IU Range Trading StrategyIU Range Trading Strategy
The IU Range Trading Strategy is designed to identify range-bound markets and take trades based on defined price ranges. This strategy uses a combination of price ranges and ATR (Average True Range) to filter entry conditions and incorporates a trailing stop-loss mechanism for better trade management.
User Inputs:
- Range Length: Defines the number of bars to calculate the highest and lowest price range (default: 10).
- ATR Length: Sets the length of the ATR calculation (default: 14).
- ATR Stop-Loss Factor: Determines the multiplier for the ATR-based stop-loss (default: 2.00).
Entry Conditions:
1. A range is identified when the difference between the highest and lowest prices over the selected range is less than or equal to 1.75 times the ATR.
2. Once a valid range is formed:
- A long trade is triggered at the range high.
- A short trade is triggered at the range low.
Exit Conditions:
1. Trailing Stop-Loss:
- The stop-loss adjusts dynamically using ATR targets.
- The strategy locks in profits as the trade moves in your favor.
2. The stop-loss and take-profit levels are visually plotted for transparency and easier decision-making.
Features:
- Automated box creation to visualize the trading range.
- Supports one position at a time, canceling opposite-side entries.
- ATR-based trailing stop-loss for effective risk management.
- Clear visual representation of stop-loss and take-profit levels with colored bands.
This strategy works best in markets with defined ranges and can help traders identify breakout opportunities when the price exits the range.
Indicateurs et stratégies
New intraday high with weak barStrategy Logic:
The strategy checks if the current bar’s high is the highest high of the last 10 bar and if internal bar strength is less than 0.15.
Position is closed when close is greater than the previous bar’s high.
When a position is open, the script applies a light green background on the chart to signal that you are in a trade.
9/21/50/200 By DSW Trend Reversal for OptionsThis strategy identifies potential trend reversals using a combination of 9, 21, 50, and 200-period moving averages. The script signals bullish reversals when the shorter moving averages cross above the longer ones, indicating a potential upward trend, and bearish reversals when the opposite happens, signaling a downward trend.
It’s particularly useful for options trading, as it highlights key entry points for call and put options based on market momentum shifts. The moving averages are dynamically plotted, and the script provides visual alerts when crossovers occur.
This tool can help traders spot trend changes early, allowing for timely options strategies. Backtest the strategy and adjust parameters for different timeframes or market conditions.
BTC/USD Gaussian Channel 1 Day Chart - Foneysmiles v1.0 Cryptocurrency trading strategy specifically designed for BTC/USD on a daily timeframe.
Strategy Framework:
Initial capital: $10,000
Position size: 60% of equity per trade
Commission: 0.1%
Slippage: 4 points
Time range: From January 2018 to end of 2069 (effectively no end date)
Gaussian Channel: The primary technical indicator that creates an adaptive channel around price
Uses a complex Gaussian filter with customizable poles (default 4)
Sampling period of 144 days
True Range multiplier of 1.414
Options for reduced lag and fast response modes
Price source defaults to HLC3 (High + Low + Close / 3)
Stochastic RSI with:
RSI length: 21 periods
Stochastic length: 200 periods
K smoothing: 1 period
D smoothing: 4 periods
Entry Conditions:
A long position is entered when ALL of these conditions are met:
The Gaussian filter is trending up (finalFilter > finalFilter )
Price is above the upper Gaussian channel band (close > hband)
Stochastic RSI is in extreme territory (k > 80 or k < 20)
Within the specified date range
Exit Conditions:
Positions are closed when price crosses below the upper band of the Gaussian channel
The visualization includes:
A color-coded Gaussian filter line (green when rising, red when falling)
Upper and lower bands forming a channel
The channel is filled with a semi-transparent version of the same color
This is a trend-following strategy that aims to catch strong upward moves in Bitcoin while using the Stochastic RSI as an additional filter. The strategy only takes long positions and doesn't include any short trades.
foneysmiles@gmail.com if you have any questions or have other use cases
KON SET By Sai"KON SET By Sai is a trend-following strategy that utilizes ATR-adjusted moving averages to determine entry and exit points. The strategy enters a long position when the price crosses above a custom moving average (adjusted by the ATR value) and exits at a defined target or stop-loss based on the ATR. Additionally, it incorporates re-entry logic, allowing the strategy to re-enter when the price reverses back to the entry point. This strategy is suitable for trend traders who want to manage risk with dynamically calculated stop-loss and target levels."
