Sirilak Heikin Ashi + RSI Crossover Strategy (Chart)//@version=5
indicator("Sirilak Heikin Ashi + RSI Crossover Strategy (Chart)", overlay=true)
// Heikin Ashi Calculations
var float haClose = na
var float haOpen = na
var float haHigh = na
var float haLow = na
haClose := (open + high + low + close) / 4
haOpen := na(haOpen ) ? (open + close) / 2 : (haOpen + haClose ) / 2
haHigh := math.max(high, math.max(haOpen, haClose))
haLow := math.min(low, math.min(haOpen, haClose))
// Heikin Ashi Color Logic
isGreen = haClose > haOpen // Green candle
isRed = haClose < haOpen // Red candle
// RSI Calculations
rsiLength = input.int(5, title="RSI Length")
rsiSmaLength = input.int(21, title="RSI SMA Length")
rsiValue = ta.rsi(close, rsiLength)
rsiSma = ta.sma(rsiValue, rsiSmaLength)
// RSI Crossover Logic
rsiCrossAbove = ta.crossover(rsiValue, rsiSma) // RSI crosses above its SMA
rsiCrossBelow = ta.crossunder(rsiValue, rsiSma) // RSI crosses below its SMA
// Buy Signal (Entry) - After Candle Close
buySignal = isGreen and rsiCrossAbove and barstate.isconfirmed
// Buy Exit (Close) - After Candle Close
buyExit = isRed and rsiCrossBelow and barstate.isconfirmed
// Sell Signal (Entry) - After Candle Close
sellSignal = isRed and rsiCrossBelow and barstate.isconfirmed
// Sell Exit (Close) - After Candle Close
sellExit = isGreen and rsiCrossAbove and barstate.isconfirmed
// Plot Heikin Ashi Candles on the Main Chart
candleColor = isGreen ? color.green : color.red
plotcandle(haOpen, haHigh, haLow, haClose, color=candleColor)
// Plot Buy Entry Signal (Green Label Below Candle)
plotshape(series=buySignal, location=location.belowbar, color=color.green, style=shape.labelup, text="BUY", size=size.small, offset=0)
// Plot Buy Exit Signal (Yellow Label Above Candle)
plotshape(series=buyExit, location=location.abovebar, color=color.yellow, style=shape.labeldown, text="BUY EXIT", size=size.small, offset=0)
// Plot Sell Entry Signal (Red Label Above Candle)
plotshape(series=sellSignal, location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL", size=size.small, offset=0)
// Plot Sell Exit Signal (Black Label Below Candle)
plotshape(series=sellExit, location=location.belowbar, color=color.black, style=shape.labelup, text="SELL EXIT", size=size.small, offset=0)
// Alerts (Triggered Only After Candle Close)
if (buySignal)
alert("BUY: Heikin Ashi Green + RSI Cross Above SMA", alert.freq_once_per_bar_close)
if (buyExit)
alert("BUY EXIT: Heikin Ashi Red + RSI Cross Below SMA", alert.freq_once_per_bar_close)
if (sellSignal)
alert("SELL: Heikin Ashi Red + RSI Cross Below SMA", alert.freq_once_per_bar_close)
if (sellExit)
alert("SELL EXIT: Heikin Ashi Green + RSI Cross Above SMA", alert.freq_once_per_bar_close)
Bands and Channels
SBS INTRA PROIndicator is useful for both intraday and long term purposes.
use 5 MIn, 15Min TF for intraday
and for long term use Weekly TF.
[3Commas] Turtle StrategyTurtle Strategy
🔷 What it does: This indicator implements a modernized version of the Turtle Trading Strategy, designed for trend-following and automated trading with webhook integration. It identifies breakout opportunities using Donchian channels, providing entry and exit signals.
Channel 1: Detects short-term breakouts using the highest highs and lowest lows over a set period (default 20).
Channel 2: Acts as a confirmation filter by applying an offset to the same period, reducing false signals.
Exit Channel: Functions as a dynamic stop-loss (wait for candle close), adjusting based on market structure (default 10 periods).
