for own learning then make decision wisely.
