Lokesh(bank nifty option buying) MA Crossover with RSI use it directly in bank nifty option chart for 5 minute time frame specialy for put buying
Penunjuk dan strategi
RSI SMA Cross Strategy MKSBuys when the RSI crosses above its 14-day SMA.
Sells when the RSI crosses below its 14-day SMA.
Uses ₹100,000 as the starting capital, with remaining capital used for new trades.
5분봉 자동매매 전략 (최적화: 안정화)//@version=5
strategy("5분봉 자동매매 전략 (최적화: 안정화)", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
// === PARAMETERS ===
// RSI
rsiPeriod = input.int(14, title="RSI Period", minval=1)
overbought = input.float(70.0, title="RSI Overbought Level", step=0.1)
oversold = input.float(30.0, title="RSI Oversold Level", step=0.1)
// 이동평균선
smaShort = input.int(50, title="Short SMA Length", minval=1)
smaLong = input.int(200, title="Long SMA Length", minval=1)
// 거래량 필터
volumeThreshold = input.float(1.2, title="Volume Multiplier", step=0.1)
// 리스크 관리
takeProfit = input.float(3.0, title="Take Profit %", step=0.1)
stopLoss = input.float(1.0, title="Stop Loss %", step=0.1)
trailOffset = input.float(0.5, title="Trailing Stop Offset (Points)", step=0.1)
// === INDICATORS ===
rsiValue = ta.rsi(close, rsiPeriod)
smaShortValue = ta.sma(close, smaShort)
smaLongValue = ta.sma(close, smaLong)
= ta.macd(close, 12, 26, 9)
= ta.bb(close, 20, 2)
avgVolume = ta.sma(volume, 20)
// 상위 시간대 RSI 필터
higherRSI = request.security(syminfo.tickerid, "15", ta.rsi(close, rsiPeriod), lookahead=barmerge.lookahead_on)
// === LONG ENTRY CONDITION ===
longCondition = (rsiValue < oversold) and
(smaShortValue > smaLongValue) and
(macdLine > signalLine) and
(close <= lowerBB) and
(volume > avgVolume * volumeThreshold) and
(higherRSI < 50)
// === SHORT ENTRY CONDITION ===
shortCondition = (rsiValue > overbought) and
(smaShortValue < smaLongValue) and
(macdLine < signalLine) and
(close >= upperBB) and
(volume > avgVolume * volumeThreshold) and
(higherRSI > 50)
// === POSITIONS ===
if (longCondition and strategy.position_size == 0)
strategy.entry("Long", strategy.long)
strategy.exit("Long Exit", stop=strategy.position_avg_price * (1 - stopLoss / 100), limit=strategy.position_avg_price * (1 + takeProfit / 100), trail_points=trailOffset)
if (shortCondition and strategy.position_size == 0)
strategy.entry("Short", strategy.short)
strategy.exit("Short Exit", stop=strategy.position_avg_price * (1 + stopLoss / 100), limit=strategy.position_avg_price * (1 - takeProfit / 100), trail_points=trailOffset)
// === 손절 신호 표시 ===
var bool stopLongShown = false
var bool stopShortShown = false
if (strategy.position_size > 0 and close <= strategy.position_avg_price * (1 - stopLoss / 100) and not stopLongShown)
label.new(bar_index, close, text="STOP_LONG", color=color.red, style=label.style_label_down, textcolor=color.white)
stopLongShown := true
if (strategy.position_size < 0 and close >= strategy.position_avg_price * (1 + stopLoss / 100) and not stopShortShown)
label.new(bar_index, close, text="STOP_SHORT", color=color.red, style=label.style_label_up, textcolor=color.white)
stopShortShown := true
if (strategy.position_size == 0)
stopLongShown := false
stopShortShown := false
// === VISUAL INDICATORS ===
plot(smaShortValue, title="SMA 50", color=color.blue)
plot(smaLongValue, title="SMA 200", color=color.red)
plot(upperBB, title="Upper BB", color=color.green)
plot(lowerBB, title="Lower BB", color=color.red)
plot(rsiValue, title="RSI", color=color.purple)
plot(longCondition ? close : na, title="Long Signal", style=plot.style_cross, color=color.green, linewidth=2)
plot(shortCondition ? close : na, title="Short Signal", style=plot.style_cross, color=color.red, linewidth=2)
Multi-Signal + ICT Concepts (HTF/FVG/Killzone/BOS)-CONSERVATIVEThis was made my chatgpt and my knowledgeable prompts
HOD/LOD/PMH/PML/PDH/PDL Strategy by @tradingbauhaus This script is a trading strategy @tradingbauhaus designed to trade based on key price levels, such as the High of Day (HOD), Low of Day (LOD), Premarket High (PMH), Premarket Low (PML), Previous Day High (PDH), and Previous Day Low (PDL). Below, I’ll explain in detail what the script does:
Core Functionality of the Script:
Calculates Key Price Levels:
HOD (High of Day): The highest price of the current day.