Additionally, traders can enable a fixed Take Profit level, ensuring a systematic approach to profit-taking.
🔷 Who is it for:
Trend Traders: Those looking to capture long-term market moves.
Bot Users: Traders seeking to automate entries and exits with bot integration.
Rule-Based Traders: Operators who prefer a structured, systematic trading approach.
🔷 How does it work: The strategy generates buy and sell signals using a dual-channel confirmation system.
Long Entry: A buy signal is generated when the close price crosses above the previous high of Channel 1 and is confirmed by Channel 2.
Short Entry: A sell signal occurs when the close price falls below the previous low of Channel 1, with confirmation from Channel 2.
Exit Management: The Exit Channel acts as a trailing stop, dynamically adjusting to price movements. To exit the trade, wait for a full bar close.
Optional Take Profit (%): Closes trades at a predefined %.
🔷 Why it’s unique:
Modern Adaptation: Updates the classic Turtle Trading Strategy, with the possibility of using a second channel with an offset to filter the signals.
Dynamic Risk Management: Utilizes a trailing Exit Channel to help protect gains as trades move favorably.
Bot Integration: Automates trade execution through direct JSON signal communication with your DCA Bots.
🔷 Considerations Before Using the Indicator:
Market & Timeframe: Best suited for trending markets; higher timeframes (e.g., H4, D1) are recommended to minimize noise.
Sideways Markets: In choppy conditions, breakouts may lead to false signals—consider using additional filters.
Backtesting & Demo Testing: It is crucial to thoroughly backtest the strategy and run it on a demo account before risking real capital.
Parameter Adjustments: Ensure that commissions, slippage, and position sizes are set accurately to reflect real trading conditions.
🔷 STRATEGY PROPERTIES
Symbol: BINANCE:ETHUSDT (Spot).
Timeframe: 4h.
Test Period: All historical data available.
Initial Capital: 10000 USDT.
Order Size per Trade: 1% of Capital, you can use a higher value e.g. 5%, be cautious that the Max Drawdown does not exceed 10%, as it would indicate a very risky trading approach.
Commission: Binance commission 0.1%, adjust according to the exchange being used, lower numbers will generate unrealistic results. By using low values e.g. 5%, it allows us to adapt over time and check the functioning of the strategy.
Slippage: 5 ticks, for pairs with low liquidity or very large orders, this number should be increased as the order may not be filled at the desired level.
Margin for Long and Short Positions: 100%.
Indicator Settings: Default Configuration.
Period Channel 1: 20.
Period Channel 2: 20.
Period Channel 2 Offset: 20.
Period Exit: 10.
Take Profit %: Disable.
Strategy: Long & Short.
🔷 STRATEGY RESULTS
⚠️Remember, past results do not guarantee future performance.
Net Profit: +516.87 USDT (+5.17%).
Max Drawdown: -100.28 USDT (-0.95%).
Total Closed Trades: 281.
Percent Profitable: 40.21%.
Profit Factor: 1.704.
Average Trade: +1.84 USDT (+1.80%).
Average # Bars in Trades: 29.
🔷 How to Use It:
🔸 Adjust Settings:
Select your asset and timeframe suited for trend trading.
Adjust the periods for Channel 1, Channel 2, and the Exit Channel to align with the asset’s historical behavior. You can visualize these channels by going to the Style tab and enabling them.
For example, if you set Channel 2 to 40 with an offset of 40, signals will take longer to appear but will aim for a more defined trend.
Experiment with different values, a possible exit configuration is using 20 as well. Compare the results and adjust accordingly.
Enable the Take Profit (%) option if needed.
🔸Results Review:
It is important to check the Max Drawdown. This value should ideally not exceed 10% of your capital. Consider adjusting the trade size to ensure this threshold is not surpassed.
Remember to include the correct values for commission and slippage according to the symbol and exchange where you are conducting the tests. Otherwise, the results will not be realistic.
If you are satisfied with the results, you may consider automating your trades. However, it is strongly recommended to use a small amount of capital or a demo account to test proper execution before committing real funds.
