Optimized ICT Buy and Sell SignalsI understand that you're seeing too many signals, which can make the strategy seem cluttered or overly reactive. To **optimize the strategy** and reduce the frequency of buy and sell signals, we can add a few improvements:
### Optimization Approach:
1. **Increase Lookback Periods**: By increasing the lookback periods for **Market Structure**, **Order Blocks**, and **FVGs**, we can make the strategy less sensitive to every little fluctuation and focus more on stronger trend shifts.
2. **Trend Confirmation with EMA**: Use the **EMA 9** as a trend filter. Only generate signals when the price is above the **EMA 9** for bullish signals and below the **EMA 9** for bearish signals.
3. **Limit Signals to Stronger Price Action**: For example, we can reduce the number of signals by requiring price to be closer to significant **order blocks** or **FVGs**, or only trigger signals when there is a **break of structure** (BoS) and confirmation of a trend reversal.
---
### Optimized Code
```pinescript
//@version=5
indicator("Optimized ICT Buy and Sell Signals", overlay=true)
// --- Input Parameters ---
emaLength = input.int(9, title="EMA Length")
fvgLookback = input.int(10, title="Fair Value Gap Lookback Period")
orderBlockLookback = input.int(30, title="Order Block Lookback Period")
minGapSize = input.float(0.5, title="Min Gap Size (FVG)") // Minimum gap size for FVG detection
// --- EMA 9 (for trend direction) ---
ema9 = ta.ema(close, emaLength)
plot(ema9, title="EMA 9", color=color.blue, linewidth=2)
// --- Market Structure (ICT) ---
// Identify Higher Highs (HH) and Higher Lows (HL) for Bullish Market Structure
hhCondition = high > ta.highest(high, orderBlockLookback) // Higher High
hlCondition = low > ta.lowest(low, orderBlockLookback) // Higher Low
isBullishStructure = hhCondition and hlCondition // Bullish Market Structure condition
// Identify Lower Highs (LH) and Lower Lows (LL) for Bearish Market Structure
lhCondition = high < ta.highest(high, orderBlockLookback) // Lower High
llCondition = low < ta.lowest(low, orderBlockLookback) // Lower Low
isBearishStructure = lhCondition and llCondition // Bearish Market Structure condition
// --- Order Blocks (ICT) ---
// Bullish Order Block (consolidation before upmove)
var float bullishOrderBlock = na
if isBullishStructure
bullishOrderBlock := ta.valuewhen(low == ta.lowest(low, orderBlockLookback), low, 0)
// Bearish Order Block (consolidation before downmove)
var float bearishOrderBlock = na
if isBearishStructure
bearishOrderBlock := ta.valuewhen(high == ta.highest(high, orderBlockLookback), high, 0)
// --- Fair Value Gap (FVG) ---
// Bullish Fair Value Gap (FVG): Gap between a down-close followed by an up-close
fvgBullish = (low < high ) and (high - low > minGapSize) // Bullish FVG condition with gap size filter
// Bearish Fair Value Gap (FVG): Gap between an up-close followed by a down-close
fvgBearish = (high > low ) and (high - low > minGapSize) // Bearish FVG condition with gap size filter
// --- Entry Conditions ---
// Buy Condition: Bullish Market Structure and Price touching a Bullish Order Block or FVG, and above EMA
longCondition = isBullishStructure and (close <= bullishOrderBlock or fvgBullish) and close > ema9
// Sell Condition: Bearish Market Structure and Price touching a Bearish Order Block or FVG, and below EMA
shortCondition = isBearishStructure and (close >= bearishOrderBlock or fvgBearish) and close < ema9
// --- Plot Buy and Sell Signals on the Chart ---
plotshape(series=longCondition, location=location.belowbar, color=color.green, style=shape.labelup, title="Buy Signal", text="BUY", size=size.small)
plotshape(series=shortCondition, location=location.abovebar, color=color.red, style=shape.labeldown, title="Sell Signal", text="SELL", size=size.small)
// --- Highlight Order Blocks ---
plot(bullishOrderBlock, color=color.green, linewidth=1, title="Bullish Order Block", style=plot.style_circles)
plot(bearishOrderBlock, color=color.red, linewidth=1, title="Bearish Order Block", style=plot.style_circles)
// --- Highlight Fair Value Gaps (FVG) ---
bgcolor(fvgBullish ? color.new(color.green, 90) : na, title="Bullish FVG", transp=90)
bgcolor(fvgBearish ? color.new(color.red, 90) : na, title="Bearish FVG", transp=90)
// --- Alerts ---
// Alert for Buy Signals
alertcondition(longCondition, title="Long Signal", message="Optimized ICT Buy Signal: Bullish structure, price touching bullish order block or FVG, and above EMA.")
