[blackcat] L1 MartinGale Scalping Strategy**MartinGale Strategy** is a popular money management strategy used in trading. It is commonly applied in situations where the trader aims to recover from a losing streak by increasing the position size after each loss.
In the MartinGale Strategy, after a losing trade, the trader doubles the position size for the next trade. This is done in the hopes that a winning trade will eventually occur, which will not only recover the previous losses but also generate a profit.
The idea behind the MartinGale Strategy is to take advantage of the law of averages. By increasing the position size after each loss, the strategy assumes that eventually, a winning trade will occur, which will not only cover the previous losses but also generate a profit. This can be especially appealing for traders looking for a quick recovery from a losing streak.
However, it is important to note that the MartinGale Strategy carries significant risks. If a trader experiences a prolonged losing streak or lacks sufficient capital, the strategy can lead to substantial losses. The strategy's reliance on the assumption of a winning trade can be dangerous, as there is no guarantee that a winning trade will occur within a certain timeframe.
Traders considering implementing the MartinGale Strategy should carefully assess their risk tolerance and thoroughly understand the potential drawbacks. It is crucial to have a solid risk management plan in place to mitigate potential losses. Additionally, traders should be aware that the strategy may not be suitable for all market conditions and may require adjustments based on market volatility.
In summary, the MartinGale Strategy is a money management strategy that involves increasing the position size after each loss in an attempt to recover from a losing streak. While it can offer the potential for quick recovery, it also comes with significant risks that traders should carefully consider before implementing it in their trading approach.
The MartinGale Scalping Strategy is a trading strategy designed to generate profits through frequent trades. It utilizes a combination of moving average crossovers and crossunders to generate entry and exit signals. The strategy is implemented in TradingView's Pine Script language.
The strategy begins by defining input variables such as take profit and stop loss levels, as well as the trading mode (long, short, or bidirectional). It then sets a rule to allow only long entries if the trading mode is set to "Long".
The strategy logic is defined using SMA (Simple Moving Average) crossover and crossunder signals. It calculates a short-term SMA (SMA3) and a longer-term SMA (SMA8), and plots them on the chart. The crossoverSignal and crossunderSignal variables are used to track the occurrence of the crossover and crossunder events, while the crossoverState and crossunderState variables determine the state of the crossover and crossunder conditions.
The strategy execution is based on the current position size. If the position size is zero (no open positions), the strategy checks for crossover and crossunder events. If a crossover event occurs and the trading mode allows long entries, a long position is entered. The entry price, stop price, take profit price, and stop loss price are calculated based on the current close price and the SMA8 value. Similarly, if a crossunder event occurs and the trading mode allows short entries, a short position is entered with the corresponding price calculations.
If there is an existing long position and the current close price reaches either the take profit price or the stop loss price, and a crossunder event occurs, the long position is closed. The entry price, stop price, take profit price, and stop loss price are reset to zero.
Likewise, if there is an existing short position and the current close price reaches either the take profit price or the stop loss price, and a crossover event occurs, the short position is closed and the price variables are reset.
The strategy also plots entry and exit points on the chart using plotshape function. It displays a triangle pointing up for a buy entry, a triangle pointing down for a buy exit, a triangle pointing down for a sell entry, and a triangle pointing up for a sell exit.
Overall, the MartinGale Scalping Strategy aims to capture small profits by taking advantage of short-term moving average crossovers and crossunders. It incorporates risk management through take profit and stop loss levels, and allows for different trading modes to accommodate different market conditions.
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Long-Only Opening Range Breakout (ORB) with Pivot PointsIntraday Trading Strategy: Long-Only Opening Range Breakout (ORB) with Pivot Points
Background:
Opening Range Breakout (ORB) is a popular long-only trading strategy that capitalizes on the early morning volatility in financial markets. It's based on the idea that the initial price movements during the first few minutes or hours of the trading day can set the tone for the rest of the session. The strategy involves identifying a price range within which the asset trades during the opening period and then taking long positions when the price breaks out to the upside of this range.
Pivot Points are a widely used technical indicator in trading. They represent potential support and resistance levels based on the previous day's price action. Pivot points are calculated using the previous day's high, low, and close prices and can help traders identify key price levels for making trading decisions.
How to Use the Script:
Initialization: This script is written in Pine Script, a domain-specific language for trading strategies on the TradingView platform. To use this script, you need to have access to TradingView.
Apply the Script: You can do this by adding it to your favorites, then selecting the script in the indicators list under favorites or by searching for it by name under community scripts.
Customize Settings: The script allows you to customize various settings through the TradingView interface. These settings include:
Opening Session: You can set the time frame for the opening session.
Max Trades per Day: Specify the maximum number of long trades allowed per trading day.
Initial Stop Loss Type: Choose between using a percentage-based stop loss or the previous candles low for stop loss calculations.
Stop Loss Percentage: If you select the percentage-based stop loss, specify the percentage of the entry price for the stop loss.
Backtesting Start and End Time: Set the time frame for backtesting the strategy.
Strategy Signals:
The script will display pivot points in blue (R1, R2, R3, R4, R5) and half-pivot points in gray (R0.5, R1.5, R2.5, R3.5, R4.5) on your chart.
The green line represents the opening range.
The script generates long (buy) signals based on specific conditions:
---The open price is below the opening range high (h).
---The current high price is above the opening range high.
---Pivot point R1 is above the opening range high.
---It's a long-only strategy designed to capture upside breakouts.
---It also respects the maximum number of long trades per day.
The script manages long positions, calculates stop losses, and adjusts long positions according to the defined rules.
Trailing Stop Mechanism
The script incorporates a dynamic trailing stop mechanism designed to protect and maximize profits for long positions. Here's how it works:
1. Initialization:
The script allows you to choose between two types of initial stop loss:
---Percentage-based: This option sets the initial stop loss as a percentage of the entry price.
---Previous day's low: This option sets the initial stop loss at the previous day's low.
2. Setting the Initial Stop Loss (`sl_long0`):
The initial stop loss (`sl_long0`) is calculated based on the chosen method:
---If "Percentage" is selected, it calculates the stop loss as a percentage of the entry price.
---If "Previous Low" is selected, it sets the stop loss at the previous day's low.
3. Dynamic Trailing Stop (`trail_long`):
The script then monitors price movements and uses a dynamic trailing stop mechanism (`trail_long`) to adjust the stop loss level for long positions.
If the current high price rises above certain pivot point levels, the trailing stop is adjusted upwards to lock in profits.
The trailing stop levels are calculated based on pivot points (`r1`, `r2`, `r3`, etc.) and half-pivot points (`r0.5`, `r1.5`, `r2.5`, etc.).
The script checks if the high price surpasses these levels and, if so, updates the trailing stop accordingly.
This dynamic trailing stop allows traders to secure profits while giving the position room to potentially capture additional gains.
4. Final Stop Loss (`sl_long`):
The script calculates the final stop loss level (`sl_long`) based on the following logic:
---If no position is open (`pos == 0`), the stop loss is set to zero, indicating there is no active stop loss.
---If a position is open (`pos == 1`), the script calculates the maximum of the initial stop loss (`sl_long0`) and the dynamic trailing stop (`trail_long`).
---This ensures that the stop loss is always set to the more conservative of the two values to protect profits.
5. Plotting the Stop Loss:
The script plots the stop loss level on the chart using the `plot` function.
It will only display the stop loss level if there is an open position (`pos == 1`) and it's not a new trading day (`not newday`).
The stop loss level is shown in red on the chart.
By combining an initial stop loss with a dynamic trailing stop based on pivot points and half-pivot points, the script aims to provide a comprehensive risk management mechanism for long positions. This allows traders to lock in profits as the price moves in their favor while maintaining a safeguard against adverse price movements.
End of Day (EOD) Exit:
The script includes an "End of Day" (EOD) exit mechanism to automatically close any open positions at the end of the trading day. This feature is designed to manage and control positions when the trading day comes to a close. Here's how it works:
1. Initialization:
At the beginning of each trading day, the script identifies a new trading day using the `is_newbar('D')` condition.
When a new trading day begins, the `newday` variable becomes `true`, indicating the start of a new trading session.
2. Plotting the "End of Day" Signal:
The script includes a plot on the chart to visually represent the "End of Day" signal. This is done using the `plot` function.
The plot is labeled "DayEnd" and is displayed as a comment on the chart. It signifies the EOD point.
3. EOD Exit Condition:
When the script detects that a new trading day has started (`newday == true`), it triggers the EOD exit condition.
At this point, the script proceeds to close all open positions that may have been active during the trading day.
4. Closing Open Positions:
The `strategy.close_all` function is used to close all open positions when the EOD exit condition is met.
This function ensures that any remaining long positions are exited, regardless of their current profit or loss.
The function also includes an `alert_message`, which can be customized to send an alert or notification when positions are closed at EOD.
Purpose of EOD Exit
The "End of Day" exit mechanism serves several essential purposes in the trading strategy:
Risk Management: It helps manage risk by ensuring that positions are not left open overnight when markets can experience increased volatility.
Capital Preservation: Closing positions at EOD can help preserve trading capital by avoiding potential adverse overnight price movements.
Rule-Based Exit: The EOD exit is rule-based and automatic, ensuring that it is consistently applied without emotions or manual intervention.
Scalability: It allows the strategy to be applied to various markets and timeframes where EOD exits may be appropriate.
By incorporating an EOD exit mechanism, the script provides a comprehensive approach to managing positions, taking profits, and minimizing risk as each trading day concludes. This can be especially important in volatile markets like cryptocurrencies, where overnight price swings can be significant.
Backtesting: The script includes a backtesting feature that allows you to test the strategy's performance over historical data. Set the start and end times for backtesting to see how the long-only strategy would have performed in the past.
Trade Execution: If you choose to use this script for live trading, make sure you understand the risks involved. It's essential to set up proper risk management, including position sizing and stop loss orders.
Monitoring: Monitor the long-only strategy's performance over time and be prepared to make adjustments as market conditions change.
Disclaimer: Trading carries a risk of capital loss. This script is provided for educational purposes and as a starting point for your own long-only strategy development. Always do your own research and consider seeking advice from a qualified financial professional before making trading decisions.
Ruth Buy/Sell Signal for Day Trade and Swing TradeRuth is based on the most known technical indicators and designed for intraday traders. Ruth's aim is to find the best Buy/Sell points and decide to stop loss point with minimum Loss also Ruth tries to find multiple Profit points as TP1/TP2/TP3/TP4/TP5. Ruth was designed based on the heat map colors to be user-friendly and easy to read. While cold color preferred for Short positions, warm colors preferred for Long positions. The most important feature of Ruth is that after the signal is generated, the candles in which the profitable levels are painted one by one with their own special color codes, so that even the most inexperienced users can understand where they should close their positions.
There are two types of signal Ruth can produce for fast trade.
Short Signal: These signals means market tends to be move to down.
Short Stop Loss Point: This is the maximum risk for the position. Shown with single red line inside of the signal.
Short Entry Point: This is the best entry price for short side position. Shown with single baby blue line inside of the signal.
Short Take Profit (TP1): This level represents the profit level the signal is most likely to reach. Shown with single blue line inside of the signal.
Short Take Profit (TP2): This level represents the profit level with a high probability of the signal occurring. Shown with single light purple line inside of the signal.
Short Take Profit (TP3): This level represents the profit level with an intermediate probability of the signal occurring. Shown with single dark purple line inside of the signal.
Short Take Profit (TP4): This level represents the profit level with a low probability of the signal occurring. Shown with single light lilac line inside of the signal.
Short Take Profit (TP5): This level represents the profit level with a tight probability of the signal occurring. Shown with single dark lilac line inside of the signal.
Long Signal: These signals means market tends to be move to up.
Long Stop Loss Point: This is the maximum risk for the position. Shown with single red line inside of the signal.
Long Entry Point: This is the best entry price for short side position. Shown with single baby blue line inside of the signal.
Long Take Profit (TP1): This level represents the profit level the signal is most likely to reach. Shown with single greenish yellow line inside of the signal.
Long Take Profit (TP2): This level represents the profit level with a high probability of the signal occurring. Shown with yellow purple line inside of the signal.
Long Take Profit (TP3): This level represents the profit level with an intermediate probability of the signal occurring. Shown with single dark yellow line inside of the signal.
Long Take Profit (TP4): This level represents the profit level with a low probability of the signal occurring. Shown with single orange line inside of the signal.