🔸Create alerts to trigger the DCA Bot:
Verify Messages: Ensure the message matches the one specified by the DCA Bot.
Multi-Pair Configuration: For multi-pair setups, enable the option to add the symbol in the correct format.
Signal Settings: Enable the option to receive long or short signals (Entry | TP | SL), copy and paste the messages for the DCA Bots configured.
Alert Setup:
When creating an alert, set the condition to the indicator and choose "alert() function call only".
Enter any desired Alert Name.
Open the Notifications tab, enable Webhook URL, and paste the Webhook URL.
For more details, refer to the section: "How to use TradingView Custom Signals".
Finalize Alerts: Click Create, you're done! Alerts will now be sent automatically in the correct format.
🔷 INDICATOR SETTINGS
Period Channel 1: Period of highs and lows to trigger signals
Period Channel 2: Period of highs and lows to filter signals
Offset: Move Channel 2 to the right x bars to try to filter out the favorable signals.
Period Exit: It is the period of the Donchian channel that is used as trailing for the exits.
Strategy: Order Type direction in which trades are executed.
Take Profit %: When activated, the entered value will be used as the Take Profit in percentage from the entry price level.
Use Custom Test Period: When enabled signals only works in the selected time window. If disabled it will use all historical data available on the chart.
Test Start and End: Once the Custom Test Period is enabled, here you select the start and end date that you want to analyze.
Check Messages: Check Messages: Enable this option to review the messages that will be sent to the bot.
Entry | TP | SL: Enable this options to send Buy Entry, Take Profit (TP), and Stop Loss (SL) signals.
Deal Entry and Deal Exit: Copy and paste the message for the deal start signal and close order at Market Price of the DCA Bot. This is the message that will be sent with the alert to the Bot, you must verify that it is the same as the bot so that it can process properly.
DCA Bot Multi-Pair: You must activate it if you want to use the signals in a DCA Bot Multi-pair in the text box you must enter (using the correct format) the symbol in which you are creating the alert, you can check the format of each symbol when you create the bot.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
DC & William%R IndicatorWilliam %R and DC Combined indicator. It will show you short sell and Long buy indication on Tchart on all time frames
🐋Parabolic SAR (V1.0)This script provides an enhanced implementation of the Parabolic SAR (Stop and Reverse) indicator, a popular tool for identifying potential trend reversals in financial markets. The script incorporates additional features for improved usability and trading decision-making:
Key Features:
Customizable Parameters:
Initial Acceleration Factor: Start value for the SAR calculation.
Increment: Step value that increases the SAR during a trend.
Maximum Acceleration Factor: Cap for the SAR to prevent over-adjustment.
Buy & Sell Signals:
Buy Signal: Triggered when the price crosses above the SAR.
Sell Signal: Triggered when the price crosses below the SAR.
Signals are displayed as visually intuitive labels ("Buy" and "Sell") on the chart.
Alerts Integration:
Configurable alerts for buy and sell signals, allowing users to stay informed without actively monitoring the chart.
Dynamic Candle Coloring:
Candlesticks are dynamically colored based on the most recent signal:
Green: Buy signal (bullish trend).
Red: Sell signal (bearish trend).
Elegant SAR Plot:
The SAR is plotted as cross-style markers with a visually appealing magenta color.
How to Use:
Adjust the Initial Acceleration Factor, Increment, and Maximum Acceleration Factor in the input settings to match your trading style.
Enable alerts to receive notifications when buy or sell signals are generated.
Use the colored candlesticks as an additional confirmation tool to visualize market trends directly on the chart.
Raj-ADRraj adr
ADR for past 5 Days
Upper Range = Day Open + Absolute value of ((5 days ago High - 5 days ago Low + 4 days ago High - 4 days ago Low + 3 days ago High - 3 days ago Low + 2 days ago High - 2 days ago Low + 1 day ago High - 1 day ago Low)/5)/2
Lower Range = Day Open - Absolute value of ((5 days ago High - 5 days ago Low + 4 days ago High - 4 days ago Low + 3 days ago High - 3 days ago Low + 2 days ago High - 2 days ago Low + 1 day ago High - 1 day ago Low)/5)/2
Acceleration Bands HTF
This version gives you the ability to see the indicator from the HIGHER timeframes when you are on the timeframes. Please note that this is not the original formula, but a factored one that I found effective for identifying market trends. Thanks to @capissimo who provided the base open-code.
