GStrategy Sol 4hThis is a 4-hour chart strategy for cryptocurrency trading, combining RSI-based divergence signals and trend filters. The script identifies bullish and bearish divergences, and executes long and short entries based on RSI levels. It limits holding time per trade, controls risk with stop-loss and take-profit levels, and provides visual markers for entries and exits. The strategy is designed for intraday to swing trading, aiming for consistent small gains with minimal losses.
指標和策略
🔥Scalping Fusion Strategy v6🔥Scalping Fusion (v6)
✅ Overview:
This is a powerful intraday scalping strategy that combines two Super Trend systems:
Pivot Super Trend – uses dynamic pivot highs/lows and ATR-based bands.
Classic Super Trend – a traditional ATR-based trailing trend filter.
By combining both, the strategy ensures strong trend confirmation before taking trades.
⚙️ Core Logic:
Buy Entry:
Pivot Super Trend turns Bullish (Trend = 1)
Classic Super Trend also Bullish
Pivot Trend must have just changed from Bearish to Bullish
Sell Entry:
Pivot Super Trend turns Bearish (Trend = -1)
Classic Super Trend also Bearish
Pivot Trend must have just changed from Bullish to Bearish
🎯 Stop Loss / Take Profit:
Based on ATR (14):
Stop Loss = Entry ± 1.5 × ATR
Target = Entry ± 3.0 × ATR
This ensures dynamic SL/TP based on market volatility.
📈 Key Features:
Dual Super Trend Confirmation = Reduces false entries
ATR-based Stop Loss & Target = Adaptive to volatility
Pivot-based Trend Detection = Detects strong reversals
Buy/Sell labels + alerts for easy visual and automated trading
⏱️ Recommended Timeframe:
3-Minute or 5-Minute charts
Ideal for fast scalping and high-frequency trading sessions.
🧪 Backtest Suggestions:
Use during high volume hours (e.g., 9:15 AM – 2:30 PM)
Filter trades using volume or session-based logic
Consider adding maximum trades per day for better risk control
GStrategy with Long & Short WIF 1hThis is a 4-hour chart strategy for cryptocurrency trading, combining RSI-based divergence signals and trend filters. The script identifies bullish and bearish divergences, and executes long and short entries based on RSI levels. It limits holding time per trade, controls risk with stop-loss and take-profit levels, and provides visual markers for entries and exits. The strategy is designed for intraday to swing trading, aiming for consistent small gains with minimal losses.
GStrategy with Long & Short WIF 1hThis is a 4-hour chart strategy for cryptocurrency trading, combining RSI-based divergence signals and trend filters. The script identifies bullish and bearish divergences, and executes long and short entries based on RSI levels. It limits holding time per trade, controls risk with stop-loss and take-profit levels, and provides visual markers for entries and exits. The strategy is designed for intraday to swing trading, aiming for consistent small gains with minimal losses.
Strategy Builder Pro [ChartPrime]ChartPrime Strategy Creator Overview
The ChartPrime Strategy Builder offers traders an innovative, structured approach to building and testing strategies. The Strategy Creator allows users to combine, test, and automate complex strategies with many parameters.
Key Features of the ChartPrime Strategy Builder
1. Customizable Buy and Sell Conditions
The Strategy Creator provides flexibility in establishing entry and exit rules, with separate sections for long and short strategies. Traders can combine multiple conditions in each section to fine-tune when positions are opened or closed. For instance, they might choose to only buy when the indicator signals a buy and the Dynamic Reactor (a low lag filter) indicator shows a bullish trend. Users are able to pick, mix and match the following list of features:
Signal Mode: Select the type of assistive signals you are requiring. Provided are both trend following signals with self optimization using backtest results as well as reversal signals, aiming to provide real time tops and bottoms in markets. Both these signal modes can be fine tuned using the tuning input to refine signals to a trader's liking. ChartPrime Trend Signals leverage audio engineering inspired techniques and low-pass filters in order to achieve and attempt to produce lower lag response times and therefore are designed to have a uniqueness when compared to more classical trend following approaches.
