Signal buy and sell (Simple Signals)إعدادات المؤشرات
ema_length = input.int(50, title="EMA Length"):
يسمح للمستخدم بتحديد طول المتوسط المتحرك الأسي (EMA) الافتراضي (القيمة الافتراضية هي 50).
هذه القيمة تمثل عدد الشموع المستخدمة لحساب المتوسط المتحرك الأسي.
حساب المتوسط المتحرك الأسي (EMA)
ema_value = ta.ema(close, ema_length):
ta.ema: دالة من مكتبة TradingView تحسب المتوسط المتحرك الأسي.
close: السعر الإغلاق لكل شمعة.
ema_length: طول المتوسط المتحرك (عدد الشموع المستخدم).
إشارات الشراء والبيع
buy_signal = ta.crossover(close, ema_value):
ta.crossover: يتحقق مما إذا كان السعر (close) قد اخترق خط EMA صعودًا.
إذا تحقق الشرط، يتم توليد إشارة شراء (buy_signal).
sell_signal = ta.crossunder(close, ema_value):
ta.crossunder: يتحقق مما إذا كان السعر (close) قد اخترق خط EMA هبوطًا.
إذا تحقق الشرط، يتم توليد إشارة بيع (sell_signal).
رسم المتوسط المتحرك الأسي
plot(ema_value, color=color.yellow, linewidth=2, title="EMA"):
يرسم خط المتوسط المتحرك الأسي (EMA) على الرسم البياني.
color=color.yellow: يحدد اللون الأصفر للخط.
linewidth=2: يحدد سمك الخط ليكون أكثر وضوحًا.
title="EMA": يظهر كاسم للخط عند عرض تفاصيل المؤشر.
رسم إشارات الشراء والبيع
plotshape(series=buy_signal, location=location.belowbar, color=color.green, style=shape.triangleup, title="Buy Signal", text="BUY"):
يظهر سهم أخضر (شكل مثلث) أسفل الشمعة التي تولدت عندها إشارة الشراء.
plotshape(series=sell_signal, location=location.abovebar, color=color.red, style=shape.triangledown, title="Sell Signal", text="SELL"):
يظهر سهم أحمر (شكل مثلث مقلوب) أعلى الشمعة التي تولدت عندها إشارة البيع.
إشعارات التنبيه
if (buy_signal) alert("Buy Signal detected on Gold!", alert.freq_once_per_bar):
عند ظهور إشارة شراء، يتم إرسال تنبيه مكتوب: "Buy Signal detected on Gold!".
alert.freq_once_per_bar: يضمن إرسال التنبيه مرة واحدة لكل شمعة.
if (sell_signal) alert("Sell Signal detected on Gold!", alert.freq_once_per_bar):
عند ظهور إشارة بيع، يتم إرسال تنبيه مكتوب: "Sell Signal detected on Gold!".
الهدف من المؤشر:
المؤشر يساعد المتداولين في تحديد نقاط الشراء والبيع استنادًا إلى تقاطع السعر مع المتوسط المتحرك الأسي (EMA).
يوفر رؤية بصرية واضحة بفضل الأسهم الملونة، ويتيح إشعارات تنبيه لتجنب تفويت الإشارات أثناء التداول.
كيفية تحسين المؤشر:
إضافة فلاتر إضافية مثل RSI أو تحليل الاتجاه العام لتحسين دقة الإشارات.
استخدام أطوال متعددة للـ EMA لتأكيد الاتجاه.
تعديل التنبيهات لتشمل المزيد من التفاصيل مثل السعر الحالي.
Индикаторы и стратегии
Predictive Ranges, SMA and RSI based strategyThis strategy combines three powerful technical indicators: Predictive Ranges, Simple Moving Average (SMA), and Relative Strength Index (RSI), to help identify potential market entry and exit points.
Key Features :
Predictive Ranges: The strategy utilizes predictive price levels (such as support and resistance levels) to anticipate potential price movements and possible breakouts. These levels act as critical points for making trading decisions.
SMA (Simple Moving Average) : A 200-period SMA is incorporated to determine the overall market trend. The strategy trades in alignment with the direction of the SMA, taking long positions when the price is above the SMA and short positions when it is below. This helps ensure the strategy follows the prevailing market trend.
RSI (Relative Strength Index) : The strategy uses the RSI (14-period) to gauge whether the market is overbought or oversold. A value above 70 signals that the asset may be overbought, while a value below 30 indicates that it might be oversold. These conditions are used to refine entry and exit points.