Acceleration Bands are designed to capture potential price breakouts or reversals in an asset. They are calculated based on a stock's price movements over a specified period, typically using the high, low, and closing prices. The idea is to identify moments when the price is accelerating (hence the name) beyond its normal range, which might indicate the beginning of a new trend.
Calculation
Acceleration Bands consist of three lines:
Upper Band (AB Upper): This is calculated by adding a certain percentage of the simple moving average (SMA) to the highest high over a given period.
Middle Band: This is typically the SMA of the stock's price.
Lower Band (AB Lower): This is calculated by subtracting the same percentage of the SMA from the lowest low over a given period.
Mathematically :
AB Upper = SMA + (Highest High * Percentage)
AB Lower = SMA - (Lowest Low * Percentage)
OR
Upper Band = SMA x (1 + (High - Low) / SMA)
Lower Band = SMA x (1 - (High - Low) / SMA)
Interpretation
The bands are used to identify periods when the price of a security is accelerating or decelerating:
Breakout Above Upper Band: This is usually considered a bullish signal, suggesting that the price is accelerating upwards and a new uptrend may be starting.
Breakdown Below Lower Band: This is usually considered a bearish signal, suggesting that the price is accelerating downwards and a new downtrend may be starting.
Reversal Between Bands: When the price re-enters the region between the bands after breaking out, it can be seen as a potential reversal signal.
Trading Strategy
Entry Signals:
Buy when the price breaks above the upper band.
Sell or short when the price breaks below the lower band.
Exit Signals:
Close a long position when the price falls back into the area between the bands.
Close a short position when the price rises back into the area between the bands.
Advantages
Helps capture early trends.
Can be used across various time frames and assets.
Provides clear entry and exit signals.
Order Block Finder//@version=5
indicator("Order Block Finder", overlay=true)
// Input settings
blockLookback = input(20, title="Lookback Period")
minBlockSize = input(5, title="Minimum Block Size (Pips)") * syminfo.mintick
maxBlockAge = input(50, title="Maximum Block Age (Bars)")
combineCloseBlocks = input(true, title="Combine Close Blocks")
topSwingHigh = ta.highest(high, blockLookback)
topSwingLow = ta.lowest(low, blockLookback)
// Identifying Order Blocks
bullishBlock = ta.crossover(close, topSwingLow)
bearishBlock = ta.crossunder(close, topSwingHigh)
var float blockHigh = na
var float blockLow = na
var int blockAge = 0
if bullishBlock
blockHigh := high
blockLow := low
blockAge := 0
if bearishBlock
blockHigh := high
blockLow := low
blockAge := 0
blockAge := blockAge + 1
validBlock = blockAge < maxBlockAge
// Display Order Blocks
blockColor = bullishBlock ? color.green : bearishBlock ? color.red : na
if validBlock and not na(blockHigh) and not na(blockLow)
bgColor = color.new(blockColor, 80)
box.new(left=bar_index, right=bar_index + maxBlockAge, top=blockHigh, bottom=blockLow, border_color=blockColor, bgcolor=bgColor)
// Display Block Information Label
if validBlock
label.new(x=bar_index, y=blockHigh, text="Order Block", color=blockColor, textcolor=color.white, style=label.style_label_down)
Auto Fib Retracement with Buy/SellKey Features of the Advanced Script:
Multi-Timeframe (MTF) Analysis:
We added an input for the higher timeframe (higher_tf), where the trend is checked on a higher timeframe to confirm the primary trend direction.
Complex Trend Detection:
The trend is determined not only by the current timeframe but also by the trend on the higher timeframe, giving a more comprehensive and reliable signal.
