Fixed price Stop Loss [Takazudo]This strategy is a demo for fixed price stop loss.
This strategy enables you to specify fixed price stop loss. Let's say your deposit is USD. When you trade EURCAD, you need to specify the quantity for trade. Here comes three chances for trade.
A: SL pips: 500
B: SL pips: 200
C: SL pips: 100
In these trade, the risk is different for each. ABC risk ratio is 5:2:1. And, you cannot know how much to lose if the price hits the stop loss. This is a huge problem.
With this strategy, You can specify the fixed risk price for each trade. If you specify 100 USD for the risk, this strategy calculates how much quantity to buy or sell for each entry. In the case above, this strategy guides you how much quantity to buy or sell like below.
A: 2,000 qty (SL: 500pips)
B: 5,000 qty (SL: 200pips)
C: 10,000 qty (SL: 100pips)
If you make entries with those quantity and the price hits the stop loss, You will lose the money like below.
A: 100 USD
B: 100 USD
C: 100 USD
This is what this script does. Fixed price SL.
I tested this caliculation for OANDA's main 28 currency pairs forex listed below.
AUDUSD, EURUSD, GBPUSD, NZDUSD, USDCAD, USDCHF, USDJPY, AUDCAD, AUDCHF, AUDJPY, AUDNZD, CADCHF, CADJPY, CHFJPY, EURAUD, EURCAD, EURCHF, EURGBP, EURJPY, EURNZD, GBPAUD, GBPCAD, GBPCHF, GBPJPY, GBPNZD, NZDCAD, NZDCHF, NZDJPY
I may add more pairs later.
Note: The entry strategy in this script is not intented to win. Check the result. Be careful.
Recherche dans les scripts pour "donchian"
MACD Crossover trend strategy, Long and ShortHey everybody,
This is my first strategy and script I wrote mostly myself. There's tons of content out there to learn how to code in Pinescript and it's exactly what I wanted and needed in this time of my life.
In any case, I made a rather simple MACD crossover strategy that only takes trades in the direction of both EMA and SMA (there are inputs to change the length of the moving averages and lots of other stuff too).
If the MACD line crosses upwards on the signal line, while above the zero point of the histogram and the price is above EMA + SMA , it's a long signal.
If the MACD line cosses downards on the signal line, while below zero on the histogram and the price is below EMA + SMA , it's a short signal.
There are a lot of default variables that make no sense, for basically any symbol you're going to be looking at. You're going to have to adjust the EMA , SMA , backtest date, take profit, stop loss and all that good stuff yourself to find decently profitable parameters.
I made this myself because I couldn't really find a strategy out there that allowed for so much customizing and it's an easy way to get started in Pinescript.
If you have any suggestions, tips or you see a flatout mistake in my code, please let me know. I'm still learning, everyday and I'm enjoying every second of it.
Channel Break [for free bot]I present to you a script for testing the channel breakout strategy for the Bitmex exchange.
Cryptocurrency itself is a trending tool, which is why breakout strategies generate the largest profits, and the channel breakout strategy is one of the most effective trend strategies.
The optimization result shows the result of trading on a volume of 20% of the deposit. But since Bitmex trades in futures contracts, you can use 50%, 100% and even much more, depending on your attitude to risk.
At the time of publication on the Bitmex exchange there are 12 different contracts, i.e. You can diversify your trading well (by pre-optimizing the settings for each contract).
In the script, you can set up many trading options - timeframe, periods for buying and selling, method of exiting a trade, stop loss, take profit, risk management, etc.
Thus, you create a strategy "for yourself".
Представляю Вам скрипт для тестирования стратегии пробоя канала для биржи Битмекс.
Криптовалюта, сама по себе является трендовым инструментом, именно поэтому, пробойные стратегии генерируют самую большую прибыль, а стратегия пробоя канала – является одной из самых эффективных трендовых стратегий.
На результате оптимизации показан результат торговли на объеме в 20% от депозита. Но так как на Битмекс торговля идет фьючерсными контрактами, Вы можете использовать 50%, 100% и даже намного больше, в зависимости от Вашего отношения к риску.
На момент публикации на бирже Битмекс есть 12 разных контрактов, т.е. Вы можете хороши диверсифицировать свою торговлю (предварительно оптимизируя настройки по каждый контракт).
В скрипте Вы можете настроить множество вариантов торговли - таймфрейм, периоды для покупки и продажи, метод выхода из сделки, стоп-лосс, тейк-профит, рискменеджмент и т.п.