LOD (Low of Day): The lowest price of the current day.
PMH (Premarket High): The highest price during the premarket session (before the market opens).
PML (Premarket Low): The lowest price during the premarket session.
PDH (Previous Day High): The highest price of the previous day.
PDL (Previous Day Low): The lowest price of the previous day.
Draws Horizontal Lines on the Chart:
Plots horizontal lines on the chart for each key level (HOD, LOD, PMH, PML, PDH, PDL) with specific colors for easy visual identification.
Defines Entry and Exit Rules:
Long Entry (Buy): If the price crosses above the PMH (Premarket High) or the PDH (Previous Day High).
Short Entry (Sell): If the price crosses below the PML (Premarket Low) or the PDL (Previous Day Low).
Long Exit: If the price reaches the HOD (High of Day) during a long position.
Short Exit: If the price reaches the LOD (Low of Day) during a short position.
How the Script Works Step by Step:
Calculates Key Levels:
Uses the request.security function to fetch the HOD and LOD of the current day, as well as the highs and lows of the previous day (PDH and PDL).
Calculates the PMH and PML during the premarket session (before 9:30 AM).
Plots Levels on the Chart:
Uses the plot function to draw horizontal lines on the chart representing the key levels (HOD, LOD, PMH, PML, PDH, PDL).
Each level has a specific color for easy identification:
HOD: White.
LOD: Purple.
PDH: Orange.
PDL: Blue.
PMH: Green.
PML: Red.
Defines Trading Rules:
Uses conditions with ta.crossover and ta.crossunder to detect when the price crosses key levels.
Long Entry: If the price crosses above the PMH or PDH, a long position (buy) is opened.
Short Entry: If the price crosses below the PML or PDL, a short position (sell) is opened.
Long Exit: If the price reaches the HOD during a long position, the position is closed.
Short Exit: If the price reaches the LOD during a short position, the position is closed.
Executes Orders Automatically:
Uses the strategy.entry and strategy.close functions to open and close positions automatically based on the defined rules.
Advantages of This Strategy:
Based on Key Levels: Uses important price levels that often act as support and resistance.
Easy to Visualize: Horizontal lines on the chart make it easy to identify levels.
Automated: Entries and exits are executed automatically based on the defined rules.
Limitations of This Strategy:
Dependent on Volatility: Works best in markets with significant price movements.
False Crosses: There may be false crosses that generate incorrect signals.
No Advanced Risk Management: Does not include dynamic stop-loss or take-profit mechanisms.
How to Improve the Strategy:
Add Stop-Loss and Take-Profit: To limit losses and lock in profits.
Filter Signals with Indicators: Use RSI, MACD, or other indicators to confirm signals.
Optimize Levels: Adjust key levels based on the asset’s behavior.
In summary, this script is a trading strategy that operates based on key price levels, such as HOD, LOD, PMH, PML, PDH, and PDL. It is useful for traders who want to trade based on significant support and resistance levels.
Multi-Signal + ICT Concepts (HTF/FVG/Killzone/BOS)-CONSERVATIVEThis was made my chatgpt and my knowledgeable prompts
Reversal Candlestick Strategy by @tradingbauhausReversal Candlestick Strategy by @tradingbauhaus
This strategy is designed to identify candlestick reversal patterns in the market, confirm them with a trend filter, and execute trades with dynamic risk management. Here’s a detailed explanation of how it works step by step:
1. Identify Candlestick Reversal Patterns
The strategy looks for specific candlestick patterns that indicate potential reversals in price direction. These patterns are divided into bullish (indicating a potential upward reversal) and bearish (indicating a potential downward reversal).
Bullish Patterns:
Hammer: A candle with a small body and a long lower shadow, appearing in a downtrend.
Inverted Hammer: A candle with a small body and a long upper shadow, appearing in a downtrend.
Bullish Engulfing: A two-candle pattern where the second candle (bullish) completely engulfs the body of the first candle (bearish).
Tweezer Bottom: Two candles with equal lows, where the first is bearish and the second is bullish.
Bearish Patterns:
Shooting Star: A candle with a small body and a long upper shadow, appearing in an uptrend.