Dynamic Fibonacci Levels:
Fibonacci lines are plotted dynamically, extending them based on price movement, with the Fibonacci retracement drawn only when a trend is identified.
Background Color & Labels:
A background color is added to give a clear indication of the trend direction. Green for uptrend, red for downtrend. It makes it visually easier to understand the current market structure.
"Buy" or "Sell" labels are shown directly on the chart to mark possible entry points.
Strategy and Backtesting:
The script includes strategy commands (strategy.entry and strategy.exit), which allow for backtesting the strategy in TradingView.
Stop loss and take profit conditions are added (loss=100, profit=200), which can be adjusted according to your preferences.
Next Steps:
Test with different timeframes: Try changing the higher_tf to different timeframes (like "60" or "240") and see how it affects the trend detection.
Adjust Fibonacci settings: Modify how the Fibonacci levels are calculated or add more Fibonacci levels like 38.2%, 61.8%, etc.
Optimize Strategy Parameters: Fine-tune the entry/exit logic by adjusting stop loss, take profit, and other strategy parameters.
This should give you a robust foundation for creating advanced trend detection strategies
Session Boxes//@version=6
indicator("Session Boxes", overlay=true)
// Sessions Definitionen
tokyo_start = timestamp(year(time), month(time), dayofmonth(time), 0, 0)
tokyo_end = timestamp(year(time), month(time), dayofmonth(time), 9, 0)
london_start = timestamp(year(time), month(time), dayofmonth(time), 7, 0)
london_end = timestamp(year(time), month(time), dayofmonth(time), 16, 0)
newyork_start = timestamp(year(time), month(time), dayofmonth(time), 12, 0)
newyork_end = timestamp(year(time), month(time), dayofmonth(time), 21, 0)
// Farben (dezent)
color_tokyo = color.rgb(204, 204, 204, 50)
color_london = color.rgb(170, 170, 170, 50)
color_newyork = color.rgb(136, 136, 136, 50)
// Funktion zum Zeichnen der Session-Boxen
sessionBox(startTime, endTime, sessionColor) =>
var int startIndex = na
var int endIndex = na
var float sessionHigh = na
var float sessionLow = na
isSession = (time >= startTime and time <= endTime)
if isSession
if na(startIndex)
startIndex := bar_index
sessionHigh := high
sessionLow := low
endIndex := bar_index
sessionHigh := math.max(sessionHigh, high)
sessionLow := math.min(sessionLow, low)
if not na(startIndex) and not na(endIndex)
box.new(left=int(startIndex), right=int(endIndex), top=sessionHigh, bottom=sessionLow, bgcolor=sessionColor, border_color=sessionColor)
// Sessions auf dem Chart zeichnen
sessionBox(tokyo_start, tokyo_end, color_tokyo)
sessionBox(london_start, london_end, color_london)
sessionBox(newyork_start, newyork_end, color_newyork)
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.
BIST Hisse Tarama//@version=5
indicator("BIST Hisse Tarama", overlay=true)
// EMA 50 ve EMA 200
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
// RSI
rsi = ta.rsi(close, 14)
// MACD
= ta.macd(close, 12, 26, 9)
// Ichimoku Bulutu Hesaplamaları
tenkan_period = 9
kijun_period = 26
senkou_span_b_period = 52
chikou_shift = 26
tenkan_sen = (ta.highest(high, tenkan_period) + ta.lowest(low, tenkan_period)) / 2
kijun_sen = (ta.highest(high, kijun_period) + ta.lowest(low, kijun_period)) / 2
senkou_span_a = (tenkan_sen + kijun_sen) / 2
senkou_span_b = (ta.highest(high, senkou_span_b_period) + ta.lowest(low, senkou_span_b_period)) / 2
// Alim Sinyali Kosullari
buy_signal = (ema50 > ema200) and (rsi < 30) and (macdLine > signalLine) and (close > senkou_span_a) and (close > senkou_span_b)
// Alim Sinyali Durumunda Ekrana "BUY" Yazisi Ekleme
if (buy_signal)
label.new(bar_index, low, text="BUY", style=label.style_label_up, color=color.green, textcolor=color.white, size=size.small)
// Uyari Olusturma
alertcondition(buy_signal, title="Buy Signal", message="EMA 50 > EMA 200, RSI < 30, MACD > Signal Line, Price > Ichimoku Cloud")
OHLC & OLHC 2 Breakoutsndicator
This indicator detects OHLC and OLHC 2 Breakouts based on price action. It helps traders identify valid and invalid breakouts by marking them on the chart.
