Negroni Opening Range StrategyStrategy Summary:
This tool can be used to help identify breakouts from a range during a time-zone of your choosing. It plots a pre-market range, an opening range, it also includes moving average levels that can be used as confluence, as well as plotting previous day SESSION highs and lows.
There are several options on how you wish to close out the trades, all described in more detail below.
Back-testing Inputs:
You define your timezone.
You define how many trades to open on any given day.
You decide to go: long only, short only, or long & short (CAREFUL: "Long & Short" can open trades that effectively closes-out existing ones, for better AND worse!)
You define between which times the strategy will open trades.
You define when it closes any open trades (preventing overnight trades, or leaving trades open into US data times!!).
This hopefully helps make back-testing reflect YOUR trading hours.
NOTE: Renko or Heikin-Ashi charts
For ALL strategies, don’t use Renko or Heikin-Ashi charts unless you know EXACTLY the implications.
Specific to my strategy, using a renko chart can make this 85-90% profitable (I wish it was!!) Although they can be useful, renko charts don’t always capture real wicks, so the renko chart may show your trade up-only but your broker (who is not using renko!!) will have likely stopped you out on a wick somewhere along the line.
NOTE: TradingView ‘Deep backtesting’
For ALL strategies, be cynical of all backtesting (e.g. repainting issues etc) as well as ‘Deep backtesting’ results.
Specific to this strategy, the default settings here SHOULD BE OK, but unfortunately at the time of writing, we can’t see on the chart what exactly ‘deep backtesting’ is calculating. In the past I have noted a number of trades that were not closed at the end of the day, despite my ‘end of day’ trade closing being enabled, so there were big winners and losers that would not have materialized otherwise. As I say, this seems ok at these settings but just always be cynical!!
Opening Range Inputs
You define a pre-market range (example: 08:00 - 09:00).
You define an opening range (example: 09:00 - 09:30).
The strategy will give an update at the close of the opening range to let you know if the opening range has broken out the pre-market range (OR Breakout), or if it has remained inside (OR Inside). The label appears at the end of the opening range NOT at the bar that ‘broke-out’.
This is just a visual cue for you, it has no bearing on what the strategy will do.
The strategy default will trade off the pre-market range, but you can untick this if you prefer to trade off the opening range.
Opening Trades:
Strategy goes long when the bar (CLOSE) crosses-over the ‘pre-market’ high (not the ‘opening range’ high); and the time is within your trading session, and you have not maxed out your number of trades for the day!
Strategy goes short when the bar (CLOSE) crosses-under the ‘pre-market’ low (not the ‘opening range low); and the time is within your trading session, and you have not maxed out your number of trades for the day!
Remember, you can untick this if you prefer to trade off the opening range instead.
NOTES:
Using momentum indicators can help (RSI and MACD): especially to trade range plays in failed breakouts, when momentum shifts… but the strategy won’t do this for you!
Using an anchored vwap at the session open can also provide nice confluence, as well as take-profit levels at the upper/lower of 3x standard deviation.
CLOSING TRADES:
You have 6 take-profit (TP) options:
1) Full TP: uses ATR Multiplier - Full TP at the ATR parameters as defined in inputs.
2) Take Partial profits: ATR Multiplier - Takes partial profits based on parameters as defined in inputs (i.e close 40% of original trade at TP1, close another 40% of original trade at TP2, then the remainder at Full TP as set in option 1.).
3) Full TP: Trailing Stop - Applies a Trailing Stop at the number of points, as defined in inputs.
4) Full TP: MA cross - Takes profit when price crosses ‘Trend MA’ as defined in inputs.
5) Scalp: Points - closes at a set number of points, as defined in inputs.
6) Full TP: PMKT Multiplier - places a SL at opposite pre-market Hi/Low (we go long at a break-out of the pre-market high, 50% would place a SL at the pre-market range mid-point; 100% would place a SL at the pre-market low)'. This takes profit at the input set in option 1).
Recherche dans les scripts pour "profit"
Candlestick Patterns detection and backtester [TrendX_]INTRODUCTION:
The Candlestick Patterns detection and backtester is designed to empower traders by identifying and analyzing candlestick patterns. Leveraging the robust Pine Script's add-in “All Candlestick Patterns”, this indicator meticulously scans the market for candlestick formations, offering insights into potential market movements. With its backtesting capabilities, we evaluate historical data to present traders with performance metrics such as win rates, net profit, and profit factors for each pattern. This allows traders to make informed decisions based on empirical evidence. The customizable settings, including trend filters and exit conditions, provide a tailored experience, adapting to various trading styles and strategies.
CREDIT:
This indicator is powered by the Pinescript add-in, *All Candlestick Patterns*, which provides a comprehensive library of candlestick formations.
TABLE USAGE:
The indicator features a detailed usage table that presents backtested results of all candlestick patterns. This includes:
Win Rates: The percentage of trades that resulted in a profit.
Net Profit: The total profit after subtracting losses from gains.
Profit Factor: A measure of the indicator’s profitability (gross profit / gross loss).
Total Trades: The total number of trades taken for every candlestick pattern's appearance.
CHART CANDLESTICK USAGE:
The indicator integrates candlestick pattern detections directly into the chart, displaying:
Pattern Detections: Each detected pattern is marked on the chart.
Win Rates: The win rate of each pattern is shown in brackets next to the detection.
CHART SETTINGS:
Users can customize the indicator with a variety of trend filters and settings:
Trend Filters: Apply filters based on SMA50, SMA200, Supertrend, and RSI threshold to refine pattern detections.
Exit Condition: Set an exit condition based on the crossing of a simple moving average of customizable length.
Visibility: Choose to show or hide the candlestick patterns’ detections on the chart.
2Mars - MA / BB / SuperTrend
The 2Mars strategy is a trading approach that aims to improve trading efficiency by incorporating several simple order opening tactics. These tactics include moving average crossovers, Bollinger Bands, and SuperTrend.
Entering a Position with the 2Mars Strategy:
Moving Average Crossover: This method considers the crossing of moving averages as a signal to enter a position.
Price Crossing Bollinger Bands: If the price crosses either the upper or lower Bollinger Band, it is seen as a signal to enter a position.
Price Crossing Moving Average: If the price crosses the moving average, it is also considered a signal to enter a position.
SuperTrend and Bars confirm:
The SuperTrend indicator is used to provide additional confirmation for entering positions and setting stop loss levels. "Bars confirm" is used only for entry to positions.
Moving Average Crossover Strategy:
A moving average crossover refers to the point on a chart where there is a crossover of the signal or fast moving average, above or below the basis or slow moving average. This strategy also uses moving averages for additional orders #3.
Basis Moving Average Length: Ratio * Multiplier
Signal Moving Average Length: Multiplier
Bollinger Bands:
Bollinger Bands consist of three bands: an upper band, a lower band, and a basis moving average. However, the 2Mars strategy incorporates multiple upper and lower levels for position entry and take profit.
Basis +/- StdDev * 0.618
Basis +/- StdDev * 1.618
Basis +/- StdDev * 2.618
Additional Orders:
Additional Order #1 and #2: closing price crosses above or below the Bollinger Bands.
Additional Order #3: closing price crosses above or below the basis or signal moving average.
Take Profit:
The strategy includes three levels for taking profits, which are based on the Bollinger Bands. Additionally, a percentage of the position can be chosen to close long or short positions.
Limit Orders:
The strategy allows for entering a position using a limit order. The calculation for the limit order involves the Average True Range (ATR) for a specific period.
For long positions: Low price - ATR * Multiplier
For short positions: High price + ATR * Multiplier
Stop Loss:
To manage risk, the strategy recommends using stop loss options. The stop loss is updated with each entry order and take-profit level 3. When using the SuperTrend Confirmation, the stop loss requires confirmation of a trend change. It allows for flexible adjustment of the stop loss when the trend changes.
There are three options for setting the stop loss:
1. ATR (Average True Range):
For long positions: Low price - ATR * Long multiplier
For short positions: High price + ATR * Short multiplier
2. SuperTrend + ATR:
For long positions: SuperTrend - ATR * Long multiplier
For short positions: SuperTrend + ATR * Short multiplier
3. StdDev:
For long positions: StdDev - ATR * Long multiplier
For short positions: StdDev + ATR * Short multiplier
Flexible Stop Loss:
There is also a flexible stop loss option for the ATR and StdDev methods. It is triggered when the SuperTrend or moving average trend changes unfavorably.
For long positions: Stop-loss price + (ATR * Long multiplier) * Multiplier
For short positions: Stop-loss price - (ATR * Short multiplier) * Multiplier
How configure:
Disable SuperTrend, take profit, stop loss, additional orders and begin setting up a strategy.
Pick soucre data
Number of bars for confirm
Pick up the ratio of the base moving average and the signal moving average.
Set up a SuperTrend
Time for set up of the Bollinger Bands and the take profit
And finaly set up of stop loss and limit orders
All done!
For OKX exchange:
Trend Confirmation StrategyThe profitability and uniqueness of a trading strategy depend on various factors including market conditions, risk management, and the strategy's ability to capitalize on price movements. I'll describe the strategy provided and highlight its potential benefits and differences compared to other strategies:
Strategy Overview:
The provided strategy combines three technical indicators: Supertrend, MACD, and VWAP. It aims to identify potential entry and exit points by confirming trend direction and considering the proximity to the VWAP level. The strategy also incorporates stop-loss and take-profit mechanisms, as well as a trailing stop.
Unique Aspects and Potential Benefits:
Trend Confirmation: The strategy uses both Supertrend and MACD to confirm the trend direction. This dual confirmation can increase the likelihood of accurate trend identification and filter out false signals.
VWAP Confirmation: The strategy considers the proximity of the price to the VWAP level. This dynamic level can act as a support or resistance and provide additional context for entry decisions.
Adaptive Stop Loss: The strategy sets a stop-loss range, which helps provide some tolerance for minor price fluctuations. This adaptive approach considers market volatility and helps prevent premature stop-loss triggers.
Trailing Stop: The strategy incorporates a trailing stop mechanism to lock in profits as the trade moves in the desired direction. This can potentially enhance profitability during strong trends.
Partial Profit Booking: While not explicitly implemented in the provided code, you could consider booking partial profits when the MACD shows a crossover in the opposite direction. This aspect could help secure gains while still keeping exposure to potential further price movements.
Key Differences from Other Strategies:
Dual Indicator Confirmation: The combination of Supertrend and MACD for trend confirmation is a unique aspect of this strategy. It adds an extra layer of filtering to enhance the accuracy of entry signals.
Dynamic VWAP: Incorporating the VWAP level into the decision-making process adds a dynamic element to the strategy. VWAP is often used by institutional traders, and its inclusion can provide insights into the market sentiment.
Adaptive Stop Loss and Trailing: The strategy's use of an adaptive stop-loss range and a trailing stop can help manage risk and protect profits more effectively during changing market conditions.
Partial Profit Booking: The suggestion to consider partial profit booking upon MACD crossovers in the opposite direction is a practical approach to secure gains while staying in the trade.
Caution and Considerations:
Backtesting: Before deploying any strategy in real trading, it's crucial to thoroughly backtest it on historical data to understand its performance under various market conditions.
Risk Management: While the strategy has built-in risk management mechanisms, it's essential to carefully manage position sizes and overall portfolio risk.
Market Conditions: No strategy works well in all market conditions. It's important to be flexible and adjust the strategy or refrain from trading during particularly volatile or unpredictable periods.
Continuous Monitoring: Even though the strategy includes automated components, continuous monitoring of the trades and market conditions is necessary.
Adaptability: Markets can change over time. Traders need to be prepared to adapt the strategy as necessary to stay aligned with evolving market dynamics.
Tri-State SupertrendTri-State Supertrend: Buy, Sell, Range
( Credits: Based on "Pivot Point Supertrend" by LonesomeTheBlue.)
Tri-State Supertrend incorporates a range filter into a supertrend algorithm.
So in addition to the Buy and Sell states, we now also have a Range state.
This avoids the typical "whipsaw" problem: During a range, a standard supertrend algorithm will fire Buy and Sell signals in rapid succession. These signals are all false signals as they lead to losing positions when acted on.
In this case, a tri-state supertrend will go into Range mode and stay in this mode until price exits the range and a new trend begins.
I used Pivot Point Supertrend by LonesomeTheBlue as a starting point for this script because I believe LonesomeTheBlue's version is superior to the classic Supertrend algorithm.
This indicator has two additional parameters over Pivot Point Supertrend:
A flag to turn the range filter on or off
A range size threshold in percent
With that last parameter, you can define what a range is. The best value will depend on the asset you are trading.
Also, there are two new display options.
"Show (non-) trendline for ranges" - determines whether to draw the "trendline" inside of a range. Seeing as there is no trend in a range, this is usually just visual noise.
"Show suppressed signals" - allows you to see the Buy/Sell signals that were skipped by the range filter.
How to use Tri-State Supertrend in a strategy
You can use the Buy and Sell signals to enter positions as you would with a normal supertrend. Adding stop loss, trailing stop etc. is of course encouraged and very helpful. But what to do when the Range signal appears?
I currently run a strategy on LDO based on Tri-State Supertrend which appears to be profitable. (It will quite likely be open sourced at some point, but it is not released yet.)
In that strategy, I experimented with different actions being taken when the Range state is entered:
Continue: Just keep last position open during the range
Close: Close the last position when entering range
Reversal: During the range, execute the OPPOSITE of each signal (sell on "buy", buy on "sell")
In the backtest, it transpired that "Continue" was the most profitable option for this strategy.
How ranges are detected
The mechanism is pretty simple: During each Buy or Sell trend, we record price movement, specifically, the furthest move in the trend direction that was encountered (expressed as a percentage).
When a new signal is issued, the algorithm checks whether this value (for the last trend) is below the range size set by the user. If yes, we enter Range mode.
The same logic is used to exit Range mode. This check is performed on every bar in a range, so we can enter a buy or sell as early as possible.
I found that this simple logic works astonishingly well in practice.
Pros/cons of the range filter
A range filter is an incredibly useful addition to a supertrend and will most likely boost your profits.
You will see at most one false signal at the beginning of each range (because it takes a bit of time to detect the range); after that, no more false signals will appear over the range's entire duration. So this is a huge advantage.
There is essentially only one small price you have to pay:
When a range ends, the first Buy/Sell signal you get will be delayed over the regular supertrend's signal. This is, again, because the algorithm needs some time to detect that the range has ended. If you select a range size of, say, 1%, you will essentially lose 1% of profit in each range because of this delay.
In practice, it is very likely that the benefits of a range filter outweigh its cost. Ranges can last quite some time, equating to many false signals that the range filter will completely eliminate (all except for the first one, as explained above).
You have to do your own tests though :)
Slight Swing Momentum Strategy.Introduction:
The Swing Momentum Strategy is a quantitative trading strategy designed to capture mid-term opportunities in the financial markets by combining swing trading principles with momentum indicators. It utilizes a combination of technical indicators, including moving averages, crossover signals, and volume analysis, to generate buy and sell signals. The strategy aims to identify market trends and capitalize on price momentum for profit generation.
Highlights:
The strategy offers several key highlights that make it unique and potentially attractive to traders:
Swing Trading with Momentum: The strategy combines the principles of swing trading, which aim to capture short-to-medium-term price swings, with momentum indicators that help identify strong price trends and potential breakout opportunities.
Technical Indicator Optimization: The strategy utilizes a selection of optimized technical indicators, including moving averages and crossover signals, to filter out the noise and focus on high-probability trading setups. This optimization enhances the strategy's ability to identify favourable entry and exit points.
Risk Management: The strategy incorporates risk management techniques, such as position sizing based on equity and dynamic stop loss levels, to manage risk exposure and protect capital. This helps to minimize drawdowns and preserve profits.