// Alert for Sell Signals
alertcondition(shortCondition, title="Short Signal", message="Optimized ICT Sell Signal: Bearish structure, price touching bearish order block or FVG, and below EMA.")
```
### Key Optimizations:
1. **Increased Lookback Periods**:
- The `orderBlockLookback` has been increased to **30**. This allows for a larger window for identifying **order blocks** and **market structure** changes, reducing sensitivity to small price fluctuations.
- The `fvgLookback` has been increased to **10** to ensure that only larger price gaps are considered.
2. **Min Gap Size for FVG**:
- A new input parameter `minGapSize` has been introduced to **filter out small Fair Value Gaps (FVGs)**. This ensures that only significant gaps trigger buy or sell signals. The default value is **0.5** (you can adjust it as needed).
3. **EMA Filter**:
- Added a trend filter using the **EMA 9**. **Buy signals** are only triggered when the price is **above the EMA 9** (indicating an uptrend), and **sell signals** are only triggered when the price is **below the EMA 9** (indicating a downtrend).
- This helps reduce noise by confirming that signals are aligned with the broader market trend.
### How to Use:
1. **Apply the script** to your chart and observe the reduced number of buy and sell signals.
2. **Buy signals** will appear when:
- The price is in a **bullish market structure**.
- The price is near a **bullish order block** or filling a **bullish FVG**.
- The price is **above the EMA 9** (confirming an uptrend).
3. **Sell signals** will appear when:
- The price is in a **bearish market structure**.
- The price is near a **bearish order block** or filling a **bearish FVG**.
- The price is **below the EMA 9** (confirming a downtrend).
### Further Fine-Tuning:
- **Adjust Lookback Periods**: If you still find the signals too frequent or too few, you can tweak the `orderBlockLookback` or `fvgLookback` values further. Increasing them will give more weight to the larger market structures, reducing noise.
- **Test Different Timeframes**: This optimized version is still suited for lower timeframes like 15-minutes or 5-minutes but will also work on higher timeframes (1-hour, 4-hour, etc.). Test across different timeframes for better results.
- **Min Gap Size**: If you notice that the FVG condition is too restrictive or too lenient, adjust the `minGapSize` parameter.
### Conclusion:
This version of the strategy should give you fewer, more meaningful signals by focusing on larger market movements and confirming the trend direction with the **EMA 9**. If you find that the signals are still too frequent, feel free to further increase the lookback periods or tweak the FVG gap size.
Grafik Paternleri
Combo_EMA, Fibonacci, Support/Resistance, Buy/Sell SignalsAuto Colored Ema
Fibonacci
Support and Resistance
Buy and Sell Signals
Buy/Sell Signals with 3 indicatorindikator yang menggabungkan rsi , ema , macd
Indikator yang telah kita buat menggabungkan tiga indikator teknikal populer: Exponential Moving Average (EMA), Relative Strength Index (RSI), dan Moving Average Convergence Divergence (MACD). Setiap indikator memiliki tujuan dan cara kerja yang berbeda, namun jika digabungkan, mereka dapat memberikan sinyal yang lebih kuat untuk keputusan trading.
Berikut adalah penjelasan dari setiap indikator yang digunakan dalam skrip tersebut:
1. Exponential Moving Average (EMA):
Tujuan: Menyaring fluktuasi harga jangka pendek dan memberikan gambaran tren harga yang lebih jelas.
