Named SessionsShows London, New York and Tokyo sessions (and optionally Sydney).
Beginner-friendly - shows names of sessions, not just colors
Marks low and high of session
Shows if session is currently open
Session names can be customized
Session label is placed above or below depending on price move during session, visually indicating the trend (also works during open session)
Is displayed only on timeframes below 4H
How it works
Session trend is calculated simply by subtracting the session's opening price from the session's closing price (or current price if session is open).
If there is a gap before the session, the previous close is used instead of the first candle's open price.
Indicateurs et stratégies
Breakouts With Timefilter Strategy [LuciTech]This strategy captures breakout opportunities using pivot high/low breakouts while managing risk through dynamic stop-loss placement and position sizing. It includes a time filter to limit trades to specific sessions.
How It Works
A long trade is triggered when price closes above a pivot high, and a short trade when price closes below a pivot low.
Stop-loss can be set using ATR, prior candle high/low, or a fixed point value. Take-profit is based on a risk-reward multiplier.
Position size adjusts based on the percentage of equity risked.
Breakout signals are marked with triangles, and entry, stop-loss, and take-profit levels are plotted.
moving average filter: Bullish breakouts only trigger above the MA, bearish breakouts below.
The time filter shades the background during active trading hours.
Customization:
Adjustable pivot length for breakout sensitivity.
Risk settings: percentage risked, risk-reward ratio, and stop-loss type.
ATR settings: length, smoothing method (RMA, SMA, EMA, WMA).
Moving average filter (SMA, EMA, WMA, VWMA, HMA) to confirm breakouts.
Cloud of powerPresentation of the "Cloud of Power" Indicator and Strategy for Trading the S&P 500
1. Introduction to the "Cloud of Power" Indicator
The Cloud of Power indicator is designed to help identify areas of support and resistance based on price volume and volatility. It creates a visual cloud that serves as a guide to track market movements and pinpoint areas where price reactions are likely. This tool is particularly effective when combined with an Exponential Moving Average (EMA), adjusted based on the timeframe being analyzed. For example, on a 4-hour chart, a 180 EMA is recommended, but it should be adjusted for other timeframes.
Cloud of Power:
This cloud highlights support and resistance areas based on market dynamics. It helps to predict potential reversals or trend continuations.
Adjusted EMA: The exponential moving average helps confirm the main trend. If the price moves above the EMA, we consider it an uptrend, and if below, a downtrend.
2. Trading Strategy Using the "Cloud of Power" and EMA
This strategy relies on the breakout of the Cloud of Power levels to identify entry and exit opportunities. It helps to anticipate potential support and resistance zones, and adjust stop-loss and gain securing levels accordingly.
Strategy Steps:
Defining the Trend:
If the price moves above the EMA, the trend is bullish. If the price is below the EMA, the trend is bearish.
The Cloud of Power is a visual guide to evaluate support (the cloud's lower boundary) and resistance (the cloud's upper boundary) zones in both scenarios.
Entry Points:
Buy signal: Enter a long (buy) position when the price breaks above the cloud's upper boundary in a bullish trend.
Sell signal: Enter a short (sell) position when the price breaks below the cloud's lower boundary in a bearish trend.
Stop-Loss Placement:
For a buy trade, place the stop-loss just below the cloud's lower boundary, which represents a support level. A break below this level may indicate a weakening bullish trend.
For a sell trade, place the stop-loss just above the cloud's upper boundary, representing resistance. A break above this level may signal the end of the bearish trend.
Take Profit and Position Management:
Profit-taking in this strategy is dynamic. The position is held as long as the price stays in line with the trend defined by the EMA and the cloud.
If the price breaks below the cloud's lower boundary in a bullish trend, we can predict that the most recent high will act as a resistance. It's advisable to monitor this zone for further breakout opportunities to add positions or use these levels to secure future gains.
By gradually adjusting the stop-loss closer to resistance or support zones identified by the cloud, you can protect your profits and secure your position. This approach allows maximizing gains by staying in the trend while limiting the risk of a sudden reversal.
