jamesmadeanother Rich's Golden Cross plots clear "BUY" signals on your chart when all conditions align, giving you a strategic edge in the markets. Whether you're a swing trader or a long-term investor, this indicator helps you stay ahead of the curve by filtering out noise and focusing on high-quality setups.
Why Choose Rich's Golden Cross?
Multi-Timeframe Analysis: Combines short-term and long-term trends for better accuracy.
Easy-to-Read Signals: Clear buy alerts directly on your chart.
Customizable: Adjust parameters to suit your trading style.
Take your trading to the next level with Rich's Golden Cross—your ultimate tool for spotting golden opportunities in the market.
Göstergeler ve stratejiler
rich's golden crossHow It Works:
Rich's Golden Cross plots clear "BUY" signals on your chart when all conditions align, giving you a strategic edge in the markets. Whether you're a swing trader or a long-term investor, this indicator helps you stay ahead of the curve by filtering out noise and focusing on high-quality setups.
Why Choose Rich's Golden Cross?
Multi-Timeframe Analysis: Combines short-term and long-term trends for better accuracy.
Easy-to-Read Signals: Clear buy alerts directly on your chart.
Customizable: Adjust parameters to suit your trading style.
Take your trading to the next level with Rich's Golden Cross—your ultimate tool for spotting golden opportunities in the market.
Indicador XAU/USD - Compras e VendasSegundo Indicador feito por Aneilton para analise do XAUUSD quando estiver em tendência de Baixa
XAU/USD Trend & Volume ConfirmationPrimeiro Indicador feito por Aneilton para dar suporte analise do XAUUSD
Multi-Timeframe RSI Grid Strategy with ArrowsKey Features of the Strategy
Multi-Timeframe RSI Analysis:
The strategy calculates RSI values for three different timeframes:
The current chart's timeframe.
Two higher timeframes (configurable via higher_tf1 and higher_tf2 inputs).
It uses these RSI values to identify overbought (sell) and oversold (buy) conditions.
Grid Trading System:
The strategy uses a grid-based approach to scale into trades. It adds positions at predefined intervals (grid_space) based on the ATR (Average True Range) and a grid multiplication factor (grid_factor).
The grid system allows for pyramiding (adding to positions) up to a maximum number of grid levels (max_grid).
Daily Profit Target:
The strategy has a daily profit target (daily_target). Once the target is reached, it closes all open positions and stops trading for the day.
Drawdown Protection:
If the open drawdown exceeds 2% of the account equity, the strategy closes all positions to limit losses.
Reverse Signals:
If the RSI conditions reverse (e.g., from buy to sell or vice versa), the strategy closes all open positions and resets the grid.
Visualization:
The script plots buy and sell signals as arrows on the chart.
It also plots the RSI values for the current and higher timeframes, along with overbought and oversold levels.
How It Works
Inputs:
The user can configure parameters like RSI length, overbought/oversold levels, higher timeframes, grid spacing, lot size multiplier, maximum grid levels, daily profit target, and ATR length.
RSI Calculation:
The RSI is calculated for the current timeframe and the two higher timeframes using ta.rsi().
Grid System:
The grid system uses the ATR to determine the spacing between grid levels (grid_space).
When the price moves in the desired direction, the strategy adds positions at intervals of grid_space, increasing the lot size by a multiplier (lot_multiplier) for each new grid level.
Entry Conditions:
A buy signal is generated when the RSI is below the oversold level on all three timeframes.
A sell signal is generated when the RSI is above the overbought level on all three timeframes.
Position Management:
The strategy scales into positions using the grid system.
It closes all positions if the daily profit target is reached or if a reverse signal is detected.
Visualization:
Buy and sell signals are plotted as arrows on the chart.
RSI values for all timeframes are plotted, along with overbought and oversold levels.
Example Scenario
Suppose the current RSI is below 30 (oversold), and the RSI on the 60-minute and 240-minute charts is also below 30. This triggers a buy signal.
The strategy enters a long position with a base lot size.
If the price moves against the position by grid_space, the strategy adds another long position with a larger lot size (scaled by lot_multiplier).
This process continues until the maximum grid level (max_grid) is reached or the daily profit target is achieved.
Key Variables
grid_level: Tracks the current grid level (number of positions added).
last_entry_price: Tracks the price of the last entry.
base_size: The base lot size for the initial position.
daily_profit_target: The daily profit target in percentage terms.
target_reached: A flag to indicate whether the daily profit target has been achieved.
Potential Use Cases
This strategy is suitable for traders who want to combine RSI-based signals with a grid trading approach to capitalize on mean-reverting price movements.
