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VWMA + SMA BBollinger + RSI Strategy (ChartArt) mod by BiO618This is a script I remade from the original ChartArt's "CA_RSI_Bolling_Strat". I added a VWMA following the SMA basis curve. BBand was made with the SMA curve, +2DS. The point of adding VWMA to the script is to get a fast correlation between price change and volume change. How to interpret it: Since 3-Intervals-VWMA = (P1*V1 + P2*V2 + P3*V3) / (V1+V2+V3) As the volume grows, VWMA get smaller. If the price goes to the upper band, and the VWMA follows it, Price grew more than Volume, and a correction would happen soon. If the price goes to the lower band, and the VWMA follows it, Price dipped with a lot of Volume, and a continuation of trend would be expected. If the price goes to the upper band, and the VWMA stays close to SMA, Price grew with a correspondient Volume, and the continuation of trend would be expected. If the price goes to the lower band, and the VWMA stays close to SMA, Price dipped with low Volume, a correction would happen soon. Remember that NO INDICATOR is flawless, support your interpretation with other indicators like RSI and MACD. Hope you enjoy it! φ!
Pine Script® stratejisi
BiO-618 tarafından
1
[Autoview][BackTest] Blank R0.13BThis is a fork of JustUncleL's Dual MA Ribbons R0.13 It is now a blank template for making new strategies / alerts for autoview The changes are as follows: Removed actual algo Establish functions for long Signal, long Close Signal and short Signal, short Close Signal to minimize the places code must be edited to update / replace algos Make allow Long and allow short and invert trade directions independent options Added support for alternate candle types Added autoset backtest period feature, and optional coloring Moved strategy calls in to functions so they can all be commented out or activated / disabled in a single block at the top of the script
Pine Script® stratejisi
yatrader2 tarafından
1
The Falcon v2 Long only strategy Using Stop loss and take profitHello, Here is a backtest result from the beginning of the year on BTC. The white line is the Buy & Hold return. Comission is set to 0.05% and there is no repainting : the price variable I'm using is heikenashi(tickerid). The indicator is built upon RSI, EMAs and some other personnal tricks so predict trends. I coded a stop loss and take profit system : the script will simply buy and sell upon conditions. As usual I am selling access to the script, If some are interested I will publish an alert setup version. I am also open to development or reverse engineering commissions.
Pine Script® stratejisi
cyatophilum tarafından
2
SB_Volume_oscillator_Prev_high_lowThe strategy is a take on traditional volume oscillator. In Layman terms: The script places an order when the oscillator crosses the zero mark in the volume oscillator. If the previous high is greater than the absolute value of previous low then a long order is placed And if the absolute previous low is greater than the previous high then a shrt order is placed. Last script (bandwidth focus on other monetary works. If you have any opportunities ping me) Message if you think of any modifications/ enhancements/ any opportunities. :) Donations/Tips... :) - BTC: 1BjswGcRR6c23pka7qh5t5k56j46cuyyy2 ETH: 0x64fed71c9d6c931639c7ba4671aeb6b05e6b3781 LTC: LKT2ykQ8QSzzfTDB6Tnsf12xwYPjgq95h4
Pine Script® stratejisi
SudeepBisht tarafından
SB_Elder Impulse SystemThe strategy is based on LazyBear's Elder Impulse System Strategy(in layman terms): Long: When the green bar in the Elder Impulse System's indicator shows up Short: When the red bar in the Elder Impulse System's indicator shows up Close trade/Profit booking: When the blue bar in the Elder Impulse System's indicator shows up Original Idea: Message in the script if you think of any modifications/ enhancements. Donations/Tips... :) - BTC: 1BjswGcRR6c23pka7qh5t5k56j46cuyyy2 ETH: 0x64fed71c9d6c931639c7ba4671aeb6b05e6b3781 LTC: LKT2ykQ8QSzzfTDB6Tnsf12xwYPjgq95h4
Pine Script® stratejisi
SudeepBisht tarafından
3
SB_CM_RSI_2_Strategy_Version 2.0(New: Profit booking present which is not present in the previous indicator) The strategy is based on the indicator posted by @ChrisMoody "CM RSI-2 Strategy Lower Indicator" which is based on "Larry Connors RSI-2 Strategy - Lower RSI" In this strategy, the longs are placed when a green color is encountered in the rsi in the previous candle and short when the red color is encountered in the rsi. Although the profits are booked when the rsi crossover the 10 level mark or crossunder the 90 level mark. Just message in the script if you have any different idea regarding this indicator. For the original indicator you can refer to : For Tips to continue :) - BTC: 1BjswGcRR6c23pka7qh5t5k56j46cuyyy2 ETH: 0x64fed71c9d6c931639c7ba4671aeb6b05e6b3781 LTC: LKT2ykQ8QSzzfTDB6Tnsf12xwYPjgq95h4
Pine Script® stratejisi
SudeepBisht tarafından
1
SB_CM_RSI_2_Strategy_Version 1.0The strategy is based on the indicator posted by @ChrisMoody "CM RSI-2 Strategy Lower Indicator" which is based on "Larry Connors RSI-2 Strategy - Lower RSI" In this strategy the longs are placed when a green color is encountered in the rsi and short when red color is encountered in the rsi. Although the profits can be booked at different interval. Just message in the script if you have any different idea regarding this indicator. For the original indicator you can refer to : For Tips to continue :) : BTC: 1BjswGcRR6c23pka7qh5t5k56j46cuyyy2 ETH: 0x64fed71c9d6c931639c7ba4671aeb6b05e6b3781 LTC: LKT2ykQ8QSzzfTDB6Tnsf12xwYPjgq95h4
Pine Script® stratejisi
SudeepBisht tarafından
Updated TurtlesThis script has been updated to prevent double orders (short/long) from occurring and modifying backtests results. This is an update to the script that was written a few years ago to prevent double longs/shorts from occurring and skewin backtesting results. Check out the updated indicator here and let me know what you think. I also added: - date range inputs if you want to do some backtesting on a particular set of dates. - the ability to toggle shorting
Pine Script® stratejisi
timchep tarafından
9
LFH/ Long positions using MACD histogram, long EMA and short EMADisclaimer: I'm a noob. Hey there! I'm trying to implement a script which enter market long position when long EMA crossover short EMA and MACD histogram is positive and histogram at T time is lesser than histogram at T-1. And when short EMA crossover long EMA, plus MACD histogram is negative and histogram at T is greater than histogram at T-1, I want the script to exit market long position. Now, I have something pretty close to what I am looking for. What I am missing and can't figure out yet is: How to moderate entries, ie. I would like it to enter positions when trends are really interesting not just every time the conditions are fulfilled (same for exits) as there is way too much positions I need to find a way to exit appropriated positions.