Features:
✅ Detects valid & invalid OHLC and OLHC 2 breakouts
✅ Plots signals for breakout confirmations
✅ Alerts for valid breakout opportunities
✅ Works on any timeframe, optimized for XAU/USD (Gold) 30m & 1H
How to Use:
1. Add this indicator to your TradingView chart.
2. Watch for green & blue signals (valid breakouts).
3. Use alerts to get notified of breakout opportunities.
4. Combine with other trading strategies for higher accuracy.
Recommended Markets: XAU/USD (Gold), Forex, Indices
Bollinger Bands StrategyBeginner strategy to know easy buy and sell strategy with no decent knowledge of levels
Irchesh Enhanced Momentum StrategyTrend Filter (EMA):
Dual EMA (50/200 periods) to identify the main trend
Long condition only when EMA 50 > EMA 200
Short condition only when EMA 50 < EMA 200
Momentum RSI with Divergences:
14-period RSI with customizable levels
Automatic detection of bullish/bearish divergences
Volume filter (1.5x the 20-period moving average)
Advanced Risk Management:
Fixed stop loss (1%) and take profit (2%)
Dynamic trailing stop (1.5%)
Option to disable the trailing stop
Additional Filters:
Price above/below fast EMA for confirmation
Volume above average to confirm strength
Recommended Optimization:
Test different EMA values (e.g., 21/50 instead of 50/200)
Adjust RSI parameters based on the timeframe
Experiment with different volume multipliers
Optimize stop loss/take profit levels
Important Notes:
The strategy works best in strongly trending markets
RSI divergences require volume confirmation
Use H1 or higher timeframes to reduce noise
Combine with fundamental analysis for better performance
PSAR with AO and RSIThis script is a Parabolic SAR-based trading strategy enhanced with Awesome Oscillator (AO) confirmation and sideways market detection using RSI. It generates Buy and Sell signals based on the following conditions:
EMA Crossover Strategy with S/R and Cross Exits v6Was macht diese Strategie?
Diese Strategie kombiniert bewährte technische Indikatoren mit einem robusten Risikomanagement, um klare Kauf- und Verkaufssignale in trendstarken Märkten zu generieren. Sie basiert auf dem Crossover von exponentiellen gleitenden Durchschnitten (EMA) in Kombination mit einem Trendfilter aus dem höheren Zeitrahmen und einem dynamischen Risikomanagement basierend auf der durchschnittlichen True Range (ATR).
Wie funktioniert die Strategie?
Kernsignale:
Kauf: Wenn der EMA5 (kurzfristig) von unten die EMA8 und EMA13 kreuzt.
Verkauf: Wenn der EMA5 von oben die EMA8 und EMA13 kreuzt.
Trendfilter:
Es wird nur gehandelt, wenn der Preis über dem 200-EMA aus dem 1-Stunden-Chart liegt (für Longs) oder darunter (für Shorts). Dies stellt sicher, dass Sie nur in Richtung des übergeordneten Trends handeln.
Risikomanagement:
Dynamischer Stop-Loss: Basierend auf der ATR (durchschnittliche True Range), um die Volatilität des Marktes zu berücksichtigen.
Take-Profit: Ein festgelegtes Risiko-Ertrags-Verhältnis von 1:2, um Gewinne zu sichern und Verluste zu begrenzen.
Positionsgröße: Die Positionsgröße wird basierend auf dem Kontostand und dem Risiko pro Trade angepasst, um das Risiko zu kontrollieren.