Tags:
Trend-following
ATR-based strategy
Entry and exit strategy
Stop-loss and target
Re-entry logic
Pine Script strategy
Algorithmic trading
Example Use Case:
"This strategy can be used to trade in trending markets. It provides clear entry and exit signals with automated risk management, making it ideal for traders who prefer systematic approaches to trade management. It works best on lower timeframes (like 5min) for capturing medium-term trends."
How It Works:
Entry Point: The strategy enters a long position when the price crosses above an ATR-adjusted moving average (set by the user).
Exit Points:
Stop-loss is set dynamically based on the ATR value.
Target is also based on the ATR, with an additional multiplier for customization.
Re-entry Logic: If the price retraces back to the entry level, the strategy re-enters the position.
Exit Conditions: The strategy exits when the price hits the stop-loss or target price.
Example:
If the current ATR is 2.0, the strategy will:
Stop-loss: 2x ATR below the entry price.
Target: 5 + user-defined multiplier x ATR above the entry price.
Demo GPT - Gold Gaussian StrategyA simple GPT stategy for XAU-USD pairs, limited success on backtasting with cryto.
Invest SMA|MACD|ADX Long Weekly Strategy (BtTL)Diese Strategie kombiniert drei bewährte technische Indikatoren (SMA, MACD und ADX) für präzise Long-Einstiege auf dem Wochenchart.
Hauptmerkmale:
Einstiegssignale basieren auf einer Kombination aus SMA (30), MACD (9,18,9) und ADX (14)
Intelligentes Stop-Loss-Management durch Swing-Low-Erkennung
Trendbestätigung durch ADX > 25
Optimiert für Wochencharts
Konservatives Risikomanagement durch mehrfache Signalbestätigung
Einstiegsbedingungen:
Kurs über SMA
MACD über Signallinie und im positiven Bereich
ADX zeigt starken Trend (>25)
Ausstiegsstrategie:
Stop-Loss wird automatisch am vorletzten Swing-Low gesetzt
Position wird geschlossen, wenn der Kurs unter den SMA fällt
🇬🇧 English:
This strategy combines three proven technical indicators (SMA, MACD, and ADX) for precise long entries on the weekly chart.
Key Features:
Entry signals based on a combination of SMA (30), MACD (9,18,9), and ADX (14)
Intelligent stop-loss management through swing low detection
Trend confirmation using ADX > 25
Optimized for weekly charts
Conservative risk management through multiple signal confirmation
Entry Conditions:
Price above SMA
MACD above signal line and in positive territory
ADX showing strong trend (>25)
Exit Strategy:
Stop-loss automatically set at second-last swing low
Position closes when price falls below SMA
MI-Advanced Long/Short StrategyAdvanced Multi-Indicator Trading Strategy
Combining Trend Following, Momentum Confirmation & Risk Management
This sophisticated trading strategy is designed to identify high-probability long/short opportunities using a confluence of technical indicators while maintaining strict risk control. It combines trend analysis, momentum confirmation, and volume-based validation to generate clear buy/sell signals across various markets and timeframes.