Таким образом Вы создаете стратегию "под себя".
Donchain BreakoutIt is a long only strategy.
1. Buy when price breaks out of the upper band.
2. Exit has two options. Option 1 allows you to exit using lower band. Option 2 allows you to exit using basis line.
3. Slippage and commissions are not considered in the return calculation.
Ichimoku Kinkō hyō Keizen 改MTF善The script is not finnished yet and show's an other interpretation of how it could be scripted
Step -1 is complete... Basic Ichimoku with asjutable length and editable lines colors and visibilities.
Step -2 in progress... Adding ability to une multiple Spans, sens and Kumo on higher and lower timeframe.
Your Step : Like and Share ;) have a good year 2020 !
2020-01-06 /--------/ -R.V.
Jan 06
Release Notes: The script is not finnished yet and show's an other interpretation of how it could be scripted
Step -1 is complete... Basic Ichimoku with asjutable length and editable lines colors and visibilities.
Step -2 in progress... Adding ability to une multiple Spans, sens and Kumo on higher and lower timeframe.
Your Step : Like and Share ;) have a good year 2020 !
2020-01-06 /--------/ -R.V.
Jan 07
Jan 13
Release Notes: MTF Ichimoku is on it's way !!
Jan 17
Release Notes: The script is not finnished yet and show's an interpretation of how it could be scripted
Step -1 is complete... Basic Ichimoku with asjutable length and editable lines colors and visibilities.
Step -2 in complete... Adding ability to use multiple Spans, sens and Kumo on higher timeframe.
Step -3 in progress... Creating a UNIX based function to framgments actual chart periods in subcandles or "Subprices/periods" to plot multiple Spans, sens and Kumo on LOWER timeframe.
Your Step : Like and Share ;) have a good year 2020 !
/--------Coder--------/ -R.V.
Ichimoku Kinkō hyō Keizen 改善
The script is not finnished yet and show's an other interpretation of how it could be scripted
Step -1 is complete... Basic Ichimoku with asjutable length and editable lines colors and visibilities.
Step -2 in progress... Adding ability to une multiple Spans, sens and Kumo on higher and lower timeframe.
Your Step : Like and Share ;) have a good year 2020 !
2020-01-06 /--------/ -R.V.
X Period High/Low/MidToday we have a simple, but endlessly versatile, indicator that plots the X Period High/Low/Mid of your chosen market.
Traditionally the 52 week High/Low is used as a breakout signal. However, by changing to an X period, and adding a midway line, we create a more versatile indicator that can be tailored to various markets.
By default it's set at 250 periods (because I like the 250 period moving average), and I generally trade H4 and Daily time frames. But tweak it to your liking, you just have to modify the length periods by your desired time frame and lookback length. E.g. to create a 52 week indicator on the daily time frame, enter a length of 260 in the indicator (5 days per week * 52 weeks = 260).
For the above reason, I haven't made this indicator MTF, as there's no real need. However, if users find it easier I can look at adding it later.
Also, the mid point between an X period high/low is often a good trend-follower, as well as acting as support/resistance . I encourage you to experiment with different ways of using this indicator. Entire systems (if your risk management is correct) can be built and traded from this one indicator.
Good luck.
DD
Real TurtleThere are a few different attempts at the turtle strategy on here, but none that I have seen thus far correctly follow the strategy as I know it. This version uses a stop order to trail out of the position by moving the stop order to match the exit channel or stoploss as the N*2( ema of True Range * 2). This version of turtle strategy also uses stop orders for entry on either side in order to enter at optimal time. The ability to specify a backtest period was borrowed from another script, I grabbed it so long ago I no longer remember from whom i borrowed it, if it was yours I will credit you if you PM me.
This version unlike others also allows you to specify a risk % so you only risk that percentage of your equity in a trade, as calculated from your stoploss.
Disclaimer: I have published several scripts in the past when i was first learning pinescript and they are all horrible please ignore those. I would delete them, but TV doesn't allow you to delete.
makemoneyThis system design for you in order to make you money :) I hope...
1. the donochian channel is based on color of high and low price (easy to see where the bars exist)
2. resitance and support are drawn by bolinger system (black and red dots)
3. buy and sell are based on volume model (B and S ) with alerts
4. when PSAR and the buy or sell are in agrreement this are called strong buy or sell points shown in green and red trinangle
5. you can use stop loss or take profit based on system in volume model
using the system very easy and I hope you make noney on it either shorting or longing
I normaly use 1 hour and 30 min charts . you can try another time frames if it work to you
the code is open so you can modify , chane or do what ever you want with it
Stationary Extrapolated LevelsBeta Peek/Valey based forecast
The idea behind this indicator is to extrapolate a stationary time series and find the peeks of the extrapolated result. The highest and lowest of the extrapolated data represent really precise support and resistance if the data and its extrapolation are barelly equal with an error lower than the average.