Entry & Exit Logic :
Long Entry: The strategy enters a long position when the price crosses above the predictive resistance level (UpLevel1/UpLevel2), and RSI is in the oversold region (below 30), signaling potential upward movement.
Short Entry: The strategy enters a short position when the price crosses below the predictive support level (LowLevel1/LowLevel2), and RSI is in the overbought region (above 70), signaling potential downward movement.
Exit Strategy : The exit levels are determined based on the predictive range levels (e.g., UpLevel1, UpLevel2, LowLevel1, LowLevel2), ensuring that trades are closed at optimal levels. A stop loss and take profit are also applied, based on a user-defined percentage, allowing for automated risk management.
Strategy Advantages:
Trend Following: By using SMA and predictive ranges, this strategy adapts to the prevailing market trend, enhancing its effectiveness in trending conditions.
RSI Filtering: The RSI helps avoid trades in overbought/oversold conditions, refining entry signals and improving the likelihood of success.
Customizable: Traders can adjust parameters such as stop loss, take profit, and predictive range levels, allowing them to tailor the strategy to their preferred risk tolerance and market conditions.
This strategy is designed for traders who prefer a combination of trend-following and mean-reversion techniques, with a focus on predictive market levels and essential momentum indicators to improve trade accuracy.
Support my work through donations!
Solana (SOL) wallet address: 3wRoqskFtrrbkGFXYWEYHNbEzaYifAk6GbojmEbR9iRq
Fixed Range Horizontal Support ResistanceThis indicator is best used to plot the round number of Support Resistance. We take Crude Oil as an example. Price usually reacts when it is around 60.50, 70.00, 70.50, 71.00 and so on. So, having this indicator is the easiest way to have one of the strongest S&R or key levels plotted on your chart.
You can use candlestick patterns and other indicators such as MACD to filter the trade signal when the price reaches the lines.
//ChatGPT produced the codes for this indicator using my prompts//
Explanation of the script:
First Line Price Input: The user inputs the price for the first horizontal line. For example, if you are trading Natural Gas and currently the price is around 3.908, just choose 4.000 as the first Line Price input.
Tick Range Difference Input: The user defines the tick range between each horizontal line. I suggest that you put 25 or 50, especially if you want to day trade.
Colour, Line Style, and Thickness: The user can choose the colour, style (solid, dotted, dashed), and thickness of the lines.
Plotting Horizontal Lines:
The script plots 10 lines above the first line and 10 lines below it.
The lines are spaced by the defined tick range.
AdibXmos// © AdibXmos
//@version=5
indicator('Sood Indicator V2 ', overlay=true, max_labels_count=500)
show_tp_sl = input.bool(true, 'Display TP & SL', group='Techical', tooltip='Display the exact TP & SL price levels for BUY & SELL signals.')
rrr = input.string('1:2', 'Risk to Reward Ratio', group='Techical', options= , tooltip='Set a risk to reward ratio (RRR).')
tp_sl_multi = input.float(1, 'TP & SL Multiplier', 1, group='Techical', tooltip='Multiplies both TP and SL by a chosen index. Higher - higher risk.')
tp_sl_prec = input.int(2, 'TP & SL Precision', 0, group='Techical')
candle_stability_index_param = 0.5
rsi_index_param = 70
candle_delta_length_param = 4
disable_repeating_signals_param = input.bool(true, 'Disable Repeating Signals', group='Techical', tooltip='Removes repeating signals. Useful for removing clusters of signals and general clarity.')
GREEN = color.rgb(29, 255, 40)
RED = color.rgb(255, 0, 0)
TRANSPARENT = color.rgb(0, 0, 0, 100)
label_size = input.string('huge', 'Label Size', options= , group='Cosmetic')
label_style = input.string('text bubble', 'Label Style', , group='Cosmetic')
buy_label_color = input(GREEN, 'BUY Label Color', inline='Highlight', group='Cosmetic')
sell_label_color = input(RED, 'SELL Label Color', inline='Highlight', group='Cosmetic')
label_text_color = input(color.white, 'Label Text Color', inline='Highlight', group='Cosmetic')
stable_candle = math.abs(close - open) / ta.tr > candle_stability_index_param
rsi = ta.rsi(close, 14)
atr = ta.atr(14)
bullish_engulfing = close < open and close > open and close > open
rsi_below = rsi < rsi_index_param
decrease_over = close < close
var last_signal = ''
var tp = 0.
var sl = 0.