Hanging Man: A candle with a small body and a long lower shadow, appearing in an uptrend.
Bearish Engulfing: A two-candle pattern where the second candle (bearish) completely engulfs the body of the first candle (bullish).
Tweezer Top: Two candles with equal highs, where the first is bullish and the second is bearish.
2. Apply Trend Filters
To ensure the patterns occur in the context of a strong trend, the strategy uses a trend filter based on the Stochastic RSI. This helps confirm whether the market is overbought or oversold, increasing the reliability of the signals.
Bullish Condition: The Stochastic RSI is above a threshold (e.g., 80), indicating the market is overbought and a reversal to the downside is likely.
Bearish Condition: The Stochastic RSI is below a threshold (e.g., 20), indicating the market is oversold and a reversal to the upside is likely.
3. Dynamic Risk Management
The strategy uses the Average True Range (ATR) to calculate dynamic stop loss and take profit levels. This ensures that the risk management adapts to the current market volatility.
Take Profit: Calculated as a multiple of the ATR (e.g., 1.5x) above the entry price for long trades or below the entry price for short trades.
Stop Loss: Calculated as a multiple of the ATR (e.g., 1.0x) below the entry price for long trades or above the entry price for short trades.
4. Execute Trades
The strategy executes trades based on the detected patterns and confirmed trend conditions.
Bullish Trades (Buy):
When a bullish pattern (e.g., Hammer, Bullish Engulfing) is detected and the trend filter confirms a potential upward reversal, the strategy enters a long position.
The trade is closed when the price reaches either the take profit or stop loss level.
Bearish Trades (Sell):
When a bearish pattern (e.g., Shooting Star, Bearish Engulfing) is detected and the trend filter confirms a potential downward reversal, the strategy enters a short position.
The trade is closed when the price reaches either the take profit or stop loss level.
5. Visualize Patterns on the Chart
The strategy adds labels to the chart to mark where the patterns are detected:
Green Labels: Bullish patterns (e.g., Hammer, Bullish Engulfing).
Red Labels: Bearish patterns (e.g., Shooting Star, Bearish Engulfing).
This helps traders visually identify the signals generated by the strategy.
6. Example Workflow
Market Condition: The market is in a downtrend, and the Stochastic RSI is below 20 (oversold).
Pattern Detection: A Hammer pattern is detected.
Trend Filter Confirmation: The Stochastic RSI confirms the market is oversold, increasing the likelihood of a reversal.
Trade Execution: The strategy enters a long position.
Risk Management: The trade is protected by a stop loss and take profit calculated using the ATR.
Exit: The trade is closed when the price reaches either the take profit or stop loss level.
Advantages of the Strategy
Reliable Patterns: Uses well-known candlestick patterns that are widely recognized in technical analysis.
Trend Confirmation: Adds a trend filter to reduce false signals and increase accuracy.
Dynamic Risk Management: Adapts to market volatility using the ATR for stop loss and take profit levels.
Visualization: Provides clear labels on the chart for easy identification of patterns.
Considerations
False Signals: Like any strategy, it may generate false signals in sideways or choppy markets.
Optimization: Parameters (e.g., ATR multipliers, RSI thresholds) should be optimized for specific assets and timeframes.
Backtesting: Always test the strategy on historical data before using it in live trading.
Conclusion
Reversal Candlestick Strategy by @tradingbauhaus is a systematic approach to trading reversals using candlestick patterns, trend filters, and dynamic risk management. It is designed to identify high-probability setups and manage risk effectively, making it a valuable tool for traders looking to capitalize on market reversals.
Custom Volatility StrategyThe TTM Squeeze Indicator is a popular technical analysis tool designed to identify periods of consolidation and potential breakout points in the market. It helps traders recognize when a market is "squeezing" into a narrow range and about to make a significant move, either up or down.
How the TTM Squeeze Works:
Volatility Component (Bollinger Bands and Keltner Channels):
The TTM Squeeze is based on the relationship between Bollinger Bands (BB) and Keltner Channels (KC).
A "squeeze" occurs when the Bollinger Bands contract and move inside the Keltner Channels, indicating low volatility.
When the Bollinger Bands expand beyond the Keltner Channels, it signals the end of the squeeze and a potential start of a trending move.
Momentum Component:
The indicator uses a histogram to show the direction and strength of momentum.
Positive bars on the histogram indicate bullish momentum, while negative bars indicate bearish momentum.
Dots on the Zero Line:
Red dots: The market is in a squeeze (low volatility).
Green dots: The squeeze is released (increased volatility).