When the detrended price ( in blue ) crossover the lower level then the indicator detect a valey and the possibility of an up movement, if the higher is crossed down then the indicator detect a peek and the possibility a down movement.
When "Show extrapolated values" is checked the indicator will show the forecast of the detrended price with a forecast of length periods ahead.
Feel free to contact me for any questions regarding my indicators :)
[RS]Multiple Time Frame Range Swing V0EXPERIMENTAL:
(republishing, previous had alot of lines crowding the chart)
MTF Range Swing.
Donchian Channel StrategyRide the trend with full potential. Filter out false signals using long period ema. Lower bands take care of the stop loss.
Use this strategy for banknifty futures for consistent quarterly returns.
Donchian WicksNote: This script does not perform well on its own and is meant to inspire other coders, just sharing it because why not :)
The idea is simple, highest only gets calculated for green candles, lowest only gets calculated for red candles. a yellow dot gets created when a candle gets below lowest line and closes bullish, vise versa for red dots.
Hope someone can use it.
Donchian HistogramThis Histogram detect the changes in a doncohian channel
for best output , put the TF = or above to the candle size that you use
I did not put signals but is easy
up=crossover(x,0)
down=croosunder(x,0)
Donchian Fibo Channels v2Updated and fixed version of DFC.
- fixed bugs
- added permanent setting for direction
- added color change for terminal and breakout bars
- added smart timings for line of 100% retracement
Donchian Fibo Channels1. Set PRZ level for watching
2. Set period as swing time X 2 (or more)
3. Wait rebound from PRZ or PRZ break (use next if break)
HelperTALibrary "HelperTA"
This library contains useful technical indicators that I use regularly in my charts.
`stockRSI` is not mine, but included because used often and referenced by internal functions.
`DCO` is a normalisation of the donchian channels; the price relative to the donchian channels, on a range.
`MarketCycle` is a weighted aggregate of RSI, Stochastic RSI & DCO (demo on the chart)
stockRSI(src, K, D, rsiPeriod, stochPeriod)
stockRSI
Parameters:
src (float)
K (int)
D (int)
rsiPeriod (simple int)
stochPeriod (int)
Returns:
DCO(price, donchianPeriod, smaPeriod)
DCO
Parameters:
price (float)
donchianPeriod (int)
smaPeriod (int)
Returns:
MarketCycle(donchianPrice, rsiPrice, srsiPrice, donchianPeriod, donchianSmoothing, rsiPeriod, rsiSmoothing, srsiPeriod, srsiSmoothing, srsiK, srsiD, rsiWeight, srsiWeight, dcoWeight)
MarketCycle
Parameters:
donchianPrice (float)
rsiPrice (float)
srsiPrice (float)
donchianPeriod (simple int)
donchianSmoothing (simple int)
rsiPeriod (simple int)
rsiSmoothing (int)
srsiPeriod (simple int)
srsiSmoothing (simple int)
srsiK (simple int)
srsiD (simple int)
rsiWeight (simple float)
srsiWeight (simple float)
dcoWeight (simple float)
Returns:
Multiple (12) Strong Buy/Sell Signals + Momentum
Indicator Manual: "Multiple (12) Strong Buy/Sell Signals + Momentum"
This indicator is designed to identify strong buy and sell signals based on 12 configurable conditions, which include a variety of technical analysis methods such as trend-following indicators, pattern recognition, volume analysis, and momentum oscillators. It allows for customizable alerts and visual cues on the chart. The indicator helps traders spot potential entry and exit points by displaying buy and sell signals based on the selected conditions.
Key Observations:
• The script integrates multiple indicators and pattern recognition methods to provide comprehensive buy/sell signals.
• Trend-based indicators like EMAs and MACD are combined with pattern recognition (flags, triangles) and momentum-based signals (RSI, ADX, and volume analysis).
• User customization is a core feature, allowing adjustments to the conditions and thresholds for more tailored signals.
• The script is designed to be responsive to market conditions, with multiple conditions filtering out noise to generate reliable signals.