The Dynamic Reactor: provides a simple band passing through the chart. This can provide assistance in support and resistance locations as well as identifying the trend direction expressed via green and red colors. Taking a moving average and applying unique adaptivity calculations gives this plot a unique and fast behavior.
Candlestick structures: analyze candlestick formation putting a spin on classical candlestick patterns and provide the most relevant formations on the chart. These are not classical and are filtered by further analyzing market activity. A trader's classic with a spin.
The Prime Trend Assistant: provides a trend following dynamic support and resistance level. This makes it perfect to use in confluence or as a filter for other supporting indicators. This is an adaptive trend following system designed to handle volatility leveraging filter kernels as opposed to low pass filters.
Money Flow: with further filters applied for early response to money flow changes in the market. This can be a great filter in trends.
Oscillator reversals: are built in leveraging an oscillator focusing on market momentum allowing users to enter based on market shifts and trends along with reversals.
Volume-Inspired Signals: determine overbought and oversold conditions, adding another layer of analysis to the oscillator. These appear as orange labels, providing a simple reading into a possible reversal.
The Volume Matrix: is a volume oscillator that shows whether money is flowing into or out of the market. Green suggests an uptrend with buyers in control, while red indicates a majority of sellers. By incorporating smoothed volume analysis, it distinguishes between bullish and bearish volumes, offering an early indication of potential trend reversals.
The True 7: is a middle-ranking system that evaluates the strength of a move and the overall trend, offering a numeric or visual representation of trend strength. It can also indicate when a trend is starting to reverse, providing leading signals for potential market shifts. Rather than using an oscillator, this offers the unique edge of falling into set categories, making understanding it simple. This can be a great confluence point when designing a strategy.
Take profits: These offer real-time suggestions from our algorithm on when it might be a good time to take profit. Using these as part of a strategy allows for great entries at bottoms and tops of trends.
Using features such as the Dynamic reactor have dual purposes. Traders can use this as both a filter and an entry condition. This allows for true interoperability when using the Strategy Builder. The above conditions are duplicated for short entries too allowing for symmetrical trading systems. By disabling all of the entry conditions on either long or short areas of the settings will create a strategy that only takes a single type of position. For example; a trader that just wants to take longs can disable all short options.
2. Layered Entries
Layered entries, a feature to enhance the uniqueness in the tool. It allows traders to average into positions as the market moves, rather than committing all capital at once. This feature is particularly useful for volatile markets where prices may fluctuate substantially. The Strategy Builder lets users adjust the number of layered entries, which can help in managing risk and optimizing entry points as well as the aggressiveness of the safety orders. With each safety order placed the system will automatically and dynamically scale into positions reducing the average entry price and hence dynamically adjust the potential take profits. Due to the potential complexities of exiting during multiple orders, a smart system is employed to automatically take profits on the layered system aiming to take profits at peaks of trends.
Users are able to override this smart TP system at the bottom of the settings instead targeting percentage profits for both short and long positions.
Entries lowering average buy price
The ability to adjust how quickly the system layers into positions can also be adjusted via the layered entries drop down between fast and slow mode where the slow mode will be more cautious when producing new orders.
3. Flexible Take Profit (TP) and Stop Loss (SL) Options
Traders can set their TP and SL levels according to various parameters, including ATR (Average True Range), risk-reward ratio, trailing stops, or specific price changes. If layered entries are active, an automatic TP method is applied by default, though traders can manually specify TP values if they prefer. This setup allows for precise control over trade exits, tailored to the strategy’s risk profile.
Provided options
The ability to use external take profits and stop losses is also provided. By loading an indicator of your choice the plots will be added to the chart. By navigating to the external sources area of the settings, users can select this plot and use it as part of a wider trading system.
Example: Let’s say a user has entries based on the inbuilt trend signals and wishes to exit whenever the RSI crosses above 70, they can add RSI to the chart, select crossing up and enter the value of 70.