EMA Crossover with RSI and DistanceEMA Crossover with RSI and Distance Strategy
This strategy combines Exponential Moving Averages (EMA) with Relative Strength Index (RSI) and distance-based conditions to generate buy, sell, and neutral signals. It is designed to help traders identify entry and exit points based on multiple technical indicators.
Key Components:
Exponential Moving Averages (EMA):
The strategy uses four EMAs: EMA 5, EMA 13, EMA 40, and EMA 55.
A buy signal (long) is triggered when EMA 5 crosses above EMA 13 and EMA 40 crosses above EMA 55.
A sell signal (short) is generated when EMA 55 crosses above EMA 40.
The distance between EMAs (5 and 13) is also important. If the current distance between EMA 5 and EMA 13 is smaller than the average distance over the last 5 candles, a neutral condition is triggered, preventing a signal even if all other conditions are met.
Relative Strength Index (RSI):
The 14-period RSI is used to determine market strength and direction.
The strategy requires RSI to be above 50 and greater than the average RSI (over the past 14 periods) for a buy signal.
If the RSI is above 60, a green signal is given, indicating a strong bullish condition, even if the EMA conditions are not fully met.
If the RSI is below 40, a red signal is given, indicating a strong bearish condition, regardless of the EMA crossover.
Distance Conditions:
The strategy calculates the distance between EMA 5 and EMA 13 on each candle and compares it to the average distance of the last 5 candles.
If the current distance between EMA 5 and EMA 13 is lower than the average of the last 5 candles, a neutral signal is triggered. This helps avoid entering a trade when the market is losing momentum.
Additionally, if the distance between EMA 40 and EMA 13 is greater than the previous distance, the previous signal is kept intact, ensuring that the trend is still strong enough for the signal to remain valid.
Signal Persistence:
Once a buy (green) or sell (red) signal is triggered, it remains intact as long as the price is closing above EMA 5 for long trades or below EMA 55 for short trades.
If the price moves below EMA 5 for long trades or above EMA 55 for short trades, the signal is recalculated based on the most recent conditions.
Signal Display:
Green Signals: Represent a strong buy signal and are shown below the candle when the RSI is above 60.
Red Signals: Represent a strong sell signal and are shown above the candle when the RSI is below 40.
Neutral Signals: Displayed when the conditions for entry are not met, specifically when the EMA distance condition is violated.
Long and Short Signals: Additional signals are shown based on the EMA crossovers and RSI conditions. These signals are plotted below the candle for long positions and above the candle for short positions.
Trade Logic:
Long Entry: Enter a long trade when EMA 5 crosses above EMA 13, EMA 40 crosses above EMA 55, and the RSI is above 50 and greater than the average RSI. Additionally, the current distance between EMA 5 and EMA 13 should be larger than the average distance of the last 5 candles.
Short Entry: Enter a short trade when EMA 55 crosses above EMA 40 and the RSI is below 40.
Neutral Condition: If the distance between EMA 5 and EMA 13 is smaller than the average distance over the last 5 candles, the strategy will not trigger a signal, even if other conditions are met.
VWAP RSI Strategy with Stop Loss and Fixed Buy Amountbuying in uptrend at the bottom band of vwap while rsi showing oversold. sellin hwhen price hits upper vwap band
My strategy**Overview:**
This TradingView strategy implements a simple moving average (SMA) crossover system to identify potential buy and sell opportunities. It operates directly on the chart as an overlay, making it easy to visualize the entry points for both long and short positions.
---
**How It Works:**
1. **Long Condition:**
- A **long entry** is triggered when the 14-period SMA crosses above the 28-period SMA.
- This condition indicates a potential bullish trend where prices are gaining upward momentum.
2. **Short Condition:**
- A **short entry** is triggered when the 14-period SMA crosses below the 28-period SMA.
- This condition indicates a potential bearish trend where prices are losing upward momentum.
---
**Key Features:**
- **Overlay:** The strategy is applied directly to the chart, making it easy to align with price action.
- **Dynamic Entries:** Entry points for both long and short positions are based on SMA crossovers.
- **Fill Orders on Standard OHLC:** Ensures trades are executed using standard OHLC data for accuracy.
---
**Usage:**
- This strategy is ideal for traders who prefer straightforward technical analysis methods.
- It can be applied to various asset classes such as stocks, forex, and cryptocurrencies.
---
**Disclaimer:**
- This strategy is for educational purposes and is not financial advice. Test thoroughly in a simulated environment before using it in live trading.