Buy Condition:
The buy condition in the strategy is determined by a combination of factors, including A1, A2, A3, XG, and weeklySlope. Let's break it down:
A1 Condition: The A1 condition checks for specific price relationships. It verifies that the ratio of the highest price to the closing price is less than 1.03, the ratio of the opening price to the lowest price is less than 1.03, and the ratio of the highest price to the previous day's closing price is greater than 1.06. This condition looks for a specific pattern indicating potential bullish momentum.
A2 Condition: The A2 condition checks for price relationships related to the closing price. It verifies that the ratio of the closing price to the opening price is greater than 1.05 or that the ratio of the closing price to the previous day's closing price is greater than 1.05. This condition looks for signs of upward price movement and momentum.
A3 Condition: The A3 condition focuses on volume. It checks if the current volume crosses above the highest volume over the last 60 periods. This condition aims to identify increased buying interest and potentially confirms the strength of the potential upward price movement.
XG Condition: The XG condition combines the A1 and A2 conditions and checks if they are true for both the current and previous bars. It also verifies that the ratio of the closing price to the 5-period EMA crosses above the 9-period SMA of the same ratio. This condition helps identify potential buy signals when multiple factors align, indicating a strong bullish momentum and potential entry point.
Weekly Trend Factor: The weekly slope condition calculates the slope of the 50-period SMA over a weekly timeframe. It checks if the slope is positive, indicating an overall upward trend on a weekly basis. This condition provides additional confirmation that the stock is in an upward trend.
When all of these conditions align, the buy condition is triggered, indicating a favourable time to enter a long position.
Sell Condition:
The sell condition is relatively straightforward in the strategy:
Sell Signal: The sell condition simply checks if the closing price crosses below the 10-period EMA. When this condition is met, it indicates a potential reversal or weakening of the upward price momentum, and a sell signal is generated.
Backtest Outcome:
The strategy was backtested over the period from January 22nd, 1999 to May 3rd, 2023, using daily candlestick charts for the NASDAQ: NVDA. The strategy used an initial capital of 1,000,000 USD, The order quantity is defined as 10% of the equity. The strategy allows for pyramiding with 1 order, and the transaction fee is set at 0.03% per trade. Here are the key outcomes of the backtest:
Net Profit: 539,595.84 USD, representing a return of 53.96%.
Percent Profitable: 48.82%
Total Closed Trades: 127
Profit Factor: 2.331
Max Drawdown: 68,422.70 USD
Average Trade: 4,248.79 USD
Average Number of Bars in Trades: 11, indicating the average duration of the trades.
Conclusion:
In conclusion, the Swing Momentum Strategy is a quantitative trading approach that combines swing trading principles with momentum indicators to identify and capture mid term trading opportunities. The strategy has demonstrated promising results during backtesting, including a significant net profit and a favourable profit factor.
The Flash-Strategy (Momentum-RSI, EMA-crossover, ATR)The Flash-Strategy (Momentum-RSI, EMA-crossover, ATR)
Are you tired of manually analyzing charts and trying to find profitable trading opportunities? Look no further! Our algorithmic trading strategy, "Flash," is here to simplify your trading process and maximize your profits.
Flash is an advanced trading algorithm that combines three powerful indicators to generate highly selective and accurate trading signals. The Momentum-RSI, Super-Trend Analysis and EMA-Strategy indicators are used to identify the strength and direction of the underlying trend.
The Momentum-RSI signals the strength of the trend and only generates trading signals in confirmed upward or downward trends. The Super-Trend Analysis confirms the trend direction and generates signals when the price breaks through the super-trend line. The EMA-Strategy is used as a qualifier for the generation of trading signals, where buy signals are generated when the EMA crosses relevant trend lines.
Flash is highly selective, as it only generates trading signals when all three indicators align. This ensures that only the highest probability trades are taken, resulting in maximum profits.
Our trading strategy also comes with two profit management options. Option 1 uses the so-called supertrend-indicator which uses the dynamic ATR as a key input, while option 2 applies pre-defined, fixed SL and TP levels.
The settings for each indicator can be customized, allowing you to adjust the length, limit value, factor, and source value to suit your preferences. You can also set the time period in which you want to run the backtest and how many dollar trades you want to open in each position for fully automated trading.
Choose your preferred trade direction and stop-loss/take-profit settings, and let Flash do the rest. Say goodbye to manual chart analysis and hello to consistent profits with Flash. Try it now!
General Comments
This Flash Strategy has been developed in cooperation between Baby_whale_to_moon and JS-TechTrading. Cudos to Baby_whale_to_moon for doing a great job in transforming sophisticated trading ideas into pine scripts.
Detailed Description
The “Flash” script considers the following indicators for the generation of trading signals:
1. Momentum-RSI
2. ‘Super-Trend’-Analysis
3. EMA-Strategy
1. Momentum-RSI
• This indicator signals the strength of the underlying upward- or downward-trend.
• The signal range of this indicator is from 0 to 100. Values > 60 indicate a confirmed upward- or downward-trend.
• The strategy will only generate trading signals in case the stock (or any other financial security) is in a confirmed upward- (long entry signals) or downward-trend (short entry signals).
• This indicator provides information with regards to the strength of the underlying trend and it does not give any insight with regard to the direction of the trend. Therefore, this strategy also considers other indicators which provide technical confirmation with regards to the direction of the underlying trend.
Graph 1 shows this concept:
• The Momentum-RSI indicator gives lower readings during consolidation phases and no trading signals are generated during these periods.
Example (graph 2):
2. Super-Trend Analysis
• The red line in the graph below represents the so-called super-trend-line. Trading signals are only generated in case the price action breaks through this super-trend-line indicating a new confirmed upward-trend (or downward-trend, respectively).
• If that happens, the super trend-line changes its color from red to green, giving confirmation that the trend changed from bearish to bullish and long-entries can be considered.
• The vice-versa approach can be considered for short entries.
Graph 3 explains this concept:
3. Exponential Moving Average / EMA-Strategy
The functionality of this EMA-element of the strategy has been programmed as follows:
• The exponential moving average and two other trend lines are being used as qualifiers for the generation of trading-signals.
• Buy-signals for long-entries are only considered in case the EMA (yellow line in the graph below) crosses the red line.
• Sell-signals for short-entries are only considered in case the EMA (yellow line in the graph below) crosses the green line.
An example is shown in graph 4 below:
We use this indicator to determine the new trend direction that may occur by using the data of the price's past movement.
4. Bringing it all together
This section describes in detail, how this strategy combines the Momentum-RSI, the super-trend analysis and the EMA-strategy.
The strategy only generates trading-signals in case all of the following conditions and qualifiers are being met:
1. Momentum-RSI is higher than the set value of this strategy. The standard and recommended value is 60 (graph 5):
2. The super-trend analysis needs to indicate a confirmed upward-trend (for long-entry signals) or a confirmed downward-trend (for short-entry signals), respectively.
3. The EMA-strategy needs to indicate that the stock or financial security is in a confirmed upward-trend (long-entries) or downward-trend (short-entries), respectively.
The strategy will only generate trading signals if all three qualifiers are being met. This makes this strategy highly selective and is the key secret for its success.
Example for Long-Entry (graph 6):
When these conditions are met, our Long position is opened.
Example for Short-Entry (graph 7):
Trade Management Options (graph 8)
Option 1
In this dynamic version, the so-called supertrend-indicator is being used for the trade exit management. This supertrend-indicator is a sophisticated and optimized methodology which uses the dynamic ATR as one of its key input parameters.
The following settings of the supertrend-indicator can be changed and optimized (graph 9):
The dynamic SL/TP-lines of the supertrend-indicator are shown in the charts. The ATR-length and the supertrend-factor result in a multiplier value which can be used to fine-tune and optimize this strategy based on the financial security, timeframe and overall market environment.
Option 2 (graph 10):
Option 2 applies pre-defined, fixed SL and TP levels which will appear as straight horizontal lines in the chart.
Settings options (graph 11):
The following settings can be changed for the three elements of this strategy:
1. (Length Mom-Rsi): Length of our Mom-RSI indicator.
2. Mom-RSI Limit Val: the higher this number, the more momentum of the underlying trend is required before the strategy will start creating trading signals.
3. The length and factor values of the super trend indicator can be adjusted:ATR Length SuperTrend and Factor Super Trend
4. You can set the source value used by the ema trend indicator to determine the ema line: Source Ema Ind
5. You can set the EMA length and the percentage value to follow the price: Length Ema Ind and Percent Ema Ind
6. The backtesting period can be adjusted: Start and End time of BackTest
7. Dollar cost per position: this is relevant for 100% fully automated trading.
8. Trade direction can be adjusted: LONG, SHORT or BOTH
9. As we explained above, we can determine our stop-loss and take-profit levels dynamically or statically. (Version 1 or Version 2 )
Display options on the charts graph 12):
1. Show horizontal lines for the Stop-Loss and Take-profit levels on the charts.
2. Display relevant Trend Lines, including color setting options for the supertrend functionality. In the example below, green lines indicate a confirmed uptrend, red lines indicate a confirmed downtrend.
Other comments
• This indicator has been optimized to be applied for 1 hour-charts. However, the underlying principles of this strategy are supply and demand in the financial markets and the strategy can be applied to all timeframes. Daytraders can use the 1min- or 5min charts, swing-traders can use the daily charts.
• This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
• The combination of the qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
• Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security.
Channels Strategy [JoseMetal]============
ENGLISH
============
- Description:
This strategy is based on Bollinger Bands / Keltner Channel price "rebounds" (the idea of price bouncing from one band to another).
The strategy has several customizable options, which allows you to refine the strategy for your asset and timeframe.
You can customize settings for ALL indicators, Bollinger Bands (period and standard deviation), Keltner Channel (period and ATR multiplier) and ATR (period).
- AVAILABLE INDICATORS:
You can pick Bollinger Bands or Keltner Channels for the strategy, the chosen indicator will be plotted as well.
- CUSTOM CONDITIONS TO ENTER A POSITION:
1. Price breaks the band (low below lower band for LONG or high above higher band for SHORT).
2. Same as 1 but THEN (next candle) price closes INSIDE the bands.
3. Price breaks the band AND CLOSES OUT of the band (lower band for LONG and higher band for SHORT).
4. Same as 3 but THEN (next candle) price closes INSIDE the bands.
- STOP LOSS OPTIONS:
1. Previous wick (low of previous candle if LONG and high or previous candle if SHORT).
2. Extended band, you can customize settings for a second indicator with larger values to use it as STOP LOSS, for example, Bollinger Bands with 2 standard deviations to open positions and 3 for STOP LOSS.
3. ATR: you can pick average true ratio from a source (like closing price) with a multiplier to calculate STOP LOSS.
- TAKE PROFIT OPTIONS:
1. Opposite band (top band for LONGs, bottom band for SHORTs).
2. Moving average: Bollinger Bands simple moving average or Keltner Channel exponential moving average .
3. ATR: you can pick average true ratio from a source (like closing price) with a multiplier to calculate TAKE PROFIT.
- OTHER OPTIONS:
You can pick to trade only LONGs, only SHORTs, both or none (just indicator).
You can enable DYNAMIC TAKE PROFIT, which updates TAKE PROFIT on each candle, for example, if you pick "opposite band" as TAKE PROFIT, it'll update the TAKE PROFIT based on that, on every single new candle.
- Visual:
Bands shown will depend on the chosen indicator and it's settings.
ATR is only printed if used as STOP LOSS and/or TAKE PROFIT.
- Recommendations:
Recommended on DAILY timeframe , it works better with Keltner Channels rather than Bollinger Bands .
- Customization:
As you can see, almost everything is customizable, for colors and plotting styles check the "Style" tab.
Enjoy!
============
ESPAÑOL
============
- Descripción:
Esta estrategia se basa en los "rebotes" de precios en las Bandas de Bollinger / Canal de Keltner (la idea de que el precio rebote de una banda a otra).
La estrategia tiene varias opciones personalizables, lo que le permite refinar la estrategia para su activo y temporalidad favoritas.
Puedes personalizar la configuración de TODOS los indicadores, Bandas de Bollinger (periodo y desviación estándar), Canal de Keltner (periodo y multiplicador ATR) y ATR (periodo).
- INDICADORES DISPONIBLES:
Puedes elegir las Bandas de Bollinger o los Canales de Keltner para la estrategia, el indicador elegido será mostrado en pantalla.
- CONDICIONES PERSONALIZADAS PARA ENTRAR EN UNA POSICIÓN:
1. El precio rompe la banda (mínimo por debajo de la banda inferior para LONG o máximo por encima de la banda superior para SHORT).
2. Lo mismo que en el punto 1 pero ADEMÁS (en la siguiente vela) el precio cierra DENTRO de las bandas.
3. El precio rompe la banda Y CIERRA FUERA de la banda (banda inferior para LONG y banda superior para SHORT).
4. Igual que el 3 pero ADEMÁS (siguiente vela) el precio cierra DENTRO de las bandas.
- OPCIONES DE STOP LOSS:
1. Mecha anterior (mínimo de la vela anterior si es LONGy máximo de la vela anterior si es SHORT).
2. Banda extendida, puedes personalizar la configuración de un segundo indicador con valores más extensos para utilizarlo como STOP LOSS, por ejemplo, Bandas de Bollinger con 2 desviaciones estándar para abrir posiciones y 3 para STOP LOSS.
3. ATR: puedes elegir el average true ratio de una fuente (como el precio de cierre) con un multiplicador para calcular el STOP LOSS.
- OPCIONES DE TAKE PROFIT:
1. Banda opuesta (banda superior para LONGs, banda inferior para SHORTs).
2. Media móvil: media móvil simple de las Bandas de Bollinger o media móvil exponencial del Canal de Keltner .
3. ATR: se puede escoger el average true ratio de una fuente (como el precio de cierre) con un multiplicador para calcular el TAKE PROFIT.
- OTRAS OPCIONES:
Puedes elegir operar sólo con LONGs, sólo con SHORTs, ambos o ninguno (sólo el indicador).
Puedes activar el TAKE PROFIT DINÁMICO, que actualiza el TAKE PROFIT en cada vela, por ejemplo, si eliges "banda opuesta" como TAKE PROFIT, actualizará el TAKE PROFIT basado en eso, en cada nueva vela.
- Visual:
Las bandas mostradas dependerán del indicador elegido y de su configuración.
El ATR sólo se muestra si se utiliza como STOP LOSS y/o TAKE PROFIT.
- Recomendaciones:
Recomendada para temporalidad de DIARIO, funciona mejor con los Canales de Keltner que con las Bandas de Bollinger .
- Personalización:
Como puedes ver, casi todo es personalizable, para los colores y estilos de dibujo comprueba la pestaña "Estilo".
¡Que lo disfrutes!
PIVOT STRATEGY [INDIAN MARKET TIMING]
A Back-tested Profitable Strategy for Free!!
A PIVOT INTRADAY STRATEGY for 5 minute Time-Frame , that also explains the time condition for Indian Markets
The Timing can be changed to fit other markets, scroll down to "TIME CONDITION" to know more.
The commission is also included in the strategy .
The basic idea is when ,
1) Price crosses above ema1 ,indicated by pivot highest line in green color .
2) Price crosses below ema1 ,indicated by pivot lowest line in red color .
3) Candle high crosses above pivot highest , is the Long condition .
4) Candle low crosses below pivot lowest , is the Short condition .
5) Maximum Risk per trade for the intraday trade can be changed .
6) Default_qty_size is set to 60 contracts , which can be changed under settings → properties → order size .
7) ATR is used for trailing after entry, as mentioned in the inputs below.
// ═════════════════════════//
// ————————> INPUTS <————————— //
// ═════════════════════════//
Leftbars —————> Length of pivot highs and lows
Rightbars —————> Length of pivot highs and lows
Price Cross Ema —————> Added condition
ATR LONG —————> ATR stoploss trail for Long positions
ATR SHORT —————> ATR stoploss trail for Short positions
RISK —————> Maximum Risk per trade for the day
The strategy was back-tested on RELIANCE ,the input values and the results are mentioned under "BACKTEST RESULTS" below .