4. Integrated Reinvestment for Compounding Gains
The reinvestment option allows traders to reinvest a portion of their gains into future trades, increasing trade size over time and benefiting from compounding. For example, a user might set 30% of each trade's profit to reinvest, with the remaining 70% allocated for risk management or additional safety orders. This approach can enhance long-term growth while balancing risk.
Generally in trading it can be a good approach to take profits so we suggest a healthy balance. This setting is generally best used for slow steady strategies with the long term aim of accumulating as much of the asset as possible.
5. Leverage and Position Sizing
Users can configure leverage and position sizing to simulate varying risk levels and capital allocations. A dashboard on the interface displays margin requirements based on the selected leverage, allowing traders to estimate trade sizes relative to their available capital. Whenever using leverage especially with layered entries it’s important to keep a close eye on the position sizes to avoid potential liquidations.
6. Pre-Configured Strategies for Immediate Testing
For users seeking a starting point, ChartPrime includes a range of preset strategies. These were developed and backtested by ChartPrime’s team. This allows traders to start with a stable base and adapt it to their own preferences. It is vital to understand that historical performance doesn't guarantee future success, and traders should be mindful of overfitting. These pre-built configurations offer a structured way and base to design strategies off of. These are also subject to changing results as new price action arrives and they become outdated. They serve the purpose of simply being example use cases.
7. In-Depth Specific Backtesting Ranges
The Strategy Builder includes backtesting capabilities, providing a clear view of how different setups would have performed over specified time periods. Traders can select date ranges to target specific market conditions, then review results on TradingView to see how their strategies perform across different market trends.
Example Use Case: Developing a Strategy
Consider a trader who is focused on long positions only and prefers a lower-risk strategy (note these tools can be used for all assets; we are using an undisclosed asset as an example). Using the Strategy Builder, they could:
- Disable short conditions.
- Set long entry rules to trigger when both the ChartPrime oscillator and Quantum Reactor indicators show bullish signals.
- Enable layered entries to improve average entry prices by adding to positions during market dips.
- Run a backtest over a two-year period to see historical performance trends, making adjustments as needed.
The backtest will show where entries and exits would have occurred and how layered entries may have impacted profitability.
8. Iterative design
Strategy builders and creating a strategy is often an iterative process. By experimenting and using logic; a trader can arrive at a more sustainable system. Analyzing the shortcomings of your strategy and iteratively designing and filtering them out is the goal. For example; let’s say a strategy has high drawdown, a user would want to tighten stop losses for example to reduce this and find a balance point between optimizing winning trades and reducing the drawdown. When designing a strategy there are generally tradeoffs and optimizing taking into consideration a wide range of factors is key. This also applies to filtering techniques, entries and exits and every variable in the strategy.
Let’s say a strategy was taking too many long positions in a downtrend and after you’ve analyzed the data, you come to the conclusion this needs to be solved. Filtering these using built in trend following tools can be a great approach and refining with logic is a great approach.
The Strategy Builder also takes into consideration those who seek to automate especially via reinvesting and leverage features.
Considerations
The ChartPrime Strategy Builder aims to help traders build clear, rule-based strategies without excessive complexity. As with all backtesting tools, it's crucial to understand that historical performance doesn't guarantee future success, and traders should be mindful of overfitting. This tool offers a structured way to test strategies against various market conditions, helping traders refine their approaches with data-driven insights. Traders should also ensure they enter the correct fees when designing strategies and ensure usage on standard candle types.
5M x20 Leverage Strategy - 30% TargetMaximum winning trades on 5m charts. The strategy is not working correctly at the moment but we are trying to improve it.
Trend TradersTrend Traders
The Gold Strategy which follows the Trend, uses the Trend following strategy with Adjustable Stoploss and Target
Trend Signals StrategyThis strategy is designed to follow the dominant market trend and only take trades in the direction of that trend. It uses two moving averages for trend detection and candlestick confirmation for entries. The strategy can be used on any timeframe but works best on 15m to 1H for intraday trading.