It can be used in trending or ranging markets, depending on the RSI settings and grid parameters.
Limitations
The grid trading system can lead to significant drawdowns if the market moves strongly against the initial position.
The strategy relies heavily on RSI, which may produce false signals in strongly trending markets.
The daily profit target may limit potential gains in highly volatile markets.
Customization
You can adjust the input parameters (e.g., RSI length, overbought/oversold levels, grid spacing, lot multiplier) to suit your trading style and market conditions.
You can also modify the drawdown protection threshold or add additional filters (e.g., volume, moving averages) to improve the strategy's performance.
In summary, this script is a sophisticated trading strategy that combines RSI-based signals with a grid trading system to manage entries, exits, and position sizing. It includes features like daily profit targets, drawdown protection, and multi-timeframe analysis to enhance its robustnes
Jushiro Ema CloudThis indicator combines three powerful tools—EMA crossovers, Bollinger Bands, and MACD—to create a layered trading approach.
Core Trend Framework (5 EMA vs. 10 EMA crossovers + Bollinger Bands)
MACD as your external confirmation tool for final execution
Key Mechanics
Step 1: Trend Foundation
Bullish Signal: 5 EMA crosses above 10 EMA
Bearish Signal: 5 EMA crosses below 10 EMA
Bollinger Bands act as an early-warning system (price exceeding upper band = preliminary caution).
Step 2: MACD as Final Arbiter
Your definitive sell signal occurs only when:
The MACD's signal line (9-period EMA of MACD) crosses BELOW the MACD line
This crossover must align with either:
a) A prior Bollinger Band warning or
b) The 5/10 EMA bearish crossover
Why This Works
Bollinger Bands flag potential exhaustion early
EMA crossovers confirm trend direction
MACD crossover becomes your non-negotiable trigger – ensuring momentum has decisively shifted before acting
Example Workflow (Sell Scenario):
① Price touches upper Bollinger Band → Early caution
② 5 EMA crosses below 10 EMA → Trend reversal confirmed
③ MACD lines cross bearish → Execute sell
This structure prevents premature exits by requiring all three components to align, with the MACD crossover serving as your final "green light."
ERFAN1RAHMATI...ADX/EMA.1for backtest. this indicator is design for price prediction and anaysis and when the trend is red, two lines are drawn in color and when is is green ....other data can be changed and customized JUST FOR Test
SAHIL SAXENA 1Sure! To add the buy and sell signals explicitly in the script, we will ensure that the strategy generates a clear "Buy" or "Sell" signal based on the conditions provided. Here's the updated Pine Script that includes the **buy** and **sell** signals along with visual plots.
### Updated Code with Buy/Sell Signal:
```pinescript
//@version=5
indicator("VWAP Scalping Strategy (3m) with Signals", overlay=true)
// Input parameters
vwapLength = input.int(1, title="VWAP Length", minval=1)
smaLength = input.int(9, title="SMA Length for Trend Filter", minval=1)
rsiLength = input.int(14, title="RSI Length", minval=1)
rsiOverbought = input.int(70, title="RSI Overbought Level")
rsiOversold = input.int(30, title="RSI Oversold Level")
stopLossPerc = input.float(0.2, title="Stop Loss (%)", minval=0.1, step=0.1)
takeProfitPerc = input.float(0.4, title="Take Profit (%)", minval=0.1, step=0.1)
// VWAP Calculation
vwap = ta.vwap(close)
// Simple Moving Average (SMA) for trend filtering
sma = ta.sma(close, smaLength)
// RSI Calculation
rsi = ta.rsi(close, rsiLength)
// Volume confirmation (optional, but can help with validating signals)
volumeSpike = volume > ta.sma(volume, 20) * 1.5
// Buy and Sell conditions
buySignal = ta.crossover(close, vwap) and close > sma and rsi < rsiOversold and volumeSpike
sellSignal = ta.crossunder(close, vwap) and close < sma and rsi > rsiOverbought and volumeSpike
// Plot VWAP and SMA
plot(vwap, color=color.blue, linewidth=2, title="VWAP")
plot(sma, color=color.orange, linewidth=2, title="SMA (Trend Filter)")
// Plot Buy and Sell signals
plotshape(series=buySignal, location=location.belowbar, color=color.green, style=shape.labelup, title="Buy Signal", text="BUY")
plotshape(series=sellSignal, location=location.abovebar, color=color.red, style=shape.labeldown, title="Sell Signal", text="SELL")
// Take Profit and Stop Loss Logic (for scalping)
var float buyPrice = na
var float stopLoss = na
var float takeProfit = na
if (buySignal)
buyPrice := close
stopLoss := buyPrice * (1 - stopLossPerc / 100)
takeProfit := buyPrice * (1 + takeProfitPerc / 100)
if (sellSignal)
buyPrice := na
stopLoss := na
takeProfit := na
// Exit conditions based on stop-loss and take-profit
longExit = (not na(buyPrice) and (close <= stopLoss or close >= takeProfit))
shortExit = (not na(buyPrice) and (close >= stopLoss or close <= takeProfit))
// Plot stop-loss and take-profit levels for reference
plot(series=longExit ? na : stopLoss, color=color.red, linewidth=1, style=plot.style_linebr)
plot(series=longExit ? na : takeProfit, color=color.green, linewidth=1, style=plot.style_linebr)
// Alert conditions for Buy and Sell signals
alertcondition(buySignal, title="Buy Signal", message="Price has crossed above VWAP, confirmed with RSI and volume spike.")