Example of Application (S&P 500 Chart):
In an uptrend, if the price breaks above the cloud's upper boundary with volume confirmation, it signals a buy. The stop-loss should be placed just below the cloud's lower boundary to secure the position.
As long as the price remains above the EMA and the cloud remains bullish, the position is held. If the price breaks below the cloud's lower boundary, the most recent high will likely act as resistance. This zone should be closely monitored for future movements to adjust the stop-loss or take partial profits.
In a downtrend, the opposite logic applies. The price must break below the cloud's lower boundary for a sell, with the stop-loss placed above the upper boundary.
In summary, the Cloud of Power is an excellent visual tool to evaluate support and resistance areas and refine your entry and exit points. By following the trend with the EMA and adjusting your stop-loss according to the levels defined by the cloud, you can maximize profits while minimizing risks.
Enhanced Bollinger Bands Strategy for SilverThis strategy uses Bollinger bands, RSI, volumes and trend analysis to provide smooth trades and ride longer trends
Machine Learning: Lorentzian Classification/ ====================
// ==== Background ====
// ====================
// When using Machine Learning algorithms like K-Nearest Neighbors, choosing an
// appropriate distance metric is essential. Euclidean Distance is often used as
// the default distance metric, but it may not always be the best choice. This is
// because market data is often significantly impacted by proximity to significant
// world events such as FOMC Meetings and Black Swan events. These major economic
// events can contribute to a warping effect analogous a massive object's
// gravitational warping of Space-Time. In financial markets, this warping effect
// operates on a continuum, which can analogously be referred to as "Price-Time".
// To help to better account for this warping effect, Lorentzian Distance can be
// used as an alternative distance metric to Euclidean Distance. The geometry of
// Lorentzian Space can be difficult to visualize at first, and one of the best
// ways to intuitively understand it is through an example involving 2 feature
// dimensions (z=2). For purposes of this example, let's assume these two features
// are Relative Strength Index (RSI) and the Average Directional Index (ADX). In
// reality, the optimal number of features is in the range of 3-8, but for the sake
// of simplicity, we will use only 2 features in this example.
// Fundamental Assumptions:
// (1) We can calculate RSI and ADX for a given chart.
// (2) For simplicity, values for RSI and ADX are assumed to adhere to a Gaussian
// distribution in the range of 0 to 100.
// (3) The most recent RSI and ADX value can be considered the origin of a coordinate
// system with ADX on the x-axis and RSI on the y-axis.
// Distances in Euclidean Space:
// Measuring the Euclidean Distances of historical values with the most recent point
// at the origin will yield a distribution that resembles Figure 1 (below).
//
// |
// |
// |
// ...:::....
// .:.:::••••••:::•::..
// .:•:.:•••::::••::••....::.
// ....:••••:••••••••::••:...:•.
// ...:.::::::•••:::•••:•••::.:•..
// ::•:.:•:•••••••:.:•::::::...:..
// |--------.:•••..•••••••:••:...:::•:•:..:..----------
// 0 :•:....:•••••::.:::•••::••:.....
// ::....:.:••••••••:•••::••::..:.
// .:...:••:::••••••••::•••....:
// ::....:.....:•::•••:::::..
// ..:..::••..::::..:•:..
// .::..:::.....:
// |
// |
// |
// |
// _|_ 0
//
// Figure 1: Neighborhood in Euclidean Space
// Distances in The Space:
// However, the same set of historical values measured using The Distance will
// yield a different distribution that resembles Figure 2 (below).
//
//
// ::.. | ..:::
// ..... | ......
// .••••::. | :••••••.
// .:•••••:. | :::••••••.
// .•••••:... | .::.••••••.
// .::•••••::.. | :..••••••..
// .:•••••••::.........::••••••:..
// ..::::••••.•••••••.•••••••:.
// ...:•••••••.•••••••••::.
// .:..••.••••••.••••..
// |---------------.:•••••••••••••••••.---------------
// 0 .:•:•••.••••••.•••••••.
// .••••••••••••••••••••••••:.
// .:••••••••••::..::.::••••••••:.
// .::••••••::. | .::•••:::.
// .:••••••.. | :••••••••.
// .:••••:... | ..•••••••:.
// ..:••::.. | :.•••••••.