Long Take Profit (TP5): This level represents the profit level with a tight probability of the signal occurring. Shown with single dark orange line inside of the signal.
Timeframe: In general best and fastest results occurred in shorter timeframes like 1 min / 5 mins / 15 mins but feel free to try higher timeframes.
Tips & Tricks:
1) Gray line drawn ot the graph represents Dema, we suggests you to go on Short Singals under gray line and go on Long Signals upper gray line.
2) Mostly, Signals easily reach their TP2 / TP3 levels and then generally there is reaction or take profit desire so commodity price turns the opposite direction. If in short time price won't turn to Signal direction close position.
3) Don't forget, every positions has own risks and profits but trade in main trend is crucial.
CCI+EMA Strategy with Percentage or ATR TP/SL [Alifer]This is a momentum strategy based on the Commodity Channel Index (CCI), with the aim of entering long trades in oversold conditions and short trades in overbought conditions.
Optionally, you can enable an Exponential Moving Average (EMA) to only allow trading in the direction of the larger trend. Please note that the strategy will not plot the EMA. If you want, for visual confirmation, you can add to the chart an Exponential Moving Average as a second indicator, with the same settings used in the strategy’s built-in EMA.
The strategy also allows you to set internal Stop Loss and Take Profit levels, with the option to choose between Percentage-based TP/SL or ATR-based TP/SL.
The strategy can be adapted to multiple assets and timeframes:
Pick an asset and a timeframe
Zoom back as far as possible to identify meaningful positive and negative peaks of the CCI
Set Overbought and Oversold at a rough average of the peaks you identified
Adjust TP/SL according to your risk management strategy
Like the strategy? Give it a boost!
Have any questions? Leave a comment or drop me a message.
CAUTIONARY WARNING
Please note that this is a complex trading strategy that involves several inputs and conditions. Before using it in live trading, it is highly recommended to thoroughly test it on historical data and use risk management techniques to safeguard your capital. After backtesting, it's also highly recommended to perform a first live test with a small amount. Additionally, it's essential to have a good understanding of the strategy's behavior and potential risks. Only risk what you can afford to lose .
USED INDICATORS
1 — COMMODITY CHANNEL INDEX (CCI)
The Commodity Channel Index (CCI) is a technical analysis indicator used to measure the momentum of an asset. It was developed by Donald Lambert and first published in Commodities magazine (now Futures) in 1980. Despite its name, the CCI can be used in any market and is not just for commodities. The CCI compares current price to average price over a specific time period. The indicator fluctuates above or below zero, moving into positive or negative territory. While most values, approximately 75%, fall between -100 and +100, about 25% of the values fall outside this range, indicating a lot of weakness or strength in the price movement.
The CCI was originally developed to spot long-term trend changes but has been adapted by traders for use on all markets or timeframes. Trading with multiple timeframes provides more buy or sell signals for active traders. Traders often use the CCI on the longer-term chart to establish the dominant trend and on the shorter-term chart to isolate pullbacks and generate trade signals.
CCI is calculated with the following formula:
(Typical Price - Simple Moving Average) / (0.015 x Mean Deviation)
Some trading strategies based on CCI can produce multiple false signals or losing trades when conditions turn choppy. Implementing a stop-loss strategy can help cap risk, and testing the CCI strategy for profitability on your market and timeframe is a worthy first step before initiating trades.
2 — AVERAGE TRUE RANGE (ATR)
The Average True Range (ATR) is a technical analysis indicator that measures market volatility by calculating the average range of price movements in a financial asset over a specific period of time. The ATR was developed by J. Welles Wilder Jr. and introduced in his book “New Concepts in Technical Trading Systems” in 1978.
The ATR is calculated by taking the average of the true range over a specified period. The true range is the greatest of the following:
The difference between the current high and the current low.
The difference between the previous close and the current high.
The difference between the previous close and the current low.
The ATR can be used to set stop-loss orders. One way to use ATR for stop-loss orders is to multiply the ATR by a factor (such as 2 or 3) and subtract it from the entry price for long positions or add it to the entry price for short positions. This can help traders set stop-loss orders that are more adaptive to market volatility.
3 — EXPONENTIAL MOVING AVERAGE (EMA)
The Exponential Moving Average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points.
The EMA is calculated by taking the average of the true range over a specified period. The true range is the greatest of the following:
The difference between the current high and the current low.
The difference between the previous close and the current high.
The difference between the previous close and the current low.
The EMA can be used by traders to produce buy and sell signals based on crossovers and divergences from the historical average. Traders often use several different EMA lengths, such as 10-day, 50-day, and 200-day moving averages.
The formula for calculating EMA is as follows:
Compute the Simple Moving Average (SMA).
Calculate the multiplier for weighting the EMA.
Calculate the current EMA using the following formula:
EMA = Closing price x multiplier + EMA (previous day) x (1-multiplier)
STRATEGY EXPLANATION
1 — INPUTS AND PARAMETERS
The strategy uses the Commodity Channel Index (CCI) with additional options for an Exponential Moving Average (EMA), Take Profit (TP) and Stop Loss (SL).
length : The period length for the CCI calculation.
overbought : The overbought level for the CCI. When CCI crosses above this level, it may signal a potential short entry.
oversold : The oversold level for the CCI. When CCI crosses below this level, it may signal a potential long entry.
useEMA : A boolean input to enable or disable the use of Exponential Moving Average (EMA) as a filter for long and short entries.
emaLength : The period length for the EMA if it is used.
2 — CCI CALCULATION
The CCI indicator is calculated using the following formula:
(src - ma) / (0.015 * ta.dev(src, length))
src is the typical price (average of high, low, and close) and ma is the Simple Moving Average (SMA) of src over the specified length.
3 — EMA CALCULATION
If the useEMA option is enabled, an EMA is calculated with the given emaLength .
4 — TAKE PROFIT AND STOP LOSS METHODS
The strategy offers two methods for TP and SL calculations: percentage-based and ATR-based.
tpSlMethod_percentage : A boolean input to choose the percentage-based method.
tpSlMethod_atr : A boolean input to choose the ATR-based method.
5 — PERCENTAGE-BASED TP AND SL
If tpSlMethod_percentage is chosen, the strategy calculates the TP and SL levels based on a percentage of the average entry price.
tp_percentage : The percentage value for Take Profit.
sl_percentage : The percentage value for Stop Loss.
6 — ATR-BASED TP AND SL
If tpSlMethod_atr is chosen, the strategy calculates the TP and SL levels based on Average True Range (ATR).
atrLength : The period length for the ATR calculation.
atrMultiplier : A multiplier applied to the ATR to set the SL level.
riskRewardRatio : The risk-reward ratio used to calculate the TP level.
7 — ENTRY CONDITIONS
The strategy defines two conditions for entering long and short positions based on CCI and, optionally, EMA.
Long Entry: CCI crosses below the oversold level, and if useEMA is enabled, the closing price should be above the EMA.
Short Entry: CCI crosses above the overbought level, and if useEMA is enabled, the closing price should be below the EMA.
8 — TP AND SL LEVELS
The strategy calculates the TP and SL levels based on the chosen method and updates them dynamically.
For the percentage-based method, the TP and SL levels are calculated as a percentage of the average entry price.
For the ATR-based method, the TP and SL levels are calculated using the ATR value and the specified multipliers.
9 — EXIT CONDITIONS
The strategy defines exit conditions for both long and short positions.
If there is a long position, it will be closed either at TP or SL levels based on the chosen method.
If there is a short position, it will be closed either at TP or SL levels based on the chosen method.
Additionally, positions will be closed if CCI crosses back above oversold in long positions or below overbought in short positions.
10 — PLOTTING
The script plots the CCI line along with overbought and oversold levels as horizontal lines.
The CCI line is colored red when above the overbought level, green when below the oversold level, and white otherwise.
The shaded region between the overbought and oversold levels is plotted as well.
Bullish and Bearish Candlestick Patterns StrategyThe strategy is a combination of candlestick pattern analysis and Fibonacci retracement levels to identify potential buy and sell signals in the market. Here's how the strategy works and how you can trade accordingly:
Candlestick Pattern Analysis:
The strategy looks for specific bullish and bearish candlestick patterns to identify potential trend reversals or continuations. The bullish patterns include:
Bullish Engulfing: This pattern occurs when a bullish candle fully engulfs the previous bearish candle.
Hammer: It is a single candlestick pattern with a small body and a long lower wick, indicating a potential bullish reversal.
Morning Star: This pattern consists of three candles, with the middle one being a small-bodied candle that gaps down and the other two being bullish candles.
The bearish patterns include:
Bearish Engulfing: Similar to the bullish engulfing, but this time, a bearish candle fully engulfs the previous bullish candle.
Shooting Star: A single candlestick pattern with a small body and a long upper wick, suggesting a potential bearish reversal.
Evening Star: This pattern is the opposite of the morning star, with a small-bodied candle that gaps up between two bearish candles.
Fibonacci Retracement Levels:
The strategy uses Fibonacci retracement levels to determine potential support and resistance levels in the market. The main level considered in this strategy is the Fibonacci 0.5 level, which is the midpoint of the previous swing move.
Trading Accordingly:
To trade using this strategy, follow these steps:
a. Observe the Chart: Apply the indicator to your preferred chart, and observe the candlestick patterns and the plotted support, resistance, and Fibonacci 0.5 levels.
b. Buy Signal: A buy signal is generated when any of the bullish candlestick patterns (Bullish Engulfing, Hammer, Morning Star) occur, and the low price of the current candle is above or equal to the Fibonacci 0.5 level. This suggests a potential bullish reversal or continuation of an existing uptrend.
c. Sell Signal: A sell signal is generated when any of the bearish candlestick patterns (Bearish Engulfing, Shooting Star, Evening Star) occur, and the high price of the current candle is below or equal to the Fibonacci 0.5 level. This indicates a potential bearish reversal or continuation of an existing downtrend.
d. Risk Management: Place stop-loss orders to protect your position in case the market moves against your trade. Consider setting the stop-loss below the recent swing low for buy trades and above the recent swing high for sell trades.
e. Take Profit: Set a target for taking profits based on your risk-reward ratio. You can use the recent swing high for buy trades as a potential target and the recent swing low for sell trades.
f. Filter Signals: Keep in mind that not all signals will result in profitable trades. It's essential to filter signals with other technical analysis tools and consider the overall market context.
Remember that no trading strategy guarantees profits, and trading always carries inherent risks. It's crucial to practice proper risk management, use appropriate position sizing, and test the strategy thoroughly in a demo environment before applying it to live trading. Additionally, consider combining this strategy with other indicators or analysis methods to make more informed .
Moving Average With Risk:Reward**Title: A Detailed Guide to Using the Moving Average With Risk:Reward Indicator**
The dynamic world of financial markets offers a myriad of opportunities for market participants to make profitable trades. However, to unlock these opportunities, traders require reliable tools to guide their decisions, tools such as technical indicators. One such indicator is the 'Moving Average With Risk:Reward' Indicator, a versatile tool that combines the simple moving average (SMA), exponential moving average (EMA), Average True Range (ATR) indicator, and automated entry, stop-loss, and take-profit markers to provide a comprehensive analysis of market trends. This article aims to detail the use and interpretation of this indicator.
**Understanding the Building Blocks**
1. **Moving Averages (SMA & EMA):**
Moving averages are arguably some of the most common tools used by traders worldwide. They help smooth out price data to form a trend following indicator. Our custom indicator utilizes both a 21-period SMA, which averages the closing prices of the past 21 periods, and a 9-period EMA, which gives more weight to recent prices. The difference in sensitivity between these two moving averages forms the basis of our trade signals.
2. **Average True Range (ATR):**
The ATR is an essential component of our indicator. It measures market volatility by decomposing the entire range of an asset price for that period. It plays a critical role in determining the stop loss and take profit levels in our indicator, as detailed later.
**How the Indicator Works**
Our custom indicator works by generating buy or sell signals based on crossover and crossunder events between the SMA and EMA. A crossover occurs when the EMA (more sensitive to recent prices) crosses above the SMA, indicating upward momentum and hence triggering a buy signal. Conversely, a crossunder, where the EMA moves below the SMA, indicates increasing downward momentum and generates a sell signal.
Upon the generation of a signal, the indicator draws lines on the chart to represent the entry point, stop loss, and take profit levels. The user has the freedom to adjust the color of these lines for visual clarity. The script will also delete previous lines whenever a new signal is generated to avoid clutter and confusion.