alertcondition(sellSignal, title="Sell Signal", message="Price has crossed below VWAP, confirmed with RSI and volume spike.")
```
### Breakdown of Changes:
1. **Buy and Sell Signal Logic**:
- **Buy Signal**: This occurs when:
- The price crosses above the VWAP (`ta.crossover(close, vwap)`),
- The price is above the 9-period SMA (`close > sma`), confirming the bullish trend,
- The RSI is below 30 (oversold condition), suggesting a potential reversal or a bounce,
- There’s a volume spike, confirming stronger participation.
- **Sell Signal**: This occurs when:
- The price crosses below the VWAP (`ta.crossunder(close, vwap)`),
- The price is below the 9-period SMA (`close < sma`), confirming the bearish trend,
- The RSI is above 70 (overbought condition), suggesting a potential reversal or pullback,
- There’s a volume spike, confirming stronger participation.
2. **Buy and Sell Signal Plots**:
- Green labels (`plotshape(series=buySignal, ...)`) are plotted below the bars to indicate **Buy** signals.
- Red labels (`plotshape(series=sellSignal, ...)`) are plotted above the bars to indicate **Sell** signals.
3. **Stop Loss and Take Profit**:
- For each **Buy Signal**, the script calculates the stop loss and take profit levels based on user-defined percentage inputs (0.2% for stop loss and 0.4% for take profit).
- It also visually plots these levels on the chart so you can monitor the exit points.
4. **Alert Conditions**:
- Custom alerts are included with `alertcondition()` so that you can be notified when a **Buy Signal** or **Sell Signal** occurs.
### How It Works:
- The strategy is designed for **scalping** on the **3-minute** chart. The signals are designed to capture small price movements.
- **Buy Signal**: Occurs when the price crosses above the VWAP, the price is above the trend filter (SMA), the RSI is in oversold territory, and there is a volume spike.
- **Sell Signal**: Occurs when the price crosses below the VWAP, the price is below the trend filter (SMA), the RSI is in overbought territory, and there is a volume spike.
- The script also includes **stop-loss** and **take-profit** levels to protect against larger losses and secure profits.
### Usage:
- Apply the strategy on a 3-minute chart for quick scalping trades.
- The **buy** and **sell** signals are marked with **green** and **red** labels on the chart, respectively.
- **Stop Loss** and **Take Profit** levels are calculated dynamically for each trade and plotted on the chart.
- You can enable **alerts** to notify you whenever a buy or sell signal is triggered.
### Final Note:
Make sure to backtest the strategy on historical data and fine-tune the parameters (e.g., stop loss, take profit, RSI, etc.) according to the market conditions and your risk tolerance. Scalping requires precision and careful risk management, so it’s important to adapt the strategy for your specific needs.
erfan1rahmati...EMA/ADX1for backtest. this indicator is design for price prediction and anaysis and when the trend is red, two lines are drawn in color and when is is green ....other data can be changed and customized
SuperTrend on SteroidsSuperTrend on Steroids 🚀
Overview
SuperTrend on Steroids is a **powerful intraday trading strategy designed for high-accuracy trend-following signals. It combines SuperTrend, VWAP, EMA, and ADX to provide **optimized entry and exit points. This script helps traders identify strong momentum-based trades while minimizing false signals.