Trend TradersTrend Traders
The Gold Strategy which follows the Trend, uses the Trend following strategy with Adjustable Stoploss and Target
Trend Trading With Aishwar.K - 3D Shiny Gap with TextHello Traders
My Name is Aishwar K. From India +917709999464
working from last 4years for this Script and Finally we made it
The 3D gap you see indicates whether the price trend is Upside or Downside
You can do scalping on all major indexes of the world on 1 minute time frame
For Trading in XAUUSD { Gold } you will get best result on 45 seconds time frame on this script...
Whenever you get a buy or sell signal, you can place your stoploss below / above the 3D gap or at the recent low / recent high manually and when the price is moving in your direction you keep trailing your stoploss yourself manually, this way your stoploss will be smaller and target will increase
Trend TradersTrend Traders
The Gold Strategy which follows the Trend, uses the Trend following strategy with Adjustable Stoploss and Target
Futures Trading Strategy (Converted)此腳本是一個期貨交易策略，結合多項技術指標以生成交易訊號，並以嚴謹的風險管理控制進場部位。策略主要針對趨勢強弱與盤整的市場狀態進行判斷，藉此過濾假訊號，並透過連續訊號確認機制提高進出場決策的可靠性。
技術指標與參數說明
風險管理
使用者可調設定每次交易風險百分比（預設 1%），並利用 ATR（平均真實區間）作為市場波動的衡量依據，依據當前賬戶權益計算出合理的進場部位大小。
盤中波動與趨勢判斷
ATR 與 Volatility Factor：腳本先利用指定參數計算 ATR，進而與 50 期簡單移動平均比較，得出一個反映當前市場波動強弱的因子。
ADX 的自訂計算：透過計算正向與反向動向（plusDM 與 minusDM）及進行 RMA 平滑處理，最終生成 ADX 值，用以衡量市場趨勢強度。
HMA 及斜率：利用 Hull 移動平均（HMA）及其基於線性回歸的斜率變化，捕捉趨勢轉向的訊號。
VHF（縱橫比濾波器）：計算指定期數內價格的區間與價格變動的比率，協助辨識市場是否處於盤整狀態。
交易訊號生成與過濾
原始訊號：檢查價格與 HMA 的穿越狀態，當前一根 K 線由 HMA 下方穿越至上方則產生看多訊號，反之則看空。
Gap 訊號：藉由收盤價與 HMA 間差距的變化提出判斷，分析價格動能是否存在過熱或回調現象。
快速轉向訊號：利用 HMA 斜率由負轉正或由正轉負的急速變化，捕捉趨勢轉折。
Pivot 訊號：運用內建的 pivotlow 與 pivothigh 函式，確認轉折點。
為避免盤整時段產生誤判，當 VHF 低於設定水平且 ADX（經過波動率調整後的門檻）不足時，將進一步屏蔽交易訊號。
訊號確認機制
為降低過度交易與假訊號的風險，策略要求相同方向的信號需連續達到設定的確認棒數（confirmationBars）後，才視為最終的進場訊號。
下單與視覺化
當最終確認的多頭或空頭訊號出現，且倉位狀態允許，腳本即以計算出的合理單位尺寸發起對應方向的進場單。
同時，在圖表上繪製 HMA 曲線以及隱藏式計算的 ATR、ADX 與 VHF 指標，並以圖形標注方式分別展示買入與賣出訊號。
風險提示 本腳本僅供學習與策略回測參考，歷史效能並不代表未來表現。請根據自身風險承受能力審慎評估後使用，交易存在資金損失風險。
This script is a futures trading strategy that integrates multiple technical indicators to generate trade signals while employing rigorous risk management for position sizing. The strategy primarily evaluates market conditions based on trend strength and consolidation to filter out false signals and uses a consecutive signal confirmation mechanism to improve entry and exit decisions.
Technical Indicators and Parameter Details
Risk Management
The user can adjust the risk percentage per trade (defaulting to 1%).
The strategy uses the Average True Range (ATR) as a measure of market volatility to determine an appropriate trade size based on the current account equity.