**Determining the Stop Loss and Take Profit Levels**
Our custom indicator uses the ATR and a predetermined multiplier to calculate stop loss and take profit levels, thus incorporating market volatility into these critical decisions. The user can input their preferred multiplier for both stop loss and take profit.
Stop Loss (SL): SL is set at a level that is the ATR value multiplied by the stop-loss multiplier subtracted from (for a long position) or added to (for a short position) the closing price.
Take Profit (TP): Conversely, TP is set at a level that is the ATR value multiplied by the take-profit multiplier added to (for a long position) or subtracted from (for a short position) the closing price.
These SL and TP levels get plotted as horizontal lines on the chart, extending to the right. Labels are also placed to easily identify these levels.
**Making the Most of the Indicator**
A significant advantage of this indicator lies in its simplicity and clarity. Traders can clearly see the entry point, stop loss, and take profit levels on the chart. They can modify these levels based on their risk tolerance or trading strategy.
The combination of SMA and EMA offers the best of both worlds, with SMA providing a lagging, stable trend indication and EMA offering a more responsive indication to recent price changes. The indicator's use of ATR for SL and TP settings also ensures that these levels adapt to changing market volatility.
It is essential to remember that while this indicator can be an invaluable tool in a trader's arsenal, it is not infallible. Markets can often behave unpredictably, and even the most robust and reliable indicators can occasionally generate false signals. Therefore, traders should always employ sound money management strategies and use this indicator in conjunction with other technical analysis tools and fundamental analysis to confirm signals and make informed trading decisions.
In conclusion, the Moving Average With Risk:Reward indicator provides a comprehensive and versatile tool that can significantly enhance trading strategies. Its integration of trend-following moving averages, volatility-adjusted stop loss and take profit levels, and clear chart visualizations make it a potent tool in the financial markets. By fully understanding how to interpret and utilize this indicator, traders can navigate the markets with increased confidence and precision.
Net Unrealized Profit/Loss (NUPL)Indicator Overview
This indicator is derived from Market Value and Realized Value, which can be defined as:
Market Value: The current price of Bitcoin multiplied by the number of coins in circulation. This is like market cap in traditional markets i.e. share price multiplied by number of shares.
Realized Value: Rather than taking the current price of Bitcoin, Realized Value takes the price of each Bitcoin when it was last moved i.e. the last time it was sent from one wallet to another wallet. It then adds up all those individual prices and takes an average of them. It then multiplies that average price by the total number of coins in circulation.
By subtracting Realized Value from Market Value we calculate Unrealized Profit/Loss.
Unrealized Profit/Loss estimates the total paper profits/losses in Bitcoin held by investors. This is interesting to know but of greater value is identifying how this changes relatively over time.
To do this we can divide Unrealized Profit/Loss by Market Cap. This creates Net Unrealized Profit/Loss, sometimes referred to as NUPL, which is very useful to track investor sentiment over time for Bitcoin.
Relative Unrealised Profit/Loss is another name used for this analysis.
How To View The Chart
The key principle of this tool is in the ratio between market cap and Bitcoin investors taking profit.
When market cap rises much faster than profit taking we see that the market is overheating, one could say due to investor greed (red band). For the strategic investor such times have historically been favourable to take profit.
We can break down different percentages of Bitcoin Relative Unrealized Profit/Loss to determine what stage of the market we are in. This can be advantageous for the long term strategic investor.
Created By
Tamas Blummer, Tuur Demeester and Michiel Lescrauwaet
Reinforced RSI - The Quant Science This strategy was designed and written with the goal of showing and motivating the community how to integrate our 'Probabilities' module with their own script.
We have recreated one of the simplest strategies used by many traders. The strategy only trades long and uses the overbought and oversold levels on the RSI indicator.
We added stop losses and take profits to offer more dynamism to the strategy. Then the 'Probabilities' module was integrated to create a probabilistic reinforcement on each trade.
Specifically, each trade is executed, only if the past probabilities of making a profitable trade is greater than or equal to 51%. This greatly increased the performance of the strategy by avoiding possible bad trades.
The backtesting was calculated on the NASDAQ:TSLA , on 15 minutes timeframe.
The strategy works on Tesla using the following parameters:
1. Lenght: 13
2. Oversold: 40
3. Overbought: 70
4. Lookback: 50
5. Take profit: 3%
6. Stop loss: 3%
Time period: January 2021 to date.
Our Probabilities Module, used in the strategy example:
[Sniper] SuperTrend + SSL Hybrid + QQE MODHi. I’m DuDu95.
**********************************************************************************
This is the script for the series called "Sniper".
*** What is "Sniper" Series? ***
"Sniper" series is the project that I’m going to start.
In "Sniper" Series, I’m going to "snipe and shoot" the youtuber’s strategy: to find out whether the youtuber’s video about strategy is "true or false".
Specifically, I’m going to do the things below.
1. Implement "Youtuber’s strategy" into pinescript code.
2. Then I will "backtest" and prove whether "the strategy really works" in the specific ticker (e.g. BTCUSDT) for the specific timeframe (e.g. 5m).
3. Based on the backtest result, I will rate and judge whether the youtube video is "true" or "false", and then rate the validity, reliability, robustness, of the strategy. (like a lie detector)
*** What is the purpose of this series? ***
1. To notify whether the strategy really works for the people who watched the youtube video.
2. To find and build my own scalping / day trading strategy that really works.
**********************************************************************************
*** Strategy Description ***
This strategy is from " QQE MOD + supertrend + ssl hybrid" by korean youtuber "코인투데이".
"코인투데이" claimed that this strategy will make you a lot of money in any crypto ticker in 15 minute timeframe.
### Entry Logic
1. Long Entry Logic
- Super Trend Short -> Long
- close > SSL Hybrid baseline upper k
- QQE MOD should be blue
2. Short Entry Logic
- Super Trend Long -> Short
- close < SSL Hybrid baseline lower k
- QQE MOD should be red
### Exit Logic
1. Long Exit Logic
- Super Trend Long -> Short
2. Short Entry Logic
- Super Trend Short -> Long
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
3. SuperTrend and SSL Hybrid Baseline is by default drawn on the chart.
4. If you check EMA filter, EMA would be drawn on the chart.
5. Should add QQE MOD indicator manually if you want to see QQE MOD.
**********************************************************************************
*** Rating: True or False?
### Rating:
→ 3.5 / 5 (0 = Trash, 1 = Bad, 2 = Not Good, 3 = Good, 4 = Great, 5 = Excellent)
### True or False?
→ True but not a 'perfect true'.
→ It did made a small profit on 15 minute timeframe. But it made a profit so it's true.
→ It worked well in longer timeframe. I think super trend works well so I will work on this further.
### Better Option?
→ Use this for Day trading or Swing Trading, not for Scalping. (Bigger Timeframe)
→ Although the result was not good at 15 minute timeframe, it was quite profitable in 1h, 2h, 4h, 8h, 1d timeframe.
→ Crypto like BTC, ETH was ok.
→ The result was better when I use EMA filter.
### Robust?
→ Yes. Although result was super bad in 5m timeframe, backtest result was "consistently" profitable on longer timeframe (when timeframe was bigger than 15m, it was profitable).
→ Also, MDD was good under risk management option on.
**********************************************************************************
*** Conclusion?
→ I recommend you not to use this on short timeframe as the youtuber first mentioned.
→ In my opinion, I can use on longer timeframe like 2h or bigger with EMA filter, stoploss and risk management.
[Sniper] SSL Hybrid + QQE MOD + Waddah Attar StrategyHi. I’m DuDu95.
**********************************************************************************
This is the script for the series called "Sniper".
*** What is "Sniper" Series? ***
"Sniper" series is the project that I’m going to start.
In "Sniper" Series, I’m going to "snipe and shoot" the youtuber’s strategy: to find out whether the youtuber’s video about strategy is "true or false".
Specifically, I’m going to do the things below.
1. Implement "Youtuber’s strategy" into pinescript code.
2. Then I will "backtest" and prove whether "the strategy really works" in the specific ticker (e.g. BTCUSDT) for the specific timeframe (e.g. 5m).
3. Based on the backtest result, I will rate and judge whether the youtube video is "true" or "false", and then rate the validity, reliability, robustness, of the strategy. (like a lie detector)
*** What is the purpose of this series? ***
1. To notify whether the strategy really works for the people who watched the youtube video.
2. To find and build my own scalping / day trading strategy that really works.
**********************************************************************************
*** Strategy Description ***
This strategy is from "SSL QQE MOD 5MIN SCALPING STRATEGY" by youtuber "Daily Investments".
"Daily Investments" claimed that this strategy will make you some money from 100 trades in any ticker in 5 minute timeframe.
### Entry Logic
1. Long Entry Logic
- close > SSL Hybrid Baseline.
- QQE MOD should turn into blue color.
- Waddah Attar Explosion indicator must be green.
2. Short Entry Logic
- close < SSL Hybrid Baseline
- QQE MOD should turn into red color.
- Waddah Attar Explosion indicator must be red.
### Exit Logic
1. Long Exit Logic
- When QQE MOD turn into red color.
2. Short Entry Logic
- When QQE MOD turn into blue color.
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
3. SSL Hybrid Baseline is by default drawn on the chart.
4. If you check EMA filter, EMA would be drawn on the chart.
5. Should add QQE MOD and Waddah Attar Explosion indicator manually if you want to see QQE MOD.
**********************************************************************************
*** Rating: True or False?
### Rating:
→ 1.5 / 5 (0 = Trash, 1 = Bad, 2 = Not Good, 3 = Good, 4 = Great, 5 = Excellent)
### True or False?
→ False
→ Doesn't Work on 5 minute timeframe. Also, it doesn't work on crypto.
### Better Option?
→ Use this for Day trading or Swing Trading, not for Scalping. (Bigger Timeframe)
→ Although the result was bad at 5 minute timeframe, it was profitable in 1h, 2h, 4h, 8h, 1d timeframe.
→ BTC, ETH was ok.
→ The result was better when I use EMA filter (only on longer timeframe).
### Robust?
→ So So. Although result was bad in short timeframe (e.g. 30m 15m 5m), backtest result was "consistently" profitable on longer timeframe.
→ Also, MDD was not that bad under risk management option on.
**********************************************************************************
*** Conclusion?
→ Don't use this on short timeframe.
→ Better use on longer timeframe with filter, stoploss and risk management.
[MT Trader] Backtest template w/ Supertrend Strategy---EN: In this strategy template you will find some functions already pre-programmed to be used in your strategies to speed up the programming process, among them we can highlight the default stop loss and take profit functions, which will help to set easily and quickly, defining the price range in which we want to prevent large losses or protect our profits from unexpected market movements.
🔴 Stop Loss: Among the functions of the stop loss are the 4 most known, first we have the fixed percentage range (%) and price ($), when the price reaches this fixed price will limit the losses of the operation avoiding larger losses, then we have the average true range (ATR), a moving average of true range and X period that can give us good reference points to place our stop loss, finally the last point higher or lower is the most used by traders to place their stop loss.
In addition, the price range between the entry and stop loss can be converted into a trailing stop loss.
🟢 Take Profit: We have 3 options for take profit, just like stop loss, the fixed range of percentage(%) and price($), are available, in addition to this we have the 1:# ratio option, which multiplies by X number the range between the entry and stop loss to use it as take profit, perfect for strategies that use ATR or last high/low point for their strategy.
📈 Heikin Ashi Entrys: The heikin ashi entries are trades that are calculated based on heikin ashi candles but their price is executed in Japanese candles, thus avoiding the false results that occur in heikin candlestick charts, making that in certain cases better results are obtained in the strategies that are executed with this option compared to Japanese candlesticks.
📊 Dashboard: A more visual and organized way to see the results and data needed for our strategy.
Feel free to use this template to program your own strategies, if you find bugs or want to request a new feature let me know in the comments or through my telegram @hvert_mt
__________________________________________________________________________________________________________________________________________________
---ES: En esta plantilla de estrategia podrás encontrar algunas funciones ya pre-programadas para ser usadas en tus estrategias para acelerar procesos de programación, entre ellas podemos destacar las funciones por defecto de stop loss y take profit, que ayudaran a establecer de manera fácil y rápida, definiendo los rango de precio en los que queremos prevenirnos de perdidas grandes o proteger nuestras ganancias de movimientos inesperados del mercado.