// ═════════════════════════ //
// ————————> PROPERTIES<——————— //
// ═════════════════════════ //
Default_qty_size ————> 60 contracts , which can be changed under settings
↓
properties
↓
order size
// ═══════════════════════════════//
// ————————> TIME CONDITION <————————— //
// ═══════════════════════════════//
The time can be changed in the script , Add it → click on ' { } ' → Pine editor→ making it a copy [right top corner} → Edit the line 25 .
The Indian Markets open at 9:15am and closes at 3:30pm .
The 'time_cond' specifies the time at which Entries should happen .
"Close All" function closes all the trades at 3pm, at the open of the next candle.
To change the time to close all trades , Go to Pine Editor → Edit the line 103 .
All open trades get closed at 3pm , because some brokers don't allow you to place fresh intraday orders after 3pm .
NSE:RELIANCE
// ═══════════════════════════════════════════════ //
// ————————> BACKTEST RESULTS ( 128 CLOSED TRADES )<————————— //
// ═══════════════════════════════════════════════ //
INPUTS can be changed for better back-test results.
The strategy applied to NIFTY ( 5 min Time-Frame and contract size 60 ) gives us 60% profitability y , as shown below
It was tested for a period a 6 months with a Profit Factor of 1.45 ,net Profit of 21,500Rs profit .
Sharpe Ratio : 0.311
Sortino Ratio : 0.727
The graph has a Linear Curve with consistent profits .
The INPUTS are as follows,
1) Leftbars ————————> 3
2) Rightbars ————————> 5
3) Price Cross Ema ——————> 150
4) ATR LONG ————————> 2.7
5) ATR SHORT ———————> 2.9
6) RISK —————————> 2500
7) Default qty size ——————> 60
NSE:RELIANCE
Save it to favorites.
Apply it to your charts Now !!
↓
FOLLOW US FOR MORE !
Thank me later ;)
Short Swing Bearish MACD Cross (By Coinrule)This strategy is oriented towards shorting during downside moves, whilst ensuring the asset is trading in a higher timeframe downtrend, and exiting after further downside.
This script can work well on coins you are planning to hodl for long-term and works especially well whilst using an automated bot that can execute your trades for you. It allows you to hedge your investment by allocating a % of your coins to trade with, whilst not risking your entire holding. This mitigates unrealised losses from hodling as it provides additional cash from the profits made. You can then choose to hodl this cash, or use it to reinvest when the market reaches attractive buying levels. Alternatively, you can use this when trading contracts on futures markets where there is no need to already own the underlying asset prior to shorting it.
ENTRY
This script utilises the MACD indicator accompanied by the Exponential Moving Average (EMA) 450 to enter trades. The MACD is a trend following momentum indicator and provides identification of short-term trend direction. In this variation it utilises the 11-period as the fast and 26-period as the slow length EMAs, with signal smoothing set at 9.
The EMA 450 is used as additional confirmation to prevent the script from shorting when price is above this long-term moving average. Once price is above the EMA 450 the script will not open any shorts - preventing the rule from attempting to short uptrends. Due to this, this strategy is ideal for setting and forgetting.
The script will enter trades based on two conditions:
1) When the MACD signals a bearish cross. This occurs when the EMA 11 crosses below the EMA 26 within the MACD signalling the start of a potential downtrend.
2) Price has closed below the EMA 450. Price closing below this long-term EMA signals that the asset is in a sustained downtrend. Price breaking above this could indicate a bullish strength in which shorting would not be profitable.
EXIT
This script utilises a set take-profit and stop-loss from the entry of the trade. The take profit is set at 8% and the stop loss of 4%, providing a risk reward ratio of 2. This indicates the script will be profitable if it has a win ratio greater than 33%.
Take-Profit Exit: -8% price decrease from entry price.
OR
Stop-Loss Exit: +4% price increase from entry price.
Based on backtesting results across a selection of assets, the 45-minute and 1-hour timeframes are the best for this strategy.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
The backtesting data was recorded from December 1st 2021, just as the market was beginning its downtrend. We therefore recommend analysing the market conditions prior to utilising this strategy as it operates best on weak coins during downtrends and bearish conditions, however the EMA 450 condition should mitigate entries during bullish market conditions.
Portfolio Backtester Engine█ OVERVIEW
Portfolio Backtester Engine (PBTE). This tool will allow you to backtest strategies across multiple securities at once. Allowing you to easier understand if your strategy is robust. If you are familiar with the PineCoders backtesting engine , then you will find this indicator pleasant to work with as it is an adaptation based on that work. Much of the functionality has been kept the same, or enhanced, with some minor adjustments I made on the account of creating a more subjectively intuitive tool.
█ HISTORY
The original purpose of the backtesting engine (`BTE`) was to bridge the gap between strategies and studies . Previously, strategies did not contain the ability to send alerts, but were necessary for backtesting. Studies on the other hand were necessary for sending alerts, but could not provide backtesting results . Often, traders would have to manage two separate Pine scripts to take advantage of each feature, this was less than ideal.
The `BTE` published by PineCoders offered a solution to this issue by generating backtesting results under the context of a study(). This allowed traders to backtest their strategy and simultaneously generate alerts for automated trading, thus eliminating the need for a separate strategy() script (though, even converting the engine to a strategy was made simple by the PineCoders!).
Fast forward a couple years and PineScript evolved beyond these issues and alerts were introduced into strategies. The BTE was not quite as necessary anymore, but is still extremely useful as it contains extra features and data not found under the strategy() context. Below is an excerpt of features contained by the BTE:
"""
More than `40` built-in strategies,
Customizable components,
Coupling with your own external indicator,
Simple conversion from Study to Strategy modes,
Post-Exit analysis to search for alternate trade outcomes,
Use of the Data Window to show detailed bar by bar trade information and global statistics, including some not provided by TV backtesting,
Plotting of reminders and generation of alerts on in-trade events.
"""
Before I go any further, I want to be clear that the BTE is STILL a good tool and it is STILL very useful. The Portfolio Backtesting Engine I am introducing is only a tangental advancement and not to be confused as a replacement, this tool would not have been possible without the `BTE`.
█ THE PROBLEM
Most strategies built in Pine are limited by one thing. Data. Backtesting should be a rigorous process and researchers should examine the performance of their strategy across all market regimes; that includes, bullish and bearish markets, ranging markets, low volatility and high volatility. Depending on your TV subscription The Pine Engine is limited to 5k-20k historical bars available for backtesting, which can often leave the strategy results wanting. As a general rule of thumb, strategies should be tested across a quantity of historical bars which will allow for at least 100 trades. In many cases, the lack of historical bars available for backtesting and frequency of the strategy signals produces less than 100 trades, rendering your strategy results inconclusive.
█ THE SOLUTION
In order to be confident that we have a robust strategy we must test it across all market regimes and we must have over 100 trades. To do this effectively, researchers can use the Portfolio Backtesting Engine (PBTE).
By testing a strategy across a carefully selected portfolio of securities, researchers can now gather 5k-20k historical bars per security! Currently, the PTBE allows up to 5 securities, which amounts to 25k-100k historical bars.
█ HOW TO USE
1 — Add the indicator to your chart.
• Confirm inputs. These will be the most important initial values which you can change later by clicking the gear icon ⚙ and opening up the settings of the indicator.
2 — Select a portfolio.
• You will want to spend some time carefully selecting a portfolio of securities.
• Each security should be uncorrelated.
• The entire portfolio should contain a mix of different market regimes.
You should understand that strategies generally take advantage of one particular type of market regime. (trending, ranging, low/high volatility)
For example, the default RSI strategy is typically advantageous during ranging markets, whereas a typical moving average crossover strategy is advantageous in trending markets.
If you were to use the standard RSI strategy during a trending market, you might be selling when you should be buying.
Similarily, if you use an SMA crossover during a ranging market, you will find that the MA's may produce many false signals.
Even if you build a strategy that is designed to be used only in a trending market, it is still best to select a portfolio of all market regimes
as you will be able to test how your strategy will perform when the market does something unexpected.
3 — Test a built-in strategy or add your own.
• Navigate to gear icon ⚙ (settings) of strategy.
• Choose your options.
• Select a Main Entry Strat and Alternate Entry Strat .
• If you want to add your own strategy, you will need to modify the source code and follow the built-in example.
• You will only need to generate (buy 1 / sell -1/ neutral 0) signals.
• Select a Filter , by default these are all off.
• Select an Entry Stop - This will be your stop loss placed at the trade entry.
• Select Pyamiding - This will allow you to stack positions. By default this is off.
• Select Hard Exits - You can also think of these as Take Profits.
• Let the strategy run and take note of the display tables results.
• Portfolio - Shows each security.
• The strategy runs on each asset in your portfolio.
• The initial capital is equally distributed across each security.
So if you have 5 securities and a starting capital of 100,000$ then each security will run the strategy starting with 20,000$
The total row will aggregate the results on a bar by bar basis showing the total results of your initial capital.
• Net Profit (NP) - Shows profitability.
• Number of Trades (#T) - Shows # of trades taken during backtesting period.
• Typically will want to see this number greater than 100 on the "Total" row.
• Average Trade Length (ATL) - Shows average # of days in a trade.
• Maximum Drawdown (MD ) - Max peak-to-valley equity drawdown during backtesting period.
• This number defines the minimum amount of capital required to trade the system.
• Typically, this shouldn’t be lower than 34% and we will want to allow for at least 50% beyond this number.
• Maximum Loss (ML) - Shows largest loss experienced on a per-trade basis.
• Normally, don’t want to exceed more than 1-2 % of equity.
• Maximum Drawdown Duration (MDD) - The longest duration of a drawdown in equity prior to a new equity peak.
• This number is important to help us psychologically understand how long we can expect to wait for a new peak in account equity.
• Maximum Consecutive Losses (MCL) - The max consecutive losses endured throughout the backtesting period.
• Another important metric for trader psychology, this will help you understand how many losses you should be prepared to handle.
• Profit to Maximum Drawdown (P:MD) - A ratio for the average profit to the maximum drawdown.
• The higher the ratio is, the better. Large profits and small losses contribute to a good PMD.
• This metric allows us to examine the profit with respect to risk.
• Profit Loss Ratio (P:L) - Average profit over the average loss.
• Typically this number should be higher in trend following systems.
• Mean reversion systems show lower values, but compensate with a better win %.
• Percent Winners (% W) - The percentage of winning trades.
• Trend systems will usually have lower win percentages, since statistically the market is only trending roughly 30% of the time.
• Mean reversion systems typically should have a high % W.
• Time Percentage (Time %) - The amount of time that the system has an open position.
• The more time you are in the market, the more you are exposed to market risk, not to mention you could be using that money for something else right?
• Return on Investment (ROI) - Your Net Profit over your initial investment, represented as a percentage.
• You want this number to be positive and high.
• Open Profit (OP) - If the strategy has any open positions, the floating value will be represented here.
• Trading Days (TD) - An important metric showing how many days the strategy was active.
• This is good to know and will be valuable in understanding how long you will need to run this strategy in order to achieve results.
█ FEATURES
These are additional features that extend the original `BTE` features.
- Portfolio backtesting.
- Color coded performance results.
- Circuit Breakers that will stop trading.
- Position reversals on exit. (Simulating the function of always in the market. Similar to strategy.entry functionality)
- Whipsaw Filter
- Moving Average Filter
- Minimum Change Filter
- % Gain Equity Exit
- Popular strategies, (MACD, MA cross, supertrend)
Below are features that were excluded from the original `BTE`
- 2 stage in-trade stops with kick-in rules (This was a subjective decision to remove. I found it to be complex and thwarted my use of the `BTE` for some time.)
- Simple conversion from Study to Strategy modes. (Not possible with multiple securities)
- Coupling with your own external indicator (Not really practical to use with multiple securities, but could be used if signals were generated based on some indicator which was not based on the current chart)
- Use of the Data Window to show detailed bar by bar trade information and global statistics.
- Post Exit Analysis.
- Plotting of reminders and generation of alerts on in-trade events.
- Alerts (These may be added in the future by request when I find the time.)
█ THANKS
The whole PineCoders team for all their shared knowledge and original publication of the BTE and Richard Weismann for his ideas on building robust strategies.
═════════════════════════════════════════════════════════════════════════
Scalping Dips On Trend (by Coinrule)Coinrule's Community is an excellent source of inspiration for our trading strategies.
In these months of Bull Market, our traders opted mostly on buy-the-dips strategies, which resulted in great returns recently. But there has been an element that turned out to be the cause for deep division among the Community.
Is it advisable or not to use a stop-loss during a Bull Market?
This strategy comes with a large stop-loss to offer a safer alternative for those that are not used to trade with a downside protection.
Entry
The strategy buys only when the price is above the Moving Average 50 , making it less risky to buy the dip, which is set to 2%.
The preferred time frame is 1-hour.
The stop-loss is set to be quite loose to increase the chances of closing the trade in profit, yet protecting from unexpected larger drawdowns that could undermine the allocation's liquidity.
Exit
Stop loss: 10%
Take Profit: 3%
In times of Bull Market, such a trading system has a very high percentage of trades closed in profit (ranging between 70% to 80%), which makes it still overall profitable to have a stop-loss three times larger than the take profit.
Pro tip: use a larger stop-loss only when you expect to close in profit most of the trades!
The strategy assumes each order to trade 30% of the available capital and opens a trade at a time. A trading fee of 0.1% is taken into account.
Pinescript v4 - The Holy Grail (Trailing Stop)After studying several other scripts, I believe I have found the Holy Grail! (Or perhaps I've just found a bug with Tradingview's Pinescript v4 language) Anyhow, I'm publishing this script in the hope that someone smarter than myself could shed some light on the fact that adding a trailing stop to any strategy seems to make it miraculously...no that's an understatement...incredulously, stupendously, mind-bendingly profitable. I'm talking about INSANE profit factors, higher than 200x, with drawdowns of <10%. Sounds too good to be true? Maybe it is...or you could hook it up to your LIVE broker, and pray it doesn't explode. This is an upgraded version of my original Pin Bar Strategy.
Recommended Chart Settings:
Asset Class: Forex
Time Frame: H1
Long Entry Conditions:
a) Exponential Moving Average Fan up trend
b) Presence of a Bullish Pin Bar
c) Pin Bar pierces the Exponential Moving Average Fan
Short Entry Conditions:
a) Exponential Moving Average down trend
b) Presence of a Bearish Pin Bar
c) Pin Bar pierces the Exponential Moving Average Fan
Exit Conditions:
a) Trailing stop is hit
b) Moving Averages cross-back (optional)
c) It's the weekend
Default Robot Settings:
Equity Risk (%): 3 //how much account balance to risk per trade
Stop Loss (x*ATR, Float): 0.5 //stoploss = x * ATR, you can change x
Stop Loss Trail Points (Pips): 1 //the magic sauce, not sure how this works
Stop Loss Trail Offset (Pips): 1 //the magic sauce, not sure how this works
Slow SMA (Period): 50 //slow moving average period
Medium EMA (Period): 18 //medium exponential moving average period
Fast EMA (Period): 6 //fast exponential moving average period
ATR (Period): 14 // average true range period
Cancel Entry After X Bars (Period): 3 //cancel the order after x bars not triggered, you can change x
Backtest Results (2019 to 2020, H1, Default Settings):
AUDUSD - 1604% profit, 239.6 profit factor, 4.9% drawdown (INSANE)
NZDUSD - 1688.7% profit, 100.3 profit factor, 2.5% drawdown
GBPUSD - 1168.8% profit, 98.7 profit factor, 0% drawdown
USDJPY - 900.7% profit, 93.7 profit factor, 4.9% drawdown
USDCAD - 819% profit, 31.7 profit factor, 8.1% drawdown
EURUSD - 685.6% profit, 26.8 profit factor, 5.9% drawdown
USDCHF - 1008% profit, 18.7 profit factor, 8.6% drawdown
GBPJPY - 1173.4% profit, 16.1 profit factor, 7.9% drawdown
EURAUD - 613.3% profit, 14.4 profit factor, 9.8% drawdown
AUDJPY - 1619% profit, 11.26 profit factor, 9.1% drawdown
EURJPY - 897.2% profit, 6 profit factor, 13.8% drawdown
EURGBP - 608.9% profit, 5.3 profit factor, 9.8% drawdown (NOT TOO SHABBY)
As you can clearly see above, this forex robot is projected by the Tradingview backtester to be INSANELY profitable for all common forex pairs. So what was the difference between this strategy and my previous strategies? Check my code and look for "trail_points" and "trail_offset"; you can even look them up in the PineScript v4 documentation. They specify a trailing stop as the exit condition, which automatically closes the trade if price reverses against you.