bull_state = bullish_engulfing and stable_candle and rsi_below and decrease_over and barstate.isconfirmed
bull = bull_state and (disable_repeating_signals_param ? (last_signal != 'buy' ? true : na) : true)
bearish_engulfing = close > open and close < open and close < open
rsi_above = rsi > 100 - rsi_index_param
increase_over = close > close
bear_state = bearish_engulfing and stable_candle and rsi_above and increase_over and barstate.isconfirmed
bear = bear_state and (disable_repeating_signals_param ? (last_signal != 'sell' ? true : na) : true)
round_up(number, decimals) =>
factor = math.pow(10, decimals)
math.ceil(number * factor) / factor
if bull
last_signal := 'buy'
dist = atr * tp_sl_multi
tp_dist = rrr == '2:3' ? dist / 2 * 3 : rrr == '1:2' ? dist * 2 : rrr == '1:4' ? dist * 4 : dist
tp := round_up(close + tp_dist, tp_sl_prec)
sl := round_up(close - dist, tp_sl_prec)
if label_style == 'text bubble'
label.new(bar_index, low, 'BUY', color=buy_label_color, style=label.style_label_up, textcolor=label_text_color, size=label_size)
else if label_style == 'triangle'
label.new(bar_index, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_triangleup, textcolor=TRANSPARENT, size=label_size)
else if label_style == 'arrow'
label.new(bar_index, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_arrowup, textcolor=TRANSPARENT, size=label_size)
label.new(show_tp_sl ? bar_index : na, low, 'TP: ' + str.tostring(tp) + ' SL: ' + str.tostring(sl), yloc=yloc.price, color=color.gray, style=label.style_label_down, textcolor=label_text_color)
if bear
last_signal := 'sell'
dist = atr * tp_sl_multi
tp_dist = rrr == '2:3' ? dist / 2 * 3 : rrr == '1:2' ? dist * 2 : rrr == '1:4' ? dist * 4 : dist
tp := round_up(close - tp_dist, tp_sl_prec)
sl := round_up(close + dist, tp_sl_prec)
if label_style == 'text bubble'
label.new(bear ? bar_index : na, high, 'SELL', color=sell_label_color, style=label.style_label_down, textcolor=label_text_color, size=label_size)
else if label_style == 'triangle'
label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_triangledown, textcolor=TRANSPARENT, size=label_size)
else if label_style == 'arrow'
label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_arrowdown, textcolor=TRANSPARENT, size=label_size)
label.new(show_tp_sl ? bar_index : na, low, 'TP: ' + str.tostring(tp) + ' SL: ' + str.tostring(sl), yloc=yloc.price, color=color.gray, style=label.style_label_up, textcolor=label_text_color)
alertcondition(bull or bear, 'BUY & SELL Signals', 'New signal!')
alertcondition(bull, 'BUY Signals (Only)', 'New signal: BUY')
alertcondition(bear, 'SELL Signals (Only)', 'New signal: SELL')
Smart Wick Concept (SWC)Smart Wick Concept (SWC)
The Smart Wick Concept (SWC) is a unique trend-following strategy designed to capture precise entry points in trending markets. This indicator identifies trade opportunities based on higher timeframe trends and wick behavior on lower timeframes, making it an effective tool for intraday and swing traders.
Key Features:
Trend Identification:
SWC uses the H1 timeframe to define the primary market trend (bullish or bearish), ensuring alignment with the overall market direction.
Precise Entry Signals:
Entry opportunities are generated on the M15 timeframe when a candle's wick interacts with the prior candle's range. This approach minimizes false signals and enhances accuracy.
Stop Loss and Take Profit Levels:
The indicator automatically calculates suggested stop loss and take profit levels based on market dynamics, providing traders with a clear risk-reward framework.
Customizable Parameters:
SWC allows traders to adjust key settings, such as the higher timeframe and minimum trend range, to align with their trading preferences and market conditions.
How It Works:
Bullish Entry:
Higher timeframe trend must be bullish.
A M15 candle must dip below the previous candle’s low and close back above it, signaling a potential buy opportunity.
Bearish Entry:
Higher timeframe trend must be bearish.
A M15 candle must exceed the previous candle’s high and close back below it, signaling a potential sell opportunity.
Risk Management:
Stop loss is placed at the low (for buys) or high (for sells) of the current M15 candle.
Take profit targets are calculated at twice the risk, ensuring a favorable risk-reward ratio.
Benefits:
Aligns trades with market momentum.
Reduces noise by filtering out weak or sideways trends.
Provides a structured approach to trading XAUUSD and other volatile instruments.
Use Cases:
The Smart Wick Concept is ideal for traders looking for a disciplined and data-driven approach to trading. While it is optimized for XAUUSD, it can also be applied to other trending markets such as major currency pairs or indices with some parameter adjustments.