Pine Script® stratejisi
AdrienKiplingi tarafından
Understanding order sizestype: properties manipulation, no programming needed time required: 15minutes, at least level: medium (need to know contracts, trading pairs) A strategy can "appear" to work or be broken depending on the pile of cash that is working on. This amount is defined in the strat properties, under "order size". For noobs (like me) this is very confusing at first :) A strat opens/closes positions using units, a generic measure for the chart being operated on. Thes "units" can be a fixed amount of cash, a fixed amount of contracts, or a floating amount based on the last profits made. I recommend checking my previous strat to figure the case of contracts . So, any trading price is the amount of "things" you get for some "cash". The things are the first unit, the "cash" is the second. Some examples: XAU/USD - 1 xau oz is worth x dollars BTC/USD - 1 bitcoin is worth x dollars GBP/EUR - 1 pound is worth x euros To add to confusion, a lot of markets the "unit size" is different from what the strat thinks it is. An options contract is 100 shares(the unit), 1 xau contract is 10 oz(units), 1 eur/usd contract is 100k euros and so on... so, after figuring out how the sizes work in a strat, then the sizes must be adapted for the specific market in question. The choice os using the ETHUSD pair is because: 1 - you can buy 1eth, unlike a gold contract for example, so 1 "unit" = 1 eth, easier to get 2 - ETH is around 12 bucks, wich gives round numbers on the math, easier to wrap the brains around :) 3- is an unusual pair, so the regular contract sizes don't apply, and the brain is not conditioned to work inside the box ;) You will have to access the script properties, to change the values. As these values are changed you will see exactly the differences in the values of the strat. Text is too long, check the comments for all the cases
Pine Script® stratejisi
deimosaffair tarafından
7
BarUpDn time limitedtrying to understand strategies, it appears that there is a lot of black magic in how a strat works behind the scenes. anyway, it's hard to analyse what's all the data with one gazillion entries, and i wanted to know how we can manipulate/do stuff with a chart. so, i needed to know how to "give" the script my values to work on. bundled two wants/needs into one, and created a script that only applies a strategy from the date given onwards. how to use: at the chart, go to the "format" little button, then the input tab, and there is all the date fields i created. fun to set it to the current date, then start going backwards and see all the little arrows filing up the chart :)
Pine Script® stratejisi
deimosaffair tarafından
7
SPXL Futures Strategy- Buy/sell signals for SPXL using futures momentum. - For real-time signals at close, use ES1! on 2 minute chart and sign up for real-time cboe mini futures data feed in tradingview. - All buys and sells are at near close of US RTH market at 4pm. - Best to use the script with other breadth signals to decide on trading strategy. - Script is compatible with SPY, SPXL, RSP, QQQ, TQQQ and many other SPX correlated tickers, however it’s primarily developed for SPX.
Pine Script® stratejisi
timtr4d3 tarafından
23
Grid TLong V1The “Grid TLong V1” strategy is based on the classic Grid strategy, but in the mode of buying and selling in favor of the trend and only on Long. This allows to take advantage of large uptrend movements to maximize profits in bull markets. For this reason, excessively sideways or bearish markets may not be very conducive to this strategy. Like our Grid strategies in favor of the trend, you can enter and exit with the balance with controlled risk, as the distance between each grid functions as a natural and adaptable stop loss and take profit. What differentiates it from bidirectional strategies is that Short uses a minimum amount of follow-through, so that the percentage distance between the grids is maintained. In this version of the script the entries and exits can be chosen at market or limit , and are based on the profit or loss of the current position, not on the percentage change in price. The user may also notice that the strategy setup is risk-controlled, because it risks 5% on each trade, has a fairly standard commission and modest initial capital, all in order to protect the strategy user from unrealistic results. As with all strategies, it is strongly recommended to optimize the parameters for the strategy to be effective for each asset and for each time frame.