🔴 Stop Loss: Entre las funciones del stop loss están las 4 más conocidas, en primer lugar tenemos el rango de porcentaje fijo(%) y el precio($), cuando el precio alcance este precio fijo se limitaran las perdidas de la operación evitando perdidas mas grandes, después tenemos el promedio de rango verdadero(ATR), una media móvil del rango verdadero y X periodo que nos puede dar buenos puntos de referencia para colocar nuestro stop loss, por ultimo el ultimo punto mas alto o mas bajo es de los mas usados por los traders para colocar su stop loss.
Adicional a esto, el rango de precio entre la entrada y el stop loss se puede convertir en un trailing stop loss.
🟢 Take Profit: Tenemos 3 opciones para take profit, al igual que en el stop loss, el rango fijo de porcentaje(%) y precio($) se encuentran disponibles, adicional a esto tenemos la opción de ratio 1:#, que multiplica por X numero el rango entre la entrada y el stop loss para usarlo como take profit, perfecto para estrategias que usen ATR o ultimo punto alto/bajo.
📈 Entradas Heikin Ashi: Las entradas Heikin Ashi son trades que son calculados en base a las velas Aeikin Ashi pero su precio esta ejecutado a velas japonesas, evitando así los falsos resultados que se producen en graficas de velas Heikin, esto haciendo que en ciertos casos se obtengan mejores resultados en las estrategias que son ejecutadas con esta opción en comparación con las velas japonesas.
📊 Panel de Control: Una manera mas visual y organizada de ver los resultados y datos necesarios de nuestra estrategia.
Siéntete libre de usar esta plantilla para programar tus propias estrategias, si encuentras errores o quieres solicitar una nueva función házmelo saber en los comentarios o a través de mi Telegram: @hvert_mt
GRID SPOT TRADING ALGORITHM - GRID BOT TRADING STRATEGYGRID SPOT TRADING ALGORITHM : LONG ONLY STRATEGY OPEN SOURCE
This is a long only strategy for spot assets.
HOW IT WORKS
Grid trading is a trading strategy where an investor creates a so-called "price grid". The basic idea of the strategy is to repeatedly buy at the pre-specified price and then wait for the price to rise above that level and then sell the position (and vice versa with shorting or hedging).
FEATURES
Grids: This algorithm has a total of 10 grids.
Take profit: The trader can increase or decrease the distance between the grids from the User Interface panel, the distance between one grid and another represents the take profit.
Management: The algorithm buys 10% of the capital every time the price breaks down a grid and sells during a rise to the next higher grid. The initial capital is invested in 10 sizes which represent 10% of the capital per trade.
Stop Loss: The algorithm knows no stop loss as long as it is not activated from the User Interface panel. By activating the stop loss from the User Interface panel the algorithm will insert a close condition on all trades which will be calculated from the last lower grid.
Trades: Trades are opened only if the price is within the grid. If the market leaves the grid the algorithm will not buy new positions or sell new positions.
Optimal market conditions: The favorable market for this algorithm is the sideways market.
LIMITATIONS OF THE MODEL
The trader must take into account that this is a static model. It only works perfectly well if the market is in a sideways phase and incurs heavy losses if the market takes a downward trend. The model is unusable for an uptrend. The trader must therefore carefully analyze the market where he intends to use this strategy, making sure that the price is in a sideways phase.
USES
Indispensable research and backtesting tool for those using bots for their investments. The algorithm produces a backtesting of the strategy for past history. It is used by professional traders to understand if this strategy has been profitable on a market and what parameters to use for bots using this strategy (Kucoin, Binance etc.).
If you would like to develop your own algorithm with customized conditions based on a grid strategy, please contact us.
If you need help in using this tool, please contact us without hesitation.
Double SupertrendThis strategy is based on a custom indicator that was created based on the Supertrend indicator. At its core, there are always 2 super trend indicators with different factors to reduce market noise (false signals).
The strategy/indicator has some parameters to improve the signals and filters.
TECHNICAL ANALYSIS
☑ Show Indicators
This option will enable/disable the Supertrend indicators on the chart.
☑ Length
The length will be used on the Supertrend Indicator to calculate its values.
☑ Dev Fast
The fast deviation or factor from one of the super trend indicators. This will be the leading indicator for entry signals, as well as for the exit signals.
☑ Dev Slow
The slow deviation or factor from one of the super trend indicators. This will be the confirmation indicator for entry and exit signals.
☑ Exit Type
It's possible to select from 4 options for the exit signals. Exit signals always take profit target.
☑ ⥹ Reversals
This option will make the strategy/indicator calculate the exit signals based on the difference between the given period's highest and lowest candle value (see Period on this list). It's displayed on the chart with the cross. As it's possible to verify in the image below, there are multiple exit spots for every entry.
☑ ⥹ ATR
Using ATR as a base indicator for exit signals will make the strategy/indicator place limit/stop orders. Candle High + ATR for longs, Candle Low - ATR for shorts. The strategy will show the ATR level for take profit and stick with it until the next signal. This way, the take profit value remains based on the candle of the entry signal.
☑ ⥹ Fast Supertrend
With this option selected, the exit signals will be based on the Fast Supertsignal value, mirrored to make a profit.
☑ ⥹ Slow Supertrend
With this option selected, the exit signals will be based on the Slow Supertsignal value, which is mirrored to take profit.
☑ Period
This will represent the number of candles used on the exit signals when Reversals is selected as Exit Type. It's also used to calculate the gradient used on the Fills and Supertrend signals.
☑ Multiplier
It's used on the take profit when the ATR option is selected on the Exit Type.
STRATEGY
☑ Use The Strategy
This will enable/disable the strategy to show the trades calculations.
☑ Show Use Long/Short Entries
Option to make the strategy show/use Long or Short signals. Available only if Use The Strategy is enabled
☑ Show Use Exit Long/Short
Option to make the strategy show/use Exit Long or Short signals (valid when Reversals option is selected on the Exit Type). Available only if Use The Strategy is enabled
☑ Show Use Add Long/Short
Option to make the strategy show/use Add Long or Short signals. With this option enabled, the strategy will place multiple trades in the same direction, almost the same concept as a pyramiding parameter. It's based on the Fast Supersignal when the candle fails to cross and reverses. Available only if Use The Strategy is enabled
☑ Trades Date Start/End
The date range that the strategy will check the market data and make the trades
HOW TO USE
It's very straightforward. A long signal will appear as a green arrow with a text Long below it. A short signal will appear as a red arrow with a text Short above it. It's ideal to wait for the candle to finish to validate the signal.
The exit signals are optional but give a good idea of the configuration used when backtesting. Each market and timeframe will have its own configuration for the best results. On average, sticking to ATR as an exit signal will have less risk than the other options.
☑ Entry Signals
Follow the arrows with Long/Short texts on them. Wait for the signal candle to close to validate the entry.
☑ Exit Signals
Use them to close your position or to trail stop your orders and maximize profits. Select the exit type suitable for each timeframe and market
☑ Add Entries
It's possible to increase the position following the add margin/contracts based on the Add signals. Not mandatory, but may work as reentries or late entries using the same signal.
☑ What about Stop Loss?
The stop-loss levels were not included as a separated signal because it's already in the chart. There are some possible ideas for the stop loss:
☑⥹ Candle High/Low (2nd recommend option)
When it's a Long signal from the entry signal candle, the stop loss can be the Low value of the same candle. Very tight stop loss in some cases, depending on the candle range
☑⥹ Local Top/Bottom
Selecting the local top/bottom as stop loss will give the strategy more room for false breakouts or reversals, keeping the trade open and minimizing noises. Increases the risk
☑⥹ Fast Supertrend (1st recommend option)
The fast supertrend can be used as stop-loss as well. making it a moving level and working close to trail stop management
☑⥹ Fixed Percentage
It's possible to use a fixed risk percentage for the trades, making the risk easier to control and project. Since the market volatility is not fixed, this may affect the accuracy of the trades
☑⥹ Based on the ATR (3rd recommend option)
When the exit type option ATR is selected, it will display the take profit level for that entry. Just mirror that value and put it as stop-loss, or multiply that amount by 1.5 to have more room for market noise.
EXAMPLE CONFIGURATIONS
Here are some configuration ideas for some markets (all of them are from crypto, especially futures markets)
BTCUSDT 15min - Default configuration
BTCUSDT 1h - Length 10 | Dev Fast 3 | Dev Slow 4 | Exit Type ATR | Period 50 | Multiplier 1
BTCUSDT 4h - Length 10 | Dev Fast 2 | Dev Slow 4 | Exit Type ATR | Period 50 | Multiplier 1
ETHUSDT 15min - Length 20 | Dev Fast 1 | Dev Slow 3 | Exit Type Fast Supertrend | Period 50 | Multiplier 1
IOTAUSDT 15min - Length 10 | Dev Fast 1 | Dev Slow 2 | Exit Type Slow Supertrend | Period 50 | Multiplier 1
OMGUSDT 15min - Length 10 | Dev Fast 1 | Dev Slow 4 | Exit Type Slow Supertrend | Period 50 | Multiplier 1
VETUSDT 15min - Length 10 | Dev Fast 3 | Dev Slow 4 | Exit Type Slow Supertrend | Period 50 | Multiplier 1
HOW TO FIND OTHER CONFIGURATIONS
Here are some steps to find suitable configurations
select a market and time frame
enable the Use This Strategy option on the strategy
open the strategy tester panel and select the performance summary
open the strategy configuration and go to properties
change the balance to the same price of the symbol (example: BTCUSDT 60.000, use 60.000 as balance)
go back to the inputs tab and keep changing the parameters until you see the net profit be positive and bigger than the absolute value of the drawdown
in case you can't find a suitable configuration, try other timeframes
Since the tester reflects what happened in the past candles, it's not guaranteed to give the same results. However, this indicator/Strategy can be used with other indicators as a leading signal or confirmation signal.
Intraday FOREX london scalperThis forex System is only for ECN Broker Account.
Pairs: Major with spread < 0.0001 (EUR/USD).
Setup:
Wait for the market to make to 60 minute from the open.
If the market is near the intraday high be prepared to go short
If the market is near an intraday low for the same time period, then be prepared to go long.
Rules for entry
For sell setups: Enter on sell stop 1 pip from low of the last 15 min bar.
For buy setups: Enter in buy stop 1 pip from high of the last 15-minute bars.
Rules for exit
Take profit: Close out positions on 6 pips profit..
Stop Loss: Close out on 5 pips loss or if trade takes more than 1 minute.
(IK) Base Break BuyThis strategy first calculates areas of support (bases), and then enters trades if that support is broken. The idea is to profit off of retracement. Dollar-cost-averaging safety orders are key here. This strategy takes into account a .1% commission, and tests are done with an initial capital of 100.00 USD. This only goes long.
The strategy is highly customizable. I've set the default values to suit ETH/USD 15m. If you're trading this on another ticker or timeframe, make sure to play around with the settings. There is an explanation of each input in the script comments. I found this to be profitable across most 'common sense' values for settings, but tweaking led to some pretty promising results. I leaned more towards high risk/high trade volume.
Always remember though: historical performance is no guarantee of future behavior . Keep settings within your personal risk tolerance, even if it promises better profit. Anyone can write a 100% profitable script if they assume price always eventually goes up.
Check the script comments for more details, but, briefly, you can customize:
-How many bases to keep track of at once
-How those bases are calculated
-What defines a 'base break'
-Order amounts
-Safety order count
-Stop loss
Here's the basic algorithm:
-Identify support.
--Have previous candles found bottoms in the same area of the current candle bottom?
--Is this support unique enough from other areas of support?
-Determine if support is broken.
--Has the price crossed under support quickly and with certainty?
-Enter trade with a percentage of initial capital.
-Execute safety orders if price continues to drop.
-Exit trade at profit target or stop loss.
Take profit is dynamic and calculated on order entry. The bigger the 'break', the higher your take profit percentage. This target percentage is based on average position size, so as safety orders are filled, and average position size comes down, the target profit becomes easier to reach.
Stop loss can be calculated one of two ways, either a static level based on initial entry, or a dynamic level based on average position size. If you use the latter (default), be aware, your real losses will be greater than your stated stop loss percentage . For example:
-stop loss = 15%, capital = 100.00, safety order threshold = 10%
-you buy $50 worth of shares at $1 - price average is $1
-you safety $25 worth of shares at $0.9 - price average is $0.966
-you safety $25 worth of shares at $0.8. - price average is $0.925
-you get stopped out at 0.925 * (1-.15) = $0.78625, and you're left with $78.62.