Disclaimer:
This indicator is a trading tool and should not be used as a standalone strategy. Always backtest the indicator thoroughly and use proper risk management to protect your capital. Past performance does not guarantee future results.
Dynamic Pairs Trading Strategy[Kopottaja]Dynamic Pairs Trading Strategy
Key Features:
Spread Monitoring:
The strategy computes the spread between two assets (Primary Asset and Secondary Asset) and tracks its deviation from the mean using a Z-score.
Threshold-Based Entry and Exit:
Entry Signal:
A long position is initiated when the Z-score falls below the lower threshold (indicating the spread is unusually low).
A short position is initiated when the Z-score exceeds the upper threshold (indicating the spread is unusually high).
Exit Signal:
Positions are closed when the Z-score returns to a neutral range, as defined by the Exit Threshold.
Highly Effective with Finnish Asset Pairs:
This strategy is particularly effective for pairs like Nordea (NDA_FI) and Aktia (AKTIA) due to their historical correlation and similar market dynamics.
Customizable Parameters:
Users can adjust the Lookback Period, Entry Threshold, and Exit Threshold to suit different asset pairs or market conditions.
Visualizations:
The Z-score and threshold levels are plotted for clear real-time monitoring.
Recommended Asset Pairs: This strategy is flexible and can be applied to various correlated asset pairs. Examples include:
Nordea (NDA_FI) and Aktia (AKTIA):
Both are Finnish financial institutions with a high degree of correlation, making them an ideal pair for this strategy.
Fortum (FORTUM) and Neste (NESTE):
Two major players in the Finnish energy sector, exhibiting co-movement due to similar industry dynamics.
Kone (KNEBV) and Cargotec (CGCBV):
Industrial companies with shared exposure to global markets, providing opportunities for pairs trading.
How It Works:
Spread Calculation:
The spread between the two assets is calculated in real time (Primary Asset - Secondary Asset).
Z-Score Normalization:
The spread is standardized into a Z-score, measuring how far it deviates from its mean over a user-defined Lookback Period.
Trade Execution:
A long or short position is opened when the Z-score crosses the entry thresholds.
Positions are closed when the Z-score returns to a neutral range (within the Exit Threshold).
Why Use This Strategy?
This strategy is designed for market-neutral trading, allowing traders to profit from the mean-reverting tendencies of correlated assets while minimizing directional market risk. Its effectiveness is enhanced when applied to highly correlated asset pairs like Nordea and Aktia, or other similar pairs from the Finnish or global markets.
Yo! Check Out My Bitcoin Neural AI Trading StrategyHey guys and gals, I’ve been working on this trading strategy for Bitcoin, and I’m super excited to share it with you. It’s called the "BITCOIN BTC Neural AI Strategy," and it’s like a mashup of some classic indicators—RSI, MACD, and EMA—mixed together into one cool system. Think of it as your trading buddy with a brain. This is the strategy script, but I also have the indicator script which can be used to automate buy and sell signals directly to your phone, email, or your bot.
What It Does
Okay, so here’s the deal. This script takes:
RSI: Measures momentum (like, is the market pumped or tired?).
MACD: Checks if momentum is gaining or slowing (super handy for spotting moves).
EMA: Follows the big trend (like the market’s vibe over time).
Then, it smooshes all this data together and spits out a single number I call the Neural Proxy Value. If the value goes above 0.5, it’s like, “Go long, bro!” And if it drops below -0.5, it’s telling you, “Time to short.”
Backtest Results
Okay, let’s get real—backtesting matters. Check out the results for yourself in the attached performance summary. Some notables:
I included slippage & I included commission.
26% net profit
The profit also seems somewhat consistent which I think is the most important notable in the performance.
Large number of trades :)
Here’s the setup I use:
The script is ready for BITCOIN and I deploy it on the 1 hour timeframe because I feel like you 1 hour bars get enough data to make solid judgements.
How to Use It
Look at the Neural Proxy line—it’s color-coded and easy to spot.
Long when the line goes over 0.5. Short when it dips below -0.5.
Combine it with your own analysis or other tools to confirm the signals
Why You’ll Love It
This isn’t just another copy-paste of popular indicators. It’s like a cheat code that combines them into one number you can actually use. Plus, you can adjust it however you want. It’s great for people who like flexibility but don’t want to overcomplicate things.
Twiggs Combined Indicator
Comprehensive Description of the Twiggs Combined Indicator
The Twiggs Combined Indicator is a multi-faceted trading tool designed to analyze market behavior by integrating several technical indicators. It assesses money flow, momentum, trend strength, and volatility to provide a comprehensive understanding of market dynamics. By combining these inputs, the script calculates a final state—Bullish, Bearish, or Neutral—to assist traders in making informed decisions.