Core Components
Trend Identification Engine
Dual EMA System (12/26 periods):
Bullish bias when 12-EMA > 26-EMA
Bearish bias when 12-EMA < 26-EMA
Supertrend Indicator:
Dynamic trend filter using price volatility
Green line = Bullish trend (longs enabled)
Red line = Bearish trend (shorts enabled)
Momentum Confirmation
MACD Histogram:
Bullish crossover (signal line cross) for entries
Bearish crossover for exits/reversals
RSI Threshold:
50-level as momentum baseline
Longs only when RSI > 50
Shorts only when RSI < 50
Volume Validation
20-period volume moving average
Entry requires 150%+ volume spike
Filters low-confidence moves
Risk Management Framework
ATR-Based Stops:
2x ATR (14-period) stop loss
3x ATR take profit (1:1.5 RR ratio)
Position Sizing:
Percentage-based equity management
Built-in commission calculation
Signal Generation Logic
Long Entry Conditions (All Must Be True):
12-EMA crosses above 26-EMA
MACD line crosses above signal line
RSI sustains above 50 level
Price above Supertrend line (green)
Volume spike confirmation
Short Entry Conditions (All Must Be True):
12-EMA crosses below 26-EMA
MACD line crosses below signal line
RSI holds below 50 level
Price below Supertrend line (red)
Volume spike confirmation
Exit Conditions:
Trailing stop via Supertrend reversal
EMA crossover in opposite direction
RSI crossing 50 threshold
Automatic profit targets/stops
Key Features
Multi-Timeframe Compatibility: Works on 1M-1D charts
Visual Clarity:
Colored EMA ribbons for trend direction
Label-based buy/sell markers
Supertrend overlay for real-time guidance
Alert System:
Built-in buy/sell alert conditions
Compatible with email/SMS notifications
Adaptive Risk:
Dynamic stop-loss adjustment
Position sizing relative to account equity
False Signal Filter:
Volume spike requirement
Triple confirmation (trend+momentum+volume)
Strategic Advantages
Trend-Riding Capability:
Captures sustained moves via Supertrend/EMA combo
Avoids choppy markets through volume filters
Confirmation Hierarchy:
Primary Trend: EMA crossover
Secondary Confirmation: MACD/RSI
Tertiary Validation: Volume/Supertrend
Risk-Controlled Execution:
Automatic stop-loss placement
Fixed risk/reward ratio enforcement
Commission-aware backtesting
Visual Trading Psychology:
Clear color-coded indicators reduce emotional trading
Objective entry/exit rules eliminate guesswork
Ideal Market Conditions
Best Performing: Trending markets (up/down)
Avoid During:
Low-volume periods
Consolidation/ranging markets
Major news events
Practical Usage Tips
Combine with higher timeframe analysis
Adjust ATR multiplier for volatile assets
Modify volume threshold for liquid markets
Use trailing stops for extended trends
Pair with fundamental catalysts for swing trades
This strategy provides a systematic approach to trading by combining technical analysis with disciplined risk management. Its multi-layered confirmation process aims to filter out market noise while capturing high-quality setups, making it suitable for both discretionary traders and automated trading systems.
ROBOT RSI V6 inputRobot (test pas complet) qui prends position en se basant sur un croisement des MM et sur les achats et surventes du RSI
Donchian Breakout StrategyOverview
The Donchian Breakout Strategy is a trend-following system that identifies potential long trade opportunities based on price breakouts from a specified range (Donchian Channel). This script enhances the traditional Donchian breakout strategy by adding an optional volume filter and integrating the Supertrend indicator for additional confirmation.
This indicator is particularly effective on daily or weekly charts of indices like Nifty and BankNifty, but it can also be used on other instruments with strong trending characteristics.
Key Features
Donchian Channel:
Calculates the highest high and lowest low over a user-defined period.
Provides visual cues for price breakouts (upper band) and breakdowns (lower band).
Optional Volume Filter:
Filters buy signals by requiring volume to exceed its 20-period moving average (enabled/disabled via a toggle).
Supertrend Indicator:
Confirms the trend direction.
Plots a green line for bullish trends and a red line for bearish trends.
Configurable Exit Options:
Multiple exit strategies, including lower Donchian band, mid-band (basis line), or Supertrend.
Trailing stop-loss option to lock in profits.
Backtest Date Range:
Specify the start and end dates for backtesting the strategy.
Inputs and Settings
1. Donchian Channel
Length: The number of bars used to calculate the highest high and lowest low (default: 21).
2. Volume Filter
Enable Volume Filter: Toggles the volume filter on or off. When enabled, long entries require the volume to exceed its 20-period moving average.
3. Supertrend
Multiplier: Adjusts the sensitivity of the Supertrend indicator (default: 1).
Length: Defines the period for the Supertrend calculation (default: 10).
4. Exit Options
Exit Option:
Option 1: Exit when the price crosses below the lower Donchian band.
Option 2: Exit when the price crosses below the mid-band (basis line).
Option 3: Exit when the price crosses below the Supertrend line.
Option 4: Use a trailing stop-loss (default percentage: 3%).
5. Backtesting Range
Start/End Date: Define the period for backtesting trades. Entries and exits will only occur within this range.
How to Use
Step 1: Add the Indicator
Apply this script to your TradingView chart.
Use it on instruments with strong trending characteristics, such as indices or trending stocks.