Zusätzliche Filter:
RSI-Filter: Es wird nur gekauft, wenn der RSI überverkauft ist (<30), und nur verkauft, wenn der RSI überkauft ist (>70).
Volumenfilter: Es wird nur gehandelt, wenn das aktuelle Volumen über dem Durchschnitt liegt, um sicherzustellen, dass genügend Liquidität vorhanden ist.
Warum diese Strategie?
Einfachheit: Klare Regeln und leicht verständliche Signale.
Anpassungsfähigkeit: Die Strategie passt sich der Marktvolatilität an (dank ATR-basiertem Stop-Loss).
Trendfolge: Durch den Trendfilter aus dem höheren Zeitrahmen werden nur Trades in Richtung des übergeordneten Trends ausgeführt.
Risikokontrolle: Dynamisches Risikomanagement sorgt dafür, dass Verluste begrenzt und Gewinne maximiert werden.
Erfolgschancen
Profitfaktor: Die Strategie zielt auf einen Profitfaktor von mindestens 1,5 ab, was bedeutet, dass die Gewinne die Verluste deutlich übersteigen.
Gewinnwahrscheinlichkeit: Durch die Kombination von Trendfiltern und RSI-Signalen wird die Wahrscheinlichkeit erfolgreicher Trades erhöht.
Backtest-Ergebnisse: In historischen Tests zeigt die Strategie konsistente Ergebnisse in trendstarken Märkten.
Risiken
Seitwärtsmärkte: In trendlosen oder choppigen Märkten kann die Strategie zu häufigen Fehlsignalen führen.
Volatilitätsspitzen: Extreme Marktbewegungen können zu unerwarteten Stop-Loss-Auslösungen führen.
Overfitting: Die Strategie wurde zwar optimiert, aber historische Performance ist keine Garantie für zukünftige Ergebnisse.
Emotionen: Disziplin ist erforderlich, um die Regeln strikt zu befolgen.
Für wen ist diese Strategie geeignet?
Einsteiger: Dank klarer Regeln und einfacher Signale ist die Strategie auch für weniger erfahrene Trader geeignet.
Erfahrene Trader: Die Anpassungsfähigkeit und das Risikomanagement bieten auch fortgeschrittenen Tradern eine solide Grundlage.
Langfristige Anleger: Die Strategie eignet sich für Trader, die auf mittel- bis langfristige Trends setzen möchten.
Warum jetzt buchen?
Sofortige Umsetzbarkeit: Die Strategie ist sofort einsatzbereit und kann in jedem Marktumfeld angewendet werden.
Persönliche Anpassung: Wir passen die Strategie an Ihre individuellen Risikopräferenzen und Handelsziele an.
Unterstützung: Sie erhalten eine detaillierte Anleitung und kontinuierlichen Support, um die Strategie erfolgreich umzusetzen.
Fazit
Diese Strategie bietet eine ausgewogene Mischung aus Einfachheit, Anpassungsfähigkeit und Risikokontrolle. Sie ist ideal für Trader, die eine systematische und regelbasierte Herangehensweise suchen, um in trendstarken Märkten konsistente Gewinne zu erzielen.
Buchen Sie jetzt und starten Sie Ihre Trading-Reise mit einer bewährten und optimierten Strategie! 🚀
ForexMasterStochastic//@version=5
indicator(title="ForexMasterStochastic", shorttitle="Stoch", format=format.price, precision=2, timeframe="", timeframe_gaps=true)
periodK = input.int(14, title="%K Length", minval=1)
smoothK = input.int(3, title="%K Smoothing", minval=1)
periodD = input.int(3, title="%D Smoothing", minval=1)
k = ta.sma(ta.stoch(close, high, low, periodK), smoothK)
d = ta.sma(k, periodD)
plot(k, title="%K", color=#2962FF)
plot(d, title="%D", color=#FF6D00)
h0 = hline(80, "Upper Band", color=#787B86)
hline(50, "Middle Band", color=color.new(#787B86, 50))
h1 = hline(20, "Lower Band", color=#787B86)
fill(h0, h1, color=color.rgb(33, 150, 243, 90), title="Background")