Smart DCA Invest FREEEnglish:
📊 Smart DCA Invest – Feature Overview
✅ A smart, automated DCA strategy with dynamic profit targets, optimized risk management, and flexible notification controls. Take your trading to the next level! 🚀📊
🕒 1. Time Interval Settings
• 📅 Start Date and Time: The strategy activates only after the specified start time.
• ⏳ End Date and Time: The strategy operates until the specified end time.
• 🔄 Auto Restart: After closing a position, the strategy can automatically restart.
💵 2. Investment Amounts
• 🟢 First Investment Amount: The amount invested when opening the first position.
• 🔄 Daily Investment Amount: The amount for repeated periodic purchases.
📊 3. Purchase Frequency
• ⏱ Interval Between Purchases: Defines the minimum candle interval between two purchases to avoid excessive position scaling.
🛡️ 4. Risk Management
• 📉 Loss Limit: If the price does not drop below a defined loss limit, the strategy stops buying to optimize the average entry price.
• 🎯 Take Profit: A predefined profit target percentage at which the position is closed.
📈 5. Dynamic Take Profit (TP) Settings
• ⏳ TP Increase Frequency: The time period (in days) for increasing the TP level.
• 📊 TP Increase Percentage: The percentage increase of the TP level at each interval.
• ⚙️ Enable Dynamic TP: The TP level increases dynamically based on the holding time.
• 🧠 Smart Invest (PRO): Accumulates missed purchases (above average entry or loss limit price) and invests them below the loss limit price.
🎨 6. Visual Elements
• 📏 Average Price Line: Displays the average price on the chart.
• 🛑 Stop Limit Line: Displays the stop-loss threshold.
• ✅ Take Profit Line: Displays the Take Profit level.
• 📊 Statistical Table: Detailed data is displayed at the end of the strategy.
⚙️ Functionality:
📲 Notification Settings
🛎️ Finandy Buy Signal (PRO)
• 📝 Custom JSON Template: For buy notifications.
• 🔔 Enable/Disable Buy Notifications: Control buy alerts.
📲 Finandy TP Refresh Signal (PRO)
• 📝 Custom JSON Template: For TP refresh notifications.
• 🔄 Enable/Disable TP Refresh Notifications: Control TP update alerts.
📈 Dynamic Take Profit Logic (PRO)
• 📊 TP Level Dynamics: The TP level dynamically increases over time.
• 🔔 Notifications: Alerts sent on TP changes.
• 🔄 Dynamic Variable Replacements:
• {{strategy.order.contracts}} → position size
• {{tp_price}} → Take Profit level value
🔔 Notification Logic (PRO)
• 🟢 Buy Notification: Sent when a position is opened.
• 🛎️ TP Refresh Notification: Sent when the TP level changes.
📦 Position Management Logic
• 📊 Manual Position Size Tracking: Continuously monitors position sizes.
• 💵 Current Invested Amount: Tracks the current invested value.
• 📈 Maximum Invested Amount: Records the highest invested value achieved by the strategy.
• 🕒 DCA Start Time: Marks the start time of the DCA mechanism.
🧠 Smart Invest Logic (PRO)
• 📊 Missed Purchase Accumulation: The strategy accumulates missed purchases.
• 🎯 Optimized Purchase Execution: Executes larger purchases at a favorable price point.
🎨 Visual Representation
• 📏 Average Price Line: Displayed in yellow to indicate the average price.
• 🛑 Stop Limit Line: Displayed in red to indicate the stop-loss level.
• ✅ Take Profit Line: Displayed in green to indicate the dynamically updated profit target.
📊 Statistical Table
• 📈 Average Price: Average entry price of the current position.
• 🛑 Stop Limit: Stop-loss threshold value.
• ✅ Take Profit: Profit target value.
• 📦 Position Size: Current position size.
• 📊 Total Number of Purchases: Total number of executed purchases.
• 💵 Maximum Invested Amount: The highest invested value recorded.
• ⏳ Longest DCA Period: The longest duration a DCA position remained open.
• 💼 Current Investment: Currently invested amount.
• 🔄 Multiplier: Purchase multiplier value.
• 📊 Dynamically Set TP %: The currently active Take Profit percentage.
🚀 Want Access to DCA Smart PRO? 🔑
You can find all the necessary information at the following links:
🌐 beacons.ai
🌐 dcasmart.net
🌐 whop.com
💬 Have more questions? Join our Discord server and ask your questions directly to the community or support team:
👉 Join Discord : discord.gg
Optimize your strategy with DCA Smart PRO and take your trading to the next level! 📈✨
Hungarian:
📊 Smart DCA Invest – Funkciók Leírása
✅ Egy intelligens, automatizált DCA stratégia dinamikus profitcélokkal, optimalizált kockázatkezeléssel és rugalmas értesítési lehetőségekkel. Emeld új szintre a befektetésed! 🚀📊
🕒 Időintervallum Beállítások
• 📅 Kezdési dátum és idő: A stratégia csak a meghatározott kezdési időpont után aktiválódik.