Step 2: Configure Inputs
Adjust the Donchian length based on your preferred timeframe and market conditions (e.g., 21 for daily, 52 for weekly charts).
Toggle the volume filter to filter false signals during low-volume periods.
Customize the Supertrend multiplier and length to align with your risk tolerance.
Step 3: Interpret Signals
Long Entry:
Triggered when the price closes above the upper Donchian band.
(Optional) Volume must exceed its 20-period moving average if the filter is enabled.
Exit:
Select an exit strategy that matches your trading style:
Trend-following: Use the Supertrend line.
Range-bound: Use the lower Donchian band or mid-band.
Example Usage Scenarios
Trending Markets:
Apply on indices like Nifty or BankNifty with daily/weekly timeframes.
Enable the volume filter to confirm strong breakouts.
Use the Supertrend for trend direction and trailing stops.
Swing Trading:
Use shorter Donchian lengths (e.g., 10) to capture smaller price movements.
Disable the volume filter for highly liquid instruments.
Best Practices
Combine with higher timeframes (e.g., weekly chart) for trend confirmation.
Use the Supertrend indicator to stay in trades during trending markets.
Backtest with various settings to identify optimal parameters for your preferred instruments.
Warnings
This strategy works best in trending markets; performance may degrade in choppy or range-bound conditions.
The volume filter might reduce the number of signals, which could limit opportunities in low-volume instruments.
Always combine this indicator with proper risk management practices.
Visualization
Donchian Channel:
Upper band: Represents breakout levels.
Lower band: Represents breakdown levels.
Mid-band (orange): Average of the upper and lower bands.
Supertrend:
Green line: Bullish trend.
Red line: Bearish trend.
Volume Filter:
Ensure volume exceeds the 20-period moving average for valid long entries (when enabled).
pinstraticoestrategia de compra y venta
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Gaussian Channel Strategy v3.0 - CAFGaussian channel strategy using stochastic RSI to mark buy and sell
MACD RSI Strategy by BiegeThis strategy combines:
• MACD (Lagging Indicator): Confirms trend direction using moving averages.
• RSI (Leading Indicator): Identifies overbought/oversold conditions for potential reversal signals.
Entry Signal: When the MACD confirms a bullish trend (MACD line crosses above the signal line) and the RSI is oversold (below the defined threshold).
Exit Signal: Stop loss, take profit, or a bearish MACD crossover (MACD line crosses below the signal line).
This strategy emphasizes risk management through:
1. Balanced Indicators: Combining a leading and lagging indicator attempts to balance responsiveness and reliability.
2. Position Sizing: Limiting the percentage of capital used per trade controls potential losses on any single trade.
3. Cooldown Period: This helps prevent emotional trading and chasing losses.
4. Stop Loss Orders: Stop losses are crucial for limiting losses if a trade moves against your position.
This strategy is designed to perform best in markets with clear trends and moderate volatility. It's important to be aware of its limitations and avoid using it during:
• Earnings reports or major news events: Fundamental analysis is more appropriate in these situations.
• Extreme bear markets or extended periods of consolidation: MACD can lag significantly during sustained downtrends, and RSI can generate numerous false signals in choppy markets.
• Low-liquidity periods: Low liquidity can lead to slippage and wider spreads, which can negatively impact profitability.
By combining leading (RSI) and lagging (MACD) indicators and emphasizing risk management, this strategy aims to provide a relatively balanced and safer approach to trend following. However, no trading strategy can guarantee profits, and all trading involves risk. It's essential to understand the risks involved and to trade responsibly.
Strategy EngulfingThis script implements a trading strategy that identifies "engulfing" candlestick patterns and uses the Supertrend indicator to enter and exit trades.