Intraday Volatility and Trend Assessment
ATR and Volatility Factor: The script calculates the ATR using specified parameters and then compares it with a 50-period simple moving average (SMA) to derive a factor that reflects the current market volatility.
Custom ADX Calculation: By computing the positive and negative directional movements (plusDM and minusDM) and applying a smoothed RMA, the strategy generates the ADX to assess market trend strength.
HMA and Slope: The Hull Moving Average (HMA) is used along with its linear regression-based slope variation to capture potential trend reversals.
VHF (Vertical Horizontal Filter): The ratio of the price range over a specified period to the sum of price changes is calculated, assisting in identifying whether the market is in a state of consolidation.
Trading Signal Generation and Filtering
Raw Signal: Evaluates the crossover of price and HMA. A bullish signal is generated when the previous bar closes below the HMA and the current bar closes above the HMA; the converse applies for a bearish signal.
Gap Signal: Analyzes the difference between the closing price and the HMA, examining whether the momentum indicates an overheat or retracement in prices.
Rapid Reversal Signal: Detects sudden shifts in the HMA slope (from negative to positive or vice versa) to signal potential trend reversals.
Pivot Signal: Uses the built-in pivot low and pivot high functions to confirm turning points in the market.
To prevent false signals during consolidating periods, the strategy disables trading signals when the VHF is below the set threshold and the ADX (adjusted by the volatility factor) is insufficient.
Signal Confirmation Mechanism To reduce overtrading and false entries, the script requires that a signal in the same direction persists for a user-defined number of consecutive bars (confirmationBars) before it is considered a valid trading signal.
Order Execution and Visualization
When a confirmed bullish or bearish signal is detected and the current position status allows, the script places an entry order using the calculated position size based on risk management rules.
The HMA is plotted on the chart, and while ATR, ADX, and VHF calculations remain hidden, the script marks buy and sell signals graphically for easy visualization.
Risk Disclaimer This script is provided for educational and backtesting purposes only. Past performance is not indicative of future results. Please assess your risk tolerance and use the strategy with caution, as trading involves the risk of capital loss.
Klarw_s autobot v1.0This is a 4-hour chart SuperTrend strategy based on a proven trading method that achieved a 1000% return in just 3 days, and it can be integrated with automated trading bots.
Volatility Break + Trend Bias Scalper [Enhanced Visuals]Volatility Break + Trend Bias Scalper \
Overview
This strategy is designed to help traders catch high-probability breakout moves by combining real-time volatility surges with higher timeframe trend confirmation. It is particularly useful in markets like AAPL, BTC, NASDAQ, and Forex pairs where volatility and momentum often occur in bursts.
📈 Strategy Logic
🎯 1. Volatility Spike Detection
The core entry trigger is based on identifying sudden ATR-based volatility bursts:
* ATR(7) is compared to its EMA(14) smoothing.
* A volatility spike is confirmed when ATR exceeds `1.5x` the smoothed ATR.
This helps avoid entering during sideways price action and focuses only on explosive breakouts.
🧭 2. Higher Timeframe Trend Filter
To improve signal quality, the strategy checks the EMA(200) slope from a higher timeframe (e.g., 15min while trading on 3/5/45min charts):
* Bullish trend: EMA rising
* Bearish trend: EMA falling
This ensures we only trade in the direction of larger momentum.
🧠 3. Structure Break Entry
A simple but effective price action confirmation:
* Long: Close > highest close of the last 2 candles
* Short: Close < lowest close of the last 2 candles
This avoids "fake" moves and choppy zones.
🎛️ 4. Risk/Reward and Exit Logic
* Take Profit (TP) = 1.5× ATR (configurable)
* Stop Loss (SL) = 1.0× ATR (configurable)
* You can adjust this for more aggressive or conservative setups.
✅ All exits are calculated dynamically using the current ATR at trade entry.
🖥️ Visual Enhancements
This version includes:
✅ Signal markers (🔴 for Short, 🟢 for Long)
✅ Trend-colored background zones
✅ TP/SL lines drawn on chart
✅ Toggle options to enable/disable labels and TP/SL lines
These visuals help traders quickly validate signals, backtest more effectively, and share setups with clarity.