This is a realized loss of ~21.4% with a stop loss set to 15%. The larger your safety order threshold, the larger your real loss in comparison to your stop loss percentage, and vice versa.
Indicator plots show the calculated bases in white. The closest base below price is yellow. If that base is broken, it turns purple. Once a trade is entered, profit target is shown in silver and stop loss in red.
888 BOT #backtest█ 888 BOT #backtest (open source)
This is an Expert Advisor 'EA' or Automated trading script for ‘longs’ and ‘shorts’, which uses only a Take Profit or, in the worst case, a Stop Loss to close the trade.
It's a much improved version of the previous ‘Repanocha’. It doesn`t use 'Trailing Stop' or 'security()' functions (although using a security function doesn`t mean that the script repaints) and all signals are confirmed, therefore the script doesn`t repaint in alert mode and is accurate in backtest mode.
Apart from the previous indicators, some more and other functions have been added for Stop-Loss, re-entry and leverage.
It uses 8 indicators, (many of you already know what they are, but in case there is someone new), these are the following:
1. Jurik Moving Average
It's a moving average created by Mark Jurik for professionals which eliminates the 'lag' or delay of the signal. It's better than other moving averages like EMA , DEMA , AMA or T3.
There are two ways to decrease noise using JMA . Increasing the 'LENGTH' parameter will cause JMA to move more slowly and therefore reduce noise at the expense of adding 'lag'
The 'JMA LENGTH', 'PHASE' and 'POWER' parameters offer a way to select the optimal balance between 'lag' and over boost.
Green: Bullish , Red: Bearish .
2. Range filter
Created by Donovan Wall, its function is to filter or eliminate noise and to better determine the price trend in the short term.
First, a uniform average price range 'SAMPLING PERIOD' is calculated for the filter base and multiplied by a specific quantity 'RANGE MULTIPLIER'.
The filter is then calculated by adjusting price movements that do not exceed the specified range.
Finally, the target ranges are plotted to show the prices that will trigger the filter movement.
Green: Bullish , Red: Bearish .
3. Average Directional Index ( ADX Classic) and ( ADX Masanakamura)
It's an indicator designed by Welles Wilder to measure the strength and direction of the market trend. The price movement is strong when the ADX has a positive slope and is above a certain minimum level 'ADX THRESHOLD' and for a given period 'ADX LENGTH'.
The green color of the bars indicates that the trend is bullish and that the ADX is above the level established by the threshold.
The red color of the bars indicates that the trend is down and that the ADX is above the threshold level.
The orange color of the bars indicates that the price is not strong and will surely lateralize.
You can choose between the classic option and the one created by a certain 'Masanakamura'. The main difference between the two is that in the first it uses RMA () and in the second SMA () in its calculation.
4. Parabolic SAR
This indicator, also created by Welles Wilder, places points that help define a trend. The Parabolic SAR can follow the price above or below, the peculiarity that it offers is that when the price touches the indicator, it jumps to the other side of the price (if the Parabolic SAR was below the price it jumps up and vice versa) to a distance predetermined by the indicator. At this time the indicator continues to follow the price, reducing the distance with each candle until it is finally touched again by the price and the process starts again. This procedure explains the name of the indicator: the Parabolic SAR follows the price generating a characteristic parabolic shape, when the price touches it, stops and turns ( SAR is the acronym for 'stop and reverse'), giving rise to a new cycle. When the points are below the price, the trend is up, while the points above the price indicate a downward trend.
5. RSI with Volume
This indicator was created by LazyBear from the popular RSI .
The RSI is an oscillator-type indicator used in technical analysis and also created by Welles Wilder that shows the strength of the price by comparing individual movements up or down in successive closing prices.
LazyBear added a volume parameter that makes it more accurate to the market movement.
A good way to use RSI is by considering the 50 'RSI CENTER LINE' centerline. When the oscillator is above, the trend is bullish and when it is below, the trend is bearish .
6. Moving Average Convergence Divergence ( MACD ) and ( MAC-Z )
It was created by Gerald Appel. Subsequently, the histogram was added to anticipate the crossing of MA. Broadly speaking, we can say that the MACD is an oscillator consisting of two moving averages that rotate around the zero line. The MACD line is the difference between a short moving average 'MACD FAST MA LENGTH' and a long moving average 'MACD SLOW MA LENGTH'. It's an indicator that allows us to have a reference on the trend of the asset on which it is operating, thus generating market entry and exit signals.
We can talk about a bull market when the MACD histogram is above the zero line, along with the signal line, while we are talking about a bear market when the MACD histogram is below the zero line.
There is the option of using the MAC-Z indicator created by LazyBear, which according to its author is more effective, by using the parameter VWAP ( volume weighted average price ) 'Z-VWAP LENGTH' together with a standard deviation 'STDEV LENGTH' in its calculation.
7. Volume Condition
Volume indicates the number of participants in this war between bulls and bears, the more volume the more likely the price will move in favor of the trend. A low trading volume indicates a lower number of participants and interest in the instrument in question. Low volumes may reveal weakness behind a price movement.
With this condition, those signals whose volume is less than the volume SMA for a period 'SMA VOLUME LENGTH' multiplied by a factor 'VOLUME FACTOR' are filtered. In addition, it determines the leverage used, the more volume , the more participants, the more probability that the price will move in our favor, that is, we can use more leverage. The leverage in this script is determined by how many times the volume is above the SMA line.
The maximum leverage is 8.
8. Bollinger Bands
This indicator was created by John Bollinger and consists of three bands that are drawn superimposed on the price evolution graph.
The central band is a moving average, normally a simple moving average calculated with 20 periods is used. ('BB LENGTH' Number of periods of the moving average)
The upper band is calculated by adding the value of the simple moving average X times the standard deviation of the moving average. ('BB MULTIPLIER' Number of times the standard deviation of the moving average)
The lower band is calculated by subtracting the simple moving average X times the standard deviation of the moving average.
the band between the upper and lower bands contains, statistically, almost 90% of the possible price variations, which means that any movement of the price outside the bands has special relevance.
In practical terms, Bollinger bands behave as if they were an elastic band so that, if the price touches them, it has a high probability of bouncing.
Sometimes, after the entry order is filled, the price is returned to the opposite side. If price touch the Bollinger band in the same previous conditions, another order is filled in the same direction of the position to improve the average entry price, (% MINIMUM BETTER PRICE ': Minimum price for the re-entry to be executed and that is better than the price of the previous position in a given %) in this way we give the trade a chance that the Take Profit is executed before. The downside is that the position is doubled in size. 'ACTIVATE DIVIDE TP': Divide the size of the TP in half. More probability of the trade closing but less profit.
█ STOP LOSS and RISK MANAGEMENT.
A good risk management is what can make your equity go up or be liquidated.
The % risk is the percentage of our capital that we are willing to lose by operation. This is recommended to be between 1-5%.
% Risk: (% Stop Loss x % Equity per trade x Leverage) / 100
First the strategy is calculated with Stop Loss, then the risk per operation is determined and from there, the amount per operation is calculated and not vice versa.
In this script you can use a normal Stop Loss or one according to the ATR. Also activate the option to trigger it earlier if the risk percentage is reached. '% RISK ALLOWED'
'STOP LOSS CONFIRMED': The Stop Loss is only activated if the closing of the previous bar is in the loss limit condition. It's useful to prevent the SL from triggering when they do a ‘pump’ to sweep Stops and then return the price to the previous state.
█ BACKTEST
The objective of the Backtest is to evaluate the effectiveness of our strategy. A good Backtest is determined by some parameters such as:
- RECOVERY FACTOR: It consists of dividing the 'net profit' by the 'drawdown’. An excellent trading system has a recovery factor of 10 or more; that is, it generates 10 times more net profit than drawdown.
- PROFIT FACTOR: The ‘Profit Factor’ is another popular measure of system performance. It's as simple as dividing what win trades earn by what loser trades lose. If the strategy is profitable then by definition the 'Profit Factor' is going to be greater than 1. Strategies that are not profitable produce profit factors less than one. A good system has a profit factor of 2 or more. The good thing about the ‘Profit Factor’ is that it tells us what we are going to earn for each dollar we lose. A profit factor of 2.5 tells us that for every dollar we lose operating we will earn 2.5.
- SHARPE: (Return system - Return without risk) / Deviation of returns.
When the variations of gains and losses are very high, the deviation is very high and that leads to a very poor ‘Sharpe’ ratio. If the operations are very close to the average (little deviation) the result is a fairly high 'Sharpe' ratio. If a strategy has a 'Sharpe' ratio greater than 1 it is a good strategy. If it has a 'Sharpe' ratio greater than 2, it is excellent. If it has a ‘Sharpe’ ratio less than 1 then we don't know if it is good or bad, we have to look at other parameters.
- MATHEMATICAL EXPECTATION: (% winning trades X average profit) + (% losing trades X average loss).
To earn money with a Trading system, it is not necessary to win all the operations, what is really important is the final result of the operation. A Trading system has to have positive mathematical expectation as is the case with this script: ME = (0.87 x 30.74$) - (0.13 x 56.16$) = (26.74 - 7.30) = 19.44$ > 0
The game of roulette, for example, has negative mathematical expectation for the player, it can have positive winning streaks, but in the long term, if you continue playing you will end up losing, and casinos know this very well.
PARAMETERS
'BACKTEST DAYS': Number of days back of historical data for the calculation of the Backtest.
'ENTRY TYPE': For '% EQUITY' if you have $ 10,000 of capital and select 7.5%, for example, your entry would be $ 750 without leverage. If you select CONTRACTS for the 'BTCUSDT' pair, for example, it would be the amount in 'Bitcoins' and if you select 'CASH' it would be the amount in $ dollars.
'QUANTITY (LEVERAGE 1X)': The amount for an entry with X1 leverage according to the previous section.
'MAXIMUM LEVERAGE': It's the maximum allowed multiplier of the quantity entered in the previous section according to the volume condition.
The settings are for Bitcoin at Binance Futures (BTC: USDTPERP) in 15 minutes.
For other pairs and other timeframes, the settings have to be adjusted again. And within a month, the settings will be different because we all know the market and the trend are changing.
Grid System With Fake MartingaleThe proposed strategy is based on a grid system with a money management that tries to replicate the effect of a martingale without having to double your position size after each loss, hence the name "fake martingale". Note that a balance using this strategy is still subject to exponential decay, the risk is not minimized, as such, it would be dangerous to use this strategy.
For more information on the martingale and grid systems see:
Strategy Settings
Point determines the "grid" size and should be adjusted accordingly to the scale of the security you are applying the strategy to. Higher value would require larger price movements in order to trigger a trade, generating fewer trades as a result.
The order size determines the number of contracts/shares to purchase.
The martingale multiplier determines the factor by which the position size is multiplied after a loss, using values higher to 2 will "squarify" your balance, while a value of 1 would use a constant position sizing.
Finally, the anti-martingale parameter determines whether the strategy uses a reverse martingale or not, if set to true then the position size is multiplied after each win.
How It Works
Let's illustrate how we replicate a martingale without doubling our exposure with a simple casino example. Imagine you are playing roulette, and that you are betting on colors (black/red), your payout is 1 to 1, in the case you win, you will have your initial stake back plus a profit equal to your initial stake.
If your strategy is to recover any previous losses, you can double your stake each time you lose, once you win you will get back the previous losses plus a profit equal to your original stake, this is the martingale system. So how can we win back previous losses without having to double our stake? We could do that by doubling the payout ratio after a loss, so after a loss, we must use a payout ratio of 2:1, if we lose once again we must use a payout of 4:1...etc, our payout ratio would be subject to exponential growth instead of our stake.
Of course, the payout ratio is fixed with casino games, but in trading, we can manipulate the position of our take profit in order to replicate such effect, this is what this strategy is doing. So after a loss, we place our take profit such that a win recover our losses back plus generate a profit.
Advantages
The advantage of this approach is that unlike the martingale we don't double our position size, which instead can remain constant, this is a huge advantage as a martingale will require a significant capital in order to tank a series of losses.
Disadvantages
The main disadvantage of this method is that the price might never reach our take profit after a long losing streak, our balance would remain in the red and we couldn't do anything about it except reset the strategy.
Frictional costs are still a disadvantage, as such, we would need to place our take profits in order to account for them, while this is still better than purchasing additional shares, it minimizes the chances of the price reaching the take profit.
Conclusions
An alternative money management system replicating the effect of a martingale as been presented, we can see that such a system is far from being perfect, and it would be foolish to use it, however, it stills offer a convenient alternative to less aggressive progressive position sizing systems.