📌 Key Features
✔ SuperTrend Indicator – Identifies trend direction using ATR-based volatility
✔ VWAP (Volume Weighted Average Price) – Confirms institutional buying/selling pressure
✔ EMA (Exponential Moving Average) – Smooths price action for better trend confirmation
✔ ADX (Average Directional Index) – Measures trend strength to avoid weak signals
✔ Buy/Sell Alerts – Clearly marked "BUY" and "SELL" signals for easy trade execution
✔ Trend Highlighting – Background changes color to indicate trend shifts
📈 How It Works
1. SuperTrend Calculation:
- Uses ATR period (10) and multiplier (3.0) to determine trend direction
- Green trend = Bullish, Red trend = Bearish
2. **VWAP & EMA Confirmation:
- VWAP above EMA = Bullish bias, VWAP below EMA = Bearish bias
- EMA (21) acts as a dynamic support/resistance level
3. ADX Filtering (Optional for Strong Trends):
- ADX above 25 = Strong trend, signals are more reliable
- ADX below 25 = Weak trend, caution is advised
4. Entry Conditions:
✅ BUY Signal:
- SuperTrend turns green (Uptrend confirmation)
- Price closes above VWAP and EMA
- ADX shows trend strength
❌ SELL Signal:
- SuperTrend turns red (Downtrend confirmation)
- Price closes below VWAP and EMA
- ADX confirms downtrend strength
🔍 Best Timeframes & Markets
⏳ Ideal for intraday & short-term trading(5 min, 15 min, 1 hour)
📊 Works best on trending assets (Crypto, Stocks, Forex)
⚠ Avoid using in sideways/choppy markets
🔔 Alerts & Optimization
📢 Set TradingView alerts for buy/sell signals to automate trade execution.
⚙ Customize ATR period, ADX smoothing, EMA length to fit different asset classes.
🚀 Why Use This Strategy?
✔ Combines multiple indicators for high accuracy
✔ Reduces false breakouts using ADX filter
✔ Clear buy/sell signals with visual trend confirmation
✔ Easy to customize for different markets & timeframes
🔹 Disclaimer: No strategy is 100% perfect. Always use proper risk management and test in a demo before live trading. Happy Trading! 🚀📊
Let me know if you need any modifications! 🚀🔥
Previous Candle High Low Break Previous candle high low break strategy if you want break out and break down on
Candles break out patter its sutable strategy
EMAx2 Trend Cloud Fill IndicatorInspired by @Skyrexio - adds a fill gradient between the fast slow EMA lines. Optionally, the fill gradient can be hidden or disabled without adjusting opacity settings!
Moving Average Ribbon with Cross Markers (Po)Basically just MA Ribbon with crossover markers, works nicely on 1 month 30 minute view.
EMA + RSI + SR Key Features:
Inputs:
EMA Length (default: 50), RSI Length (14), HMA Length (20).
Overbought (70) and Oversold (30) RSI levels.
Support/Resistance Lookback (50).
Calculations:
EMA: Trend baseline.
HMA: Smoother trend detection.
RSI: Overbought/oversold conditions.
Support/Resistance Levels: Recent highs/lows over the lookback period.
Signals:
Buy: Uptrend + RSI oversold + near support.
Sell: Downtrend + RSI overbought + near resistance.
Visuals:
Plots EMA, HMA, RSI levels, support/resistance lines.
Buy/sell signals as labels on the chart.
Alerts:
Notifications for buy/sell signals.
EMA Crossover with 50 EMA Filter50-period EMA: We added the 50-period EMA as the filterEMA variable.
Buy and Sell Conditions: The buy signal is generated only if the 8-period and 16-period EMAs both cross above each other and are above the 50-period EMA. Similarly, the sell signal is generated when the 8-period and 16-period EMAs cross below each other and are below the 50-period EMA.
Plotting: The 50-period EMA is also plotted on the chart (in orange).
This strategy will ensure that the buy signals are only triggered when the trend is considered "bullish" (both EMAs above the 50 EMA) and sell signals when the trend is "bearish" (both EMAs below the 50 EMA).
You can set up alerts for both buy and sell conditions using the alertcondition() function.
Let me know if you need further adjustments!
NOTE :- Applicable only for banknifty
Multi-Timeframe ADX-deepak chaturvediYou can monitor 3 different adx of 3 different time frames getting idea of mid term long term and current period trend
enjoy
SAVE ORDER'S STRATEGY V - 1
This Strategy is Using Save Order's Instate of Stop Loss to Profit of the Assets
in this case bitcoin
There is no stop loss
What is Save Order ?