Indicators in the Script and Their Roles:
Twiggs Money Flow (TMF):
Purpose: Detects accumulation (buying pressure) or distribution (selling pressure) based on price and volume.
Calculation:
Calculates a weighted average of price movements (hlc3 = average of high, low, and close) and multiplies it by the volume to generate the money flow volume.
Applies an EMA to smooth this volume data over the specified lengthTMF.
Normalizes this by dividing it by the EMA of volume over the same period.
Signal Line:
A Simple Moving Average (SMA) of the TMF smooths out short-term fluctuations.
Interaction:
TMF crossing above its signal line indicates a potential bullish signal, suggesting accumulation.
TMF crossing below the signal line suggests bearishness due to distribution.
Momentum Oscillator:
Purpose: Captures the rate of change in price to identify momentum trends.
Calculation:
Compares the current price (source) to the price lengthMomentum periods ago.
Interaction:
A positive value indicates upward momentum.
A negative value reflects downward momentum.
Crosses around zero are often interpreted as potential trend shifts.
Smoothed Momentum:
Purpose: Provides a refined view of momentum by reducing noise in the raw Momentum Oscillator.
Calculation:
Applies an EMA to the Momentum Oscillator over the user-defined lengthSmoothedMomentum.
Interaction:
Offers more reliable signals for momentum trends, particularly in volatile markets.
Trend Index:
Purpose: Measures the direction and strength of a price trend.
Calculation:
Subtracts the Simple Moving Average (SMA) of the close price from the current close price.
Applies an EMA to this difference to smooth the trend strength over the trendIndexLength.
Interaction:
Positive values suggest an uptrend.
Negative values indicate a downtrend.
Crosses above or below zero signal potential trend reversals.
Volatility:
Purpose: Assesses price variability over time to gauge market uncertainty.
Calculation:
Computes the standard deviation of closing prices over the specified volatilityLength.
Interaction:
High volatility indicates greater price fluctuations and potentially higher risk.
Low volatility reflects a more stable market environment.
Overall State Calculation and Label:
State Aggregation:
Each indicator contributes to an aggregated score:
+1 if TMF > Signal, Momentum > 0, Smoothed Momentum > 0, or Trend Index > 0.
State Classification:
Bullish: Score ≥ 3.
Neutral: Score = 2.
Bearish: Score ≤ 1.
Visual Representation:
A dynamic label displays the current state near the TMF plot:
Green for Bullish.
Red for Bearish.
Gray for Neutral.
The label updates dynamically with each new bar, providing real-time insights.
Alerts and Visual Cues:
Alerts:
Triggered for:
TMF crossing its signal line.
Momentum or Smoothed Momentum crossing zero.
Trend Index crossing zero.
These alerts help traders identify critical moments to act.
Plots:
TMF and its signal line are plotted with a color-coded fill to highlight crossovers.
Momentum, Smoothed Momentum, Trend Index, and Volatility are individually plotted with distinct colors for clarity.
Interaction Between Indicators:
The indicators complement each other to create a robust analysis framework:
TMF adds context about volume-weighted price movements.
Momentum and Smoothed Momentum confirm the strength and direction of price movements.
Trend Index validates the underlying trend’s strength and direction.
Volatility provides critical context about market conditions, indicating whether signals occur in stable or unstable environments.
When multiple indicators align (e.g., TMF > Signal, positive Momentum, and Trend Index > 0), the script identifies Bullish conditions, increasing confidence in trading decisions. Conversely, when most indicators signal negativity, a Bearish state is flagged.
Practical Use:
Market Analysis:
Offers a holistic view of market conditions by combining volume, price, momentum, and trend analysis.
Decision-Making:
Simplifies complex analysis into a single label with actionable alerts.
Risk Management:
Identifies volatile conditions, helping traders adapt their strategies.
This comprehensive approach makes the Twiggs Combined Indicator a versatile tool for traders seeking both short-term opportunities and long-term market insights.
Divergência de Volume com Média Móvel### Como Funciona:
1. Médias Móveis: O indicador calcula a média móvel do preço e do volume para suavizar as flutuações.
2. Divergências: Ele verifica se há divergências entre o preço e o volume. Se o preço está subindo enquanto o volume está caindo, isso pode sinalizar uma possível reversão de alta. O oposto é verdadeiro para uma reversão de baixa.
3. Sinalização: O indicador plota setas no gráfico para indicar onde essas divergências ocorrem, facilitando a visualização.