I however suspect that the backtester is not properly calculating intra-bar price movement, and is using a simplified model. With this simplfied approach, the trailing stop code becomes some sort of "holy grail" generator, making every trade entered profitable.
Risk Warning:
This is a forex trading strategy that involves high risk of equity loss, and backtest performance will not equal future results. You agree to use this script at your own risk.
Hint:
To get more realistic results, and *maybe* overcome the intrabar simulation error, change the settings to: "Stop Loss Trail Points (pips)": 100
I am not sure if this eradicates the bug, but the entries and exits look more proper, and the profit factors are more believable.
Low volatility Buy w/ TP & SL (Coinrule)The compression of volatility usually leads to expansion. When the breakout comes, it can ignite strong trends. One way to catch a coin trading in an accumulation area is to spot three moving averages with values close to each other. The strategy uses a combination of Moving Averages to spot the best time to buy a coin before its breakout.
Buy Condition
The MA200 is greater than the MA100
The MA50 is greater than the MA100
According to backtesting results, the 1-hour time frame is the best to run this strategy.
Sell Condition
Take Profit: the price increases 8% from the entry price
Stop Loss: the price drops 4% from the entry price
The strategy has a profitability of 40-60% (depending on the market conditions). Having a ratio of two between Take profit and Stop Loss helps keeping the strategy profitable in the long term.
Risk/Reward vs Win Rate HeatmapThis indicator overlays two decision-support tables on your main chart:
1. Reward:Risk vs Win Rate Heatmap
A matrix that shows whether a given combination of Win Rate (%) and Reward:Risk (R:R) is expected to be:
Profitable (green)
Break-even (amber)
Not Profitable (red)
The color is based on the standard expectancy concept:
E = p * R - (1 -p)
where p is win probability and R is Reward:Risk.
The diagonal amber cells represent the break-even boundary.
2. Drawdown Table
A quick reference table showing how much % gain is required to recover after a capital drawdown (e.g., -20% requires +25% to return to break-even). This is meant to anchor capital preservation and risk management decisions.
________________________________________
How to Use
Set your expected Win Rate and R:R in the inputs.
Enable Show highlight to display a status icon on the matching cell:
Profitable: 💰
Break-even: ⚠
Not profitable: 🚫
(All icons are customizable.)
Use the heatmap to sanity-check whether your strategy parameters make sense, and use the drawdown table as a reminder of why protecting capital matters.
________________________________________
Inputs & Customization
Position: Place each table anywhere on the chart (default layout provided).
Colors: Header colors and heatmap colors are customizable (defaults included).
Fonts: Title, headers, labels, legend, and icon font sizes are configurable.
Icons: Set your own symbols for Profitable / Break-even / Not profitable (with optional auto-contrast).
________________________________________
Notes
This script is educational and provides a visual framework to reason about expectancy and drawdowns.
It does not generate trade signals and does not guarantee profitability.
Results depend on the accuracy of your inputs and real-world execution (slippage, fees, market regime, etc.).
________________________________________
Disclaimer
This indicator is for educational purposes only and is not financial advice. You are responsible for any trading decisions and risk management.
EstongA* Bot Alerts ProV1*Here’s a consolidated list of warnings and advice for traders, whether you're just starting or are experienced:
⚠️ Critical Warnings
1. You can lose all your capital – Trading is not a get-rich-quick scheme. Never trade with money you can’t afford to lose.
2. Avoid leverage until you fully understand it – Leverage amplifies both gains and losses. Many traders get wiped out by over-leveraging.
3. Beware of "guaranteed profit" systems – If it sounds too good to be true, it is. No strategy works all the time.
4. Emotional trading is a career killer – Fear, greed, and revenge trading destroy accounts.
5. Don’t follow tips or "hot leads" blindly – Do your own analysis. Many influencers are secretly unloading positions onto followers.
📚 Essential Advice
Mindset & Psychology
• Treat trading like a business, not gambling. Have a plan for every trade.
• Develop patience – Wait for high-probability setups; don’t force trades.
• Accept losses as part of the game – Even the best traders have losing streaks. The key is risk management.
• Keep a trading journal – Record every trade: entry/exit reasoning, emotional state, outcome. Review weekly.
Risk Management (Non-Negotiable)
• Risk only 1-2% of your capital per trade – This protects you from ruin during a losing streak.
• Always use stop-losses – Decide your stop-loss BEFORE entering a trade.
• Never add to a losing position ("averaging down") – This is how small losses become catastrophes.
• Have a risk/reward ratio of at least 1:2 – Aim for potential profit to be at least double your potential loss.
Strategy & Education
• Master one market/strategy at a time – Don’t jump between forex, stocks, crypto, and options simultaneously.
• Backtest and forward-test any strategy before using real money.
• Understand market context – Are you in a trending or ranging market? Adjust your strategy accordingly.
• Continuously educate yourself – Markets evolve. Stay updated, but avoid constantly switching strategies.
Practical Habits
• Start with a demo account – Prove you can be consistently profitable before using real money.
• When moving to real money, start small – The psychology changes with real money on the line.
• Set trading hours and stick to them – Avoid overtrading and burnout.
• Regularly withdraw profits – Secure gains and reinforce the reality of your earnings.
🚨 Red Flags in Yourself
• Chasing losses – Trying to immediately recoup a loss leads to bigger losses.
• Overconfidence after wins – Leads to taking oversized, reckless trades.
• Ignoring your trading plan – If you’re making exceptions, you don’t have a plan.
• Blaming the market or others – You are responsible for every trade. Take ownership.
🔍 Choosing a Broker/Platform
• Regulation is crucial – Ensure they are licensed by a reputable authority (FCA, SEC, ASIC, etc.).
• Understand all fees – Spreads, commissions, overnight financing, withdrawal fees.
• Test customer support – You need them in a crisis.
• Start with a well-known, established broker – Avoid obscure platforms with offers that seem too good.
💡 Final Wisdom
• Preservation of capital is more important than making profits. Survive to trade another day.
• The market will always be there – Missing an opportunity is better than taking a bad trade.
• Trading is a marathon of consistency, not a sprint for mega-returns.
• If you're consistently losing, stop, step back, and re-evaluate. Sometimes the best trade is no trade.
Remember, approximately 90% of retail traders lose money. To be in the successful 10%, you need discipline, continuous learning, and emotional control more than a "perfect" strategy. Good luck.
FADE GIGA CANDLE STRAT# 🔥 FADE GIGA CANDLE STRATEGY
## Overview
The **Fade Giga Candle Strategy** is a contrarian trading indicator designed to identify extreme price movements (called "Giga Candles") and predict mean reversion opportunities. This strategy is specifically optimized for Polymarket's 15-minute crypto prediction markets (BTC, ETH, SOL, XRP) but can be applied to any timeframe.
**Core Concept:** When price makes an unusually large move with extreme RSI and high volume, it often reverses in the next period. This indicator detects those moments and signals to "fade" (bet against) the move.
---
## 📊 What Does It Do?
### Signal Generation
- **FADE BEARISH (📉)**: Detects massive green candles → Predicts price will go DOWN next
- **FADE BULLISH (📈)**: Detects massive red candles → Predicts price will go UP next
### Real-Time Stats
- Win Rate tracking
- Total Return calculation
- Expected Value (EV) analysis
- Breakeven threshold display (57.14% for 75% win / 100% loss structure)
### Visual Alerts
- Chart labels showing predictions
- Background highlighting on signal candles
- Stats table in top-right corner
- RSI indicator with overbought/oversold zones
---
## ⚙️ How It Works
### 1. Giga Candle Detection
The indicator analyzes the last 500 candles and identifies "Giga Candles" based on:
- **Body Size Percentile** (default 93rd): Only the top 7% largest candles qualify
- **Minimum Body %** (default 0.5%): Filters out noise on small moves
### 2. Confirmation Filters
Before generating a signal, the indicator checks:
**RSI Filter (Optional)**
- RSI must be ≥70 (overbought) OR ≤30 (oversold)
- Indicates price is at an extreme level
**Volume Filter (Optional)**
- Current volume must be ≥1.5x the 20-period average
- Confirms the move has conviction
### 3. Fade Logic
```
IF Giga Green Candle + RSI Extreme + High Volume
→ FADE BEARISH (predict DOWN)
IF Giga Red Candle + RSI Extreme + High Volume
→ FADE BULLISH (predict UP)
```
---
## 🎛️ Settings & Parameters
### Giga Candle Detection
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| **Giga Candle Percentile** | 93.0 | 80-99 | Top X% of candles by body size. 93 = only top 7% qualify as "giga" |
| **Min Body % (Safety)** | 0.5 | 0.1-2.0 | Minimum body size as % of price. Prevents false signals on low volatility |
### RSI Filter
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| **Use RSI Filter** | ON | ON/OFF | Require RSI to be extreme before signaling |
| **RSI Length** | 14 | 5-50 | Period for RSI calculation |
| **RSI Overbought** | 70 | 60-85 | Threshold for overbought condition |
| **RSI Oversold** | 30 | 15-40 | Threshold for oversold condition |
### Volume Filter
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| **Use Volume Filter** | ON | ON/OFF | Require high volume before signaling |
| **Volume SMA Length** | 20 | 10-50 | Period for average volume calculation |
| **Volume Multiplier** | 1.5 | 1.0-3.0 | Current volume must be X times the average |
### Display Options
- **Show Signal Labels**: Display prediction labels on chart
- **Highlight Signal Candles**: Background color on signal bars
- **Show Stats Table**: Performance statistics in top-right
- **Enable Alerts**: Push notifications when signals occur
---
## 🚀 How to Use
### For Polymarket Trading (Recommended)
1. **Set timeframe to 15 minutes** (matches Polymarket market duration)
2. **Apply to BTC, ETH, SOL, or XRP charts**
3. **Wait for signal:**
- 📉 FADE BEARISH → Buy "DOWN" on Polymarket
- 📈 FADE BULLISH → Buy "UP" on Polymarket
4. **Hold until market resolves** (15 minutes)
5. **Track your performance** using the stats table
### For Regular Trading
1. Use on any liquid crypto market
2. When signal appears, consider entering a mean-reversion trade
3. Set stop-loss at 100% of entry (built into expected value calculation)
4. Take profit at 75% gain (matches the 57.14% breakeven math)
### Understanding the Stats Table
**Win Rate**: Your prediction accuracy percentage
- **Target: >57.14%** (breakeven for 75% win / 100% loss structure)
- Green if profitable, red if unprofitable
**Expected Value (EV)**: Average % return per trade
- **Positive EV** = Strategy is profitable long-term
- **Negative EV** = Strategy is losing long-term
- Formula: `(WinRate% × 75) - (LossRate% × 100)`
**Total Return**: Cumulative % gain/loss across all signals
---
## 📈 Interpretation Guide
### Strong Signals
✅ Large giga candle (top 3-5%)
✅ RSI >75 or <25 (very extreme)
✅ Volume >2x average
✅ Signal appears after sustained trend
✅ Win rate >60% in recent trades
### Weak Signals (Consider Skipping)
⚠️ Borderline giga candle (barely above threshold)
⚠️ RSI only slightly extreme (71 or 29)
⚠️ Volume just meets minimum (1.5x)
⚠️ Signal appears during choppy/sideways market
⚠️ Win rate <50% in recent trades
---
## 💡 Pro Tips
### 1. Timeframe Matters
- **15-min**: Best for Polymarket, captures intraday exhaustion
- **1-hour**: Better for swing trading
- **5-min**: Too noisy, not recommended
### 2. Market Context
- Works best in **trending markets** that overextend
- Less effective in **tight ranges** (consolidation)
- Avoid during **low liquidity** hours (weekends, holidays)
### 3. Filter Tuning
**More Aggressive (More Signals)**
- Lower Giga Percentile (90th)
- Disable RSI filter
- Lower volume multiplier (1.2x)
**More Conservative (Fewer, Higher Quality)**
- Raise Giga Percentile (95th)
- Tighter RSI thresholds (75/25)
- Higher volume multiplier (2.0x)
### 4. Bankroll Management
- **Never bet >5% of capital** on a single signal
- Maintain 20+ bet bankroll minimum
- Use Kelly Criterion: `Bet% = (WinRate - LossRate) / 2`
- Example: 60% win rate → Bet ~10% of bankroll
### 5. Track Your Performance
- Monitor the stats table actively
- If win rate drops below 55% for 20+ trades, **stop trading**
- If EV goes negative, **reassess filters or market conditions**
- Keep a trading journal outside the indicator
---
## ⚠️ Risk Disclosure
### Important Warnings
1. **Past performance ≠ future results**: Backtested win rates may not hold in live trading
2. **Market conditions change**: Strategy may stop working if market dynamics shift
3. **Gambler's ruin risk**: Even profitable strategies can lose multiple trades in a row
4. **Polymarket specific**:
- Carries smart contract risk
- Subject to liquidity constraints
- Markets can resolve unexpectedly
5. **Not financial advice**: This is an educational tool, not a recommendation to trade
### Best Practices
- Start with **small position sizes** to test
- Track at least **50 signals** before evaluating performance
- Consider **paper trading** first (simulated trades)
- Never trade with money you can't afford to lose
- Understand the **57.14% breakeven** requirement
---
## 🔧 Troubleshooting
### "No signals appearing"
- Check if filters are too strict (try disabling RSI/Volume filters temporarily)
- Reduce Giga Percentile to 90th
- Ensure sufficient chart history loaded (>500 candles)
### "Too many signals"
- Increase Giga Percentile to 95th
- Enable both RSI and Volume filters
- Raise volume multiplier to 2.0x
### "Win rate seems low"
- Check if you're trading during low liquidity periods
- Verify you're using 15-min timeframe for Polymarket
- Consider market is in tight consolidation (strategy works best in trends)
---
## 📚 Technical Details
### Calculations
- **Body Size**: `|close - open|`
- **Body %**: `(bodySize / open) × 100`
- **Giga Threshold**: `percentile_nearest_rank(last 500 candles, 93rd)`
- **RSI**: Standard 14-period RSI
- **Volume Ratio**: `current_volume / SMA(volume, 20)`
### Performance Tracking
- Checks if previous signal was correct after 1 bar
- Win = +75% to total return
- Loss = -100% to total return
- Win Rate = `(correct_predictions / total_signals) × 100`
---
## 🎯 Ideal Use Cases
### ✅ Perfect For:
- Polymarket 15-minute crypto prediction markets
- Mean-reversion trading on liquid crypto pairs
- Contrarian traders who fade extremes
- Systematic traders who follow rules-based signals
### ❌ Not Ideal For:
- Trend-following strategies (this is contrarian)
- Low volatility assets (needs large moves)
- Illiquid markets (won't have "giga" candles)
- Sub-5-minute scalping (too much noise)
---
## 📞 Support & Updates
**Version**: 6.0
**Last Updated**: January 2025
**Compatible With**: TradingView Pine Script v6
### Feedback Welcome
If you find this indicator useful or have suggestions for improvement, please:
- ⭐ Leave a rating
- 💬 Comment with your results
- 🚀 Share your settings for different markets
**Good luck, and trade responsibly!** 🎯
---
## Quick Start Checklist
- Set timeframe to 15 minutes
- Load BTC, ETH, SOL, or XRP chart
- Verify stats table shows in top-right
- Enable alerts for signal notifications
- Start with paper trading to validate
- Track at least 20 signals before going live
- Never bet more than 5% of bankroll per trade
- Monitor win rate and stop if <55%
**Remember: The goal is >57.14% win rate for profitability!**
FX Momentum Breakout Detector# FX Momentum Breakout Strategy
A TradingView Pine Script indicator that detects momentum breakouts in forex pairs and automatically executes trades via SignalStack integration. The strategy uses EMA crossovers, swing structure breaks, and Fibonacci retracement levels for entry, stop loss, and take profit placement.