I have been receiving some messages from users criticizing me for exposing the martingale money management system, and I understand why but I can't agree, talking about it allow me to warn users against it, the grid-martingale methodology is will create more harm than anything else, the reward is only one side of the story and should always be compared against the risk, so always take a look at all the statics in a backtest.
Thanks for reading!
Shout-Out
This post was made possible thanks to my patrons:
@Happymono, @AmariMars, @kkhaial, @Nugehe, @LucF, @Nosmok, @iflostio, @DankBeans, @ecletv, @Neverstorm, @alex.crown.jr, @uk503, @xkingshotss, @vsov, @jbelka, @yatrader2, @hughza, @ganh
ADX Curvature SuiteADX² Curvature Suite: Beyond Trend Strength
Detect Trend Ignition Before the Crowd by Analyzing the Second Derivative of Momentum.
█ OVERVIEW: A PARADIGM SHIFT IN TREND ANALYSIS
This is not another ADX indicator. This is a complete paradigm shift in how we perceive and trade trends.
The standard Average Directional Index (ADX) is a powerful but fundamentally flawed tool for the modern trader. It is a lagging indicator. It tells you that a trend existed . It confirms what has already happened. The ADX² Curvature Suite was engineered to solve this problem by asking a more profound question: not "Is there a trend?" but " Is a trend being born right now? " and " Is this established trend about to die? "
To achieve this, we go beyond the first dimension of trend strength and venture into the second and third dimensions: Velocity and Acceleration . We don't just measure the ADX value; we measure its rate of change, and the rate of change of its rate of change. This is Curvature Analysis . It allows us to see the subtle, invisible forces building beneath the surface of the market—the coiling spring of momentum right before a trend explodes, and the critical loss of thrust right before it collapses.
This suite is a fusion of three professional-grade analytical engines working in perfect concert:
The Curvature Engine: A sophisticated calculus-based system that computes the 1st and 2nd derivatives of the ADX to quantify its momentum.
The Phase Detection System: A proprietary model that classifies the market into one of six distinct phases in a trend's lifecycle, from Dormancy to Exhaustion.
The Quantum Vortex Bands™: A visually stunning, adaptive volatility and momentum channel for the ADX itself, providing context to its every move.
Together, they form a comprehensive decision-support system designed to give you an almost unfair advantage in identifying trend ignition and exhaustion points before the rest of the market has even registered a change.
█ THE SCIENCE: THE THREE PILLARS OF ADX²
The genius of this suite lies in its multi-layered mathematical foundation. It's a symphony of classical theory and modern statistical analysis.
Pillar 1: The Core ADX Engine (The "What")
At its base, the suite uses the classic ADX calculation developed by J. Welles Wilder Jr. It measures the strength of a trend, irrespective of its direction, on a scale of 0-100. The Directional Movement Indicators (+DI and -DI) provide the directional bias. This is our foundation—the raw data from which we extract a higher-dimensional truth.
Pillar 2: Curvature Analysis (The "When")
This is the revolutionary core of ADX². We apply the principles of differential calculus to the ADX line itself.
Velocity (1st Derivative): Calculated as ADX - ADX . This is the speed of the ADX. A positive velocity means trend strength is increasing. A negative velocity means it's decreasing. This is a leading indicator compared to the ADX value alone.
Acceleration (2nd Derivative): Calculated as Velocity - Velocity or ADX - 2*ADX + ADX . This is the change in speed of the ADX. It's the "force" being applied to the trend.
Positive Acceleration is like pressing the gas pedal on a car. It signifies a trend is not just strengthening, but strengthening at an increasing rate. This is the mathematical signature of Ignition .
Negative Acceleration is like hitting the brakes. It signifies a trend is losing thrust, even if its speed (ADX value) is still high. This is the mathematical signature of Exhaustion .
By analyzing these derivatives, we can identify critical inflection points in trend momentum that are completely invisible to anyone looking at the standard ADX alone.
Pillar 3: Z-Score Normalization (The "How")
Raw acceleration values are meaningless when comparing different assets or timeframes. An acceleration spike on NQ is vastly different from one on EURUSD. To solve this, we employ a powerful statistical tool: the Z-Score .
The Z-Score formula is: Z = (Value - Mean) / Standard_Deviation
We apply this to our calculated acceleration values. The result is a normalized score that tells us how many standard deviations away from the "normal" behavior the current acceleration is. A Z-Score of +2.0 means the current acceleration is a 2-sigma event—statistically significant and rare. This makes our signals universal and adaptive . A +2.0 sigma Ignition signal has the same statistical weight on a 1-minute chart of a volatile crypto as it does on a daily chart of a stable stock. This is what allows the suite to work out-of-the-box on virtually any market, automatically adapting to its unique volatility and character.
█ THE SIX PHASES OF A TREND: A MARKET LIFECYCLE
The ADX² engine uses its curvature and Z-Score data to classify the market into one of six distinct phases, providing a clear, color-coded narrative of the trend's lifecycle.
💤 DORMANT: ADX is low and flat. The market is consolidating. There is no trend. This is the time to stand aside and wait.
⚡ IGNITION: ADX is low, but a powerful spike in positive acceleration has been detected. The engine of a new trend is firing up. This is your earliest entry signal.
🚀 ACCELERATION: ADX is rising with positive velocity. The trend has left the station and is gaining momentum. This is the main "trend following" phase.
🏔 MATURE: ADX is high and its velocity is flattening. The trend is well-established and powerful, but no longer accelerating. This is a time to be cautious and manage positions.
🔥 EXHAUSTION: ADX is high, but a significant negative acceleration event has occurred. The trend has hit the brakes hard. A reversal or deep pullback is highly probable. This is your primary exit signal.
📉 DECLINE: ADX is falling with negative velocity. The trend's strength is actively fading, and the market is returning to a dormant state.
█ THE ARSENAL: MASTERING THE VISUALS
Every visual element is a data-rich component designed for rapid interpretation.
The Main Chart: Signals & Trade Management
Signal Shapes: Every signal appears as a shape on the main chart.
Triangles (▲▼): These are the highest conviction signals— Ignition and
Exhaustion . Their color indicates the specific event type.
X-Crosses (◇): These mark Divergences between price and ADX—powerful reversal warnings.
Kill Zone Labels: These are dynamic, floating labels that appear in real-time when high-probability conditions are met.
⚡ IGNITION ZONE: Appears below price when the market is dormant but curvature is building. It's a "prepare to engage" warning.
🔥 EXHAUSTION ZONE: Appears above price when the trend is mature but rapidly decelerating. It's a "prepare to exit" warning.
The Signal Line System: When a signal fires, a full trade management overlay can be drawn.
Entry Line: A colored line (Solid, Dashed, or Dotted) at the signal price.
SL/TP Lines: Dotted lines showing ATR-based Stop Loss (Red) and up to 3 Take Profit levels (Green).
Live Tracking: The lines track progress, dimming when a TP is hit and self-deleting upon completion, leaving a ✓ for a win or an ✗ for a loss. It's a visual backtester on your live chart.
The Lower Pane: The Engine Room
The ADX Line: The line itself is color-coded. A dull color indicates low ADX, a neutral color for a building trend, and a bright, vibrant color for a high, mature trend.
Signal Dots: Colored circles and crosses are plotted directly on the ADX line, allowing you to instantly correlate the signal with the exact ADX level and phase.
The Quantum Vortex Bands™: This is not a Bollinger Band. This is a dynamic, six-layered channel for the ADX itself.
Adaptive Width: The bands expand and contract based on both ADX volatility and its current acceleration (curvature). High acceleration forces the bands wider, anticipating a larger move.
Phase-Adaptive Colors: The fill color of the bands changes dynamically to match the currently detected market phase, giving you an at-a-glance understanding of the trend's health.
Interpretation: When ADX pushes to the outer bands, it's in an extreme state. An Ignition signal when ADX is at the lower band is a high-conviction entry. An Exhaustion signal when ADX is at the upper band is a high-conviction exit.
The Dashboard (HUD): Your All-In-One Command Center
This professional Heads-Up Display provides a comprehensive, real-time summary of every critical metric.
MARKET Section: Shows the raw ADX value, its strength classification (e.g., "STRONG"), and the current directional bias (Bulls vs. Bears) with the spread between +DI and -DI.
MOMENTUM Section: This is the curvature readout. It displays the numerical Velocity (VEL), the Z-Score of the Curvature (CURV), and the RSI of the ADX (RSI²) for a meta-momentum perspective.
PHASE Section: Your at-a-glance trend lifecycle status. It shows the current confirmed phase icon and name (e.g., "⚡ IGNITION"), a counter for how many bars the phase has been active, and the type/strength of any active signal.
STATUS Section: A quick check on secondary systems. It confirms if you are in a Kill Zone, if a Divergence is active, and the count of active Signal Lines on your chart.
OPTIMIZER Section: When enabled, this section displays the results of the built-in backtester, including Win Rate, Profit Factor, and a proprietary Stability Rating ( ROBUST, STABLE, FRAGILE, OVERFIT ) to help you validate your settings.
█ THE COMMAND CENTER: MASTERING THE INPUTS
Every parameter of the ADX² engine is exposed for your control. This allows for unparalleled fine-tuning to any market, timeframe, or trading style.
Core ADX & Curvature Settings
ADX/DI Length & Smoothing: Standard ADX parameters. How to use: Shorter lengths (e.g., 10) for scalping; longer lengths (e.g., 21) for swing trading. Stick to "RMA" smoothing for the classic feel.
Curvature Smoothing: This is the "secret sauce." It smooths the velocity and acceleration calculations. How to use: Use a low value (2-3) for volatile markets or low timeframes to remain responsive. Use a higher value (4-5) for smoother signals on higher timeframes.
Z-Score Lookback & Threshold: Controls the normalization engine. How to use: The Lookback (default 50) sets the "memory" for what is "normal." The Threshold is for the generic curvature spike signals (circles). A higher value (e.g., 2.5σ) will only show extreme events.
Signal Detection Settings
Ignition/Exhaustion Thresholds: The Z-Score level required to trigger the primary phase-change signals. How to use: A lower threshold (e.g., 1.0σ) will give earlier, more frequent signals with more false positives. A higher threshold (e.g., 2.0σ) will give later, less frequent, but higher-conviction signals.
Low/High ADX Levels: These define the boundaries for the phases. Low ADX (default 20) is the ceiling for the Dormant phase. High ADX (default 40) is the floor for the Mature phase. How to use: For choppy markets, you might raise the Low ADX to 22 to avoid false ignitions. For strongly trending markets, you might lower the High ADX to 35 to get earlier exhaustion warnings.
Min Bars Between Signals: A crucial spam filter. It enforces a "cooldown period" after a signal fires, preventing over-trading in choppy conditions.
Signal Lines & Trade Management
SL/TP Multipliers (xATR): Fully customize the risk-to-reward profile of the visual trade overlays. The system uses the Average True Range (ATR) for volatility-adaptive targets. How to use: For day trading, a 1.5 ATR Stop Loss and 1.0, 2.0, 3.0 ATR Take Profits is a balanced approach. For swing trading, you might use a wider 2.5 ATR stop and more ambitious targets.
Quantum Vortex Bands™
Band Mode: Choose from four distinct geometric configurations ( Triple Layer, Fractal Cloud, Momentum Tunnel, Phase Spectrum ) to visually optimize the bands for your specific market type—from high-volatility crypto to tight-ranging indices.
Band Width Multiplier: The master control for the overall width of the bands, allowing you to tune them to be tighter or wider based on your instrument's character.
The Optimizer Engine
Toggle the built-in backtester to rapidly test your settings. Adjust the optTP and optSL to find the most ROBUST configuration for your chart's visible data before committing to a strategy.
█ DEVELOPMENT PHILOSOPHY
The ADX² Curvature Suite was born from a deep dissatisfaction with the static, lagging nature of conventional technical analysis. We believe the future of trading lies not in measuring where the market has been, but in quantifying the forces that will determine where it is going next. By applying calculus and adaptive statistics to a classic indicator, we've created a tool that doesn't just show you the trend; it reveals its DNA. It is complex by necessity, because the market is complex. My mission is to translate that complexity into actionable clarity.
This suite is my attempt to provide the ultimate tool for "sizing up the entire market," giving you the ability to see the very inception and conclusion of those main movements where the real money is made.