2-Candle Breakout StrategyTrade on buy sell signal works on 30min ...hourly timeframe... buy next candle of signal candle corssing high ...opposite for Sell
9 & 15 EMA Crossover Strategyema crossover indicator ready for you guys for information
contact at instagrame @the_alpha_trader007
高胜率交易策略在TradingView上创建一个高胜率的交易指标需要结合多种技术分析工具，如均线、动量指标、成交量等。以下是一个基于**均线交叉 + RSI + 成交量过滤**的复合策略指标，适用于多种市场（如加密货币、股票、外汇等）。该指标会生成买入和卖出信号，并尽量提高胜率。
---
### **指标逻辑**
1. **均线交叉**：
- 短期均线（如9周期EMA）上穿长期均线（如21周期EMA）时，生成买入信号。
- 短期均线下穿长期均线时，生成卖出信号。
2. **RSI过滤**：
- 仅在RSI（相对强弱指数）处于30-70区间时触发信号，避免超买/超卖区域的假信号。
3. **成交量过滤**：
- 买入信号需伴随成交量放大（如成交量高于过去20周期的平均值）。
4. **止损与止盈**：
- 基于ATR（平均真实波幅）设置动态止损和止盈水平。
---
### **TradingView Pine Script代码**
以下是完整的Pine Script代码，可直接复制到TradingView中使用：
```pinescript
//@version=5
indicator("高胜率交易策略", overlay=true)
// 参数设置
shortLength = input.int(9, title="短期均线周期")
longLength = input.int(21, title="长期均线周期")
rsiLength = input.int(14, title="RSI周期")
volumeFilter = input.bool(true, title="启用成交量过滤")
atrLength = input.int(14, title="ATR周期")
takeProfitMultiplier = input.float(2.0, title="止盈倍数")
stopLossMultiplier = input.float(1.0, title="止损倍数")
// 计算均线
shortMA = ta.ema(close, shortLength)
longMA = ta.ema(close, longLength)
// 计算RSI
rsi = ta.rsi(close, rsiLength)
// 计算ATR
atr = ta.atr(atrLength)
// 成交量过滤
volumeAvg = ta.sma(volume, 20)
volumeCondition = volume > volumeAvg
// 生成信号
buySignal = ta.crossover(shortMA, longMA) and rsi > 30 and rsi < 70 and (volumeFilter ? volumeCondition : true)
sellSignal = ta.crossunder(shortMA, longMA)
// 止损与止盈
if (buySignal)
strategy.entry("Buy", strategy.long)
strategy.exit("Take Profit/Stop Loss", "Buy", limit=close + atr * takeProfitMultiplier, stop=close - atr * stopLossMultiplier)
if (sellSignal)
strategy.close("Buy")
// 绘制信号
plotshape(series=buySignal, title="买入信号", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(series=sellSignal, title="卖出信号", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// 绘制均线
plot(shortMA, color=color.blue, title="短期均线")
plot(longMA, color=color.orange, title="长期均线")
```
---
### **使用方法**
1. 打开TradingView，进入任意图表。
2. 点击“Pine Script编辑器”，将上述代码粘贴并保存。
3. 返回图表，指标会自动加载，显示买入（BUY）和卖出（SELL）信号。
---
### **参数优化建议**
1. **均线周期**：
- 短期均线：9-12周期（适合短线交易）。
- 长期均线：21-50周期（适合中长线交易）。
2. **RSI参数**：
- 默认14周期，可调整为10-20周期以适应不同市场。
3. **ATR止损止盈**：
- 止损倍数：1.0-1.5（保守型）。
- 止盈倍数：2.0-3.0（激进型）。
4. **成交量过滤**：
- 在低波动市场（如外汇）可关闭，在高波动市场（如加密货币）建议开启。
---
### **策略优势**
1. **高胜率**：通过均线交叉 + RSI过滤，减少假信号。
2. **动态止损止盈**：基于ATR设置，适应市场波动。
3. **灵活性**：参数可调，适用于不同市场和交易风格。
---
### **注意事项**
1. **回测验证**：在实盘前，务必在TradingView中进行历史回测，验证策略表现。
2. **风险管理**：单笔交易风险控制在总资金的1%-2%。
3. **市场适应性**：该策略在趋势市场中表现较好，震荡市场中可能出现连续亏损。
---
如果对代码或策略有进一步问题，欢迎随时提问！
SQZMOM_LB StrategyUtiliza el indicador sqzmom, abriendo operaciones cuando el indicador cambia al color 3 y cerrandolas cuando cambia al color 1
9/21 EMA_DSWThe 9 and 21 EMA strategy involves using the 9-day and 21-day exponential moving averages to identify potential buy and sell signals. A buy signal is generated when the 9 EMA crosses above the 21 EMA, and a sell signal is generated when the 9 EMA crosses below the 21 EMA.
Jinx Systems - AdvancedWorking solution to the question, "Hey, where the heck is the market going?"
Run this script on as many securities as one can manage.