### Considerações Finais:
- Teste o indicador em diferentes ativos e períodos para avaliar sua eficácia.
- Combine com outras ferramentas de análise técnica para aumentar a confiabilidade das suas decisões.
Lembre-se de que todos os investimentos envolvem riscos, e é sempre bom realizar uma análise cuidadosa antes de tomar decisões financeiras
Zero Lag Trend Indicator - KetbotAI
Features of the Indicator:
Dynamic Trend Lines:
Green Line: Signals a bullish trend, indicating upward momentum in the market.
Red Line: Signals a bearish trend, indicating downward momentum in the market.
These lines dynamically adjust to market conditions, making it easy to identify trends at a glance.
Trend Signals:
"Trend Up" (Green): Marks the start of a bullish trend. Look for these signals as potential buying opportunities.
"Trend Down" (Red): Marks the start of a bearish trend. Look for these signals as potential selling opportunities.
Green Arrows: Highlight potential buy entry points.
Red Arrows: Highlight potential sell entry points.
Momentum Zones (Shaded Background):
Green Zones: Represent periods of bullish momentum, confirming the strength of an uptrend.
Red Zones: Represent periods of bearish momentum, confirming the strength of a downtrend.
These zones provide a clear visual cue for market sentiment.
How to Trade with This Indicator:
Identify Trend Direction:
Use the green and red trend lines to determine the market's direction:
A green line indicates a bullish trend and favors long (buy) positions.
A red line indicates a bearish trend and favors short (sell) positions.
Enter Trades at Reversal Points:
Enter a buy trade:
When the trend shifts from red to green.
Confirm with the "Trend Up" label or green arrow for additional confidence.
Enter a sell trade:
When the trend shifts from green to red.
Confirm with the "Trend Down" label or red arrow for additional confidence.
Use Shaded Zones for Confirmation:
Green Zones: Confirm that bullish momentum is dominating, supporting long trades.
Red Zones: Confirm that bearish momentum is dominating, supporting short trades.
Plan Your Exits:
For long trades, exit when the trend transitions back to red or when resistance levels are hit.
For short trades, exit when the trend transitions back to green or when support levels are hit.
Combine with Additional Indicators:
Pair this indicator with momentum tools like RSI, MACD, or volume analysis for enhanced signal confirmation.
Why Use This Indicator?
Simplicity:
Clean, easy-to-read signals help you make trading decisions with clarity and confidence.
Time-Saving:
Eliminates guesswork by highlighting trend direction and key entry/exit points.
Versatility:
Suitable for intraday, swing, or position traders who want a reliable trend-based tool.
Custom Alerts:
Set alerts for trend transitions (red to green or green to red) or when arrows appear, so you never miss a trade.
Suggestions for Optimization:
Adjust Sensitivity:
Fine-tune the settings to match your preferred trading style or market conditions.
Backtesting:
Test the indicator on historical data to build confidence in its accuracy and refine your strategy.
Multi-Timeframe Analysis:
Use the indicator across different timeframes (e.g., 1H, 4H) to align short-term entries with long-term trends.
This Gold Trend Indicator is your companion for identifying trends, capturing reversals, and making informed trading decisions. Whether you're a beginner or an experienced trader, its intuitive design and powerful signals will enhance your trading performance.
Abz Simple TrendThe goal of this indicator is to provide an "at-a-glance" trend-oriented moving averages indicator that helps with medium and long term trades and investments.
It should work on any chart timeframe but is intended for people interested in how the price is trending over longer timeframes.
Everything in the indicator is calculated against a weekly chart. This means if you're viewing it on another chart timeframe, such as the daily chart, the indicator will show the lines in the same places.
This indicator is intended to be easy enough for people without significant technical chart reading knowledge: Red means the market momentum is likely negative. Green is "bullish".
This is a lagging indicator. If you're new, this may seem like a bad thing, but markets eventually "revert to the mean". They tend to overshoot up and down from major trend lines, but eventually reconnect.
The indicator tracks 4 different moving averages:
- The Main moving average that is the thick, bright line on the chart
- The momentum line
- The 28w moving average (with smoother applied)
- The slow moving average (200w with special filters and smoother applied). This is the final mean reversion line.
The indicator is set up with multiple alerts and you can adjust everything via the settings.
Just remember that no indicator is a "cure all". You should not blindly trade based on the signals this gives out. It is not optimized to be the perfect trading bot but it will help to validate or invalidate your decisions. It's my favorite "at-a-glance" indicator, but I always look at the price action and see when the price reverses as that will occur before the indicator confirms it.