█ DISCLAIMER AND BEST PRACTICES
THIS IS NOT A STANDALONE SYSTEM: The ADX² Suite is an advanced decision-support tool. It should be used in conjunction with your own analysis of price action, support/resistance, and market structure.
RISK MANAGEMENT IS PARAMOUNT: All trading involves risk. The visual SL/TP lines are for guidance only. Always use proper position sizing and risk management protocols. This indicator does not guarantee profits.
BACKTEST AND OPTIMIZE: Use the built-in Optimizer Engine and TradingView's Strategy Tester to find the settings that are most robust for your chosen instrument and timeframe before trading live.
HIGH-CONVICTION SETUPS: The highest probability signals occur when multiple factors align: An Ignition signal fires from a low ADX level, near the bottom of the Vortex Bands, in a confirmed Kill Zone, and in the direction of the higher timeframe bias.
"The big money is not in the individual fluctuations, but in the main movements – that is, not in reading the tape, but in sizing up the entire market and its trend."
— Jesse Livermore
Taking you to school. - Dskyz, Trade with probability. Trade with anticipation. Trade with ADX².
Hooke's Law: Market ElasticityHooke's Law: Market Elasticity is a physics-based mean reversion system that models price action using the principles of Classical Mechanics.
Most technical indicators treat the market as a purely statistical entity. This script takes a different approach, treating the market as a physical object with Mass (Volume) and Stiffness (Volatility) . By adapting Hooke’s Law of Elasticity (𝐹=−𝑘𝑋), it visualizes the "Tensile Stress" between price and its equilibrium, identifying the exact moment when a trend becomes unsustainable and must "snap back."
The Physics of Trading
In physics, Hooke's Law states that the force needed to extend a spring is proportional to the distance it is stretched. We map this to financial markets using four key components:
Equilibrium (𝑋=0): The "Resting State" of the market, calculated using a Volume-Weighted Moving Average (VWMA) . This represents the fair value where buyers and sellers agree.
2. Displacement (𝑋): The distance price travels away from this equilibrium.
3. Spring Constant (𝑘): We use Volatility (Standard Deviation) to measure the market's "stiffness."
• Low Volatility: The spring is loose; price can wander far without snapping.
• High Volatility: The spring is stiff; even small deviations create massive tension.
4. Force (𝐹): The calculation is weighted by Relative Volume . A price spike on low volume has low force (easy to reverse), while a spike on high volume carries high momentum (harder to reverse).
Visual Guide & Signals
The indicator uses a hierarchy of visuals to guide you through the trade lifecycle:
1. The Elastic Ribbon (Heatmap)
Connects Price to the Baseline. As the ribbon turns Solid White , the market has reached its Elastic Limit (Critical Zone). This is your warning that a move is overextended.
2. The "Golden" Labels (LONG / SHORT)
These are your Entry Signals . They appear only when the physics "snap" is confirmed by an internal momentum filter and price action.
3. The Small Circles (Minor Reversions)
These dots represent "Minor Snaps." They occur when the elastic tension releases, but the momentum filter hasn't fully confirmed a major reversal.
• Usage: These are excellent Early Warning signs or Scale-In points for aggressive traders.
Strategy: Entries, Exits & Take Profits
This script is designed as a complete system. Here is how to manage the trade using the visual cues:
• Entry: Wait for a LONG or SHORT label to appear.
• Stop Loss: Use the Solid White Line that appears automatically with the signal. If price touches this line, the physics setup has failed—exit immediately.
• Take Profit 1 (The Equilibrium): The Gray Baseline represents the market's center of gravity. In mean reversion trading, price tends to snap back to this line. This is the statistically highest-probability target.
• Take Profit 2 (The Circles): If you are in a trade and a Circle appears in the opposite direction, it indicates the market is experiencing counter-tension. This is an ideal place to secure partial profits or trail your stop.
Settings & Configuration
• Baseline Length (Default: 34): The lookback period for the Center of Gravity.
• Elasticity Limit (Default: 2.618): The Golden Ratio is used as the standard deviation threshold for the "Critical Zone."
• Volume Weighting (Default: True): Recommended. Adds the "Mass" component to the physics calculation.
• Stop Loss Buffer (Default: 0.5): The distance (in Sigma) for the Stop Loss placement.
Risk Disclaimer
Not Financial Advice: This indicator is designed for educational and analytical purposes only. It visualizes market data based on mathematical formulas (Hooke's Law and Statistical Deviation) and does not guarantee future performance or profits.
Market Risks: Financial trading involves significant risk. The "Critical Zones" and "Signals" generated by this script identify statistical extremes, but markets can remain irrational or overextended for long periods ("Plastic Deformation").
Usage: Do not trade blindly based on these signals. Always use this tool in conjunction with your own analysis, risk management, and stop-losses. The author assumes no responsibility for any trading losses incurred while using this script.
Ultimate Futures Daytrade Suite v1 - The Strategy GuideHere is the complete **Strategy Guide** translated into English.
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# 📘 Ultimate Futures Daytrade Suite – The Strategy Guide
### 1. The Visual Legend (What is what?)
Before you trade, you need to understand the hierarchy of your lines. Not every line has the same importance.
* **🟣 Daily EMA 50 (Neon Violet):** The **"Big Boss"**. It determines the **Macro Trend**.
* *Price above:* We are primarily looking for Longs.
* *Price below:* We are primarily looking for Shorts.
* **🟢 4h EMA 50 (Neon Green):** The **"Swing Trend"**. Your most important level for **Pullback Entries** (Re-entries).
* **🟡 POC (Gold) & TPO:** The **"Magnet"**. Price often returns here.
* *Rule:* Never open a trade directly *on* the POC (Risk of "Chop"). Use it as a **Target** (Take Profit).
* **🟠 IB High/Low (Orange Lines):** The **"Daily Structure"**.
* A breakout from the IB (Initial Balance) often indicates the trend direction for the day.
* **🟥/🟩 Boxes (Supply/Demand):** Resistance and Support zones from the 1h timeframe.
* **⬜ FVG Boxes:** "Gaps" in the market that are often filled.
---
### 2. The Trading Workflow (Top-Down Method)
Go through this mental checklist before every trade:
#### Step 1: Trend Check (The Traffic Light)
Look at the **Violet Line (Daily)** and the **Green Line (4h)**.
* **Bullish:** Price is above Violet AND above Green. -> *Focus: Buy dips.*
* **Bearish:** Price is below Violet AND below Green. -> *Focus: Sell rallies.*
* **Mixed:** Price is between Violet and Green. -> *Caution! Market is undecided (Range Trading).*
#### Step 2: Location (The Context)
Where is the price currently located?
* Are we at a **Green Demand Zone**?
* Are we testing the **4h EMA 50 (Green)** from above?
* Are we at the **VWAP**?
* *Never trade in "No Man's Land"!* Wait until the price touches one of your lines.
#### Step 3: Trigger (The Execution)
Now zoom into your lower timeframe (e.g., 5min or 15min).
* Wait for a reaction at the zone.
* Use the **EMA 9 (Yellow)** as a momentum trigger. If price breaks the EMA 9 and closes above/below it, that is your "Go".
---
### 3. The Setup Blueprints
Here are the two most profitable scenarios you can trade with this script:
#### A) The "Golden Trend" Setup (Long)
* **Context:** Price > **Daily EMA (Violet)**.
* **Preparation:** Price corrects (drops) back to the **4h EMA 50 (Green)** or to the **VWAP**.
* **Confluence:** Ideally, there is also a **Demand Zone (Green Box)** or an **FVG** at that level.
* **Entry:** As soon as a candle touches the zone and closes bullish again (or reclaims the EMA 9).
* **Stop-Loss:** Below the 4h EMA 50.
* **Take-Profit:** Next **Supply Zone (Red)** or the **IB High (Orange)**.
#### B) The "Daytrade Breakout" (Intraday)
* **Context:** Price opens inside yesterday's Value Area.
* **Signal:** Price breaks through the **IB High (Orange)** with momentum.
* **Filter:** Price must be above the **VWAP**.
* **Entry:** On the retest of the IB High or directly on the breakout.
* **Target:** Price often trends in that direction for the rest of the day.
---
### 4. Warning Signals (When NOT to trade)
1. **The "Concrete Ceiling":** If you want to go Long, but the **Violet Daily EMA 50** is running directly above you. This is massive resistance. Better wait until it is broken.
2. **The "POC Dance":** If price is dancing sideways around the **Gold Line (POC)**. This is a "No-Trade Zone". Day traders lose the most money here due to fees and whipsaws.
3. **Overextension:** If price is extremely far away from the **4h EMA 50 (Green)** (Rubber Band Effect). Do not enter in the trend direction here; wait for a pullback to the line.
### Summary
Your chart is now telling you a story:
* **Violet** tells you the Direction.
* **Green** gives you the Entry.
* **Red/Green Boxes** show you the Obstacles.
* **Yellow (EMA 9)** gives you the Timing.
Good luck with the Suite! This is a setup similar to what institutional traders use.
TA Confluence Scanner v2.9 | Mint_Algo📘 TA Confluence Scanner
Introduction
The TA Confluence Scanner is a multi-factor trend system designed to filter market noise and identify high-probability trade setups. By combining adaptive algorithms (KAMA) with Price Action methodologies (SMC, Breakouts, Fractals), this indicator operates on the principle of Confluence : a signal is only valid when multiple independent tools agree on the direction.
Instead of relying on a single lagging indicator (like just MA fast and slow crossover), this script acts as a "Scanner," evaluating the market state through Volatility, Trend Structure, and Equilibrium.
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Important Note
To make this "Plug & Play," I have included optimized presets in the settings for different timeframes (1m/15m-1h/4h-1D) and trading styles (Scalper, Intraday, Swing, Investor) tested on symbols:
FX:EURUSD
IG:NASDAQ
BITSTAMP:BTCUSD
BINANCE:ETHUSD
CAPITALCOM:US500
OANDA:XAUUSD
NASDAQ:AAPL
NASDAQ:TSLA
BUT default settings already include a good preset which excludes most of the noise and grabs the trend better (fewer entries, but quality is higher).
Check the presets at the bottom 👇
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Core Features
Adaptive Trend Filter (KAMA): Adjusts to market volatility to distinguish between chop and true trends.
SMC Equilibrium (EQ) Fans: A three-tiered dynamic structure (Fast, Medium, Slow) for trailing stops and targets.
Confluence Counter: Visually displays the strength of a signal (e.g., "Strong 4/6") based on how many factors align.
Re-Entry Logic: Identifies low-risk entry points within an existing trend.
Automated S/R & Breakouts: Detects key pivot levels and structural breaks.
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Settings & Components Breakdown
1. KAMA (Primary Trend Filter)
The backbone of the system. It calculates the Efficiency Ratio (ER) of price movement.
How it works: If the ER is high (strong trend), KAMA follows price closely. If ER is low (ranging), KAMA flattens out to prevent false signals.
Tuning:
Fast (ER ~100/5/60): For Scalping.
Smooth: Default settings are optimized for a balance between lag and noise reduction.
2. SMC Equilibrium (EQ Structure)
Based on the HL2 formula (High+Low / 2), this creates a "fan" of three lines:
EQ1 (Fast): The aggressive line. Used for early exits or scalping stops.
EQ2 (Medium): The baseline trend structure.
EQ3 (Slow): The major trend container. Used for position trading.
Usage: Use these lines to gauge how far price has deviated from its "fair value."
3. Breakout & Internal Trend
Lookback Period: Defines the range for a valid breakout. A lower lookback (e.g., 10) gives earlier signals but more noise; a higher lookback (e.g., 20-30) confirms significant structural breaks.
Internal Trend: A simplified SMA check to ensure immediate momentum aligns with the macro trend.
4. Signal Strength (The Confluence Meter)
The indicator counts active signals from: KAMA, Internal Trend, S/R, FVG, Breakout, and EQ.
Strong Signal: When the count hits your threshold (e.g., 4/6 ). This suggests a high-probability reversal or breakout.
Medium Signal (Triangles): These appear when the trend is active but not all filters align. These are excellent continuation/re-entry points.
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How to Trade (Strategy Guide)
🎯 The Entry
Wait for a Strong Signal (Large Label). This confirms that volatility, structure, and momentum have aligned.
Conservative: Wait for the candle to close.
Aggressive: Enter on the breakout of the KAMA line.
🔄 Re-Entry & Continuation
Markets rarely move in a straight line.
Scenario: You missed the initial "Strong" entry, or you took profit and want to re-enter.