// .:•.... | ...::.:••.
// ...:.. | :...:••.
// :::. | ..::
// _|_ 0
//
// Figure 2: Neighborhood in the Space
// Observations:
// (1) In the Space, the shortest distance between two points is not
// necessarily a straight line, but rather, a geodesic curve.
// (2) The warping effect of Lorentzian distance reduces the overall influence
// of outliers and noise.
// (3) The Distance becomes increasingly different from Euclidean Distance
// as the number of nearest neighbors used for comparison increases.
ATR 3x Multiplier StrategyBeta version
Volatility and Candle Spikes in Trading
Volatility
Volatility refers to the degree of variation in the price of a financial asset over time. It measures how much the price fluctuates and is often associated with risk and uncertainty in the market. High volatility means larger price swings, while low volatility indicates more stable price movements.
Key aspects of volatility:
Measured using indicators like Average True Range (ATR), Bollinger Bands, and Implied Volatility (IV).
Influenced by factors such as market news, economic events, and liquidity.
Higher volatility increases both risk and potential profit opportunities.
Candle Spikes
A candle spike (or wick) refers to a sudden price movement that forms a long shadow or wick on a candlestick chart. These spikes can indicate strong buying or selling pressure, liquidity hunts, or stop-loss triggers.
Types of candle spikes:
Bullish Spike (Long Lower Wick): Indicates buyers rejected lower prices, pushing the price higher.
Bearish Spike (Long Upper Wick): Suggests sellers rejected higher prices, pushing the price lower.
Stop-Loss Hunt: Market makers may trigger stop-losses by creating artificial spikes before reversing the price.
News-Induced Spikes: Economic data releases or unexpected events can cause sudden price jumps.
Understanding volatility and candle spikes can help traders manage risk, spot entry/exit points, and avoid false breakouts. 🚀📈
AntoQQE - BarsThis script is a variation on the QQE (Quantitative Qualitative Estimation) concept applied to RSI. It calculates a smoothed RSI line, then determines a “Dynamic Average Range” around that line. By tracking the RSI’s movement relative to these upper (shortBand) and lower (longBand) levels, it determines when price momentum shifts enough to suggest a possible trend flip. The script plots color-coded candles based on these momentum conditions:
• RSI Calculation and Smoothing
An RSI value is obtained over a specified period, then smoothed by an EMA. This smoothed RSI serves as the core measure of momentum.
• Dynamic Average Range (DAR)
The script computes the volatility of the smoothed RSI using two EMAs of its bar-to-bar movements. It multiplies this volatility factor by a QQE multiplier to create upper and lower bands that adapt to changes in RSI volatility.
• Trend Flips
When the smoothed RSI crosses above or below its previous band level (shortBand or longBand), the script interprets this as a shift in momentum and sets a trend state accordingly (long or short).
• Candle Coloring
Finally, the script colors each candle according to how far the smoothed RSI is from a neutral baseline of 50:
Candles turn green when the RSI is sufficiently above 50, suggesting bullish momentum.
Candles turn red when the RSI is sufficiently below 50, indicating bearish momentum.
Candles turn orange when they are near the 50 level, reflecting a more neutral or transitional phase.
Traders can use these colored candles to quickly see when the RSI’s momentum has moved into overbought/oversold zones—or is shifting between bullish and bearish conditions—without needing to consult a separate oscillator window. The adaptive nature of the band calculations can help in spotting significant shifts in market sentiment and volatility.
Investor Sharma Intradayits all about how intraday trading will done but not only depends on indicator its include many other skills like psycology etc
Improved Trading Scriptits indicates the next candel. A highly accurate trend-following indicator for the 1-minute timeframe, designed for real-time execution in the Quotex OTC market.
Buy Signal: Appears below the candle → Next candle is bullish (green).
Sell Signal: Appears above the candle → Next candle is bearish (red).
This non-repainting indicator ensures precise signals for profitable trading.