Other indicators that may help you confirm your decisions include: Volume, MACD, and RSI (especially when you understand divergences between the price action and the RSI).
Velora RSI & MFI - litethis script can be used to get the perfect buy and stop candles
once the MFI goes lower than 20 and the rsi below 30
you should be looking for a green candle once you got it , you can jump on buy
this bot is by velora
hamid alqwaysim & khaled nedal
Dead Zone HighlighterDead Zone Highlighter: A precise tool for marking low-probability trading zones between the daily open and the last 15-minute close of the first 2 hours. Simplify your decision-making by identifying non-trading zones with clear visual cues.
Volume-Based RSI Color Indicator with MAsThis is not a typical RSI indicator; it is a unique variation that integrates volume analysis and moving averages (MAs) for the RSI. Here's how it stands out:
Volume-Based Color Coding: The RSI line changes color based on it's level
(overbought/oversold) and volume conditions. For example:
Red: RSI is overbought, and volume is significantly higher than average.
Green: RSI is oversold, and volume is significantly higher than average.
Blue: Default color for other scenarios.
RSI Moving Averages: it includes long-period (200) and short-period (20) moving averages of
the RSI, calculated using SMA or EMA, based on user preference. this adds a trend-
following component to the RSI analysis.
Customization Options: The script allows users to adjust parameters like RSI length,
overbought/oversold levels, high-volume multiplier, and MA type lengths.
These enhancements make the indicator more dynamic and tailored for traders looking to incorporate both momentum and volume trends into their strategy.
Edufx AMD~Accumulation, Manipulation, DistributionEdufx AMD Indicator
This indicator visualizes the market cycles using distinct phases: Accumulation, Manipulation, Distribution, and Reversal. It is designed to assist traders in identifying potential entry points and understanding price behavior during these phases.
Key Features:
1. Phases and Logic:
-Accumulation Phase: Highlights the price range where market accumulation occurs.
-Manipulation Phase:
- If the price sweeps below the accumulation low, it signals a potential "Buy Zone."
- If the price sweeps above the accumulation high, it signals a potential "Sell Zone."
-Distribution Phase: Highlights where price is expected to expand and establish trends.
-Reversal Phase: Marks areas where the price may either continue or reverse.
2. Weekly and Daily Cycles:
- Toggle the visibility of Weekly Cycles and Daily Cycles independently through the settings.
- These cycles are predefined with precise timings for each phase, based on your selected on UTC-5 timezone.
3. Customizable Appearance:
- Adjust the colors for each phase directly in the settings to suit your preferences.
- The indicator uses semi-transparent boxes to represent the phases, allowing easy visualization without obstructing the chart.
4. Static Boxes:
- Boxes representing the phases are drawn only once for the visible chart range and do not dynamically delete, ensuring important consistent reference points.
Daily Volatility Percentageindicator Description:
Daily Volatility Percentage Indicator
This indicator displays the daily volatility percentage of each candle directly on your chart. It calculates the difference between the High and Low prices of each candle and converts it into a percentage relative to the Low price. This allows you to quickly and clearly see how volatile each candle is.
Why This Indicator Is Useful:
Analyze Daily Volatility:
Helps identify high or low volatility, which can signal trading opportunities or elevated risk levels in the market.
Quick Decision-Making:
Displays essential data directly on the chart, eliminating the need for external calculations or tools.
Track Asset Behavior:
Suitable for all asset classes (stocks, crypto, forex, etc.), providing a clear view of market fluctuations over time.
Customizable:
Allows you to adjust the label colors and placement according to your preferences for a more personalized experience.
Who Can Benefit:
Day Traders: To spot high-volatility situations ideal for short-term trades.
Trend Traders: To identify assets becoming more volatile, which might indicate trend reversals.
Long-Term Investors: To find periods of relative stability in market movements.
This indicator is an effective tool for anyone looking to understand market dynamics quickly and efficiently.
Swing & Day Trading Strategy dddddThis TradingView Pine Script is designed for swing and day trading, incorporating multiple technical indicators and tools to enhance decision-making. It calculates and plots exponential moving averages (EMAs) for 5, 9, 21, 50, and 200 periods to identify trends and crossovers. The Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) provide momentum and overbought/oversold signals. The script dynamically identifies and marks support and resistance levels based on recent highs and lows, while also detecting and labeling key candlestick patterns such as bullish and bearish engulfing, doji, and hammer candles. Bullish and bearish signals are highlighted on the chart with green and red backgrounds, respectively, and alerts are generated to notify traders of these conditions. All visualizations, including EMAs, support/resistance lines, and candlestick labels, are overlaid directly on the stock chart for easy interpretation. This comprehensive approach assists traders in spotting potential trading opportunities effectively.