Cara Kerja: EMA memberikan bobot lebih pada harga terbaru (lebih sensitif terhadap pergerakan harga saat ini) dibandingkan dengan Simple Moving Average (SMA) yang memberikan bobot yang sama pada semua data harga.
Dalam Skrip:
EMA Short: Digunakan untuk mengikuti pergerakan harga jangka pendek. Biasanya lebih sensitif terhadap pergerakan harga terbaru.
EMA Long: Digunakan untuk mengidentifikasi tren jangka panjang.
Sinyal:
Crossover: Ketika EMA Short (lebih cepat) melintasi ke atas EMA Long (lebih lambat), ini menandakan bahwa harga sedang mengalami momentum bullish (sinyal BUY).
Crossunder: Ketika EMA Short melintasi ke bawah EMA Long, ini menunjukkan bahwa harga kemungkinan sedang mengalami tren bearish (sinyal SELL).
2. Relative Strength Index (RSI):
Tujuan: Mengukur kekuatan relatif dan kelebihan beli atau jual dari harga berdasarkan pergerakan harga sebelumnya.
Cara Kerja: RSI mengukur perbandingan antara kenaikan harga rata-rata dan penurunan harga rata-rata selama periode tertentu. Hasilnya adalah angka yang berada dalam rentang 0 hingga 100.
Level-level Penting:
RSI > 70: Menandakan kondisi overbought, yang berarti harga mungkin sudah terlalu tinggi dan akan segera terkoreksi (sinyal SELL).
RSI < 30: Menandakan kondisi oversold, yang berarti harga mungkin terlalu rendah dan siap untuk naik (sinyal BUY).
Dalam Skrip:
Sinyal BUY terjadi ketika RSI berada di bawah level oversold (misalnya, di bawah 30).
Sinyal SELL terjadi ketika RSI berada di atas level overbought (misalnya, di atas 70).
3. Moving Average Convergence Divergence (MACD):
Tujuan: Menunjukkan hubungan antara dua Exponential Moving Averages (EMA) dan memberikan gambaran tentang kekuatan serta arah tren harga.
Cara Kerja:
MACD Line adalah selisih antara EMA Fast (lebih cepat) dan EMA Slow (lebih lambat).
Signal Line adalah EMA dari MACD Line itu sendiri.
Histogram menunjukkan perbedaan antara MACD Line dan Signal Line. Ketika MACD Line berada di atas Signal Line, ini menunjukkan momentum bullish. Sebaliknya, ketika MACD Line berada di bawah Signal Line, ini menunjukkan momentum bearish.
Dalam Skrip:
Sinyal BUY terjadi ketika MACD Line melintasi ke atas Signal Line, yang menunjukkan bahwa momentum harga sedang bullish.
Sinyal SELL terjadi ketika MACD Line melintasi ke bawah Signal Line, yang menunjukkan momentum harga sedang bearish.
Cara Kerja Indikator Secara Bersamaan:
Sinyal Buy (Beli):
Crossover EMA: Ketika EMA Short melintasi EMA Long dari bawah ke atas, ini menunjukkan bahwa harga mulai bergerak ke arah tren bullish.
RSI Oversold: Ketika RSI di bawah level oversold (misalnya, di bawah 30), ini menunjukkan bahwa harga sudah terlalu rendah dan bisa segera berbalik naik.
MACD Bullish: Ketika MACD Line melintasi ke atas Signal Line, ini menunjukkan bahwa momentum pergerakan harga cenderung ke arah atas.
Sinyal Sell (Jual):
Crossunder EMA: Ketika EMA Short melintasi EMA Long dari atas ke bawah, ini menunjukkan bahwa harga mulai bergerak ke arah tren bearish.
RSI Overbought: Ketika RSI di atas level overbought (misalnya, di atas 70), ini menunjukkan bahwa harga sudah terlalu tinggi dan bisa segera terkoreksi.
MACD Bearish: Ketika MACD Line melintasi ke bawah Signal Line, ini menunjukkan bahwa momentum pergerakan harga cenderung ke arah bawah.
Rangkuman:
EMA digunakan untuk mendeteksi tren jangka panjang dan pendek.