NIFTY 50 Reversal Strategy🎯 Entry Rules:
🔴 Bearish Reversal Setup (Short Trade)
🔹 Conditions to Enter a SHORT Trade:
Price hits a strong resistance (Pivot Point, Supply Zone, or Fibonacci 61.8%)
Bearish candlestick confirmation:
Bearish Engulfing
Shooting Star (Long wick on top)
Doji (Indecision) after an uptrend
EMA Crossover: EMA 10 crosses below EMA 50
RSI above 70 (overbought) or shows Bearish Divergence
VWAP Rejection (Price touches VWAP & drops)
Volume Drops or Spikes Bearishly (Volume confirmation)
✅ ENTRY: Enter a SHORT position on the next candle close after confirmation.
🎯 TARGETS:
Target 1: Next Pivot Support or 0.5% drop
Target 2: Fibonacci 50% retracement
Target 3: VWAP Mean Reversion
🛑 STOP-LOSS:
Above the recent swing high / wick (+0.2% buffer)
ATR-based SL for volatility
🟢 Bullish Reversal Setup (Long Trade)
🔹 Conditions to Enter a LONG Trade:
Price hits a strong support (Pivot Point, Demand Zone, or Fibonacci 61.8%)
Bullish candlestick confirmation:
Bullish Engulfing
Hammer / Pin Bar (Long wick at bottom)
Doji (Indecision) at Support
EMA Crossover: EMA 10 crosses above EMA 50
RSI below 30 (oversold) or shows Bullish Divergence
VWAP Support (Price touches VWAP & bounces)
Volume Surge in Bullish Candles
✅ ENTRY: Enter a LONG position on the next candle close after confirmation.
🎯 TARGETS:
Target 1: Next Pivot Resistance or 0.5% rise
Target 2: Fibonacci 50% retracement
Target 3: VWAP Mean Reversion
🛑 STOP-LOSS:
Below the recent swing low / wick (-0.2% buffer)
ATR-based SL for volatility
PSP - Swing Point - Daye Quarterly Theory - 3 Assets (2 vs 1)Follow me on Twitter @Crypto_MM_
This indicator detects divergences in candles across three closely related assets in a 2vs1 scenario. For example, when NQ and ES close bullish and YM closes bearish these candles are coloured teal. The colour can be changed in the settings.
In addition there is swing point detection. However, instead of displaying all of the swing points that occur, this indicator will only label those which occur on candles which show a divergence between three closely related assets.
These have been named Precision Swing Points, or PSPs, by Trader Daye and are a key part of his teaching on Quarterly Theory.
This works across all timeframes.
I have also created the same indicator in a 1vs1 scenario (for example, NQ vs ES), you can find that here:
I am also planning to release one other version:
- One which detects PSPs between 3 assets
Other indicators which are show on the chart below and are highly recommended for Quarterly Theory:
Quarterly Theory Smart Money Assistant - - by x.com
Triad QT Beta - - by @darkmiki2
Daye Quarterly Theory by toodegrees - - by toodegrees
ICT NWOG/NDOG - - by Fadi
Notes:
- I recommend adding this script on just one asset - I use it on YM or RTY
- Candles which close the same as what they open at are considered bullish
Buy Side Strategy with MA and RSIBuy Entry Condition:
Price crosses above the 20 EMA.
RSI is greater than 50 (indicating a bullish trend).
If both conditions are met, a Buy signal (▲) is triggered.
Exit Condition:
Price crosses below the 20 EMA.
If the exit condition is met, an Exit Buy signal (✖) is triggered.
Moving Averages:
20 EMA is plotted in blue.
50 EMA is plotted in orange.
RSI:
RSI is plotted in the main window.
A dotted line is drawn at RSI = 50 to help visualize trend strength.