________________________________________
Key Features:
1. 12 Combined Buy/Sell Signal Conditions: This indicator incorporates a diverse set of conditions based on trend analysis, momentum, and price patterns.
2. Minimum Conditions Input: You can adjust the threshold of conditions that need to be met for the buy/sell signals to appear.
3. Alert Customization: Set alert thresholds for both buy and sell signals.
4. Dynamic Visualization: Buy and sell signals are shown as triangles on the chart, with momentum signals highlighted as circles.
________________________________________
Detailed Description of the 12 Conditions:
1. Exponential Moving Averages (EMA):
o Conditions: The indicator uses EMAs with periods 3, 8, and 13 for quick trend-following signals.
o Bullish Signal: EMA3 > EMA8 > EMA13 (Bullish stack).
o Bearish Signal: EMA3 < EMA8 < EMA13 (Bearish stack).
o Reversal Signal: The crossing over or under of these EMAs can signify trend reversals.
2. MACD (Moving Average Convergence Divergence):
o Fast MACD (2, 7, 3) is used to confirm trends quickly.
o Bullish Signal: When the MACD line crosses above the signal line.
o Bearish Signal: When the MACD line crosses below the signal line.
3. Donchian Channel:
o Tracks the highest high and lowest low over a given period (default 20).
o Breakout Signal: Price breaking above the upper band is bullish; breaking below the lower band is bearish.
4. VWAP (Volume-Weighted Average Price):
o Above VWAP: Bullish condition (price above VWAP).
o Below VWAP: Bearish condition (price below VWAP).
5. EMA Stacking & Reversal:
o Tracks the order of EMAs (3, 8, 13) to confirm strong trends and reversals.
o Bullish Reversal: EMA3 < EMA8 < EMA13 followed by a crossing to bullish.
o Bearish Reversal: EMA3 > EMA8 > EMA13 followed by a crossing to bearish.
6. Bull/Bear Flags:
o Bull Flag: Characterized by a strong price movement (flagpole) followed by a pullback and breakout.
o Bear Flag: Similar to Bull Flag but in the opposite direction.
7. Triangle Patterns (Ascending and Descending):
o Detects ascending and descending triangles using pivot highs and lows.
o Ascending Triangle: Higher lows and flat resistance.
o Descending Triangle: Lower highs and flat support.
8. Volume Sensitivity:
o Identifies price moves with significant volume increases.
o High Volume: When current volume is significantly above the moving average volume (set to 1.2x of the average).
9. Momentum Indicators:
o RSI (Relative Strength Index): Confirms overbought and oversold levels with thresholds set at 65 (overbought) and 35 (oversold).
o ADX (Average Directional Index): Confirms strong trends when ADX > 28.
o Momentum Up: Momentum is upward with strong volume and bullish RSI/ADX conditions.
o Momentum Down: Momentum is downward with strong volume and bearish RSI/ADX conditions.
10. Bollinger & Keltner Squeeze:
o Squeeze Condition: A contraction in both Bollinger Bands and Keltner Channels indicates low volatility, signaling a potential breakout.
o Squeeze Breakout: Price breaking above or below the squeeze bands.
11. 3 Consecutive Candles Condition:
o Bullish: Price rises for three consecutive candles with higher highs and lows.
o Bearish: Price falls for three consecutive candles with lower highs and lows.
12. Williams %R and Stochastic RSI:
o Williams %R: A momentum oscillator with signals when the line crosses certain levels.
o Stochastic RSI: Provides overbought/oversold levels with smoother signals.
o Combined Signals: You can choose whether to require both WPR and StochRSI to signal a buy/sell.
________________________________________
User Inputs (Inputs Tab):
1. Minimum Conditions for Buy/Sell:
o min_conditions: Number of conditions required to trigger a buy/sell signal on the chart (1 to 12).
o Alert_min_conditions: User-defined alert threshold (how many conditions must be met before an alert is triggered).
2. Donchian Channel Settings:
o Show Donchian: Toggle visibility of the Donchian channel.
o Donchian Length: The length of the Donchian Channel (default 20).
3. Bull/Bear Flag Settings:
o Bull Flag Flagpole Strength: ATR multiplier to define the strength of the flagpole.
o Bull Flag Pullback Length: Length of pullback for the bull flag pattern.
o Bull Flag EMA Length: EMA length used to confirm trend during bull flag pattern.
Similar settings exist for Bear Flag patterns.
4. Momentum Indicators:
o RSI Length: Period for calculating the RSI (default 9).
o RSI Overbought: Overbought threshold for the RSI (default 65).
o RSI Oversold: Oversold threshold for the RSI (default 35).