• ⏳ Befejezési dátum és idő: A stratégia a meghatározott időpontig működik.
• 🔄 Automatikus újraindítás: Pozíciózárás után a stratégia automatikusan újraindulhat.
💵 Befektetési Összegek
• 🟢 Első befektetési összeg: Az első pozíció nyitásakor befektetett összeg.
• 🔄 Napi vásárlási összeg: Ismételt periódusonkénti vásárlások összege.
📊 Vásárlási Gyakoriság
• ⏱ Intervallum két vásárlás között: Meghatározza a minimális gyertya intervallumot két vásárlás között, elkerülve a túl gyakori pozícióbővítéseket.
🛡️ Kockázatkezelés
• 📉 Loss Limit: Ha az ár nem csökken egy meghatározott veszteségi szint alá, a stratégia nem vásárol tovább, hogy hatékonyabban csökkentse az átlagárat.
• 🎯 Take Profit: Előre meghatározott profitcél százalékos értéke, amely elérésekor a pozíció lezárul.
📈 Dinamikus Take Profit (TP) Beállítások
• ⏳ TP növelési gyakoriság: A dinamikus TP növekedésének időszaka napokban.
• 📊 TP növekedés mértéke: A TP szint százalékos növekedése az intervallum végén.
• ⚙️ Dinamikus TP engedélyezése: A TP szint dinamikusan növekszik a tartási idő függvényében.
• 🧠 Smart Invest: Kihagyott vásárlások felhalmozása (átlagos bekerülési vagy „Loss limit” feletti árfolyamnál), amelyek a „Loss limit” árszint alatt befektetésre kerülnek.
🎨 Vizuális Elemek
• 📏 Átlagár vonal: Az átlagár megjelenítése a grafikonon.
• 🛑 Stop Limit vonal: A veszteségkorlátozási szint megjelenítése.
• ✅ Take Profit vonal: A Take Profit szint grafikai megjelenítése.
• 📊 Statisztikai táblázat megjelenítése: A stratégia végén részletes adatok jelennek meg egy táblázatban.
⚙️ Működés:
📲 Értesítési Beállítások
🛎️ Finandy Buy Signal (PRO)
• 📝 Egyedi JSON sablon: Vételi értesítésekhez.
• 🔔 Engedélyezés/Letiltás: A vételi értesítések vezérlése.
📲 Finandy TP Refresh Signal (PRO)
• 📝 Egyedi JSON sablon: TP szint frissítési értesítésekhez.
• 🔄 Engedélyezés/Letiltás: A TP frissítési értesítések vezérlése.
📈 Dinamikus Take Profit Logika (PRO)
• 📊 Dinamikusan növekvő TP szint: A TP szint idővel növekszik.
• 🔔 Értesítések: Értesítést küld a TP szint változásáról.
• 🔄 Dinamikus változócsere:
• {{strategy.order.contracts}} → Pozíció mérete
• {{tp_price}} → Take Profit szint értéke
🔔 Értesítési Logika (PRO)
• 🟢 Vételi értesítés: Pozíció nyitásakor értesítést küld.
• 🛎️ TP frissítési értesítés: A TP szint változásáról értesítést küld.
📦 Pozíciókezelés Logika
• 📊 Manuális pozícióméret nyomon követése: A stratégia folyamatosan követi a pozíciók méretét.
• 💵 Jelenlegi befektetett összeg: Az aktuálisan befektetett érték nyomon követése.
• 📈 Maximális befektetett összeg: A stratégia által elért legnagyobb befektetett érték.
• 🕒 DCA kezdési időpont: A DCA mechanizmus indulási időpontja.
🧠 Smart Invest Logika (PRO)
• 📊 Kihagyott vásárlások gyűjtése: A stratégia kihagyott vásárlásokat gyűjt össze.
• 🎯 Optimalizált vásárlások: Kedvező árfolyam esetén egyszerre hajt végre nagyobb összegű vásárlást.
🎨 Vizuális Megjelenítés
• 📏 Átlagár vonal: Sárga színnel jelzi az átlagárat.
• 🛑 Stop Limit vonal: Piros színnel jelzi a veszteségi korlátot.
• ✅ Take Profit vonal: Zöld színnel jelzi a dinamikusan frissülő profitcélt.