Pine Script® stratejisi
morzns tarafından
Grid Tendence V1The “Grid Tendence V1” strategy is based on the classic Grid strategy, only in this case the entries and exits are made in favor of the trend, which allows to take advantage of large movements to maximize profits, since it is also possible to enter and exit with the balance with a controlled risk, because precisely the distance between each Grid works as a natural and adaptable stop loss and take profit. This fact helps to avoid overlapping entries and exits that would result from using stop loss and take profit as limit orders. In this version of the script the entries and exits are always at market, and based on the percentage change of the price, not on the profit or loss of the current position. The user will notice that the strategy setup is based on a controlled risk, risking 5% on each trade, a fairly standard commission and a modest initial capital, all this in order to protect the user of the strategy from unexpected or unrealistic results. However, it is always recommended to optimize the parameters so that the strategy is effective for each asset and for each time frame.
Pine Script® stratejisi
morzns tarafından
Supertrend - SSL Strategy with Toggle [AlPashaTrader]📈 Overview of the Supertrend - SSL Strategy with Toggle Indicator This strategy combines two powerful technical tools—Supertrend and SSL Channel—to deliver precise and reliable trading signals, designed for traders who value confirmation and risk management. 🎯 ⚙️ How This Indicator Was Created The strategy was meticulously crafted to harness the complementary strengths of: Supertrend Indicator: A trend-following tool based on Average True Range (ATR) and a multiplier factor, it detects bullish or bearish trends by calculating dynamic support and resistance levels. 📊 SSL Channel: A channel indicator built using two Simple Moving Averages (SMA) of the highs and lows over a set period. It cleverly determines trend direction by comparing price action relative to these moving averages. 🔄 These two indicators are merged into one cohesive strategy with an optional toggle feature allowing the trader to choose whether to require confirmation from both indicators before taking a position or to act on signals from either. 🎚️ The script includes user-friendly controls for: Defining a custom trading date range 📅, useful for backtesting or restricting trading to specific market conditions. Setting the ATR length and multiplier for Supertrend sensitivity ⚙️. Adjusting the SSL channel period for responsiveness to price changes ⏱️. Choosing whether to require dual confirmation (both Supertrend and SSL signals) for more conservative trading or a single indicator trigger for a more aggressive approach 🛡️ vs ⚔️. 🔍 How This Indicator Works Signal Generation: Supertrend analyzes market volatility and trend direction, signaling a potential buy when the trend turns bullish 📈 and a sell when bearish 📉. SSL Channel tracks price relative to its high and low moving averages to identify uptrends and downtrends. A crossover of the SSL Up and SSL Down lines generates buy or sell signals 🔔. Confirmation Logic: When confirmation is enabled, the strategy waits for agreement between both indicators before entering a trade ✅, reducing false signals. When confirmation is disabled, it trades based on signals from either indicator ⚡, allowing more frequent entries but potentially higher risk. Entry and Exit Rules: Entry occurs when the indicator(s) signal a new trend direction 🚀 for long, or decline for short. Exit happens when opposing signals appear 🛑, closing existing positions to lock in profits or cut losses. Visual Aids: The SSL Channel lines are plotted directly on the chart with distinct colors to intuitively show trend shifts 🎨. The system respects the specified date range ⏳, ensuring trades only occur within user-defined periods. 🎯 How to Use This Strategy Effectively Set Your Preferences: Adjust ATR length, factor, and SSL period to your style. More sensitive? Decrease lengths. Smoother? Increase them ⚙️. Choose Confirmation Mode: Use the toggle depending on your risk appetite: Confirmation ON ✅: For conservative traders wanting high-probability setups. Confirmation OFF ⚡: For aggressive traders who want more signals. Apply Date Filters: Focus your trading or backtesting on specific periods 📅. Monitor Entry/Exit Signals: Watch crossovers and Supertrend changes closely 👀. Risk Management: The strategy uses position sizing as a percentage of equity (default 15%) 💰. Adjust accordingly. Combine with Other Tools: Enhance results by combining this with volume, price action, or fundamentals 🔧. 📝 Summary This Supertrend - SSL Strategy with Toggle is a dynamic and flexible trading tool blending volatility-based trend detection with moving-average channel insights. It empowers traders to customize confirmation strictness, control trading periods, and efficiently capture trending opportunities while managing risk smartly. By integrating proven indicators in a user-friendly, visually intuitive package, this strategy stands as a sophisticated tool suitable for various markets and trading styles. 🚀📊
Pine Script® stratejisi
LePasha tarafından