Supertrend with Trend Change Arrows//@version=6
indicator("Supertrend with Trend Change Arrows", overlay = true, timeframe = "", timeframe_gaps = true)
// Inputs
atrPeriod = input.int(10, "ATR Length", minval = 1)
factor = input.float(3.0, "Factor", minval = 0.01, step = 0.01)
// Calculate Supertrend
= ta.supertrend(factor, atrPeriod)
// Plot Supertrend
upTrend = plot(direction < 0 ? supertrend : na, "Up Trend", color = color.green, style = plot.style_linebr)
downTrend = plot(direction < 0 ? na : supertrend, "Down Trend", color = color.red, style = plot.style_linebr)
// Fill Backgrounds
bodyMiddle = plot((open + close) / 2, "Body Middle", display = display.none)
fill(bodyMiddle, upTrend, title = "Uptrend background", color = color.new(color.green, 90), fillgaps = false)
fill(bodyMiddle, downTrend, title = "Downtrend background", color = color.new(color.red, 90), fillgaps = false)
// Detect Trend Changes
bullishFlip = direction < 0 and direction >= 0 // Trend flipped from bearish to bullish
bearishFlip = direction >= 0 and direction < 0 // Trend flipped from bullish to bearish
// Plot Arrows for Trend Changes
plotshape(bullishFlip, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, text="▲", offset=0)
plotshape(bearishFlip, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, text="▼", offset=0)
// Alert Conditions
alertcondition(bullishFlip, title='Downtrend to Uptrend', message='The Supertrend value switched from Downtrend to Uptrend')
alertcondition(bearishFlip, title='Uptrend to Downtrend', message='The Supertrend value switched from Uptrend to Downtrend')
alertcondition(bullishFlip or bearishFlip, title='Trend Change', message='The Supertrend value switched from Uptrend to Downtrend or vice versa')
Colored Super MAI went looking for a script like this one, but I couldn't find one...so I created it.
It's a simple script which allows the user to select different moving average options, then color the moving average depending on if it's rising (green) or falling (red) over a set "lookback". Optionally, the user can easily specify things like line-width. Also, if there is a new close above or below a moving average, the script draws green or red lights above or below the candles (like a traffic light). In addition, I've added an alert condition which allows the user to set an alert if there is a new close above or below a moving average. This way, you can just wait for the alert instead of looking at charts all day long.
Enjoy!
Livelli Sensibili Orizzontali//@version=5
indicator("Livelli Sensibili Orizzontali", overlay=true)
// Funzione per trovare massimi/minimi SOLAMENTE sui punti più alti e più bassi raggiunti con almeno 3 candele decrescenti o crescenti dopo o prima
isSwingHigh(src) =>
ta.highestbars(src, 4) == 0 and high < high and high < high and high < high and ta.valuewhen(high == ta.highest(high, 10), high, 0) == high
isSwingLow(src) =>
ta.lowestbars(src, 4) == 0 and low > low and low > low and low > low and ta.valuewhen(low == ta.lowest(low, 10), low, 0) == low
// Identificazione dei livelli sensibili
var float lastHigh = na
var float lastLow = na
if isSwingHigh(high)
lastHigh := high
if isSwingLow(low)
lastLow := low
// Disegna linee orizzontali SOLO sui massimi e minimi effettivi
line.new(x1=bar_index , y1=lastHigh, x2=bar_index, y2=lastHigh, width=2, color=color.red)
line.new(x1=bar_index , y1=lastLow, x2=bar_index, y2=lastLow, width=2, color=color.green)
EMA + Bollinger + ATR StrategyHow to Enter Trades
Entry Method:
Market Orders: Enter immediately when the signal arrow appears (best for breakouts).
Limit Orders: Place orders slightly inside the Bollinger Band (e.g., 2–3 pips below breakout level) if you expect a pullback.
Always Confirm:
Check that the 3 EMAs align with the trend direction.
Ensure the ATR stop loss (red line) is in a logical place (not too tight).
Visual Guide:
Blue EMA (5): Fast trend filter
Orange EMA (20): Slow trend filter
Gray EMA (200): Long-term trend bias
Purple Bands: Volatility boundaries
Signal Arrows: Exact entry points
Entry Rules:
Only trade when ALL conditions align:
EMA 5 > 20 AND price > 200 EMA (for buys)
EMA 5 < 20 AND price < 200 EMA (for sells)
Price breaks Bollinger Band after squeeze (bands close together)
Exit Rules:
Close position when price hits green TP line
Close immediately if price hits red SL line
TMA MACDTriangular MACD combined with two moving averages
its suiteable for using multi time frame intraday analysis like major H4
and minor H1 and and for entry model we should take M15 and M5 with use other indicators like
support and resistance or suply demand zones all the best
Dotel Quarter LevelsEste indicador de Pine Script, está diseñado para ayudar a los traders a identificar rápidamente niveles de precios clave en el gráfico. Su función principal es dibujar líneas horizontales en múltiplos de un valor especificado por el usuario, facilitando la visualización de posibles zonas de soporte y resistencia.