5. Bollinger/Keltner Squeeze Settings:
o Squeeze Width Threshold: The maximum width of the Bollinger and Keltner Bands for squeeze conditions.
6. Stochastic RSI Settings:
o Stochastic RSI Length: The period for calculating the Stochastic RSI.
7. WPR Settings:
o WPR Length: Period for calculating Williams %R (default 14).
________________________________________
User Inputs (Style Tab):
1. Signal Plotting:
o Control the display and colors of the buy/sell signals, momentum indicators, and pattern signals on the chart.
o Buy/Sell Signals: Can be customized with different colors and shapes (triangle up for buys, triangle down for sells).
o Momentum Signals: Custom circle placement for momentum-up or momentum-down signals.
2. Donchian Channel:
o Show Donchian: Toggle visibility of the Donchian upper, lower, and middle bands.
o Band Colors: Choose the color for each band (upper, lower, middle).
________________________________________
How to Use the Indicator:
1. Adjust Minimum Conditions: Set the minimum number of conditions that must be met for a signal to appear. For example, set it to 5 if you want only stronger signals.
2. Set Alert Threshold: Define the number of conditions needed to trigger an alert. This can be different from the minimum conditions for visual signals.
3. Customize Appearance: Modify the colors and styles of the signals to match your preferences.
________________________________________
Conclusion:
This comprehensive trading indicator uses a combination of trend-following, pattern recognition, and momentum-based conditions to help you spot potential buy and sell opportunities. By adjusting the input settings, you can fine-tune it to match your specific trading strategy, making it a versatile tool for different market conditions.
Signal Reliability Based on Condition Count
The reliability of the buy/sell signals increases as more conditions are met. Here's a breakdown of the probabilities:
1. 1-3 Conditions Met: Lower Probability
o Signals that meet only 1-3 conditions tend to have lower reliability and are considered less probable. These signals may represent false positives or weaker market movements, and traders should approach them with caution.
2. 4 Conditions Met: More Reliable Signal
o When 4 conditions are met, the signal becomes more reliable. This indicates that multiple indicators or market patterns are aligning, increasing the likelihood of a valid buy/sell opportunity. While not foolproof, it's a stronger indication that the market may be moving in a particular direction.
3. 5-6 Conditions Met: Strong Signal
o A signal meeting 5-6 conditions is considered a strong signal. This indicates a well-confirmed move, with several technical indicators and market factors aligning to suggest a higher probability of success. These are the signals that traders often prioritize.
4. 7+ Conditions Met: Rare and High-Confidence Signal
o Signals that meet 7 or more conditions are rare and should be considered high-confidence signals. These represent a significant alignment of multiple factors, and while they are less frequent, they are highly reliable when they do occur. Traders can be more confident in acting on these signals, but they should still monitor market conditions for confirmation.
________________________________________
You can adjust the number of conditions as needed, but this breakdown should give a clear structure on how the signal strength correlates with the number of conditions met!
Trading Rush Signals & AlertsThis is an unofficial script for strategies tested on TRADING RUSH Youtube channel. Over time, most successful strategies will be added with an option to set strategy-specific alerts . Trading Rush Signals & Alerts will draw signals on the chart when the entry conditions are met. You can also opt for displaying indicators .
My script is meant for beginners but can be used by veterans too. Just pick only one or two strategies, you don't want to flood your chart with conflicting signals. You may want to support your trades with a proper analysis. If a new signal occurs when there is still an open position, you are not supposed to take another.
The current version includes MACD and Donchian Channels.
MACD strategy:
►Buy, when MACD crosses below the signal line when it is negative. The price must also be above 200 EMA.
►Sell, when MACD crosses above the signal line when it is positive. The price must also be below 200 EMA.
►This strategy was tested on 30-minute charts of EURUSD and EURJPY with reward-to-risk ratio 1,5 and win rate of 62% over 100 trades .
►►►MACD has to be added to your chart separately because it needs a new window. Indicators displaying will not add this indicator to the chart.
Donchian Channels strategy:
►Buy, when the price breaches Donchian to the upside after making a new low. The price must also be above 200 EMA.
►Sell, when the price breaches Donchian to the downside after making a new high. The price must also be below 200 EMA.
►Stop-loss is Donchian bottom for long and Donchian top for shorts. Check the channel for more information.
►This strategy was tested on 30-minute charts of EURUSD with reward-to-risk ratio 1,5 and win rate of 58% over 100 trades .