## Overview
This strategy identifies bullish and bearish momentum breakouts by combining:
- **EMA (Exponential Moving Average)** for trend direction
- **Swing High/Low** structure breaks for entry signals
- **Fibonacci retracement levels** for stop loss and take profit
- **Volume and time filters** to improve signal quality
- **Dynamic position sizing** based on Fibonacci stop distance and risk percentage
### Key Features
- ✅ **Automated Order Execution**: Direct integration with SignalStack for hands-free trading
- ✅ **Risk-Based Position Sizing**: Automatically calculates lot size based on stop distance and account risk
- ✅ **Fibonacci-Based TP/SL**: Uses Fibonacci 0.5 levels for take profit and stop loss
- ✅ **Time Window Filter**: Only trades during active market hours (7AM-7PM Japan Time)
- ✅ **Volume Filter**: Requires volume above 10-day moving average
- ✅ **Single Alert System**: One alert handles both long and short signals
## Strategy Logic
### Entry Conditions
**Long (Buy) Signal:**
- Price crosses above EMA 20, OR
- Price breaks above swing high structure
- AND: Minimum 3 consecutive bull bars (strong momentum)
- AND: Price is above EMA 20 (if EMA filter enabled)
- AND: Volume is above 10-day MA
- AND: Time is within 7AM-7PM JST window
**Short (Sell) Signal:**
- Price crosses below EMA 20, OR
- Price breaks below swing low structure
- AND: Minimum 3 consecutive bear bars (strong momentum)
- AND: Price is below EMA 20 (if EMA filter enabled)
- AND: Volume is above 10-day MA
- AND: Time is within 7AM-7PM JST window
### Stop Loss & Take Profit
- **Long Positions:**
- Take Profit: Fibonacci 0.5 level above entry (`fib_up_0_5`)
- Stop Loss: Fibonacci 0.5 level below entry (`fib_dn_0_5`)
- **Short Positions:**
- Take Profit: Fibonacci 0.5 level below entry (`fib_dn_0_5`)
- Stop Loss: Fibonacci 0.5 level above entry (`fib_up_0_5`)
### Position Sizing
Position size is calculated dynamically based on:
1. **Account Balance**: Your account size in USD (default: $125,000)
2. **Risk Percentage**: Risk per trade (default: 1.0%)
3. **Stop Loss Distance**: Distance from entry to Fibonacci stop level (in pips)
**Formula:**
```
Risk in Dollars = Account Balance × (Risk % / 100)
Stop Loss (pips) = |Entry Price - Stop Loss Price| / Pip Size
Position Size (lots) = Risk $ / (Stop Loss (pips) × $10 per pip per lot)
```
The strategy rounds to 0.01 lot increments (micro lots) for precise position sizing.
## Setup Instructions
### Prerequisites
1. **TradingView Account**: Pro plan or higher (required for webhook alerts)
2. **SignalStack Account**: Active account with connected broker (e.g., OANDA)
3. **SignalStack Webhook URL**: Get this from your SignalStack dashboard
### Step 1: Add Strategy to TradingView
1. Open TradingView and navigate to your chart
2. Click "Pine Editor" (bottom panel)
3. Copy the code from `v2.0_fx_breakout_strategy.md`
4. Paste into Pine Editor
5. Click "Save" and then "Add to Chart"
### Step 2: Configure Strategy Inputs
In the strategy settings panel, configure:
**Technical Parameters:**
- **EMA Length**: Default 20 (trend filter)
- **Swing High/Low Lookback**: Default 7 bars
- **Min Consecutive Bull/Bear Bars**: Default 3 (momentum requirement)
- **Require EMA Filter**: Default `true` (price must be on correct side of EMA)
**Risk Management:**
- **Account Balance (USD)**: Your account size (default: 125,000)
- **Risk Per Trade (%)**: Risk percentage per trade (default: 1.0%)
- **ATR Length**: Default 14 (for informational ATR display)
**Filters:**
- **Volume MA Length**: Default 10 (volume filter period)
- **Enable Webhook Alerts**: Set to `true` for automated trading
- **Alert Frequency**: `once_per_bar_close` (recommended)
- **Asset Label**: Leave empty to use chart symbol, or override if needed
### Step 3: Create TradingView Alert
1. Click the "Alerts" icon (bell) at the top of the chart, or press `Alt+A` (Windows) / `Option+A` (Mac)
2. Click "Create Alert" or the "+" button
3. Select the chart with your strategy
**Alert Configuration:**
**Condition Tab:**
- **Condition**: Select "FX Momentum Breakout Detector" (your strategy name)
- **Trigger**: "Once Per Bar Close" (matches strategy setting)
- **Expiration**: Set as needed (or leave unlimited)
**Notifications Tab:**
- **Webhook URL**: Paste your SignalStack webhook URL
- **Message**: Leave as default (strategy generates JSON automatically)
4. Save the alert with a descriptive name (e.g., "EURUSD Breakout SignalStack")
### Step 4: Verify SignalStack Connection
1. Check your SignalStack dashboard for incoming webhooks
2. Verify the broker connection is active
3. Test with a paper trading account first
For detailed SignalStack setup, see (./SIGNALSTACK_SETUP.md).
## Webhook Payload Format
The strategy sends a JSON payload in SignalStack format. Primary fields:
```json
{
"symbol": "EURUSD",
"action": "buy",
"quantity": 2.78,
"take_profit": 1.0895,
"stop_loss": 1.0805,
"ticker": "EURUSD",
"ticker_id": "OANDA:EURUSD",
"base": "EUR",
"quote": "USD",
"timeframe": "15",
"price": 1.0850,
"ema20": 1.0820,
"range": 0.0050,
"breakout_price": 1.0850,
"fib_up_0_5": 1.0895,
"fib_dn_0_5": 1.0805,
"atr_pips": 25.0,
"stop_loss_pips": 45.0,
"position_size_lots": 2.78,
"risk_dollars": 1250.0,
"signal": "bullish momentum breakout",
"bar_time": "2024-01-15T10:30:00"
}
```
**SignalStack Required Fields:**
- `symbol`: Trading symbol
- `action`: "buy" or "sell"
- `quantity`: Position size in lots
- `take_profit`: Take profit price
- `stop_loss`: Stop loss price
## Testing
Use the included test script to verify webhook integration:
```bash
# Test both Discord and SignalStack
python test_webhook.py
# Test Discord only
python test_webhook.py --discord
# Test SignalStack only
python test_webhook.py --signalstack
```
The test script sends sample payloads matching the strategy format and verifies webhook delivery.
## Configuration Examples
### Conservative Setup (Lower Risk)
- Account Balance: 125,000 USD
- Risk Per Trade: 0.5%
- EMA Length: 20
- Min Bull/Bear Bars: 4
- Require EMA Filter: `true`
### Aggressive Setup (Higher Risk)
- Account Balance: 125,000 USD
- Risk Per Trade: 2.0%
- EMA Length: 15
- Min Bull/Bear Bars: 2
- Require EMA Filter: `false`
### Multiple Currency Pairs
To trade multiple pairs:
1. Add the strategy to each chart
2. Create a separate alert for each pair
3. Use the same SignalStack webhook URL for all alerts
4. SignalStack routes orders based on the `symbol` field
## Time Window Filter
The strategy only trades during **7AM-7PM Japan Time (JST)**, which corresponds to:
- **UTC**: 22:00 (previous day) to 10:00 (same day)
- This covers the Asian and early European trading sessions
To modify the time window, edit the `timeWindowFilter` calculation in the strategy code.
## Position Sizing Examples
### Example 1: EURUSD Long
- Account Balance: $125,000
- Risk: 1.0% = $1,250
- Entry Price: 1.0850
- Stop Loss (fib_dn_0_5): 1.0805
- Stop Distance: 45 pips
- Position Size: $1,250 / (45 pips × $10) = **2.78 lots**
### Example 2: GBPUSD Short
- Account Balance: $125,000
- Risk: 1.0% = $1,250
- Entry Price: 1.2650
- Stop Loss (fib_up_0_5): 1.2700
- Stop Distance: 50 pips
- Position Size: $1,250 / (50 pips × $10) = **2.50 lots**
## Troubleshooting
### Alert Not Triggering
1. **Check Strategy Settings:**
- Ensure "Enable Webhook Alerts" is `true`
- Verify time window (7AM-7PM JST)
- Check volume filter (must be above 10-day MA)
2. **Check Alert Settings:**
- Verify webhook URL is correct
- Ensure alert is active (not expired)
- Check alert frequency matches strategy setting
### Webhook Not Received by SignalStack
1. **Verify URL:**
- Check SignalStack dashboard for correct webhook URL
- Ensure URL is complete (no truncation)
2. **Check Payload Format:**
- SignalStack expects `symbol`, `action`, `quantity`, `take_profit`, `stop_loss`
- Verify these fields are present in the payload
3. **Test Webhook:**
- Use TradingView's "Test Alert" feature
- Check SignalStack logs for incoming requests
- Run `test_webhook.py` to verify format
### OANDA Authentication Error
If you receive a 401 Unauthorized error:
1. **Check OANDA API Token Permissions:**
- Log in to OANDA
- Go to "My Account" > "My Services" > "Manage API Access"
- Ensure token has **Trading** permissions (not just read-only)
2. **Update SignalStack Configuration:**
- Go to SignalStack dashboard
- Navigate to OANDA broker connection settings
- Update API token with a token that has trading permissions
- Verify account ID matches your OANDA account
For detailed troubleshooting, see (./SIGNALSTACK_SETUP.md).
### Position Size Issues
1. **Check Account Balance Input:**
- Verify account balance matches your actual account size
- Ensure risk percentage is appropriate (1% recommended)
2. **Verify Stop Loss Calculation:**
- Stop loss is based on Fibonacci 0.5 level
- Position size automatically adjusts to maintain risk percentage
- Check that pip size is correct for your currency pair
## Files
- **v2.0_fx_breakout_strategy.md**: Pine Script strategy code
- **test_webhook.py**: Python test script for webhook validation
- **SIGNALSTACK_SETUP.md**: Detailed SignalStack configuration guide
- **design.md**: Strategy design notes and considerations
## Risk Disclaimer
⚠️ **Trading forex involves substantial risk of loss. This strategy is provided for educational purposes only.**
- Always test with paper trading before using real funds
- Past performance does not guarantee future results
- Use appropriate risk management (1-2% risk per trade recommended)
- Monitor positions and adjust stop losses as needed
- This strategy does not guarantee profits
## Support
- **SignalStack Documentation**: Check SignalStack's official docs for webhook requirements
- **TradingView Support**: For alert/webhook issues in TradingView
- **Strategy Issues**: Review the strategy code comments for configuration options
## License
This strategy is provided as-is for personal use. Modify and adapt as needed for your trading requirements.
SPX Iron Fly Session TrackerOverview
This indicator provides visual tracking for iron fly option structures designed for SPX 0-day-to-expiration (0DTE) intraday trading. It implements a two-phase position management system that adapts to different market conditions throughout the trading day.
This is a visualization and tracking tool only. It does not execute trades, access real options data, or calculate actual profit and loss. All displayed positions are theoretical representations based on underlying price movement.
Strategy Goal and Context
The Core Objective:
The strategy aims to have SPX price expire within your iron fly positions at end of day. When price expires inside a fly's profit zone (between the wings), that position captures maximum premium. The challenge is that price moves throughout the day, so static positioning rarely succeeds.
The Solution: Active Management
Rather than setting positions and hoping price cooperates, this approach continuously manages and repositions flies to keep price centered within your profit zones. As SPX drifts during the trading session, you add new flies at current price levels and close flies that price has moved away from.
The Goal: Multiple Profitable Expirations
By session end, you want as many flies as possible to have price expire within their center zones. This requires:
Adding new flies as price moves away from existing positions
Closing flies when price crosses beyond their optimal range
Building layered coverage in the afternoon to increase probability of capture
Adapting wing widths to time of day and volatility
The Reality: Capital and Time Intensive
This is not a passive strategy. Successful implementation requires:
Substantial capital (each fly requires margin, multiple flies compound this)
Active monitoring throughout trading sessions
Quick decision-making as positions trigger
Multiple position adjustments per session
Disciplined adherence to management rules
How This Indicator Helps:
For backtesting:
Use replay mode to study how positions would have managed on historical sessions
Test different parameter combinations to find optimal settings
Observe position behavior during various market conditions
Understand timing and frequency of position adds and closes
Validate whether your capital can support the required position count
For live session support:
Real-time visual tracking shows current position coverage
Alerts notify you immediately when new positions should be added
Position closure alerts help you manage exits promptly
Reference strike tracking shows where you're measuring movement from
History table provides audit trail of all position activity
The indicator handles the complex tracking and rule application, allowing you to focus on execution and risk management.
Key Use Cases
1. Replay Mode - Backtest and Study
Use TradingView's replay feature to validate the strategy on historical sessions:
Step through past SPX sessions bar-by-bar
See exactly when positions would have opened and closed
Count how many flies would have expired profitably
Analyze different parameter settings on the same historical data
Study position behavior during trending vs ranging conditions
Calculate approximate capital requirements for your setup
Refine your parameters before risking real capital
2. Live Session Alerts
Set up real-time notifications for active trading sessions:
Get alerted immediately when new positions trigger
Receive notifications when positions close
Alerts include strike level, wing width, and closure reason
Works on mobile, desktop, email, or webhook
Never miss a position signal during active trading
Maintain awareness even when away from screens briefly
3. Fully Customizable Parameters
Adapt every aspect to your risk tolerance and capital:
Adjust trigger distances for more or fewer position adds
Modify wing widths for different volatility environments
Change session timing to match your trading schedule
Set maximum concurrent positions to your capital limits
Fine-tune spacing to match available strike increments
Iron Fly Structure
An iron fly is a neutral options strategy with four legs:
- Short 1 ATM Call
- Short 1 ATM Put
- Long 1 OTM Call (upper wing protection)
- Long 1 OTM Put (lower wing protection)
The structure creates a defined risk zone. Maximum profit occurs when price expires at the center strike. Loss increases as price moves toward the wings (breakeven points). Maximum loss is defined and occurs beyond the wings.
Expiration Goal:
You want SPX to close inside the fly's wings. If SPX expires at the strike, you capture maximum premium. If SPX expires between the strike and either wing, you still profit (reduced). If SPX expires beyond the wings, you realize a loss (but it's defined and limited by the wings).
Two-Phase Management System
The indicator tracks positions across two distinct trading phases with different management rules:
Phase 1: TWO_GLASS - Morning Session (Default 10am-1pm ET)
Conservative positioning with active repositioning:
- Trigger new positions when price moves 7.5 points from reference strike (configurable)
- Maintain maximum 2 concurrent positions (configurable)
- 10-point spacing between position strikes (configurable)
- 40-point wing width (configurable)
- Exit rule: When two positions are active and price crosses to one strike level, close the OTHER position
This phase uses a "follow the price" approach. You're not trying to stack multiple positions yet - you're maintaining one or two flies centered on wherever price currently is. As price drifts, you add a new fly at the current level and close the old one when price moves too far away.