RSI digunakan untuk mengukur apakah pasar sedang jenuh beli (overbought) atau jenuh jual (oversold).
MACD digunakan untuk mengukur kekuatan momentum dan arah tren.
Kombinasi ketiga indikator ini memungkinkan kita untuk mencari konfirmasi yang lebih kuat mengenai apakah kita berada dalam kondisi pasar yang siap untuk BUY atau SELL.
Stochastic DivergenceStochastic Divergence (Boğa ve Ayı Sapmaları) Göstergesi
Bu gösterge, Stokastik Osilatör'ü kullanarak boğa (bullish) ve ayı (bearish) sapmalarını tespit etmek için tasarlanmıştır. Özellikle fiyat hareketlerini analiz ederken destekleyici bir araç olarak kullanılabilir.
Özellikler:
Boğa Sapması: Fiyat yeni bir düşük seviyeye ulaşırken, Stokastik Osilatör daha yüksek bir düşük yapar. Bu, yükseliş potansiyeline işaret eder ve grafikte yeşil bir zemin ile gösterilir.
Ayı Sapması: Fiyat yeni bir yüksek seviyeye ulaşırken, Stokastik Osilatör daha düşük bir yüksek yapar. Bu, düşüş potansiyeline işaret eder ve grafikte kırmızı bir zemin ile gösterilir.
Sinyaller, fiyat hareketindeki olası trend dönüşlerini vurgulamak için çapraz işaretler (xcross) ile işaretlenmiştir.
Görselleştirme için Stokastik K çizgisi, nötr çizgi ve renkli zeminlerle desteklenmiştir.
Kullanım Önerileri:
Destek/Direnç Seviyeleri ile Kombine Edin: Gösterge, yalnızca sapma tespiti yapar. Doğruluğu artırmak için destek ve direnç seviyeleriyle birlikte kullanabilirsiniz.
Diğer Göstergelerle Birleştirin: Örneğin, RSI veya MACD gibi göstergelerle destekleyerek daha güvenilir sinyaller elde edebilirsiniz.
Risk Yönetimi: Göstergeyi kullanırken mutlaka uygun risk yönetimi stratejileri uygulayın.
Görselleştirme:
Yeşil Zemin: Boğa sapması (bullish divergence) sinyali.
Kırmızı Zemin: Ayı sapması (bearish divergence) sinyali.
Çapraz işaretler, sapma noktalarını görsel olarak vurgular.
Kısaca Neden Bu Gösterge?
Fiyat hareketlerindeki gizli veya belirgin sapmaları tespit ederek yatırımcıların daha bilinçli kararlar almasına yardımcı olur. Hem yeni başlayanlar hem de deneyimli trader'lar için uygundur.
Sorumluluk Reddi:
Bu gösterge yalnızca eğitim amaçlıdır ve yatırım tavsiyesi değildir. Lütfen yatırımlarınızda kendi analizlerinizi ve risk yönetimi stratejilerinizi kullanmayı unutmayın.
Accurate Buy/Sell Signals PingitIndikator yang Digunakan:
EMA: Untuk menentukan tren.
RSI: Untuk mendeteksi kondisi overbought/oversold.
MACD: Untuk mengonfirmasi momentum.
Sinyal Buy:
EMA jangka pendek (10) memotong ke atas EMA jangka panjang (50).
RSI berada di bawah level oversold (30).
MACD Line berada di atas Signal Line.
Sinyal Sell:
EMA jangka pendek memotong ke bawah EMA jangka panjang.
RSI berada di atas level overbought (70).
MACD Line berada di bawah Signal Line.
CPR - EMA 21/64/100/200/300 VWAP 3 ST NagaCPR 5 EMA 3 ST VWP -- NAGA
TIS is having cpr with 3 s1 s2 s3 and r1 r2 r3 and vwap and 3 super trends and 5 emas ema 21 ema 64 ema 100 ema 200 ema300
JJ Highlight Time Ranges with First 5 Minutes and LabelsTo effectively use this Pine Script as a day trader , here’s how the various elements can help you manage trades, track time sessions, and monitor price movements:
Key Components for a Day Trader:
1. First 5-Minute Highlight:
- Purpose: Day traders often rely on the first 5 minutes of the trading session to gauge market sentiment, watch for opening price gaps, or plan entries. This script draws a horizontal line at the high or low of the first 5 minutes, which can act as a key level for the rest of the day.