►►►I programmed alerts for Donchians to come ahead of an actual breach. If you often leave the screen when trading, this will help you. The necessary downside for that is the alerts might come when the signal doesn't trigger in the end. You will see a mark on the chart if the conditions are truly met.
Bear in mind that backtesting performance doesn't guarantee future profitability. • Most systematic strategies are not suitable for any timeframe. • You should perform your own backtest to base your trades on more data & to establish confidence in the selected strategy.
New strategies will be added when I have time. If I see multiple people asking for the same new feature, I might agree to release it with a new version. I am not going to add input options in this script, it could come as a separate script though. I am in no way affiliated with the Youtubechannel , so if you find the script helpful, shot me a message or send me some TradingView coins >)
If you encounter any bug, you can report it in a message or in comments. Support it with screenshot and relevant information such as a time when it occurred and what options were on etc.
saodisengxiaoyu-lianghua-2.1- This indicator is a modular, signal-building framework designed to generate long and short signals by combining a chosen leading indicator with selectable confirmation filters. It runs on Pine Script version 5, overlays directly on price, and is built to be highly configurable so traders can tailor the signal logic to their market, timeframe, and trading style. It includes a dashboard to visualize which conditions are active and whether they validate a signal, and it outputs clear buy/sell labels and alert conditions so you can automate or monitor trades with confidence.
Core Design
- Leading Indicator: You choose one primary signal generator from a broad list (for example, Range Filter, Supertrend, MACD, RSI, Ichimoku, and many others). This serves as the anchor of the system and determines when a preliminary long or short setup exists.
- Confirmation Filters: You can enable additional filters that validate the leading signal before it becomes actionable. Each “respect…” input toggles a filter on or off. These filters include popular tools like EMA, 2/3 EMA crosses, RQK (Nadaraya Watson), ADX/DMI, Bollinger-based oscillators, MACD variations, QQE, Hull, VWAP, Choppiness Index, Damiani Volatility, and more.
- Signal Expiry: To avoid waiting indefinitely for confirmations, the indicator counts how many consecutive bars the leading condition holds. If confirmations do not align within a defined number of bars, the setup expires. This controls latency and helps reduce late or stale entries.
- Alternating Signals: An optional mode enforces alternation (long must follow short and vice versa), helping avoid repeated entries in the same direction without a meaningful reset.
- Aggregation Logic: The final long/short conditions are formed by combining the leading condition with all selected confirmation filters through logical conjunction. Only if all enabled filters validate the signal (within expiry constraints) does the indicator consider it a confirmed long or short.
- Visualization and Alerts: The script plots buy/sell labels at signal points, provides alert conditions for automation, and displays a compact dashboard summarizing the leading indicator’s status and each confirmation’s pass/fail result using checkmarks.
Leading Indicator Options
- The indicator includes a very large menu of leading tools, each with its own logic to determine uptrend or downtrend impulses. Highlights include:
- Range Filter: Uses a dynamic centerline and bands computed via conditional EMA/SMA and range sizing to define directional movement. It can operate in a default mode or an alternative “DW” mode.
- Rational Quadratic Kernel (RQK): Applies a kernel smoothing model (Nadaraya Watson) to detect uptrends and downtrends with a focus on noise reduction.
- Supertrend, Half Trend, SSL Channel: Classic trend-following tools that derive direction from ATR-based bands or moving average channels.
- Ichimoku Cloud and SuperIchi: Multi-component systems validating trend via cloud position, conversion/base line relationships, projected cloud, and lagging span.
- TSI (True Strength Index), DPO (Detrended Price Oscillator), AO (Awesome Oscillator), MACD, STC (Schaff Trend Cycle), QQE Mod: Momentum and cycle tools that parse direction from crossovers, zero-line behavior, and momentum shifts.
- Donchian Trend Ribbon, Chandelier Exit: Trend and exit tools that can validate breakouts or sustained trend strength.
- ADX/DMI: Measures trend strength and directional movement via +DI/-DI relationships and minimum ADX thresholds.
- RSI and Stochastic: Use crossovers, level exits, or threshold filters to gate entries based on overbought/oversold dynamics or relative strength trends.
- Vortex, Chaikin Money Flow, VWAP, Bull Bear Power, ROC, Wolfpack Id, Hull Suite: A diverse set of directional, momentum, and volume-based indicators to suit different markets and styles.
- Trendline Breakout and Range Detector: Price-behavior filters that confirm signals during breakouts or within defined ranges.