Phase 2: THREE_GLASS - Afternoon Session (Default 1pm-4pm ET)
Accumulation mode with layered coverage:
- Trigger new positions every 2.5 points of price movement (configurable)
- Maintain maximum 6 concurrent positions (configurable)
- 5-point spacing between strikes (configurable)
- 20-point wings early, reducing to 10 points after 3pm (configurable)
- Exit rule: Positions only close when price reaches wing extremes
This phase builds a stacked profit zone. Instead of swapping positions, you accumulate multiple flies as price moves. The goal is to have several flies active at expiration, creating a wider net to capture price. Tighter spacing and more frequent triggers create this layered coverage.
Why Two Different Phases?
Morning (Phase 1):
Earlier in the day, price has more time to move substantially. Maintaining many concurrent positions is riskier because price could trend and hit multiple wings. The strategy uses selective positioning with wider wings and active replacement.
Afternoon (Phase 2):
Closer to expiration, price movements typically compress. Time for large moves decreases. The strategy shifts to accumulation, building a net of positions to increase probability that final expiration price falls within at least one (ideally several) of your flies. Tighter wings and more positions become appropriate.
Exit Mechanisms
Strike Cross Exit (Phase 1 Only)
When two positions are active, if price moves to or beyond one position's strike level, the OTHER position closes. This keeps your coverage centered on current price action rather than maintaining positions price has moved away from.
Example: Flies at 5900 and 5910 are open. Price moves to 5910. The fly at 5900 closes because price has moved to the 5910 level. You're now positioned at current price (5910) rather than maintaining coverage at old price (5900).
Wing Extreme Exit (Both Phases)
Any position closes immediately when price touches its upper or lower wing boundary. This represents the breakeven/maximum loss point, so the position is closed to prevent further deterioration.
Dynamic Wing Adjustment
Wing widths automatically adjust based on time of day:
- Phase 1 (Morning): 40 points (customizable)
- Phase 2 Early (1pm-3pm): 20 points (customizable)
- Phase 2 Late (3pm-4pm): 10 points (customizable)
This progressive tightening reflects decreasing price movement potential as expiration approaches. Wider wings earlier provide more protection when price could move substantially. Tighter wings later allow more precise positioning when price movements typically compress.
All values are fully adjustable to match your risk parameters and observed market volatility.
Customization Guide
Every parameter can be modified to suit your trading style, risk tolerance, and capital:
Session Timing
- TWO_GLASS Start Hour: When Phase 1 begins (default: 10am ET)
- THREE_GLASS Start Hour: When Phase 2 begins (default: 1pm ET)
- Wing Width Change Hour: When wings tighten (default: 3pm ET)
- Session End Hour: When tracking stops (default: 4pm ET)
Phase 1 Parameters (Fully Adjustable)
- Trigger Distance: How far price must move from reference strike to add new position (default: 7.5, range: 0.1+)
- Fly Spacing: Distance between position strikes (default: 10, range: 1.0+)
- Wing Width: Distance from strike to wings (default: 40, range: 5.0+)
- Max Flies: Maximum concurrent positions (default: 2, range: 1-10)
Phase 2 Early Parameters (Fully Adjustable)
- Trigger Distance: Movement needed to add new position (default: 2.5, range: 0.1+)
- Fly Spacing: Distance between strikes (default: 5, range: 1.0+)
- Wing Width: Strike to wing distance (default: 20, range: 5.0+)
- Max Flies: Maximum concurrent positions (default: 6, range: 1-20)
Phase 2 Late Parameters
- Wing Width: Reduced width after 3pm (default: 10, range: 5.0+)
General Settings
- Strike Rounding: Round strikes to nearest multiple (default: 5.0, range: 1.0+)
- Bars Before Check: Bars to wait before allowing closure (default: 2, prevents premature exits)
Display Options
- Show History Table: Toggle detailed position log (default: on)
- History Table Rows: Number of positions displayed (default: 15, range: 5-30)
Alert Settings
- Enable Alerts: Toggle notifications for opens/closes (default: on)
How to Use
For Backtesting in Replay Mode:
Select a historical SPX trading session
Apply indicator to 1-5 minute timeframe
Configure your preferred parameters
Activate TradingView's replay feature
Play through the session (step-by-step or continuous)
Observe when positions open (green boxes appear)
Watch position closures (boxes turn gray)
Count how many flies would have expired with price inside (green at session end)
Note total number of position adds throughout session
Calculate approximate capital needed (positions × margin per fly)
Test different parameter combinations on same historical data
Study position behavior during trending vs ranging sessions
For Live Trading Sessions:
Apply indicator to SPX on 1-5 minute timeframe
Configure parameters based on your backtest results
Create alerts for "Iron Fly Opened" and "Iron Fly Closed"
Set alert frequency to "Once Per Bar Close"
Choose notification method (popup, mobile app, email, webhook)
Monitor the status table (top-right) for current session and reference strike
Review history table (bottom-right) for position log with timestamps
When alert triggers, use visual cues to manually place actual option orders
Execute position adds and closes as indicated by the tracker
Visual Interpretation:
Green boxes = Active positions (theoretical profit zones)
White lines (Phase 1) / Aqua lines (Phase 2) = Strike levels
Red/Blue dotted lines = Wing boundaries (breakeven/risk limits)
Gray boxes = Closed positions (historical reference)
Current SPX price line = Shows where price is relative to positions
Top-right table = Current session status, reference strike, open/closed counts
Bottom-right table = Complete position history with open/close timestamps
Alert System Details
The indicator generates detailed alert messages for position management:
Position Opened:
- Strike level where fly should be placed
- Wing width (±points from strike)
- Session phase (Phase 1 or Phase 2)
- Alert format example: "Iron Fly OPENED | Strike: 5900 | Wings: ±40 | Session: TWO_GLASS"
Position Closed:
- Strike level of fly being closed
- Closure reason (strike cross, wing extreme, etc.)
- Session phase
- Alert format example: "Iron Fly CLOSED | Strike: 5900 | Reason: Price crossed to lower fly | Session: TWO_GLASS"
Configure alerts once before market open, then receive automatic notifications as positions trigger throughout the trading session.
Parameter Optimization Suggestions
For Higher Volatility Environments:
- Increase trigger distances (e.g., Phase 1: 10-15 points, Phase 2: 3-5 points)
- Widen wing widths (e.g., Phase 1: 50-60 points, Phase 2: 25-30 points early, 15-20 late)
- Increase strike spacing to reduce position frequency
For Lower Volatility Environments:
- Decrease trigger distances (e.g., Phase 1: 5-7 points, Phase 2: 1.5-2 points)
- Tighten wing widths (e.g., Phase 1: 30-35 points, Phase 2: 15-18 points early, 8-10 late)
- Reduce strike spacing for more granular coverage
For Conservative Risk Management:
- Reduce maximum concurrent positions (Phase 1: 1, Phase 2: 3-4)
- Widen wing widths for more breathing room
- Increase bars before check to avoid whipsaws
- Use wider trigger distances to reduce position frequency
For Aggressive Positioning:
- Increase maximum concurrent positions (Phase 2: 8-10)
- Tighten trigger distances for more frequent adds
- Reduce bars before check for faster responses
- Use tighter spacing to create denser coverage
Capital Considerations:
Remember that each fly requires margin. If Phase 2 allows 6 concurrent flies and each requires $10,000 margin, you need $60,000 in available capital just for position requirements, plus additional cushion for adverse movement.
Use replay mode to count maximum concurrent positions that would have occurred on historical sessions with your parameters, then calculate total capital needed.
Practical Application
This tool provides visual guidance and management support. To implement the strategy:
Backtest thoroughly in replay mode first
Validate capital requirements for your parameter settings
Confirm you can actively monitor positions during trading hours
Use displayed positions as reference for manual order placement
Match indicator parameters to your actual option contracts
Account for real-world factors: commissions, slippage, bid-ask spreads, option availability
Implement proper position sizing based on available capital
Set up alerts before market open to catch all signals
Execute actual trades manually in your brokerage platform
Track actual results versus indicator expectations
Important Limitations
Theoretical tracking only - not an automated trading system
No access to real option prices, Greeks, or implied volatility
No profit/loss calculations or risk metrics
Does not account for time decay (theta), delta, gamma, vega changes
Assumes continuous price action - gaps or halts not handled
Designed for 0DTE SPX options - not suitable for other timeframes or instruments
Assumes option availability at all strike levels - may not reflect reality
Does not model actual option bid/ask spreads or liquidity
Assumes instant execution at desired strikes - slippage not considered
Historical replay shows theoretical behavior only - actual market conditions may differ
Does not adjust for changing implied volatility throughout session
Position count and timing may not match what's executable in real markets
Capital and Time Requirements
This strategy is resource-intensive:
Capital Requirements:
Each iron fly requires margin (varies by broker and strike width)
Multiple concurrent positions multiply capital needs
Example: 6 flies at $10,000 each = $60,000 minimum
Additional cushion needed for adverse movement
Pattern Day Trader rules may apply (requires $25,000 minimum)
Time Requirements:
Active monitoring during trading hours (typically 10am-4pm ET)
Quick response to position add/close signals
Multiple position adjustments per session possible
Cannot be passive or set-and-forget
Requires ability to place orders promptly when alerted
Use replay mode to understand the commitment level before attempting live implementation.
Risk Considerations
Iron fly trading involves substantial risk. This indicator provides visualization and management support only - it does not constitute financial advice or trading recommendations.
Options trading can result in total loss of capital. The indicator's theoretical positions do not reflect actual trading results. Backtest analysis and historical visualization do not guarantee similar future outcomes. Multiple concurrent positions multiply both profit potential and loss risk.
Always conduct independent research, understand all risks, validate capital requirements, and never trade with funds you cannot afford to lose. Consider starting with paper trading to validate execution capability before risking real capital.
Technical Notes
The indicator uses price-based triggers only. It does not:
Connect to options data feeds
Calculate theoretical option values or Greeks
Execute trades automatically
Provide specific trading signals or recommendations
Account for option-specific factors (implied volatility, time decay, bid/ask spreads)
All displayed information represents theoretical position placement based solely on underlying SPX price movement and user-configured parameters. The tool helps visualize the management framework but requires the trader to handle all actual execution and risk management decisions.
This is an educational and analytical tool for understanding iron fly position management concepts. It requires active interpretation, backtesting validation, and manual implementation by the user.
ORB Breakout Strategy with VWAP and Volume FiltersOverview
This strategy implements the classic Opening Range Breakout (ORB) methodology, a well-documented approach in trading literature that has been used by institutional and retail traders for decades. The strategy identifies the high and low of the first 15 minutes of the trading session, then trades breakouts with defined risk management.
This implementation includes multiple customizable filters (VWAP, Volume, Candle Strength) that traders can enable, disable, and tune to find configurations that work for their specific markets and trading style.
How It Works
Opening Range Calculation
The strategy captures the high and low of the first N bars after the session open (default: 3 bars on a 5-minute chart = 15 minutes). These levels become the breakout triggers for the session.
Entry Logic
Long Entry: When a bar closes above the ORB High and all enabled filters pass
Short Entry: When a bar closes below the ORB Low and all enabled filters pass
Exit Logic
Take Profit: Configurable multiple of the ORB range (default: 1x = full range beyond breakout level)
Stop Loss: Opposite side of the ORB range
Breakeven: Optional stop adjustment to entry price when trade reaches configurable profit threshold
Session Close: All positions automatically closed at end of trading session
Configurable Filters
All filters can be independently enabled or disabled:
1. VWAP Filter
Requires price above/below session-anchored VWAP
Requires VWAP slope confirmation (configurable lookback and minimum slope)
Purpose: Align trades with intraday trend direction
2. Volume Filter
Requires minimum volume on the breakout bar
Purpose: Confirm institutional participation in the breakout
3. Candle Strength Filter
Requires close in upper/lower portion of the bar range
Purpose: Filter out weak breakouts with poor conviction
Strategy Properties
Initial Capital - $50.000USD
Position Size - 1 contract (fixed)
Commission - $4.00 per contract
Slippage - 2 ticks
Margin - 1%
Pyramiding - Disabled
Backtest Results (NQ)
Recent Performance (Jan 2025 - Jan 2026)
Total Trades - 243
Win Rate - 39.09%
Profit Factor - 1.03
Net P&L - $3,581 (+7.16%)
Max Drawdown - $25,447 (39.96%)
Long-Term Performance (2010 - 2026)
Total Trades - 1699
Win Rate - 37.61%
Profit Factor - 0.756
Net P&L - ($49,632) (-99.26%)
Max Drawdown - $50,262 (99.27%)
Important: Long-term results show negative expectancy with default settings. This strategy is published as a research framework, not a ready-to-trade system. Users are encouraged to experiment with different configurations to find their edge.
Settings Guide
Main Settings
ORB Bars: Number of bars for opening range (3 = 15 min on 5-min chart)
Trading Session: Time window for trading (e.g., 0930-1200 for morning only)
Timezone: Your market's timezone
Take Profit: Multiple of ORB range for target
Breakeven Trigger: Distance to move stop to entry
Max Trades Per Day: Daily trade limit
VWAP Filter
Use VWAP Filter: Enable/disable
VWAP Slope Lookback: Bars to measure VWAP direction
Min VWAP Slope: Minimum slope threshold
Volume Filter
Use Volume Filter: Enable/disable
Min Breakout
Volume: Minimum contracts required
Candle Strength Filter
Use Candle Strength Filter: Enable/disable
Min Candle Strength: Required close position (0.7 = top/bottom 30%)
Research Suggestions
This strategy provides a foundation for exploring ORB-based approaches. Consider testing:
Different ORB periods: 5, 10, 15, or 30 minutes
Session variations: Morning only (0930-1200), afternoon, or full day
Direction bias: Long-only or short-only based on daily trend
Filter combinations: Different mixes of VWAP, volume, and candle filters
Take profit ratios: 0.5x, 1x, 1.5x, or 2x ORB range
Market regimes: Performance may vary in trending vs ranging markets
Different instruments: Test on ES, NQ, MNQ, or other futures
Visual Elements
Orange Background: ORB forming period
Green Background: Active trading session
Green Line: ORB High level
Red Line: ORB Low level
VWAP Line: Green = upslope, Red = downslope, Gray = flat
White Line: Trade entry price
Lime Line: Take profit level
Red Line: Stop loss level
Orange Line: Breakeven trigger level
Blue Background: Breakeven activated
Triangles: Entry signals (only appear when trade executes)
Limitations
Negative long-term expectancy: Default settings do not produce profitable results over extended periods
Parameter sensitivity: Results highly dependent on filter settings and market conditions
Market regime dependent: May perform differently in trending vs choppy markets
Commission impact: Frequent trading accumulates significant transaction costs
Curve fitting risk: Optimized settings may not persist in future markets
Disclaimer
This strategy is provided for educational and research purposes only. It does not constitute financial advice.
Past performance does not guarantee future results
Backtested results may not reflect actual trading conditions
The long-term backtest shows significant negative returns
Always paper trade before risking real capital
Never risk more than you can afford to lose
Conduct your own research and due diligence
This is a research framework designed for traders to explore and customize, not a plug-and-play trading system.
EMA and Dow Theory Strategies V2 DOGE Current Optimum Value
📘 Overview
These are the current optimal values for DOGE.
They are intended for use on the 2‑hour timeframe.
This script requires complex configuration, but there is an optimal set of values somewhere.
Here, I’m sharing the settings that I personally use at the moment.
Turning Take Profit off can lead to higher profits, but it also increases risks such as a lower win rate.
With Take Profit on, you can adjust the settings by increasing the values.
I have been trading using Dow Theory for many years.