Breakout Core | by Solid#SignalsBreakout Core | by SolidSignals General Overview Breakout Core is an advanced breakout trading strategy designed for Bitcoin (BTC). Optimized for the unique market dynamics following the launch of BlackRock’s Spot ETFs in January 2024, it adapts to Bitcoin’s post-ETF volatility patterns. The strategy’s core strength lies in its low drawdown, achieved through a proprietary time-based signal-filtering algorithm that sets it apart from traditional breakout strategies. Breakout Core offers traders a reliable tool for navigating Bitcoin’s evolving market with reduced risk and enhanced precision. Mechanisms Breakout Core combines well-known indicators BB, EMAs, MAs with custom-tuned parameters to improve signal accuracy. Its unique feature is a proprietary time-filter algorithm that prioritizes high-probability breakout signals during specific high-volatility trading hours, derived from market analysis post-ETF launch. This algorithm minimizes false positives, particularly in volatile conditions, by integrating time-based volatility patterns with price action. The result is a robust strategy that optimizes entry and exit points for Bitcoin trading. Objectives Breakout Core aims to provide steady returns with controlled risk by targeting Bitcoin’s breakout patterns in the post-ETF market. Its low drawdown, achieved through extensive optimization and proprietary logic, makes it suitable for leverage trading (e.g., 3–5x leverage), balancing growth with capital protection. Tailored for BTC, the strategy equips traders with a precise tool to navigate Bitcoin’s transformed market dynamics. Backtesting and Parameter Notes Backtesting was performed using a $10,000 USDT account, risking up to 10% of equity per trade, including 0.06% commission fees and 2-tick slippage, aligned with standard exchange conditions. The strategy report details backtesting results from the launch of BlackRock’s Spot ETFs. These settings are the script’s defaults, ensuring transparency. Traders are encouraged to verify results using TradingView’s Deep Backtest feature to adapt to current market conditions. Please note: Past performance does not guarantee future results. Chart and Usage The chart is clean and intuitive, displaying only Breakout Core’s buy and sell signals for easy interpretation. Parameters are pre-optimized for immediate use, with adjustable Take Profit (TP) and Stop Loss (SL) levels. Traders should validate custom settings via TradingView’s backtesting tools to ensure market compatibility. An integrated Alarm Panel supports API connectivity, providing clear Entry/Exit commands for Long and Short positions, enabling seamless automated trading workflows. Originality Statement Breakout Core is an original strategy developed by SolidSignals, leveraging standard indicators (Bollinger Bands, EMAs, MAs) combined with a proprietary time-filter algorithm. No third-party or open-source code is used, ensuring full compliance with TradingView’s originality requirements. The time-filter mechanism, based on post-ETF volatility analysis, distinguishes this strategy from conventional breakout approaches. Important Disclaimer Market conditions evolve continuously, and past performance is not indicative of future results. Traders are responsible for validating the strategy’s settings and performance under current market conditions before use.
Pine Script® stratejisi
SOLIDSIGNALS tarafından
1
SMC Strategy BTC 1H - OB/FVGGeneral Context This strategy is based on Smart Money Concepts (SMC), in particular: The bullish Break of Structure (BOS), indicating a possible reversal or continuation of an upward trend. The detection of Order Blocks (OB): consolidation zones preceding the BOS where the "smart money" has likely accumulated positions. The detection of Fair Value Gaps (FVG), also called imbalance zones where the price has "jumped" a level, creating a disequilibrium between buyers and sellers. Strategy Mechanics Bullish Break of Structure (BOS) A bullish BOS is detected when the price breaks a previous swing high. A swing high is defined as a local peak higher than the previous 4 peaks. Order Block (OB) A bearish candle (close < open) just before a bullish BOS is identified as an OB. This OB is recorded with its high and low. An "active" OB zone is maintained for a certain number of bars (the zoneTimeout parameter). Fair Value Gap (FVG) A bullish FVG is detected if the high of the candle two bars ago is lower than the low of the current candle. This FVG zone is also recorded and remains active for zoneTimeout bars. Long Entry An entry is possible if the price returns into the active OB zone or FVG zone (depending on which parameters are enabled). Entry is only allowed if no position is currently open (strategy.position_size == 0). Risk Management The stop loss is placed below the OB low, with a buffer based on a multiple of the ATR (Average True Range), adjustable via the atrFactor parameter. The take profit is set according to an adjustable Risk/Reward ratio (rrRatio) relative to the stop loss to entry distance. Adjustable Parameters Enable/disable entries based on OB and/or FVG. ATR multiplier for stop loss. Risk/Reward ratio for take profit. Duration of OB and FVG zone activation. Visualization The script displays: BOS (Break of Structure) with a green label above the candles. OB zones (in orange) and FVG zones (in light blue). Entry signals (green triangle below the candle). Stop loss (red line) and take profit (green line). Strengths and Limitations Strengths: Based on solid Smart Money analysis concepts. OB and FVG zones are natural potential reversal areas. Adjustable parameters allow optimization for different market conditions. Dynamic risk management via ATR. Limitations: Only takes long positions. No trend filter (e.g., EMA), which may lead to false signals in sideways markets. Fixed zone duration may not fit all situations. No automatic optimization; testing with different parameters is necessary. Summary This strategy aims to capitalize on price retracements into key zones where "smart money" has acted (OB and FVG) just after a bullish Break of Structure (BOS) signal. It is simple, customizable, and can serve as a foundation for a more comprehensive strategy.