The Signal: Look for the small Triangles (Medium signals). These often appear after a pullback when price resumes the main trend.
Logic: If the main KAMA trend is still green/red, but the "Strong" signal isn't firing, a Triangle indicates a safe place to add to a position.
⚠️ Pyramiding & Risk Management (Advanced)
The EQ Lines (Fast/Medium/Slow) are designed for a tiered position management strategy:
Entry: Open position (e.g., 0.03 lots).
First Take Profit: When price extends far beyond EQ1 (Fast) , lock in partial profits.
Trailing Stop: Move your Stop Loss to trace the EQ2 (Medium) line.
Trend Riding: Hold the "Runner" portion of your position until price closes back under EQ3 (Slow) or the KAMA line.
Tip: Use William Fractals (Period 2) to pinpoint exact swing highs/lows for tightening stops.
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Presets & Optimized Settings
To make this "Plug & Play," I have included optimized presets in the settings for different trading styles.
(If you don't see some parameters, that means they are turned off in trading mode)
⚡ SCALPER (1m - 5m)
KAMA:
ER: 100
Fast Length: 15
Slow Length: 30
FVG:
Size %: 0.01
Trend Detection:
Length: 20
Breakout:
Lookback Period: 10
S/R Detection:
Pivot Length: 10
Tolerance: 0.3
SMC EQ:
Default: 10
EQ1: 10
EQ2 (Main): 30
EQ3: 120
Signal Strength:
Strong: 4
Medium: 3
📊 INTRADAY (15m - 1H)
KAMA:
ER: 100
Fast Length: 5
Slow Length: 30
Trend Detection:
Length: 100
Breakout:
Lookback Period: 30
S/R Detection:
Pivot Length: 20
Tolerance: 0.5
SMC EQ:
Default: 10
EQ1: 10
EQ2 (Main): 40
EQ3: 80
Signal Strength:
Strong: 4
Medium: 3
📈 SWING (4H - 1D)
KAMA:
ER: 30
Fast Length: 4
Slow Length: 30
Trend Detection:
Length: 50
Breakout:
Lookback Period: 20
S/R Detection:
Pivot Length: 30
Tolerance: 0.7
SMC EQ:
Default: 10
EQ1: 10
EQ2: 50
EQ3 (Main): 60
Signal Strength:
Strong: 4
Medium: 3
💼 INVESTOR (4H - 1D+)
KAMA:
ER: 30
Fast Length: 5
Slow Length: 10
Trend Detection:
Length: 100
Breakout:
Lookback Period: 50
S/R Detection:
Pivot Length: 30
Tolerance: 0.7
SMC EQ:
Default: 10
EQ1: 10
EQ2: 50
EQ3 (Main): 100
Signal Strength:
Strong: 4
Medium: 3
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Notes
FVG (Fair Value Gaps): Optional. Enable if you trade volatile assets like Crypto/Gold where imbalances are common.
Support/Resistance: The built-in Pivot system is optional. Disable it if you prefer drawing your own levels to keep the chart clean.
Recommended Pairing:
For best results, pair this with a momentum oscillator like RSI to detect the range regime of a trend. Or DI+ and DI- (when it crosses over each other, that means the "range of possible" regime change of a trend).
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Disclaimer:
This tool is for informational purposes only. "Confluence" increases probability but does not guarantee results. Always manage your risk.
VIOP Scalping - OriginalVIOP Scalping – Original is a rule-based scalping strategy ported from an original C# logic set. It aims to trade only when trend direction, momentum, and trend strength align, then manages the position using fixed take-profit/stop-loss percentages with an optional trailing mechanism to protect gains during favorable moves.
This strategy is provided for educational and backtesting purposes only. It is not financial advice and does not guarantee profitability. Always test thoroughly before any live usage.
Core Concept
Follow the dominant WMA trend, confirm momentum with EMA separation, filter conditions with RSI + ADX, then exit using fixed TP/SL with trailing behavior after a defined profit threshold.
How the Strategy Works
Trend Direction is defined by WMA: above WMA = long bias, below WMA = short bias.
Momentum is measured via Fast EMA vs Slow EMA and the EMA difference.
Trend Strength is confirmed using ADX (must exceed a threshold).
RSI filters trades to avoid entering when momentum is likely overextended or weak.
A no-trade session blocks entries during a predefined time window (default 09:30–10:05).
Exit logic uses fixed percent TP/SL, with an optional trailing mechanism that activates after a profit threshold.
Inputs and Settings
Trend and Indicator Settings
Main Trend WMA: Determines directional bias (price above = long, price below = short).
Fast EMA / Slow EMA: Used to measure momentum and directional separation.
RSI Period: Filters entries based on RSI range constraints.
ADX Period: Measures trend strength (must exceed threshold to allow entries).
Threshold Settings
EMA Difference Threshold: Minimum EMA separation required to validate momentum.
ADX Threshold: Minimum ADX required to confirm trend strength.
RSI Long Ceiling: RSI must remain below this value for long entries.
RSI Short Floor: RSI must remain above this value for short entries.
Risk Management Settings
Take Profit %: Default TP distance in percent.
Strong Trend Take Profit %: Higher TP used when a “strong trend” condition is detected.
Stop Loss %: Fixed SL distance in percent.
Trailing Activation %: Profit threshold at which trailing starts.
Trailing Distance %: Trailing offset distance used once trailing is active.
Time Filter
No-Trade Hours: Default session is 09:30–10:05. During this window, the strategy does not open new trades.
Entry Logic
No-Trade Time Filter
If the current bar falls inside the no-trade session, entries are blocked.
Long Entry Conditions
Price is above the WMA trend line.
EMA difference is positive and greater than the EMA Difference Threshold.
EMA momentum is increasing (current EMA diff > previous EMA diff).
RSI is within the defined range (RSI > 48 and RSI < RSI Long Ceiling).
Close is higher than the previous close.
ADX is above the ADX Threshold.
Short Entry Conditions
Price is below the WMA trend line.
EMA difference is negative and lower than -EMA Difference Threshold.
Bearish momentum is increasing (current EMA diff < previous EMA diff).
RSI is within the defined range (RSI < 52 and RSI > RSI Short Floor).
Close is lower than the previous close.
ADX is above the ADX Threshold.
Strong Trend Logic (Dynamic TP Selection)
If price is far from the WMA (absolute distance > 20 points) AND EMA separation is strong (absolute EMA diff > 1.5 points), the strategy treats the environment as a strong trend.
In strong trend mode, the strategy uses “Strong Trend Take Profit %” instead of the default “Take Profit %”.
Exit Management (TP/SL + Trailing)
The strategy uses fixed percentage-based TP and SL levels.
Trailing logic is enabled via strategy.exit and activates only after price moves in profit by the defined Trailing Activation %.
Once activated, trailing follows price using the defined Trailing Distance % offset.
This is designed to secure partial gains during extended moves while still allowing room for continuation.
What You See on the Chart
WMA Trend Line (Main Trend Filter).
Fast EMA and Slow EMA (Momentum Confirmation).
Strategy entry/exit markers generated by TradingView.
Recommended Use
Scalping systems that rely on trend-following and momentum confirmation.
Markets where ADX filtering helps avoid choppy conditions.
Traders who want a simple, parameter-driven TP/SL system with trailing after confirmation.
Important Notes
The no-trade session depends on your chart/session settings. Ensure your symbol/session configuration matches your intended market hours.
Percent-based exits scale with price; results will vary across instruments and volatility regimes.
Always validate behavior using bar replay, forward testing, and realistic commission/slippage assumptions.
Crypto Professional Suite V2.0 [R2D2]Here is the complete professional documentation and strategy guide for your Crypto Pro Suite indicator. This guide is designed to help you install the tool correctly, understand its features, and utilize it to maximize your trading returns.
Crypto Pro Suite: The Professional Crypto Trader's All-In-One Toolkit
1. Introduction
The Crypto Pro Suite is a high-performance TradingView indicator designed to consolidate the five most critical technical analysis tools into a single, clean overlay.
Instead of cluttering your screen with multiple sub-charts (panes), this suite integrates Moving Averages, Bollinger Bands, and Fibonacci Levels directly onto the price action. It transforms "oscillator" data (RSI and MACD) into actionable Buy/Sell signals on your candles and a real-time Status Dashboard.
Key Features:
Zero Clutter: No bottom panes required; maximizes screen real estate for price analysis.
Real-Time Dashboard: Instant readout of Trend, RSI status, and MACD momentum.
Dynamic Overlay: Indicators move fluidly with your candles.
2. Installation Instructions
Follow these steps precisely to ensure the "Overlay" feature functions correctly.
Clean Slate: If you have any previous version of this script on your chart, remove it now (click the 'X' next to the indicator name).
Open Editor: Click the Pine Editor tab at the bottom of your TradingView screen.
Paste Code: Delete any existing text and paste the Final Polished Script provided in the previous response.
Save & Add: Click Save, then click Add to chart.
Note: By adding it fresh, TradingView forces the script to lock onto the price candles rather than a separate pane.
Verify: You should see colored lines (MAs, Bollinger Bands) directly on top of your candlesticks and a Dashboard in the top right.
3. Using the Script: Settings & Customization
Access the settings by clicking the Gear Icon next to the indicator name.
Dashboard: You can toggle the info panel On/Off or change its size (Tiny to Large) to fit your screen resolution.
Toggle Control: Each of the 5 indicators has a "Show" checkbox. You can turn off noise (e.g., hide Bollinger Bands) when you only want to focus on Trend (MAs).
Inputs:
MAs: Defaults are 50/200 (Classic Golden Cross setup).
RSI: Default is 14 length, 70/30 limits.
Fibs: Default lookback is 200 bars. Increase this number to find Support/Resistance over a longer timeframe.
4. Maximizing Returns: Strategy & Examples
To maximize returns, professionals do not use indicators in isolation. They look for Confluence—where multiple indicators signal the same direction simultaneously.
A. Moving Averages (Trend Filter)
The Setup: The script plots a Fast MA (Yellow) and Slow MA (Blue).
Strategy:
Golden Cross (Buy): When the Yellow line crosses above the Blue line. This signals the start of a long-term bull trend.
Death Cross (Sell): When the Yellow line crosses below the Blue line.
Pro Tip: Never go long (Buy) if price is significantly below the Blue (Slow) MA.
B. Relative Strength Index (RSI)
The Setup: Instead of a line graph, you will see labels on the candles: "RSI Buy" (Green) or "RSI Sell" (Red).
Strategy:
Mean Reversion: If you see an "RSI Sell" label, the asset is Overbought. This is often a signal to take profit, not necessarily to short.
The Dip Buy: Look for an "RSI Buy" label occurring during a general uptrend (price above Slow MA). This indicates a healthy pullback that is ready to bounce.
C. MACD (Momentum)
The Setup: Green Triangles (Buy) and Red Triangles (Sell) appear above/below candles.
Strategy:
Trend Confirmation: Use MACD to confirm the Moving Average. If price crosses above the MA and you get a Green MACD Triangle, the breakout has high momentum and is likely to succeed.
Exit Signal: If you are in a Long trade and see a Red MACD Triangle, momentum is fading. Consider tightening your stop-loss.
D. Bollinger Bands (Volatility)
The Setup: A shaded teal channel surrounding the price.
Strategy:
The Squeeze: When the bands get very narrow, a massive move is coming. Wait for the breakout.
Walking the Bands: In a strong crypto bull run, price will hug the Upper Band. If price closes outside the band and then immediately closes inside it, it is a reversal signal (Sell).
E. Fibonacci Retracement (Support/Resistance)
The Setup: Dynamic horizontal lines (0%, 23.6%, 38.2%, 50%, 61.8%, 100%) based on recent highs/lows.
Strategy:
The Golden Pocket: The most powerful buy zone in crypto is between the 0.5 and 0.618 lines.
Execution: If price falls to the 0.618 line and you see an "RSI Buy" or MACD Green Triangle appear at that exact level, this is a high-probability entry.
5. The "Perfect Trade" Example
Putting it all together for maximum profit.
Context: The Dashboard says "MA Trend: Bullish."
Trigger: Price pulls back down and touches the 0.618 Fibonacci line.
Confirmation 1: Price is also touching the Lower Bollinger Band (acting as dynamic support).
Confirmation 2: An "RSI Buy" label appears on the candle.
Action: BUY.
Stop Loss: Place just below the 100% Fib line.
Take Profit: Sell half at the 0% Fib line (recent high) and let the rest ride.