Trading with Dow Theory and EMA has been my main strategy.
Although it has been profitable, I have long struggled with its low win rate.
The issue lies in the immaturity of the exit strategy, and I’m currently experimenting to see if I can solve that.
In V2, I added three take‑profit lines, securing 30% of the profit at each level to ensure a minimum level of gain.
Additionally, when the trend weakens, half of the position is closed.
In all scenarios, the remaining position is held until the trend reverses.
The system provides precise entries, adaptive exits, and highly visual guidance that helps traders understand trend structure at a glance.
🧠 Key Features
🔹 1. Dual‑EMA Trend Logic (Symbol + External Index)
Both the chart symbol and an external index (OTHERS.D) are evaluated using fast/slow EMAs to determine correlation‑based trend bias.
🔹 2. Dow Theory Swing Detection (Real‑time)
The script identifies swing highs/lows and updates trend direction when price breaks them. This creates a structural trend model that reacts faster than EMAs alone.
🔹 3. Gradient Trend Zones (Visual Trend Strength)
When trend is up or down, the area between price and the latest swing level is filled with a multi‑step gradient. This makes trend strength and distance-to-structure visually intuitive.
🔹 4. Higher‑Timeframe Swing Trend (htfTrend)
Swing highs/lows from a higher timeframe (e.g., 4H) are plotted to show macro structure. Used only for visual context, not for filtering entries.
🔹 5. RSI‑Based Entry Protection
RSI prevents entries during extreme overbought/oversold conditions.
🔹 6. Dynamic Exit System
Includes:
Custom stop‑loss (%)
Partial take‑profit (TP1/TP2/TP3)
Automatic scale‑out when trend color weakens
“Color‑change lockout” to prevent immediate re‑entry
Real‑time PnL tracking and labels
🔹 7. Alerts for All Key Events
Entry, stop‑loss, partial exits, and trend‑change exits all generate structured JSON alerts.
🔹 8. Visual PnL Labels & Equity Tracking
PnL for the latest trade is displayed directly on the chart, including scale‑out adjustments.
⚙️ Input Parameters
Parameter Description
Fast EMA / Slow EMA EMAs used for symbol trend detection
Index Fast / Slow EMA EMAs applied to external index
StopLoss (%) Custom stop‑loss threshold
Scale‑Out % Portion to exit when trend color weakens
RSI Period / Levels Overbought/oversold filters
Swing Detection Length Bars used to detect swing highs/lows
Stats Display Position of statistics table
🧭 About htfTrend (Higher Timeframe Trend)
The higher‑timeframe swing trend is displayed visually but not used for entry logic.
Why? Strict HTF filtering reduces trade frequency and often removes profitable setups. By keeping it visual‑only, traders retain flexibility while still benefiting from macro structure awareness.
Use it as a contextual guide, not a constraint.
📘 概要
DOGEの現在の最適値です。
2時間足での使用を想定しています。
このスクリプトは複雑な設定が必要ですが、どこかに最適値が存在します。
今回は現在私が個人的に使っている設定値の公開です。
Take ProfitをOFFにするとさらなる利益が望めますが、勝率が下がるなどのリスクが上がります。
ONにした状態で数値を上げることによって調整することが可能です。
私はダウ理論を使ったトレードを長年続けてきました。
ダウ理論とEMAを使ったトレードが私の主力です。
しかし利益は出るものの、長年その勝率の低さに悩んでいました。
問題は出口戦略が未熟なためで、現在はそれらの解決ができないかと試行錯誤を続けています。
V2では3本の利益確定ラインを引き、それぞれ30%ずつ利益を確定し、最低限の利益がでるようにしました。
それ以外にはトレンドが弱まったタイミングで半分の利益確定をし、どのパターンでも残ったポジションはトレンド転換まで持ち続けます。
🧠 主な機能
🔹 1. 銘柄＋外部インデックスの EMA クロス判定
対象銘柄と OTHERS.D の EMA を比較し、相関を考慮したトレンド方向を判定します。
🔹 2. ダウ理論に基づくスイング高値・安値の自動検出
スイング更新によりトレンド方向を切り替える、構造ベースのトレンド判定を採用。
🔹 3. グラデーション背景によるトレンド強度の可視化
スイングラインから現在価格までを段階的に塗り分け、 「どれだけトレンドが伸びているか」を直感的に把握できます。
🔹 4. 上位足スイングトレンド（htfTrend）の表示
4H などの上位足でのスイング高値・安値を表示し、 大局的なトレンド構造を視覚的に把握できます（ロジックには未使用）。
🔹 5. RSI による過熱・売られすぎフィルター
極端な RSI 状態でのエントリーを防止。
🔹 6. 動的イグジットシステム
カスタム損切り（％）
TP1/TP2/TP3 の段階的利確
トレンド色の弱まりによる自動スケールアウト
色変化後の再エントリー制限（waitForColorChange）
リアルタイム PnL の追跡とラベル表示
🔹 7. アラート完備（JSON 形式）
エントリー、損切り、部分利確、トレンド反転などすべてに対応。
🔹 8. 損益ラベル・統計表示
直近トレードの損益をチャート上に表示し、視覚的に把握できます。
⚙️ 設定項目
設定項目名 説明
Fast / Slow EMA 銘柄の EMA 設定
Index Fast / Slow EMA 外部インデックスの EMA 設定
損切り（％） カスタム損切りライン
部分利確割合 トレンド弱化時のスケールアウト割合
RSI 期間・水準 過熱/売られすぎフィルター
スイング検出期間 スイング高値・安値の検出に使用
統計表示位置 テーブルの表示位置
🧭 上位足トレンド（htfTrend）について
上位足スイングの更新に基づくトレンド判定を表示しますが、 エントリー条件には使用していません。
理由： 上位足を厳密にロジックへ組み込むと、トレード機会が大幅に減るためです。
本ストラテジーでは、 「大局の把握は視覚で、エントリーは柔軟に」 という設計思想を採用しています。
→ 裁量で利確判断や逆張り回避に活用できます。
Fibonacci 5 Candles Retracement
================================================================================
FIBONACCI 5 CANDLES RETRACEMENT - STRATEGY GUIDE
================================================================================
WHAT DOES THIS STRATEGY DO?
---------------------------
This strategy automatically identifies market trends and uses Fibonacci
retracements to find the best entry points. The idea is simple: when price
makes a strong movement (trend), it often pulls back before continuing in
the same direction. The strategy captures these "pullbacks" to enter at the
right moment.
HOW IT WORKS?
-------------
1. TREND DETECTION
The strategy looks for 5 consecutive candles of the same color:
- 5 red candles = BEARISH trend (price falls)
- 5 green candles = BULLISH trend (price rises)
2. CALCULATION OF START AND END POINTS
For a BEARISH trend (5 red candles):
- START: The highest point between the first red candle and the previous one
- END: The lowest point reached during the 5 candles (and beyond, if the
trend continues)
For a BULLISH trend (5 green candles):
- START: The lowest point between the first green candle and the previous one
- END: The highest point reached during the 5 candles (and beyond, if the
trend continues)
3. DYNAMIC UPDATE
The END point updates automatically if price continues to move in the
direction of the trend, creating new highs (for bullish trends) or new
lows (for bearish trends).
4. TREND END
Normal Mode:
- BEARISH trend ends when a candle closes above the previous candle's open
- BULLISH trend ends when a candle closes below the previous candle's open
"Extended Trend" mode (optional):
- The trend remains active until a candle closes beyond the dynamic 50%
retracement level
- When this happens, the END point "freezes" (stops updating), but the
trend can continue
5. FIBONACCI RETRACEMENT CALCULATION
Once START and END are identified, the strategy automatically calculates
Fibonacci levels. IMPORTANT: for retracements and pending orders, we
consider START as 100% and END as 0%, because we work on the part of the
trend that is recovered (the pullback).
The retracement levels are:
- 70% = level closest to START (smallest retracement)
- 60% = second level
- 50% = central level (often used for entry)
- 25% = level closest to END (largest retracement)
6. PENDING ORDER PLACEMENT
When a trend is identified and completed, the strategy automatically places
a pending order (limit order) at one of the selectable Fibonacci levels.
Available levels:
- 25%: closest to END
- 50%: central level (balanced)
- 60%: closest to START
- 70%: very close to START
The order direction depends on the trend:
- BEARISH trend → SHORT order (bet that price falls)
- BULLISH trend → LONG order (bet that price rises)
Stop Loss and Take Profit (for retracements):
- Stop Loss: always at START level
- Take Profit: always at END level
EXTENDED TAKE PROFIT:
If the order is executed (filled), the strategy can apply an "Extended
Take Profit" if configured. IMPORTANT: for the extended TP calculation,
we consider START as 0% and END as 100% (the original trend movement).
For example, if you set 3%, the Take Profit will be at 103% of the
original trend movement instead of 100%.
AVAILABLE FILTERS
-----------------
1. MINIMUM TREND (pips)
Filters trends that are too small. If a trend is below the set value:
- START and END labels become gray (instead of red/green)
- No pending order is placed
- The trend is still displayed on the chart
Useful for avoiding trading movements that are too small.
2. EMA FILTER
Uses two moving averages (EMA 50 and EMA 200) to filter direction:
- If active: places LONG orders only when EMA50 > EMA200 (uptrend)
- If active: places SHORT orders only when EMA50 < EMA200 (downtrend)
Useful for trading only in the direction of the main trend.
3. EXTENDED TREND
Modifies how the trend is considered "completed":
- If disabled: uses normal logic (opposite candle)
- If active: the trend remains in formation until a candle closes beyond
the dynamic 50%. When this happens, END freezes but the trend can continue.
Useful for capturing longer trends and extended movements.
VISUALIZATION
-------------
The strategy displays on the chart:
1. START AND END LABELS
- Red color for bearish trends
- Green color for bullish trends
- Gray color if the trend is not valid (too small)
- Remain visible even when new trends form
2. START AND END LINES
- Horizontal lines indicating the start (START) and end (END) points of the trend
- White color by default, customizable from the settings panel
- Update dynamically when the END point changes
- Can be shown or hidden via the "Show Start/End Lines" option
3. FIBONACCI LINES
The strategy shows horizontal lines at retracement levels:
- Line at 50% (yellow by default)
- Line at 25% (green by default)
- Line at 60% (azure by default)
- Line at 70% (red by default)
COLOR CUSTOMIZATION:
All line colors can be customized from the settings panel in the
"LINE COLORS" section:
- Start/End Line Color: customize the color of START and END lines
- 50% Line Color: customize the color of the 50% line
- 25% Line Color: customize the color of the 25% line
- 60% Line Color: customize the color of the 60% line
- 70% Line Color: customize the color of the 70% line
Lines update dynamically when the END point changes and can be shown or
hidden individually via options in the "VISUALIZATION" section.
4. PENDING ORDER LABELS
Show pending order information:
- Direction (LONG or SHORT)
- Entry price
- Stop Loss
- Take Profit
Positioned far from the chart to avoid cluttering the visualization.
ALERTS
------
If enabled, alerts send notifications when:
1. PENDING ORDER CREATED
When a new pending order is placed, with all information.
2. PENDING ORDER UPDATED
When the pending order is updated (for example, if the level changes or
if the END point moves).
3. ORDER OPENED
When the pending order is executed (filled) and the position is opened.
Alerts can be configured in TradingView to send notifications via email,
SMS, or other platforms.
RECOMMENDED SETTINGS
--------------------
To get started, you can use these settings:
VISUALIZATION:
- Show all lines and labels to see how it works
- Show Start/End Lines: true (to display lines at START and END points)
- Customize line colors in the "LINE COLORS" section according to your preferences
STRATEGY:
- Pending Order Level: 50% (balanced)
- Extended TP: 0% (use standard TP at 100%)
FILTERS:
- Minimum Trend: 0 pips (disabled initially)
- Use EMA Filter: false (disabled initially)
- Extended Trend: false (use normal logic)
ALERTS:
- Enable Alerts: true (if you want to receive notifications)
PRACTICAL EXAMPLE
-----------------
Scenario: Bearish Trend
1. Price forms 5 consecutive red candles
2. The strategy identifies:
- START = 1.2000 (highest point)
- END = 1.1900 (lowest point)
- Range = 100 pips
3. Calculates Fibonacci levels (for retracements: START = 100%, END = 0%):
- 100% = 1.2000 (START)
- 70% = 1.1930
- 60% = 1.1940
- 50% = 1.1950
- 25% = 1.1975
- 0% = 1.1900 (END)
4. If you set "Pending Order Level" to 50%:
- Places a SHORT pending order at 1.1950 (50% retracement)
- Stop Loss at 1.2000 (START = 100%)
- Take Profit at 1.1900 (END = 0%)
5. If price rises and touches 1.1950:
- The order is executed
- Opens a SHORT position
- If price falls to 1.1900 → Take Profit (profit)
- If price rises to 1.2000 → Stop Loss (loss)
IMPORTANT NOTE
--------------
This strategy is a technical analysis tool. Like all trading strategies,
it does not guarantee profits. Trading involves risks and you can lose money.
Always use appropriate risk management and test the strategy on historical
data before using it with real money.
LICENSE
-------
This code is open source and available for modification. You are free to
use, modify, and distribute this strategy. If you republish or share a
modified version, please kindly mention the original author.
================================================================================
Squeeze Momentum with Trend Exhaustion# Squeeze Momentum + Trend Exhaustion Indicator
## Complete User Manual
---
## Table of Contents
1. (#what-this-indicator-does)
2. (#visual-components)
3. (#market-states)
4. (#how-to-read-signals)
5. (#trading-examples)
6. (#configuration-guide)
7. (#best-practices)
---
## What This Indicator Does
This indicator combines two powerful concepts to identify complete market cycles:
### 1. Squeeze Momentum (LazyBear)
Detects **volatility compression** (consolidation) and subsequent **expansion** (breakout).
**Think of it like:** A spring being compressed, then released.
### 2. Multi-Timeframe Trend Exhaustion
Measures how far price has moved from its moving averages across multiple timeframes.
**Think of it like:** A rubber band being stretched—eventually it must snap back.
### The Complete Cycle
```
Consolidation → Breakout → Trend → Exhaustion → Reversion → Consolidation
```
This indicator shows you exactly where you are in this cycle.
---
## Visual Components
### Main Panel (Bottom)
| Element | What It Looks Like | Meaning |
|---------|-------------------|---------|
| **Colored Bars** | Green/Red histogram | Momentum strength and direction |
| **Filled Area** | Yellow/Lime/Red gradient area | Price extension from moving averages |
| **Cross at Zero** | Black/Gray/Blue cross | Squeeze state (volatility) |
| **Dashed Lines** | Horizontal red/green lines | Extension thresholds (±2σ scaled) |
---
### 1. Momentum Histogram (Colored Bars)
| Color | Direction | Meaning |
|-------|-----------|---------|
| **Bright Green** (Lime) | Up ↑ | Strong bullish momentum (increasing) |
| **Dark Green** | Up ↑ | Weak bullish momentum (decreasing) |
| **Bright Red** | Down ↓ | Strong bearish momentum (increasing) |
| **Dark Red** (Maroon) | Down ↓ | Weak bearish momentum (decreasing) |
**Key insight:** When bars change from bright to dark, momentum is fading.
---
### 2. Extension Area (Filled Gradient)
Shows how extended price is from its moving averages across 5 timeframes (5m, 15m, 1h, 4h, Daily).
| Color | Position | Meaning |
|-------|----------|---------|
| **Red** | High above zero | Severely overbought (>2σ scaled) |
| **Orange/Yellow** | Above zero | Moderately overbought |
| **Lime/Green** | Below zero | Moderately oversold |
| **Teal** | Deep below zero | Severely oversold (<-2σ scaled) |
**The area is scaled 3x** for better visibility. Actual values shown in table.
**Reading it:**
- **Area touching upper dashed line** = Price very far above averages (exhaustion territory)
- **Area touching lower dashed line** = Price very far below averages (exhaustion territory)
- **Area near zero** = Price near its averages (normal/neutral)
---
### 3. Squeeze Indicator (Cross at Zero Line)
| Color | Status | Meaning |
|-------|--------|---------|
| **Black** ⚫ | Squeeze ON | Bollinger Bands inside Keltner Channels → Low volatility, consolidation |
| **Gray** ⚪ | Squeeze OFF | Bollinger Bands outside Keltner Channels → Volatility expanding, breakout |
| **Blue** 🔵 | No Squeeze | Normal volatility conditions |
**Critical:** The transition from Black → Gray is where explosive moves begin.
---
### 4. Entry/Exit Signals
| Symbol | Type | Meaning |
|--------|------|---------|
| 🔺 **Large Green Triangle** | HC Long Entry | High Confidence long setup (Squeeze OFF + Oversold + Confluence) |
| 🔻 **Large Red Triangle** | HC Short Entry | High Confidence short setup (Squeeze OFF + Overbought + Confluence) |
| 🔺 Small green | Medium Long | Long setup without full confluence |
| 🔻 Small red | Medium Short | Short setup without full confluence |
| ✕ Orange X | Exit Long | Close long positions (exhaustion detected) |
| ✕ Teal X | Exit Short | Close short positions (exhaustion detected) |
**Trade only the LARGE triangles** for highest probability setups.
---
## Market States
The indicator identifies 7 distinct market states shown in the info table.