Pine Script® stratejisi
Boubizee tarafından
Bober XM v2.0# ₿ober XM v2.0 Trading Bot Documentation **Developer's Note**: While our previous Bot 1.3.1 was removed due to guideline violations, this setback only fueled our determination to create something even better. Rising from this challenge, Bober XM 2.0 emerges not just as an update, but as a complete reimagining with multi-timeframe analysis, enhanced filters, and superior adaptability. This adversity pushed us to innovate further and deliver a strategy that's smarter, more agile, and more powerful than ever before. Challenges create opportunity - welcome to Cryptobeat's finest work yet. ## !!!!You need to tune it for your own pair and timeframe and retune it periodicaly!!!!! ## Overview The ₿ober XM v2.0 is an advanced dual-channel trading bot with multi-timeframe analysis capabilities. It integrates multiple technical indicators, customizable risk management, and advanced order execution via webhook for automated trading. The bot's distinctive feature is its separate channel systems for long and short positions, allowing for asymmetric trade strategies that adapt to different market conditions across multiple timeframes. ### Key Features - **Multi-Timeframe Analysis**: Analyze price data across multiple timeframes simultaneously - **Dual Channel System**: Separate parameter sets for long and short positions - **Advanced Entry Filters**: RSI, Volatility, Volume, Bollinger Bands, and KEMAD filters - **Machine Learning Moving Average**: Adaptive prediction-based channels - **Multiple Entry Strategies**: Breakout, Pullback, and Mean Reversion modes - **Risk Management**: Customizable stop-loss, take-profit, and trailing stop settings - **Webhook Integration**: Compatible with external trading bots and platforms ### Strategy Components | Component | Description | |---------|-------------| | **Dual Channel Trading** | Uses either Keltner Channels or Machine Learning Moving Average (MLMA) with separate settings for long and short positions | | **MLMA Implementation** | Machine learning algorithm that predicts future price movements and creates adaptive bands | | **Pivot Point SuperTrend** | Trend identification and confirmation system based on pivot points | | **Three Entry Strategies** | Choose between Breakout, Pullback, or Mean Reversion approaches | | **Advanced Filter System** | Multiple customizable filters with multi-timeframe support to avoid false signals | | **Custom Exit Logic** | Exits based on OBV crossover of its moving average combined with pivot trend changes | ### Note for Novice Users This is a fully featured real trading bot and can be tweaked for any ticker — SOL is just an example. It follows this structure: 1. **Indicator** – gives the initial signal 2. **Entry strategy** – decides when to open a trade 3. **Exit strategy** – defines when to close it 4. **Trend confirmation** – ensures the trade follows the market direction 5. **Filters** – cuts out noise and avoids weak setups 6. **Risk management** – controls losses and protects your capital To tune it for a different pair, you'll need to start from scratch: 1. Select the timeframe (candle size) 2. Turn off all filters and trend entry/exit confirmations 3. Choose a channel type, channel source and entry strategy 4. Adjust risk parameters 5. Tune long and short settings for the channel 6. Fine-tune the Pivot Point Supertrend and Main Exit condition OBV This will generate a lot of signals and activity on the chart. Your next task is to find the right combination of filters and settings to reduce noise and tune it for profitability. ### Default Strategy values Default values are tuned for: Symbol BITGET:SOLUSDT.P 5min candle Filters are off by default: Try to play with it to understand how it works ## Configuration Guide ### General Settings | Setting | Description | Default Value | |---------|-------------|---------------| | **Long Positions** | Enable or disable long trades | Enabled | | **Short Positions** | Enable or disable short trades | Enabled | | **Risk/Reward Area** | Visual display of stop-loss and take-profit zones | Enabled | | **Long Entry Source** | Price data used for long entry signals | hl2 (High+Low/2) | | **Short Entry Source** | Price data used for short entry signals | hl2 (High+Low/2) | The bot allows you to trade long positions, short positions, or both simultaneously. Each direction has its own set of parameters, allowing for fine-tuned strategies that recognize the asymmetric nature of market movements. ### Multi-Timeframe Settings 1. **Enable Multi-Timeframe Analysis**: Toggle 'Enable Multi-Timeframe Analysis' in the Multi-Timeframe Settings section 2. **Configure Timeframes**: Set appropriate higher timeframes based on your trading style: - Timeframe 1: Default is now 15 minutes (intraday confirmation) - Timeframe 2: Default is 4 hours (trend direction) 3. **Select Sources per Indicator**: For each indicator (RSI, KEMAD, Volume, etc.), choose: - The desired timeframe (current, mtf1, or mtf2) - The appropriate price type (open, high, low, close, hl2, hlc3, ohlc4) ### Entry Strategies - **Breakout**: Enter when price breaks above/below the channel - **Pullback**: Enter when price pulls back to the channel - **Mean Reversion**: Enter when price is extended from the channel You can enable different strategies for long and short positions. ### Core Components ### Risk Management - **Position Size**: Control risk with percentage-based position sizing - **Stop Loss Options**: - Fixed: Set a specific price or percentage from entry - ATR-based: Dynamic stop-loss based on market volatility - Swing: Uses recent swing high/low points - **Take Profit**: Multiple targets with percentage allocation - **Trailing Stop**: Dynamic stop that follows price movement ## Advanced Usage Strategies ### Moving Average Type Selection Guide - **SMA**: More stable in choppy markets, good for higher timeframes - **EMA/WMA**: More responsive to recent price changes, better for entry signals - **VWMA**: Adds volume weighting for stronger trends, use with Volume filter - **HMA**: Balance between responsiveness and noise