High-Sensitivity Breakout IndicatorJust a scalping indicator designed to help make profit in the short term
Adaptive Crypto Trading Strategy with Martingale[Kopottaja]
Adaptive Crypto Trading Strategy with Martingale
Key Features:
Autoencoder-Based Smoothing:
Uses a simple moving average (SMA) to smooth price data and reduce market noise.
Momentum Feature Extraction:
Calculates momentum as the difference between the current price and a longer SMA, simulating CNN-like pattern recognition.
Volatility Thresholds:
Combines momentum signals with volatility levels (measured by standard deviation) to filter high-probability trades.
Martingale Position Sizing:
Automatically increases lot size after losing trades using a configurable multiplier (Martingale Multiplier), with a cap (Maximum Lot Size) to limit risk.
Resets the position size after a winning trade.
Risk Management:
Configurable take-profit and stop-loss percentages to ensure disciplined exits.
Designed for BTC/USDT:
Optimized for trading Bitcoin on short-term timeframes (e.g., 15-minute and 5-minute charts).
How It Works:
Smoothing & Feature Extraction:
Smooths price data over a Smoothing Length period to reduce noise.
Extracts momentum signals and evaluates volatility for trade decision-making.
Entry Conditions:
Long Entry: Triggered when momentum is positive, and volatility exceeds the threshold (Volatility Threshold).
Short Entry: Triggered when momentum is negative, and volatility exceeds the threshold.
Martingale Logic:
After a losing trade, the lot size is increased by the multiplier to recover losses.
Lot size resets to the base size after a profitable trade.
Dynamic Exits:
Positions are automatically closed when the price reaches the take-profit or stop-loss levels.
Customizable Parameters:
Smoothing Length: Adjusts the noise reduction for price data.
Momentum Window: Controls the length of the momentum calculation.
Volatility Threshold: Sets the minimum volatility level required for trade triggers.
Take Profit and Stop Loss: Defines the profit and risk limits for each trade.
Martingale Multiplier: Determines how much to increase the lot size after a losing trade.
Maximum Lot Size: Caps the lot size to prevent excessive risk.
Applications:
Optimized for BTC/USDT trading, particularly on volatile short-term timeframes like 15-minute and 5-minute charts.
Suitable for traders using scalping or intraday strategies looking to exploit high-probability patterns.
Combines advanced statistical techniques with adaptive risk management for robust performance.
GOLDEN BLOCK VER:4-newBlock indicator is based on breakdown.
When a candle closes above previous highest high or below previous lowest low a block is made.
When a candle closes below previous highest high or above previous lowest low the block continues and just high and low are updated.
This indicator is very useful for supply and demand strategy.
Have much profit with this indicator.
Mera khass indicatorSupport and Resistance Channel:
Support Line: This is drawn at the lowest low over the lookback period.
Resistance Line: This is drawn at the highest high over the lookback period.
Both are represented as dotted lines on the chart for better visualization.
Entry Points (Buy/Sell):
Buy: Triggered when the candle is bullish, price is above support, and RSI is in the oversold region (below 30).
Sell: Triggered when the candle is bearish, price is below resistance, and RSI is in the overbought region (above 70).
Exit Points:
Exit Long: Triggered when the price falls below the lowest low over the trendLookback period or if RSI crosses above the overbought level (above 70).
Exit Short: Triggered when the price rises above the highest high over the trendLookback period or if RSI crosses below the oversold level (below 30).
Channel Visualization:
Support and resistance are drawn dynamically as dotted lines that adjust with price.
Signal Alerts:
Alerts are set for Buy, Sell, Exit Long, and Exit Short signals.
Expected Behavior:
Buy signals (green triangles) will appear below the bars when a bullish candle forms, the price is above support, and the RSI is oversold.
Sell signals (red triangles) will appear above the bars when a bearish candle forms, the price is below resistance, and the RSI is overbought.
Exit signals (blue and orange crosses) will appear when it is time to exit based on trend changes or RSI crossing the threshold.
How to Test:
Apply this script to a 15-minute chart (or your preferred timeframe).
Observe the buy/sell signals in relation to the support and resistance levels.
Watch the exit points to check how well the strategy works with the trend and RSI.
Adjust the parameters as needed, such as candleSizeFactor, rsiPeriod, lookback, etc.
This should now give you a more refined visualization and strategy logic that includes entry/exit points, channels for support/resistance, and takes the candlestick patterns, trend analysis, RSI, and CHoCH into account. Let me know if you'd like any further adjustments!