### State 1: 💤 CONSOLIDATION
**Conditions:**
- Squeeze: ON (black cross)
- Extension: Near zero (±1σ)
- Momentum: Contracting
**What's happening:** Price is range-bound, volatility dying down. Spring is being compressed.
**Action:** **WAIT.** Do not trade. Set alerts for Squeeze OFF.
---
### State 2: ⚡ BREAKOUT BULL / BEAR
**Conditions:**
- Squeeze: OFF (gray cross) ← **Key trigger**
- Extension: Still moderate
- Momentum: Strong directional move (bright green or red bars)
**What's happening:** Volatility explosion. Spring released. This is the start of a new trend.
**Action:** **ENTER** in direction of momentum.
- ⚡ BREAKOUT BULL → Go LONG
- ⚡ BREAKOUT BEAR → Go SHORT
**Best scenario:** Breakout from oversold/overbought levels (confluence with exhaustion indicator).
---
### State 3: ↗️ TRENDING UP / ↘️ TRENDING DOWN
**Conditions:**
- Squeeze: OFF or No Squeeze
- Extension: Growing (1σ to 2σ)
- Momentum: Sustained strong bars
**What's happening:** Trend in progress. Price moving away from averages.
**Action:** **HOLD** positions. Let winners run. Don't fight the trend.
---
### State 4: ⚠️ EXTENDED UP / DOWN
**Conditions:**
- Extension: Above 2σ threshold
- Momentum: Still strong (bright bars)
- Confluence: May be weak
**What's happening:** Price stretched but still has power. Caution zone.
**Action:** **CAUTION.** Don't enter new positions. Tighten stops on existing positions.
---
### State 5: 🔴 EXHAUSTION BULL / 🟢 EXHAUSTION BEAR
**Conditions:**
- Extension: >2σ (touching dashed lines)
- Momentum: Fading (bright bars turning dark)
- Velocity: Decreasing
- Confluence: 3/5 or better
**What's happening:** Rubber band stretched to maximum. Trend running out of energy.
**Action:** **EXIT** positions.
- 🔴 EXHAUSTION BULL → Close LONGS, consider SHORT
- 🟢 EXHAUSTION BEAR → Close SHORTS, consider LONG
**This is the highest probability reversal signal.**
---
### State 6: ➡️ TRENDING (Neutral Direction)
**Conditions:**
- Price trending but without clear momentum direction changes
**Action:** **HOLD** or wait for clearer signals.
---
### State 7: — NEUTRAL
**Conditions:**
- Extension near zero
- No squeeze
- Weak momentum
**Action:** No trade. Wait for setup.
---
## How to Read Signals
### Perfect Long Entry (High Confidence ⭐)
**Requirements (all must be true):**
1. ⚫→⚪ Squeeze just turned OFF (gray cross)
2. 📊 Momentum bars bright GREEN and rising
3. 🔻 Extension area BELOW lower dashed line (oversold)
4. ⭐ Confluence: 3/5 or more timeframes agree (shown as "🔻" in table)
**Visual:** Large green triangle appears
**What this means:** Price was oversold across multiple timeframes, consolidated, and is now breaking out upward with fresh momentum.
**Entry:** Next candle after signal
**Stop Loss:** Below recent consolidation low
**Take Profit:** When extension area crosses back above zero, or when exit signal appears
---
### Perfect Short Entry (High Confidence ⭐)
**Requirements (all must be true):**
1. ⚫→⚪ Squeeze just turned OFF (gray cross)
2. 📊 Momentum bars bright RED and falling
3. 🔺 Extension area ABOVE upper dashed line (overbought)
4. ⭐ Confluence: 3/5 or more timeframes agree (shown as "🔺" in table)
**Visual:** Large red triangle appears
**What this means:** Price was overbought across multiple timeframes, consolidated, and is now breaking down with fresh momentum.
**Entry:** Next candle after signal
**Stop Loss:** Above recent consolidation high
**Take Profit:** When extension area crosses back below zero, or when exit signal appears
---
### Exit Signals
#### Exit Long (Orange X)
**Appears when:**
- Extension area reaches upper dashed line (>2σ)
- Momentum bars turning from bright green to dark green
- Price losing upward velocity
**Action:** Close 50-100% of position. Move stop to breakeven on remainder.
#### Exit Short (Teal X)
**Appears when:**
- Extension area reaches lower dashed line (<-2σ)
- Momentum bars turning from bright red to dark red
- Price losing downward velocity
**Action:** Close 50-100% of position. Move stop to breakeven on remainder.
---
### Medium Confidence Signals (Small Triangles)
These appear when squeeze is OFF and momentum is directional, but:
- Extension is only moderate (not extreme), OR
- Confluence is weak (<3/5 timeframes)
**How to trade:**
- Use smaller position size (50% of normal)
- Tighter stops
- Only take if other factors align (support/resistance, volume, etc.)
---
## Trading Examples
### Example 1: Classic Squeeze Play into Trend
```
Step 1: CONSOLIDATION (💤)
Chart: Price moving sideways for 10-20 candles
Indicator: Black cross at zero (Squeeze ON)
Extension: Yellow/Lime area near zero line
Action: Set alert for Squeeze OFF
Step 2: BREAKOUT (⚡)
Chart: Strong green candle breaks resistance
Indicator: Cross turns GRAY (Squeeze OFF)
Bright GREEN momentum bars appear
Extension area still near zero or slightly below
Signal: Large green triangle appears
Action: ENTER LONG
Stop loss below consolidation
Target: Extension upper line
Step 3: TRENDING (↗️)
Chart: Series of higher highs and higher lows
Indicator: Momentum bars stay bright green
Extension area rising toward upper line
Area color transitions yellow → orange → red
Action: HOLD, trailing stop
Step 4: EXHAUSTION (🔴)
Chart: Price makes new high but with smaller candle
Indicator: Extension area touches upper dashed line
Momentum bars turn DARK green (weakening)
Orange X appears
Table shows "EXHAUSTION BULL"
Action: EXIT position
Book profits
Step 5: REVERSION
Chart: Price falls back toward moving averages
Indicator: Extension area shrinks back toward zero
Red momentum bars appear
Action: Wait for next setup
```
**Result:** Caught the entire trend from breakout to exhaustion.
---
### Example 2: Failed Breakout (What NOT to Trade)
```
Situation:
- Squeeze OFF (gray cross) ✓
- Momentum bars bright green ✓
- BUT extension area ABOVE upper line (already overbought) ✗
- Confluence shows 1/5 (only one timeframe agrees) ✗
Indicator: Small green triangle (medium confidence) or no triangle
What happens: Price makes small move up, then reverses
Lesson: Don't chase extended moves even if squeeze fires.
Wait for price to be on the RIGHT SIDE of the extension lines.
```
---
### Example 3: Exhaustion Reversal Trade
```
Step 1: EXTENDED (⚠️)
Chart: Strong uptrend for days
Indicator: Extension area deep in red zone (>2σ)
Momentum still bright green but starting to shorten
Table: "EXTENDED UP" / "CAUTION LONG"
Action: Watch closely, tighten stops
Step 2: EXHAUSTION (🔴)
Chart: Price makes final push but with decreasing volume
Indicator: Momentum bars turn DARK green
Orange X appears
Table: "EXHAUSTION BULL" + "4/5 🔺"
Action: CLOSE any longs
Consider SHORT entry
Step 3: SQUEEZE FORMS (Optional)
Chart: Price starts consolidating
Indicator: Cross turns BLACK (Squeeze ON)
Extension area falling toward zero
Action: Wait for Squeeze OFF to confirm reversal
Step 4: BREAKOUT DOWN (⚡)
Indicator: Cross turns GRAY
Bright RED momentum bars
Large red triangle appears
Action: ENTER SHORT (reversal confirmed)
```
**Result:** Exited at the top, caught the reversal.
---
## Configuration Guide
### Recommended Settings by Timeframe
#### For 4H Charts (Swing Trading)
```
Squeeze Settings: (defaults are fine)
- BB Length: 20
- BB MultFactor: 2.0
- KC Length: 20
- KC MultFactor: 1.5
Exhaustion TFs:
- TF1: 15m
- TF2: 1h
- TF3: 4h
- TF4: 12h or Daily
- TF5: Daily or Weekly
Extension Threshold: 2.0σ
Min Confluence: 3/5
```
#### For 1H Charts (Day Trading)
```
Squeeze Settings: (defaults)
Exhaustion TFs:
- TF1: 5m
- TF2: 15m
- TF3: 1h
- TF4: 4h
- TF5: Daily
Extension Threshold: 2.0σ
Min Confluence: 3/5
```
#### For 15m Charts (Scalping)
```
Squeeze Settings:
- BB Length: 15
- KC Length: 15
Exhaustion TFs:
- TF1: 1m
- TF2: 5m
- TF3: 15m
- TF4: 1h
- TF5: 4h
Extension Threshold: 2.5σ (higher to avoid noise)
Min Confluence: 4/5 (more strict)
```
---
### Understanding the Table
Located in top-right corner:
| Row | Meaning |
|-----|---------|
| **Market State** | Current cycle phase (Consolidation/Breakout/Trending/Exhaustion) |
| **Squeeze** | 🔴 ON / 🟢 OFF / 🔵 No |
| **Momentum** | ↑ Bull / ↓ Bear / ~ Weak / — Neutral |
| **Extension** | Actual value in standard deviations (σ) - NOT scaled |
| **Confluence** | How many timeframes agree (X/5 🔺 or 🔻) |
| **Velocity** | Speed of extension change (↑ increasing, ↓ decreasing) |
| **ACTION** | What to do right now |
**Most important rows:**
1. **Market State** - Quick glance at current cycle
2. **Confluence** - Determines signal quality
3. **ACTION** - Direct guidance
---
## Best Practices
### ✅ DO
1. **Wait for High Confidence signals** (large triangles)
- Don't trade every small signal
- Quality over quantity
2. **Use the complete cycle**
- Enter on Breakout (⚡)
- Hold through Trending (↗️/↘️)
- Exit on Exhaustion (🔴/🟢)
3. **Respect confluence**
- 4/5 or 5/5 = Excellent probability
- 3/5 = Good probability
- 1-2/5 = Skip
4. **Combine with price action**
- Support/resistance levels
- Volume confirmation
- Candlestick patterns
5. **Set alerts**
- "Squeeze OFF" - Don't miss breakouts
- "HC Long Setup" / "HC Short Setup"
- "Exit Long" / "Exit Short"
6. **Scale positions**
- Enter 50% on signal
- Add 25% if extension confirms
- Add final 25% if momentum sustains
7. **Use proper risk management**
- Stop loss: Below/above consolidation
- Position size: 1-2% account risk
- Take profit: Extension targets or signals
---
### ❌ DON'T
1. **Don't trade Consolidation state**
- Black cross (Squeeze ON) = Wait mode
- No signals during consolidation
2. **Don't chase Extended moves**
- If extension already >2σ when Squeeze fires
- Even if momentum looks good
- Wait for reversion first
3. **Don't fight strong trends**
- If extension is growing and momentum strong
- Don't counter-trend trade
- Wait for exhaustion signals
4. **Don't ignore velocity**
- If velocity is ↑ and extension high = still dangerous
- If velocity is ↓ and extension high = safer reversal
5. **Don't trade low confluence**
- 1/5 or 2/5 = Different timeframes disagree
- High chance of false signal
6. **Don't use blindly**
- Check overall market context
- Major news events can override signals
- Trend on higher timeframe matters
7. **Don't overtrade**
- Good setups are rare (that's why they work)
- Wait for complete setup formation
---
## Quick Reference Card
### Signal Quality Checklist
**⭐⭐⭐ PERFECT SETUP (Trade this)**
- Squeeze just turned OFF (⚫→⚪)
- Momentum bright and directional
- Extension >2σ (OPPOSITE direction of entry)
- Confluence ≥3/5
- Large triangle signal
- Action says "LONG/SHORT ENTRY ⭐"
**⭐⭐ GOOD SETUP (Trade with caution)**
- Squeeze OFF
- Momentum directional
- Extension moderate
- Confluence ≥3/5
- Small triangle or Action confirms
**⭐ WEAK SETUP (Skip)**
- Low confluence (<3/5)
- Extension same direction as entry
- Momentum weak or conflicting
- Already in Extended/Exhaustion state
---
### State → Action Quick Guide
| See This State | Do This |
|---------------|---------|
| 💤 CONSOLIDATION | Wait, set alerts |
| ⚡ BREAKOUT | Enter in direction |
| ↗️/↘️ TRENDING | Hold positions |
| ⚠️ EXTENDED | Tighten stops, no new entries |
| 🔴/🟢 EXHAUSTION | Exit, consider reversal |
| — NEUTRAL | No trade |
---
## Troubleshooting
**Q: Indicator shows Exhaustion but price keeps going**
**A:** Check velocity and momentum. If still bright bars + velocity ↑, wait. True exhaustion needs momentum weakening.
**Q: Too many false signals**
**A:** Increase Min Confluence to 4/5. Use longer timeframe chart (4h instead of 1h).
**Q: Missing good trades**
**A:** Set alerts for "Squeeze OFF" and "HC Entry" signals. You can't watch charts 24/7.
**Q: Extension area looks weird**
**A:** Remember it's scaled 3x for visibility. Check table for actual values.
**Q: Which timeframe is best?**
**A:** 4H for swing trading, 1H for day trading. Lower = more signals but more noise.
**Q: Can I use this with other indicators?**
**A:** Yes! Combine with:
- Volume profile
- Support/resistance levels
- Moving averages on chart
- RSI for additional confirmation
---
## Final Thoughts
This indicator gives you a complete picture of market structure:
- **Where are we?** (Market State)
- **Where are we going?** (Momentum)
- **How far can it go?** (Extension)
- **When will it reverse?** (Exhaustion)
The key is **patience**. Wait for the complete setup:
1. Consolidation (⚫ Squeeze ON)
2. Breakout (⚪ Squeeze OFF)
3. Right extension direction (oversold for longs, overbought for shorts)
4. Strong confluence (3/5+)
When all pieces align, you get high-probability trades with clear entries, targets, and exits.
**Trade the cycle, not every wiggle.**
---
## Support & Updates
For questions or suggestions, refer to the original script documentation or TradingView community.
**Remember:** No indicator is perfect. Always use proper risk management and combine multiple forms of analysis.
**Good trading! 📈**