Confirmation Filters
- Each filter is optional. When enabled, it must validate the leading condition for a signal to pass. Examples:
- EMA Filter: Requires price to be above a specified EMA for longs and below for shorts, filtering signals that contradict broader trend or baseline levels.
- 2 EMA Cross and 3 EMA Cross: Enforce moving average cross conditions (fast above slow for long, the reverse for short) or a three-line stacking logic for more stringent trend alignment.
- RQK, Supertrend, Half Trend, Donchian, QQE, Hull, MACD (crossover vs. zero-line), AO (zero line or AC momentum variants), SSL: Each adds its characteristic validation pattern.
- RSI family (MA cross, exits OB/OS zones, threshold levels) plus RSI MA direction and RSI/RSI MA limits: Multiple ways to constrain signals via relative strength behavior and trajectories.
- Choppiness Index and Damiani Volatility: Prevent entries during ranging conditions or insufficient volatility; choppiness thresholds and volatility states gate the trade.
- VWAP, Volume modes (above MA, simple up/down, delta), Chaikin Money Flow: Volume and flow conditions that ensure signals happen in supportive liquidity or accumulation/distribution contexts.
- ADX/DMI thresholds: Demand a minimum trend strength and directional DI alignment to reduce whipsaw trades.
- Trendline Breakout and Range Detector: Confirm that the price is breaking structure or remains within active range consistent with the leading setup.
- By combining several filters you can create strict, conservative entries or looser setups depending on your goals.
Range Filter Engine
- A core building block, the Range Filter uses conditional EMA and SMA functions to compute adaptive bands around a dynamic centerline. It supports two types:
- Type 1: The centerline updates when price exceeds the band thresholds; bands define acceptable drift ranges.
- Type 2: Uses quantized steps (via floor operations) relative to the previous centerline to handle larger moves in discrete increments.
- The engine offers smoothing for range values using a secondary EMA and can switch between raw and averaged outputs. Its hi/lo bands and centerline compose a corridor that defines directional movement and potential breakout confirmation.
Signal Construction
- The script computes:
- leadinglongcond and leadingshortcond : The primary directional signals from the chosen leading indicator.
- longCond and shortCond : Final signals formed by combining the leading conditions with all enabled confirmations. Each confirmation contributes a boolean gate. If a filter is disabled, it contributes a neutral pass-through, keeping the logic intact without enforcing that condition.
- Expiry Logic: The code counts consecutive bars where the leading condition remains true. If confirmations do not line up within the user-defined “Signal Expiry Candle Count,” the setup is abandoned and the signal does not trigger.
- Alternation: An optional state ensures that long and short signals alternate. This can reduce repeated entries in the same direction without a clear reset.
- Finally, longCondition and shortCondition represent the actionable signals after expiry and alternation logic. These drive the label plotting and alert conditions.
Visualization
- Buy and Sell Labels: When longCondition or shortCondition confirm, the script plots annotated labels directly on the chart, making entries easy to see at a glance. The labels use color coding and clear text tags (“long” vs. “short”).
- Dashboard: A table summarizes the status of the leading indicator and all confirmations. Each row shows the indicator label and whether it passed (✔️) or failed (❌) on the current bar. This intensely practical UI helps you diagnose why a signal did or did not trigger, empowering faster strategy iteration and parameter tuning.
- Failed Confirmation Markers: If a setup expires (count exceeds the limit) and confirmations failed to align, the script can mark the chart with a small label and provide a tooltip listing which confirmations did not pass. It’s a helpful audit trail to understand missed trades or prevent “chasing” invalid signals.
- Data Window Values: The script outputs signal states to the data window, which can be useful for debugging or building composite conditions in multi-indicator templates.
Inputs and Parameters
- You control the indicator from a comprehensive input panel:
- Setup: Signal expiry count, whether to enforce alternating signals, and whether to display labels and the dashboard (including position and size).
- Leading Indicator: Choose the primary signal generator from the large list.
- Per-Filter Toggles: For each confirmation, a respect... toggle enables or disables it. Many include sub-options (like MACD type, Stochastic mode, RSI mode, ADX variants, thresholds for choppiness/volatility, etc.) to fine-tune behavior.
- Range Filter Settings: Choose type and behavior; select default vs. DW mode and smoothing. The underlying functions adjust band sizes using ATR, average change, standard deviation, or user-defined scales.
- Because everything is customizable, you can adapt the indicator to different assets, volatility regimes, and timeframes.