reduction, good for volatile markets ### Multi-Timeframe Strategy Approaches - **Trend Confirmation**: Use higher timeframe RSI (mtf2) for overall trend, current timeframe for entries - **Entry Precision**: Use KEMAD on current timeframe with volume filter on mtf1 - **False Signal Reduction**: Apply RSI filter on mtf1 with strict KEMAD settings ### Market Condition Optimization | Market Condition | Recommended Settings | |------------------|----------------------| | **Trending** | Use Breakout strategy with KEMAD filter on higher timeframe | | **Ranging** | Use Mean Reversion with strict RSI filter (mtf1) | | **Volatile** | Increase ATR multipliers, use HMA for moving averages | | **Low Volatility** | Decrease noise parameters, use pullback strategy | ## Webhook Integration The strategy features a professional webhook system that allows direct connectivity to your exchange or trading platform of choice through third-party services like 3commas, Alertatron, or Autoview. The webhook payload includes all necessary parameters for automated execution: - Entry price and direction - Stop loss and take profit levels - Position size - Custom identifier for webhook routing ## Performance Optimization Tips 1. **Start with Defaults**: Begin with the default settings for your timeframe before customizing 2. **Adjust One Component at a Time**: Make incremental changes and test the impact 3. **Match MA Types to Market Conditions**: Use appropriate moving average types based on the Market Condition Optimization table 4. **Timeframe Synergy**: Create logical relationships between timeframes (e.g., 5min chart with 15min and 4h higher timeframes) 5. **Periodic Retuning**: Markets evolve - regularly review and adjust parameters ## Common Setups ### Crypto Trend-Following - MLMA with EMA or HMA - Higher RSI thresholds (75/25) - KEMAD filter on mtf1 - Breakout entry strategy ### Stock Swing Trading - MLMA with SMA for stability - Volume filter with higher threshold - KEMAD with increased filter order - Pullback entry strategy ### Forex Scalping - MLMA with WMA and lower noise parameter - RSI filter on current timeframe - Use highest timeframe for trend direction only - Mean Reversion strategy ## Webhook Configuration - **Benefits**: - Automated trade execution without manual intervention - Immediate response to market conditions - Consistent execution of your strategy - **Implementation Notes**: - Requires proper webhook configuration on your exchange or platform - Test thoroughly with small position sizes before full deployment - Consider latency between signal generation and execution ### Backtesting Period Define a specific historical period to evaluate the bot's performance: | Setting | Description | Default Value | |---------|-------------|---------------| | **Start Date** | Beginning of backtest period | January 1, 2025 | | **End Date** | End of backtest period | December 31, 2026 | - **Best Practice**: Test across different market conditions (bull markets, bear markets, sideways markets) - **Limitation**: Past performance doesn't guarantee future results ## Entry and Exit Strategies ### Dual-Channel System A key innovation of the Bober XM is its dual-channel approach: - **Independent Parameters**: Each trade direction has its own channel settings - **Asymmetric Trading**: Recognizes that markets often behave differently in uptrends versus downtrends - **Optimized Performance**: Fine-tune settings for both bullish and bearish conditions This approach allows the bot to adapt to the natural asymmetry of markets, where uptrends often develop gradually while downtrends can be sharp and sudden. ### Channel Types #### 1. Keltner Channels Traditional volatility-based channels using EMA and ATR: | Setting | Long Default | Short Default | |---------|--------------|---------------| | **EMA Length** | 37 | 20 | | **ATR Length** | 13 | 17 | | **Multiplier** | 1.4 | 1.9 | | **Source** | low | high | - **Strengths**: - Reliable in trending markets - Less prone to whipsaws than Bollinger Bands - Clear visual representation of volatility - **Weaknesses**: - Can lag during rapid market changes - Less effective in choppy, non-trending markets #### 2. Machine Learning Moving Average (MLMA) Advanced predictive model using kernel regression (RBF kernel): | Setting | Description | Options | |---------|-------------|--------| | **Source MA** | Price data used for MA calculations | Any price source (low/high/close/etc.) | | **Moving Average Type** | Type of MA algorithm for calculations | SMA, EMA, WMA, VWMA, RMA, HMA | | **Trend Source** | Price data used for trend determination | Any price source (close default) | | **Window Size** | Historical window for MLMA calculations | 5+ (default: 16) | | **Forecast Length** | Number of bars to forecast ahead | 1+ (default: 3) | | **Noise Parameter** | Controls smoothness of prediction | 0.01+ (default: ~0.43) | | **Band Multiplier** | Multiplier for channel width | 0.1+ (default: 0.5-0.6) | - **Strengths**: - Predictive rather than reactive - Adapts quickly to changing market conditions - Better at identifying trend reversals early - **Weaknesses**: - More computationally intensive - Requires careful parameter tuning - Can be sensitive to input data quality ### Entry Strategies | Strategy | Description | Ideal Market Conditions | |----------|-------------|-------------------------| | **Breakout** | Enters when price breaks through channel bands, indicating strong momentum | High volatility, emerging trends | | **Pullback** | Enters when price retraces to the middle band after testing extremes | Established trends with regular pullbacks | | **Mean Reversion** | Enters at channel extremes, betting on a return to the mean | Range-bound or oscillating markets | #### Breakout Strategy (Default) - **Implementation**: Enters long when price crosses above the upper band, short when price crosses below the lower band - **Strengths**: Captures strong momentum moves, performs well in trending markets - **Weaknesses**: Can lead to late entries, higher risk of false breakouts - **Optimization Tips**: - Increase channel multiplier for fewer but more reliable