📊 Statisztikai Táblázat
• 📈 Átlagár: Az aktuális pozíció átlagos bekerülési ára.
• 🛑 Stop Limit: A veszteségkorlátozási szint értéke.
• ✅ Take Profit: A profitcél értéke.
• 📦 Pozícióméret: Az aktuális pozíció nagysága.
• 📊 Teljes vásárlásszám: Az összes végrehajtott vásárlás száma.
• 💵 Maximális befektetett összeg: A legnagyobb befektetett érték.
• ⏳ Leghosszabb DCA időszak: A leghosszabb időtartam, amíg egy DCA pozíció nyitva maradt.
• 💼 Aktuális befektetés: Az aktuálisan befektetett összeg.
• 🔄 Multiplikátor: Vásárlási szorzó érték.
• 📊 Dinamikusan beállított TP %: Az aktuálisan érvényes Take Profit százalékos értéke.
🚀 Szeretnél hozzáférést a DCA Smart PRO-hoz? 🔑
Az összes szükséges információt az alábbi linkeken találod:
🌐 beacons.ai
🌐 dcasmart.net
🌐 whop.com
💬 További kérdésed van?
Csatlakozz a Discord szerverünkhöz, és tedd fel kérdéseidet közvetlenül a közösségnek vagy a támogatói csapatnak:
👉 Csatlakozz Discordra: discord.gg
Optimalizáld stratégiádat a DCA Smart PRO-val, és emeld a kereskedésedet a következő szintre! 📈✨
Dynamic Pairs Trading Strategy[Kopottaja]Dynamic Pairs Trading Strategy
Key Features:
Spread Monitoring:
The strategy computes the spread between two assets (Primary Asset and Secondary Asset) and tracks its deviation from the mean using a Z-score.
Threshold-Based Entry and Exit:
Entry Signal:
A long position is initiated when the Z-score falls below the lower threshold (indicating the spread is unusually low).
A short position is initiated when the Z-score exceeds the upper threshold (indicating the spread is unusually high).
Exit Signal:
Positions are closed when the Z-score returns to a neutral range, as defined by the Exit Threshold.
Highly Effective with Finnish Asset Pairs:
This strategy is particularly effective for pairs like Nordea (NDA_FI) and Aktia (AKTIA) due to their historical correlation and similar market dynamics.
Customizable Parameters:
Users can adjust the Lookback Period, Entry Threshold, and Exit Threshold to suit different asset pairs or market conditions.
Visualizations:
The Z-score and threshold levels are plotted for clear real-time monitoring.
Recommended Asset Pairs: This strategy is flexible and can be applied to various correlated asset pairs. Examples include:
Nordea (NDA_FI) and Aktia (AKTIA):
Both are Finnish financial institutions with a high degree of correlation, making them an ideal pair for this strategy.
Fortum (FORTUM) and Neste (NESTE):
Two major players in the Finnish energy sector, exhibiting co-movement due to similar industry dynamics.
Kone (KNEBV) and Cargotec (CGCBV):
Industrial companies with shared exposure to global markets, providing opportunities for pairs trading.
How It Works:
Spread Calculation:
The spread between the two assets is calculated in real time (Primary Asset - Secondary Asset).
Z-Score Normalization:
The spread is standardized into a Z-score, measuring how far it deviates from its mean over a user-defined Lookback Period.
Trade Execution:
A long or short position is opened when the Z-score crosses the entry thresholds.
Positions are closed when the Z-score returns to a neutral range (within the Exit Threshold).
Why Use This Strategy?
This strategy is designed for market-neutral trading, allowing traders to profit from the mean-reverting tendencies of correlated assets while minimizing directional market risk. Its effectiveness is enhanced when applied to highly correlated asset pairs like Nordea and Aktia, or other similar pairs from the Finnish or global markets.
NCM - Buy Bottom, Sell Top - ContraianStock market theory suggests the top ways to make money in trading:
1. In trading, increase in probability of profit will increase overall profit
2. To profit, buy low, sell high (or vice versa)
3. When the market is selling, buy. When the market is buying, sell.
4. The trend is your friend
And, the script further evaluates:
5. How many waves does the asset make in a particular time frame, and the number bars of tops/bottoms in these waves
6. Within these wave intervals, how many tops are made when rising, and how many bottoms are made when falling
Each share behaves in a very unique way, and this script finds the shares which meet the above criteria. When conditions are met, this code has been backtested (in 1000+ tests) and found an accuracy in 85%+ trades. The script was also backtested to check what wave ratios, interval ratios were ideal
**🔍 Strategy Overview**
This trading strategy is a sophisticated approach designed to capitalize on market inefficiencies by identifying optimal entry and exit points. By blending contrarian principles with trend-following indicators, this strategy aims to maximize profitability while effectively managing risk. Ideal for traders seeking a balanced methodology that leverages both market sentiment and technical analysis, the strategy indicator offers a comprehensive framework for navigating diverse market conditions.