Funciones Principales:
Detección de Niveles Múltiplos: El indicador calcula y muestra líneas horizontales en el gráfico que representan múltiplos de un valor numérico definido por el usuario. Por ejemplo, si el usuario introduce 50, el indicador trazará líneas en niveles como 100, 150, 200, etc.
Personalización del Valor Múltiplo: Los usuarios tienen la flexibilidad de introducir cualquier valor numérico como base para los múltiplos, permitiendo adaptar el indicador a diferentes estilos de trading y activos financieros.
Control del Número de Líneas: Además de poder elegir el valor de los múltiplos, el usuario podrá también elegir cuantas lineas quiere que se dibujen por encima y por debajo del precio actual, esto lo hace mas flexible a las necesidades de cada usuario.
Visualización Clara: Las líneas se extienden a lo largo del gráfico, proporcionando una visualización clara y precisa de los niveles de precios relevantes.
Créditos:
Este indicador fue desarrollado por Alex Dotel, un joven programador dominicano apasionado por la creación de herramientas útiles para la comunidad de traders.
Strategy SuperTrend SDI WebhookThis Pine Script™ strategy is designed for automated trading in TradingView. It combines the SuperTrend indicator and Smoothed Directional Indicator (SDI) to generate buy and sell signals, with additional risk management features like stop loss, take profit, and trailing stop. The script also includes settings for leverage trading, equity-based position sizing, and webhook integration.
Key Features
1. Date-based Trade Execution
The strategy is active only between the start and end dates set by the user.
times ensures that trades occur only within this predefined time range.
2. Position Sizing and Leverage
Uses leverage trading to adjust position size dynamically based on initial equity.
The user can set leverage (leverage) and percentage of equity (usdprcnt).
The position size is calculated dynamically (initial_capital) based on account performance.
3. Take Profit, Stop Loss, and Trailing Stop
Take Profit (tp): Defines the target profit percentage.
Stop Loss (sl): Defines the maximum allowable loss per trade.
Trailing Stop (tr): Adjusts dynamically based on trade performance to lock in profits.
4. SuperTrend Indicator
SuperTrend (ta.supertrend) is used to determine the market trend.
If the price is above the SuperTrend line, it indicates an uptrend (bullish).
If the price is below the SuperTrend line, it signals a downtrend (bearish).
Plots visual indicators (green/red lines and circles) to show trend changes.
5. Smoothed Directional Indicator (SDI)
SDI helps to identify trend strength and momentum.
It calculates +DI (bullish strength) and -DI (bearish strength).
If +DI is higher than -DI, the market is considered bullish.
If -DI is higher than +DI, the market is considered bearish.
The background color changes based on the SDI signal.
6. Buy & Sell Conditions
Long Entry (Buy) Conditions:
SDI confirms an uptrend (+DI > -DI).
SuperTrend confirms an uptrend (price crosses above the SuperTrend line).
Short Entry (Sell) Conditions:
SDI confirms a downtrend (+DI < -DI).
SuperTrend confirms a downtrend (price crosses below the SuperTrend line).
Optionally, trades can be filtered using crossovers (occrs option).
7. Trade Execution and Exits
Market entries:
Long (strategy.entry("Long")) when conditions match.
Short (strategy.entry("Short")) when bearish conditions are met.
Trade exits:
Uses predefined take profit, stop loss, and trailing stop levels.
Positions are closed if the strategy is out of the valid time range.
Usage
Automated Trading Strategy:
Can be integrated with webhooks for automated execution on supported trading platforms.
Trend-Following Strategy:
Uses SuperTrend & SDI to identify trend direction and strength.
Risk-Managed Leverage Trading:
Supports position sizing, stop losses, and trailing stops.
Backtesting & Optimization:
Can be used for historical performance analysis before deploying live.