SAVE ORDER IS WHEN IS IN LONG POSITION LIMIT SAVE ORDERS ARE PLACED BELOW -
THE LONG POSITION ON SET DISTANCE TO LOWER THE AVERAGE PRICE OF ALL POSITIONS
WHEN THE ASSET PRICE GO UP LIKE BITCOIN THIS STRATEGY WILL TAKE PROFIT ON -
AVERAGE PRICE FOR ALL ORDER'S
TAKE PROFIT IS TRIALING OR AVERAGE PRICE + TAKE PROFIT %
IF % TRIALING IS USE - AND THE PRACE IS >= TO AVERAGE PRICE + TAKE PROFIT % -
IN REAL TIME THE % TRAILING WILL WORK
UNFORTUNATELY ON BACK TESTING IS NOT REALISTIC
GETTING LONG IS CROSSUNDER FAST HMA - SLOW HMA - THE LENGTHS' CAN BE CHANGE
ALL THE DISTANCE IS DETERMINED BY MAIN SMOOTHED DYNAMIC MA
ONE'S IT GET ON THE FIRST POSITION THE LIMIT ORDER'S ARE SET STATICALLY -
and plot 1 by one
The SUM in Cash for Base Order and All Save orders can be Adjusted
The Distance of the Save orders can be Adjusted
Fast and Slow HMA are plotted
Take Profit and Average Price of the position are plotted
Volume Weighted Average Price - CoinruleVWAP with additional Anchor Periods as supported on Coinrule.
Market Pressure Index [AlgoAlpha]The Market Pressure Index is a cutting-edge trading tool designed to measure and visualize bullish and bearish momentum through a unique blend of volatility analysis and dynamic smoothing techniques. This indicator provides traders with an intuitive understanding of market pressure, making it easier to identify trend shifts, breakout opportunities, and key moments to take profit. Perfect for scalpers and swing traders looking for a strategic edge in volatile markets.
Key Features:
🔎 Bullish and Bearish Volatility Separation : Dynamically calculates and displays bullish and bearish momentum separately, helping traders assess market direction with precision.
🎨 Customizable Appearance: Set your preferred colors for bullish and bearish signals to match your chart's theme.
📊 Deviation-Based Upper Band : Tracks extreme volatility levels using a configurable deviation multiplier, highlighting potential breakout points.
📈 Real-Time Signal Alerts : Provides alerts for bullish and bearish crossovers, as well as take-profit signals, ensuring you never miss key market movements.
⚡ Gradient-Based Visualization : Uses color gradients to depict the intensity of market pressure, making it easy to spot changes in momentum at a glance.
How to Use:
Add the Indicator : Add the Market Pressure Index to your TradingView chart by clicking the star icon. Customize inputs like the pressure lookback period, deviation settings, and colors to fit your trading style.
Interpret the Signals : Monitor the bullish and bearish momentum columns to gauge market direction. Look for crossovers to signal potential trend changes.
Take Action : Use alerts for breakouts above the upper band or for take-profit levels to enhance your trade execution.
How It Works:
The Market Pressure Index separates bullish and bearish momentum by analyzing price movement (close vs. open) and volatility. These values are smoothed using Hull Moving Averages (HMA) to highlight trends while minimizing noise. A deviation-based upper band dynamically tracks market extremes, signaling breakout zones. Color gradients depict the intensity of momentum, offering a clear, visually intuitive representation of market pressure. Alerts are triggered when significant crossovers or take-profit conditions occur, giving traders actionable insights without constant chart monitoring.
Pin Bar Signal with SMA and Bollinger Bands FilterИндикатор выдаёт сигнал на вход в сделку, если появляется пин-бар. В зависимости от настроек, это будет бычий пин-бар от нижней границы полос Боллинджера или медвежий пин-бар - от верхней. Если вы выберете фильтр по SMA, то это будет бычий пин-бар, когда график над линией SMA, и медвежий пин-бар - под линией SMA. В настройках можно включить оба способа фильтрации или отдельно каждый.
Особенности индикатора:
1. Определяет пин-бары по критериям:
- Для бычьего пин-бара: нижняя тень > 2× верхней тени и тела
- Для медвежьего пин-бара: верхняя тень > 2× нижней тени и тела
2. Фильтрация:
- SMA (20 периодов по умолчанию)
- Полосы Боллинджера (20 периодов по умолчанию)
3. Настройки:
- Можно включать/выключать фильтры (SMA, полосы Боллинджера)
- Настраиваемые периоды и параметры
- Визуализация сигналов
Оптимизировано для 15M графика:
- Использует быстрые встроенные функции (ta.sma, ta.stdev)
- Минимизирует сложные вычисления
- Подходит для работы в реальном времени