**📈 Key Features**
**Contrarian and Trend-Following Blend**
**1. Contrarian Approach**: Positions the trader to buy during market downturns and sell during upswings, capitalizing on periods when the majority may be acting counter to prevailing trends.
**2. Trend Confirmation**: Utilizes advanced technical indicators to ensure trades are aligned with strong and enduring market trends, enhancing the probability of successful outcomes.
Advanced Technical Indicators
**3. Exponential Moving Averages (EMAs)**: Employs multiple EMAs to assess and confirm the direction and strength of market trends.
**4. Average Directional Index (ADX)**: Measures the strength of a trend, ensuring that trades are taken only when market momentum is sufficient to support sustained movements.
**5. Comprehensive Risk Management**
**Dynamic Stop Losses**: Implements flexible user-input based stop loss mechanisms tailored to different market conditions, protecting capital from adverse price movements.
**Take Profit Targets**: Establishes predefined profit-taking levels to secure gains systematically.
**Time-Based Exits**: Incorporates exit strategies based on holding periods, ensuring that positions are closed after a specified duration to lock in profits and minimize exposure.
Enhanced Trade Execution
**Limit Orders Based on Full Candle Range**: Executes trades considering the entire price action within a candle, including wicks, ensuring that significant price movements are captured effectively.
User-Friendly Customization
Configurable Parameters: Allows traders to adjust key settings to align the strategy with their individual trading styles and risk tolerances.
Visual Aids: Provides clear visual markers on charts for easy monitoring and analysis of trade signals and performance metrics.
**✨ Benefits**
**1. Maximized Profit Potential**: By strategically buying low and selling high, the V 187 strategy seeks to optimize the risk-reward ratio, enhancing overall profitability.
**2. Robust Risk Mitigation**: Comprehensive exit strategies and dynamic stop losses work in tandem to protect against significant losses, ensuring capital preservation.
**3. Adaptability**: Designed to perform consistently across various market conditions, whether trending or ranging, making it a versatile tool for traders.
**4. Ease of Use**: Intuitive settings and clear visual indicators simplify the trading process, allowing both novice and experienced traders to implement the strategy effectively.
danix_hack_pro1**Title:**
SmartTrade Indicator - Precision Entry & Exit Signals
**Description:**
The **SmartTrade Indicator** is designed to provide traders with precise buy and sell signals based on advanced algorithms that combine trend analysis, volume dynamics, and momentum oscillators. This invite-only script is tailored for both intraday and swing traders who value accuracy and simplicity in their trading decisions.
### Key Features:
- **Dynamic Entry and Exit Signals:** Clear notifications for Long and Short positions.
- **Multi-Timeframe Optimization:** Works best on 1-hour and 2-hour charts.
- **Risk Management Integration:** Supports strategic stop-loss placement and sustainable equity risk (<5% per trade).
- **Customizable Settings:** Adjust parameters to suit your trading style.
### Instructions:
1. **Setup:** Contact the author for access to this invite-only script. Once approved, the indicator will appear in your TradingView chart tools.
2. **Usage:**
- Add the indicator to your desired chart.
- Watch for "Long" or "Short" signals to determine potential market entry points.
- Utilize your own stop-loss and take-profit levels for optimal risk management.
3. **Optimization:** For best results, use the indicator on 1-hour or 2-hour charts with a focus on trending markets.
4. **Disclaimer:** This indicator is a tool to assist in decision-making, not financial advice. Always conduct your own analysis before trading.
### Note:
This script combines unique proprietary calculations and does not replicate any open-source indicators. The signals are based on real-time data, making it a valuable addition to your trading arsenal.
Contact for access and see how the **SmartTrade Indicator** can enhance your trading performance!
Big Boss Gold trading signalThis is the trading script designed for trading pair, XAUUSD.
Profitable and backtested by around 10 years data.
It's not free for open-use but could monthly subscripted.
ClosedLineOnlyOnly shows closed price on line chart
You need to hide the current price in line chart
This is helpful for avoiding false breakouts , focusing on only the closed price which is similar to what happens in backtesting , and many other things
It helps traders reduce psychological stress from continuously monitoring price and maintain discipline by viewing the chart only with closed price.