Alerts and Automation
- The script defines alert conditions tied to longCondition and shortCondition . You can set these alerts in your chart to trigger notifications or webhook calls for automated execution in external bots. The alert text is simple, and you can configure your own message template when creating alerts in the chart, including JSON payloads for algorithmic integration.
Typical Workflow
- Select a Leading Indicator aligned with your style. For trend following, Supertrend or SSL may be appropriate; for momentum, MACD or TSI; for range/trend-change detection, Range Filter, RQK, or Donchian.
- Add a few key Confirmation Filters that complement the leading signal. For example:
- Pair Supertrend with EMA Filter and RSI MA Direction to ensure trend alignment and positive momentum.
- Combine MACD Crossover with ADX/DMI and Volume Above MA to avoid signals in low-trend or low-liquidity conditions.
- Use RQK with Choppiness Index and Damiani Volatility to only act when the market is trending and volatile enough.
- Set a sensible Signal Expiry Candle Count. Shorter expiry keeps entries timely and reduces lag; longer expiry captures setups that mature slowly.
- Observe the Dashboard during live markets to see which filters pass or fail, then iterate. Tighten or loosen thresholds and filter combinations as needed.
- For automation, turn on alerts for the final conditions and use webhook payloads to notify your trading robot.
Strengths and Practical Notes
- Flexibility: The indicator is a toolkit rather than a single rigid model. It lets you test different combinations rapidly and visualize outcomes immediately.
- Clarity: Labels, dashboard, and failed-confirmation markers make it easy to audit behavior and refine settings without digging into code.
- Robustness: The expiry and alternation options add discipline, avoiding the temptation to enter late or repeatedly in one direction without a reset.
- Modular Design: The logical gates (“respect…”) make the behavior transparent: if a filter is on, it must pass; if it’s off, the signal ignores it. This keeps reasoning clean.
- Avoiding Overfitting: Because you can stack many filters, it’s tempting to over-constrain signals. Start simple (one leading indicator and one or two confirmations). Add complexity only if it demonstrably improves your edge across varied market regimes.
Limitations and Recommendations
- No single configuration is universally optimal. Markets change; tune filters for the instrument and timeframe you trade and revisit settings periodically.
- Trend filters can underperform in choppy markets; likewise, momentum filters can false-trigger in quiet periods. Consider using Choppiness Index or Damiani to gate signals by regime.
- Use expiry wisely. Too short may miss good setups that need a few bars to confirm; too long may cause late entries. Balance responsiveness and accuracy.
- Always consider risk management externally (position sizing, stops, profit targets). The indicator focuses on signal quality; combining it with robust trade management methods will improve results.
Example Configurations
- Trend-Following Setup:
- Leading: Supertrend uptrend for longs and downtrend for shorts.
- Confirmations: EMA Filter (price above 200 EMA for long, below for short), ADX/DMI (trend strength above threshold with +DI/-DI alignment), Volume Above MA.
- Expiry: 3–4 bars to keep entries timely.
- Result: Strong bias toward sustained moves while avoiding weak trends and thin liquidity.
- Mean-Reversion to Momentum Crossover:
- Leading: RSI exits from OB/OS zones (e.g., RSI leaves oversold for long and leaves overbought for short).
- Confirmations: 2 EMA Cross (fast crossing slow in the same direction), MACD zero-line behavior for added momentum validation.
- Expiry: 2–3 bars for responsive re-entry.
- Result: Captures momentum transitions after short-term extremes, with extra confirmation to reduce head-fakes.
- Range Breakout Focus:
- Leading: Range Filter Type 2 or Donchian Trend Ribbon to detect breakouts.
- Confirmations: Damiani Volatility (avoid low-volatility false breaks), Choppiness Index (prefer trend-ready states), ROC positive/negative threshold.
- Expiry: 1–3 bars to act on breakout windows.
- Result: Better alignment to breakout dynamics, gating trades by volatility and regime.
Conclusion
- This indicator is a comprehensive, configurable framework that merges a chosen leading signal with an array of corroborating filters, disciplined expiry handling, and intuitive visualization. It’s designed to help you build high-quality entry signals tailored to your approach, whether that’s trend-following, breakout trading, momentum capturing, or a hybrid. By surfacing pass/fail states in a dashboard and allowing alert-based automation, it bridges the gap between discretionary analysis and systematic execution. With sensible parameter tuning and thoughtful filter selection, it can serve as a robust backbone for signal generation across diverse instruments and timeframes.