signals - Combine with volume confirmation for better accuracy #### Pullback Strategy - **Implementation**: Enters long when price pulls back to middle band during uptrend, short during downtrend pullbacks - **Strengths**: Better entry prices, lower risk, higher probability setups - **Weaknesses**: Misses some strong moves, requires clear trend identification - **Optimization Tips**: - Use with trend filters to confirm overall direction - Adjust middle band calculation for market volatility #### Mean Reversion Strategy - **Implementation**: Enters long at lower band, short at upper band, expecting price to revert to the mean - **Strengths**: Excellent entry prices, works well in ranging markets - **Weaknesses**: Dangerous in strong trends, can lead to fighting the trend - **Optimization Tips**: - Implement strong trend filters to avoid counter-trend trades - Use smaller position sizes due to higher risk nature ### Confirmation Indicators #### Pivot Point SuperTrend Combines pivot points with ATR-based SuperTrend for trend confirmation: | Setting | Default Value | |---------|---------------| | **Pivot Period** | 25 | | **ATR Factor** | 2.2 | | **ATR Period** | 41 | - **Function**: Identifies significant market turning points and confirms trend direction - **Implementation**: Requires price to respect the SuperTrend line for trade confirmation #### Weighted Moving Average (WMA) Provides additional confirmation layer for entries: | Setting | Default Value | |---------|---------------| | **Period** | 15 | | **Source** | ohlc4 (average of Open, High, Low, Close) | - **Function**: Confirms trend direction and filters out low-quality signals - **Implementation**: Price must be above WMA for longs, below for shorts ### Exit Strategies #### On-Balance Volume (OBV) Based Exits Uses volume flow to identify potential reversals: | Setting | Default Value | |---------|---------------| | **Source** | ohlc4 | | **MA Type** | HMA (Options: SMA, EMA, WMA, RMA, VWMA, HMA) | | **Period** | 22 | - **Function**: Identifies divergences between price and volume to exit before reversals - **Implementation**: Exits when OBV crosses its moving average in the opposite direction - **Customizable MA Type**: Different MA types provide varying sensitivity to OBV changes: - **SMA**: Traditional simple average, equal weight to all periods - **EMA**: More weight to recent data, responds faster to price changes - **WMA**: Weighted by recency, smoother than EMA - **RMA**: Similar to EMA but smoother, reduces noise - **VWMA**: Factors in volume, helpful for OBV confirmation - **HMA**: Reduces lag while maintaining smoothness (default) #### ADX Exit Confirmation Uses Average Directional Index to confirm trend exhaustion: | Setting | Default Value | |---------|---------------| | **ADX Threshold** | 35 | | **ADX Smoothing** | 60 | | **DI Length** | 60 | - **Function**: Confirms trend weakness before exiting positions - **Implementation**: Requires ADX to drop below threshold or DI lines to cross ## Filter System ### RSI Filter - **Function**: Controls entries based on momentum conditions - **Parameters**: - Period: 15 (default) - Overbought level: 71 - Oversold level: 23 - Multi-timeframe support: Current, MTF1 (15min), or MTF2 (4h) - Customizable price source (open, high, low, close, hl2, hlc3, ohlc4) - **Implementation**: Blocks long entries when RSI > overbought, short entries when RSI < oversold ### Volatility Filter - **Function**: Prevents trading during excessive market volatility - **Parameters**: - Measure: ATR (Average True Range) - Period: Customizable (default varies by timeframe) - Threshold: Adjustable multiplier - Multi-timeframe support - Customizable price source - **Implementation**: Blocks trades when current volatility exceeds threshold × average volatility ### Volume Filter - **Function**: Ensures adequate market liquidity for trades - **Parameters**: - Threshold: 0.4× average (default) - Measurement period: 5 (default) - Moving average type: Customizable (HMA default) - Multi-timeframe support - Customizable price source - **Implementation**: Requires current volume to exceed threshold × average volume ### Bollinger Bands Filter - **Function**: Controls entries based on price relative to statistical boundaries - **Parameters**: - Period: Customizable - Standard deviation multiplier: Adjustable - Moving average type: Customizable - Multi-timeframe support - Customizable price source - **Implementation**: Can require price to be within bands or breaking out of bands depending on strategy ### KEMAD Filter (Kalman EMA Distance) - **Function**: Advanced trend confirmation using Kalman filter algorithm - **Parameters**: - Process Noise: 0.35 (controls smoothness) - Measurement Noise: 24 (controls reactivity) - Filter Order: 6 (higher = more smoothing) - ATR Length: 8 (for bandwidth calculation) - Upper Multiplier: 2.0 (for long signals) - Lower Multiplier: 2.7 (for short signals) - Multi-timeframe support - Customizable visual indicators - **Implementation**: Generates signals based on price position relative to Kalman-filtered EMA bands ## Risk Management System ### Position Sizing Automatically calculates position size based on account equity and risk parameters: | Setting | Default Value | |---------|---------------| | **Risk % of Equity** | 50% | - **Implementation**: - Position size = (Account equity × Risk %) ÷ (Entry price × Stop loss distance) - Adjusts automatically based on volatility and stop placement - **Best Practices**: - Start with lower risk percentages (1-2%) until strategy is proven - Consider reducing risk during high volatility periods ### Stop-Loss Methods Multiple stop-loss calculation methods with separate configurations for long and short positions: | Method | Description | Configuration | |--------|-------------|---------------| | **ATR-Based** | Dynamic stops based on volatility | ATR Period: 14, Multiplier: 2.0 | | **Percentage** | Fixed percentage from entry | Long: 1.5%, Short: 1.5% | | **PIP-Based** | Fixed currency unit distance | 10.0 pips | - **Implementation Notes**: - ATR-based stops adapt to changing market volatility - Percentage