Conclusion
This strategy is suitable for traders who want to automate their trading using SuperTrend and SDI indicators. It incorporates risk management tools like stop loss, take profit, and trailing stop, making it adaptable for leverage trading. Traders can customize settings, conduct backtests, and integrate it with webhooks for real-time trade execution. 🚀
Important Note:
This script is provided for educational and template purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
Ivan Gomes StrategyIG Signals+ - Ivan Gomes Strategy
This script is designed for scalping and binary options trading, generating buy and sell signals at the beginning of each candle. Although it is mainly optimized for short-term operations, it can also be used for medium and long-term strategies with appropriate adjustments.
How It Works
• The indicator provides buy or sell signals at the start of the candle, based on a statistical probability of candle patterns, depending on the timeframe.
• It is essential to enter the trade immediately after the signal appears and exit at the end of the same candle.
• If the first operation results in a loss (Loss), the script will send another trade signal at the start of the next candle. However, if the first trade results in a win (Gain), no new signal will be generated.
• The signals follow cycles of 3 candles, regardless of the timeframe. However, if a Doji candle appears, the cycle is interrupted, and no signals will be generated until the next valid cycle starts.
• The strategy consists of up to two trades per cycle: if the first trade is not successful, the second trade serves as an additional attempt to recover.
Key Points to Consider
1. Avoid trading in sideways markets – If price levels do not fluctuate significantly, the accuracy of the signals may decrease.
2. Trade in the direction of the trend – Using Ichimoku clouds or other trend indicators can help confirm trend direction and improve signal reliability. If the market is in an uptrend (bullish trend) and the indicator generates a sell signal, the most prudent decision would be to wait for a buy signal that aligns with the main trend. The same applies to downtrends, where buy signals may be riskier.
These decisions should be based on chart reading and supported by other technical analysis tools, such as support and resistance levels, which indicate zones where price might face obstacles or reverse direction. Additionally, Fibonacci retracement levels can help identify possible pullback points within a trend. Moving averages are also useful for visualizing the general market direction and confirming whether an indicator signal aligns with the overall price structure. Combining these tools can increase trade accuracy and prevent unnecessary trades against the main trend, reducing risks.
3. Works based on probability statistics – The algorithm analyzes candle formations and their statistical probabilities depending on the timeframe to optimize trade entries.
4. Best suited for scalping and binary options – This strategy performs best in 1-minute and 5-minute timeframes, allowing for multiple trades throughout the day.
Technical Details
• The script detects the candle cycle and assigns an index to each candle to identify patterns and possible reversals.
• It recognizes reference candles, stores their colors, and compares them with subsequent candles to determine if a signal should be triggered.
• Doji candle rules are implemented to avoid false signals in indecisive market conditions. When a Doji appears, the script does not generate signals for that cycle.
• The indicator displays visual alerts and notifications, ensuring fast execution of trades.
Disclaimer
The IG Signals+ indicator was created to assist traders who struggle to analyze the market by providing objective trade signals. However, no strategy is foolproof, and this script does not guarantee profits.
Trading involves significant financial risk, and users should test it in a demo account before trading with real money. Proper risk management is crucial for long-term success.
My Custom(Vwap+EMA cross+S/R)
This indicator stydy is combination of Vwap , crossover of moving averages that are 13 EMA and 21 EMA and Support and Resistances.
BBI & Bollinger交叉提示代码特点：
1. 多周期适配：自动适应所有时间框架（1分钟/小时/日/周等）
2. 双指标显示：蓝色BBI线与橙色布林中轨线直观显示
3. 信号提示：
- 金叉时在K线下方显示绿色"多"字三角形
- 死叉时在K线上方显示红色"空"字三角形
4. 警报支持：可设置声音/弹窗提醒
5. 参数可调：可直接修改均线周期（3/6/12/24和20日参数）
使用说明：
1. 在TradingView新建策略
2. 粘贴代码到编辑器
3. 添加到图表即可自动运行
4. 右键指标可调整颜色/样式参数
提示：建议配合成交量等指标共同使用，可提高信号准确性。实际交易前请在不同周期回测验证策略有效性。