- How to Use: If the price breaks above or below the first 5-minute line, it can signal momentum. You might enter a long position if the price breaks above the first 5-minute high or a short if it breaks below the first 5-minute low.
2. Session Time Highlights:
- Morning Session (9:15–10:30 AM): The market often shows its strongest price action during the first hour of trading. This session is highlighted in yellow. You can use this highlight to focus on the most volatile period, as this is when large institutional moves tend to occur.
- Afternoon Session (12:30–2:55 PM): The blue highlight helps you track the mid-afternoon session, where liquidity may decrease, and price action can sometimes be choppier. Day traders should be more cautious during this period.
- How to Use: By highlighting these key times, you can:
- Focus on key breakouts during the morning session.
- Be more conservative in your trades during the afternoon, as market volatility may drop.
3. Dynamic Labels:
- Top/Bottom Positioning: The script places labels dynamically based on the selected position (Top or Bottom). This allows you to quickly glance at the session's start and identify where you are in terms of time.
- How to Use: Use these labels to remind yourself when major time segments (morning or afternoon) begin. You can adjust your trading strategy depending on the session, e.g., being more aggressive in the morning and more cautious in the afternoon.
Trading Strategy Suggestions:
1. Momentum Trades:
- After the first 5 minutes, use the high/low of that period to set up breakout trades.
- Long Entry: If the price breaks the high of the first 5 minutes (especially if there's a strong trend).
- Short Entry: If the price breaks the low of the first 5 minutes, signaling a potential downtrend.
2. Session-Based Strategy:
- Morning Session (9:15–10:30 AM):
- Look for strong breakout patterns such as support/resistance levels, moving average crossovers, or candlestick patterns (like engulfing candles or pin bars).
- This is a high liquidity period, making it ideal for executing quick trades.
- Afternoon Session (12:30–2:55 PM):
- The market tends to consolidate or show less volatility. Scalping and mean-reversion strategies work better here.
- Avoid chasing big moves unless you see a clear breakout in either direction.
3. Support and Resistance:
- The first 5-minute high/low often acts as a key support or resistance level for the rest of the day. If the price holds above or below this level, it’s an indication of trend continuation.
4. Breakout Confirmation:
- Look for breakouts from the highlighted session time ranges (e.g., 9:15 AM–10:30 AM or 12:30 PM–2:55 PM).
- If a breakout happens during a key time window, combine that with other technical indicators like volume spikes , RSI , or MACD for confirmation.
---
Example Day Trader Usage:
1. First 5 Minutes Strategy: After the market opens at 9:15 AM, watch the price action for the first 5 minutes. The high and low of these 5 minutes are critical levels. If the price breaks above the high of the first 5 minutes, it might indicate a strong bullish trend for the day. Conversely, breaking below the low may suggest bearish movement.
2. Morning Session: After the first 5 minutes, focus on the **9:15 AM–10:30 AM** window. During this time, look for breakout setups at key support/resistance levels, especially when paired with high volume or momentum indicators. This is when many institutions make large trades, so price action tends to be more volatile and predictable.
3. Afternoon Session: From 12:30 PM–2:55 PM, the market might experience lower volatility, making it ideal for scalping or range-bound strategies. You could look for reversals or fading strategies if the market becomes too quiet.
Conclusion:
As a day trader, you can use this script to:
- Track and react to key price levels during the first 5 minutes.
- Focus on high volatility in the morning session (9:15–10:30 AM) and **be cautious** during the afternoon.
- Use session-based timing to adjust your strategies based on the time of day.
Multi straddleA straddle with Bollinger Bands combines an options trading strategy and a technical indicator for better analysis.
The Bollinger Bands overlay the combined premium (call + put prices), providing insights into volatility.
This setup allows traders to monitor breakouts or contractions in the total premium, aiding in decision-making for entry, exit, or risk management.