stops maintain consistent risk exposure - PIP-based stops provide precise control in stable markets ### Trailing Stops Locks in profits by adjusting stop-loss levels as price moves favorably: | Setting | Default Value | |---------|---------------| | **Stop-Loss %** | 1.5% | | **Activation Threshold** | 2.1% | | **Trailing Distance** | 1.4% | - **Implementation**: - Initial stop remains fixed until profit reaches activation threshold - Once activated, stop follows price at specified distance - Locks in profit while allowing room for normal price fluctuations ### Risk-Reward Parameters Defines the relationship between risk and potential reward: | Setting | Default Value | |---------|---------------| | **Risk-Reward Ratio** | 1.4 | | **Take Profit %** | 2.4% | | **Stop-Loss %** | 1.5% | - **Implementation**: - Take profit distance = Stop loss distance × Risk-reward ratio - Higher ratios require fewer winning trades for profitability - Lower ratios increase win rate but reduce average profit ### Filter Combinations The strategy allows for simultaneous application of multiple filters: - **Recommended Combinations**: - Trending markets: RSI + KEMAD filters - Ranging markets: Bollinger Bands + Volatility filters - All markets: Volume filter as minimum requirement - **Performance Impact**: - Each additional filter reduces the number of trades - Quality of remaining trades typically improves - Optimal combination depends on market conditions and timeframe ### Multi-Timeframe Filter Applications | Filter Type | Current Timeframe | MTF1 (15min) | MTF2 (4h) | |-------------|-------------------|-------------|------------| | RSI | Quick entries/exits | Intraday trend | Overall trend | | Volume | Immediate liquidity | Sustained support | Market participation | | Volatility | Entry timing | Short-term risk | Regime changes | | KEMAD | Precise signals | Trend confirmation | Major reversals | ## Visual Indicators and Chart Analysis The bot provides comprehensive visual feedback on the chart: - **Channel Bands**: Keltner or MLMA bands showing potential support/resistance - **Pivot SuperTrend**: Colored line showing trend direction and potential reversal points - **Entry/Exit Markers**: Annotations showing actual trade entries and exits - **Risk/Reward Zones**: Visual representation of stop-loss and take-profit levels These visual elements allow for: - Real-time strategy assessment - Post-trade analysis and optimization - Educational understanding of the strategy logic ## Implementation Guide ### TradingView Setup 1. Load the script in TradingView Pine Editor 2. Apply to your preferred chart and timeframe 3. Adjust parameters based on your trading preferences 4. Enable alerts for webhook integration ### Webhook Integration 1. Configure webhook URL in TradingView alerts 2. Set up receiving endpoint on your trading platform 3. Define message format matching the bot's output 4. Test with small position sizes before full deployment ### Optimization Process 1. Backtest across different market conditions 2. Identify parameter sensitivity through multiple tests 3. Focus on risk management parameters first 4. Fine-tune entry/exit conditions based on performance metrics 5. Validate with out-of-sample testing ## Performance Considerations ### Strengths - Adaptability to different market conditions through dual channels - Multiple layers of confirmation reducing false signals - Comprehensive risk management protecting capital - Machine learning integration for predictive edge ### Limitations - Complex parameter set requiring careful optimization - Potential over-optimization risk with so many variables - Computational intensity of MLMA calculations - Dependency on proper webhook configuration for execution ### Best Practices - Start with conservative risk settings (1-2% of equity) - Test thoroughly in demo environment before live trading - Monitor performance regularly and adjust parameters - Consider market regime changes when evaluating results ## Conclusion The ₿ober XM v2.0 represents a significant evolution in trading strategy design, combining traditional technical analysis with machine learning elements and multi-timeframe analysis. The core strength of this system lies in its adaptability and recognition of market asymmetry. ### Market Asymmetry and Adaptive Approach The strategy acknowledges a fundamental truth about markets: bullish and bearish phases behave differently and should be treated as distinct environments. The dual-channel system with separate parameters for long and short positions directly addresses this asymmetry, allowing for optimized performance regardless of market direction. ### Targeted Backtesting Philosophy It's counterproductive to run backtests over excessively long periods. Markets evolve continuously, and strategies that worked in previous market regimes may be ineffective in current conditions. Instead: - Test specific market phases separately (bull markets, bear markets, range-bound periods) - Regularly re-optimize parameters as market conditions change - Focus on recent performance with higher weight than historical results - Test across multiple timeframes to ensure robustness ### Multi-Timeframe Analysis as a Game-Changer The integration of multi-timeframe analysis fundamentally transforms the strategy's effectiveness: - **Increased Safety**: Higher timeframe confirmations reduce false signals and improve trade quality - **Context Awareness**: Decisions made with awareness of larger trends reduce adverse entries - **Adaptable Precision**: Apply strict filters on lower timeframes while maintaining awareness of broader conditions - **Reduced Noise**: Higher timeframe data naturally filters market noise that can trigger poor entries The ₿ober XM v2.0 provides traders with a framework that acknowledges market complexity while offering practical tools to navigate it. With proper setup, realistic expectations, and attention to changing market conditions, it delivers a sophisticated approach to systematic trading that can be continuously refined and optimized.
Pine Script® stratejisi
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