Pi Cycle Bitcoin High/LowThe theory that a Pi Cycle Top might exist in the Bitcoin price action isn't new, but recently I found someone who had done the math on developing a Pi Cycle Low indicator, also using the crosses of moving averages.
The Pi Cycle Top uses the 2x350 Daily MA and the 111 Daily MA
The Pi Cycle Bottom uses the 0.745x471 Daily MA and the 150 Daily EMA
Note: a Signal of "top" doesn't necessarily mean "THE top" of a Bull Run - in 2013 there were two Top Signals, but in 2017 there was just one. There was one in 2021, however BTC rose again 6 months later to actually top at 69K, before the next Bear Market.
There is as much of a chance of two "bottom" indications occurring in a single bear market, as nearly happened in the Liquidity Crisis in March 2020.
On April 19 2024 (UTC) the Fourth Bitcoin Halving took place, as the 840,000th block was completed. It is currently estimated that the 5th halving will take place on March 26, 2028.
Moving Average Exponential050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505050505
EMA20-50-200 //EMA1
study(title="Moving Average Exponential", shorttitle="EMA", overlay=true, resolution="")
len = input(50, minval=1, title="Length")
src = input(close, title="Source")
offset = input(title="Offset", type=input.integer, defval=0, minval=-500, maxval=500)
out = ema(src, len)
plot(out, title="EMA", color=color.teal, offset=offset)
//EMA2
len2 = input(100, minval=1, title="Length2")
src2 = input(close, title="Source2")
offset2 = input(title="Offset2", type=input.integer, defval=0, minval=-500, maxval=500)
out2 = ema(src2, len2)
plot(out2, title="EMA2", color=color.orange, offset=offset2)
//EMA3
len3 = input(150, minval=1, title="Length3")
src3 = input(close, title="Source3")
offset3 = input(title="Offset3", type=input.integer, defval=0, minval=-500, maxval=500)
out3 = ema(src3, len3)
plot(out3, title="EMA3", color=color.blue, offset=offset3)
Mein SkriptBefore publishing, clearly define:
Purpose: What do you aim to achieve? (e.g., inform, entertain, educate).
Target Audience: Who are you creating for? Understand their needs, preferences, and habits.
Format: Choose the medium—book, blog post, podcast, video, or article.
Pro Tip: Outline your content to ensure clarity and consistency.
7 PM Horizontal LinesThis Pine Script draws horizontal lines at 7 PM on the chart for dates ranging from January 10, 2022, to January 10, 2025. It uses the timestamp function to define the date range and checks if the current time matches 7 PM within the specified range. If the condition is met, it plots red horizontal lines with configurable styling.
straddle with Bollinger BandA straddle with Bollinger Bands combines an options trading strategy and a technical indicator for better analysis.
The Bollinger Bands overlay the combined premium (call + put prices), providing insights into volatility.
This setup allows traders to monitor breakouts or contractions in the total premium, aiding in decision-making for entry, exit, or risk management.
Large Wick IndicatorThis is a wick indicator which shows you 3X wick more than a body so it gives you idea to trade in the right direction
ZLSMA with Chandelier Exit and EMAThe "ZLSMA with Chandelier Exit" indicator integrates two advanced trading tools: the Zero Lag Smoothed Moving Average (ZLSMA) and the Chandelier Exit as well as a 200 EMA. The ZLSMA is designed to provide a smoothed trend line that reacts quickly to price changes, making it effective for identifying trends. The Chandelier Exit employs the Average True Range (ATR) to establish trailing stop levels, assisting traders in managing risk. 200 EMA is designed indicate a trend line.
Daily High-Low Levels (Same Day)Same Day Display: The high and low reset at the start of a new day (dayofweek != dayofweek or at midnight hour == 0 and minute == 0).
No Line Extension: The lines are set to extend=extend.none so they are confined to the current day.
Dynamic Updates: The lines update dynamically with intraday price action.
Custom Time Candle LabelsHow It Works:
input.int fields allow you to set the hour and minute for both custom times from the indicator settings.
The script checks whether the current candle matches either of the input times.
Labels are plotted at the high of the candle for both custom times.
The label text dynamically displays the custom time you set.
Customization Options:
You can change the colors, label style, or label position as needed.
Would you like me to add any alerts or further features (e.g., showing labels at the low of the candle?
MOVING MODEMoving Mode indicator calculates and displays on the chart the mode (the most frequent value) of the closing prices of the last N bars (configurable). Unlike traditional moving averages, which can be distorted by extreme values, Moving Mode provides a more accurate representation of price behavior by reflecting the most common values.
This approach is based on the concept of "Moda Móvil" proposed by Pedro L. Asensio, who highlights that traditional moving averages can be misleading due to their sensitivity to extremes. The mode, on the other hand, offers a more realistic and market-adjusted alternative, unaffected by outliers.
I, Pedro L. Asensio, created the Moving Mode and Moda Móvil indicators in 2023
These indicators are free to use ;)
Comprehensive Dashboard with DecisionThis indicator provides a comprehensive dashboard with signals from multiple indicators including RSI, MACD, Bollinger Bands, and TDI. Ideal for traders looking for quick decision-making tools.
AI indicatorThis script is a trading indicator designed for future trading signals on the TradingView platform. It uses a combination of the Relative Strength Index (RSI) and a Simple Moving Average (SMA) to generate buy and sell signals. Here's a breakdown of its components and logic:
1. Inputs
The script includes configurable inputs to make it adaptable for different market conditions:
RSI Length: Determines the number of periods for calculating RSI. Default is 14.
RSI Overbought Level: Signals when RSI is above this level (default 70), indicating potential overbought conditions.
RSI Oversold Level: Signals when RSI is below this level (default 30), indicating potential oversold conditions.
Moving Average Length: Defines the SMA length used to confirm price trends (default 50).
2. Indicators Used
RSI (Relative Strength Index):
Measures the speed and change of price movements.
A value above 70 typically indicates overbought conditions.
A value below 30 typically indicates oversold conditions.
SMA (Simple Moving Average):
Used to smooth price data and identify trends.
Price above the SMA suggests an uptrend, while price below suggests a downtrend.
3. Buy and Sell Signal Logic
Buy Condition:
The RSI value is below the oversold level (e.g., 30), indicating the market might be undervalued.
The current price is above the SMA, confirming an uptrend.
Sell Condition:
The RSI value is above the overbought level (e.g., 70), indicating the market might be overvalued.
The current price is below the SMA, confirming a downtrend.
These conditions ensure that trades align with market trends, reducing false signals.
4. Visual Features
Buy Signals: Displayed as green labels (plotshape) below the price bars when the buy condition is met.
Sell Signals: Displayed as red labels (plotshape) above the price bars when the sell condition is met.
Moving Average Line: A blue line (plot) added to the chart to visualize the SMA trend.
5. How It Works
When the buy condition is true (RSI < 30 and price > SMA), a green label appears below the corresponding price bar.
When the sell condition is true (RSI > 70 and price < SMA), a red label appears above the corresponding price bar.
The blue SMA line helps to visualize the overall trend and acts as confirmation for signals.
6. Advantages
Combines Momentum and Trend Analysis:
RSI identifies overbought/oversold conditions.
SMA confirms whether the market is trending up or down.
Simple Yet Effective:
Reduces noise by using well-established indicators.
Easy to interpret for beginners and experienced traders alike.
Customizable:
Parameters like RSI length, oversold/overbought levels, and SMA length can be adjusted to fit different assets or timeframes.
7. Limitations
Lagging Indicator: SMA is a lagging indicator, so it may not capture rapid market reversals quickly.
Not Foolproof: No trading indicator can guarantee 100% accuracy. False signals can occur in choppy or sideways markets.
Needs Volume Confirmation: The script does not consider trading volume, which could enhance signal reliability.
8. How to Use It
Copy the script into TradingView's Pine Editor.
Save and add it to your chart.
Adjust the RSI and SMA parameters to suit your preferred asset and timeframe.
Look for buy signals (green labels) in uptrends and sell signals (red labels) in downtrends.