🧪 Backtest Settings
* Position Size: 1% of equity
* Commission: 0
* Slippage: Assumed minimal
* Recommended Markets: AAPL (45m), BTCUSD (5m–15m), NAS100 (15m), EUR/USD (5m)
> You can tune the strategy further using `PineScriptsAI`.
⚠️ Disclaimer
This strategy is for **educational purposes only**. It does **not constitute financial advice** or guarantees of profitability. Backtest results may vary across assets, timeframes, and market conditions.
Always validate with forward testing and sound risk management.
🔗 Built With Help From PineScriptsAI
Want to build your own version or add:
* Time filters (e.g., NY or London session)?
* Multi-take-profits or trailing stop?
* Auto alert bots to Telegram/Discord?
Supply/Demand Zones + Engulfment-based ExecutionSupply/Demand Zones + Engulfment-Based Execution
Strategy Overview
This strategy combines institutional trading concepts—supply/demand zones and engulfing candle patterns—to generate high-probability long and short trade setups. The system uses aggregated price action to identify potential reversal zones and confirms entries with engulfing candle patterns, ensuring trades are only taken when market structure shows commitment in the direction of the trade.
Core Concepts
• Supply & Demand Zones: These are automatically detected by analyzing aggregated bullish and bearish candle structures over user-defined intervals. Supply zones are formed after bearish continuation patterns; demand zones appear after bullish continuation patterns.
• Engulfing Entries: Once price enters a zone, the strategy waits for a bullish engulfing pattern (in a demand zone) or a bearish engulfing pattern (in a supply zone) before executing a trade. This adds confirmation and reduces false signals.
• Risk Management: Stop-loss is placed at the low (for long trades) or high (for short trades) of the engulfed candle. Take-profit can be calculated using a fixed R-multiple (risk-to-reward ratio) or a user-defined target price.
Key Features
Fully customizable aggregation factor for zone detection
Visual zone boxes, entry/SL/TP boxes, and engulfing pattern labels
Optional removal of mitigated zones for cleaner charting
Configurable trade mode (Long only, Short only, or Both)
Support for trading sessions and date filtering
Alerts for price entering supply or demand zones
How to Use
Select Aggregation Factor: Choose how many candles to group together for identifying key zones (e.g., 4x timeframe).
Enable Zones: Turn on supply and/or demand zones as needed.
Set Execution Parameters:
– Choose R-multiple (e.g., 2:1 risk-reward)
– Or use a fixed take-profit price
Define Trade Time Window:
– Set the date and time ranges to restrict execution
– Use Start Hour and End Hour to limit trades to specific sessions (e.g., London/New York)
Run on Desired Timeframe: Typically used on 15m–4H charts, depending on your strategy and the asset’s volatility.
Ideal For
• Traders using Smart Money Concepts (SMC)
• Those who value high-confluence entries
• Intraday to swing traders looking for structure-based automation
⚠️ Important Notes
• The strategy requires engulfing confirmation within the zone to enter a position.
• This script does not repaint and executes trades on a bar close basis.
• Backtest results may vary based on session filters and aggregation factor.
© Attribution
This strategy was developed by The_Forex_Steward and is licensed under the Mozilla Public License 2.0.
You are free to use, modify, and distribute it under the terms of that license.
3 EMA Trend Strategy (Locks Trailing Stop Tightening)3 EMA Trend Strategy (with Trailing Stop Tightening)
This open-source strategy uses three Exponential Moving Averages (7, 21, 35) to detect bullish alignment and trigger long entries during strong upward trends.
* Entry Logic:
A long trade is triggered when EMA 7 > EMA 21 > EMA 35. This alignment signals a confirmed uptrend.
* Exit Logic:
The strategy uses a trailing stop mechanism.
An initial stop (e.g., 10%) follows the high since entry.
Once profit reaches a customizable threshold (e.g., 20%), the trailing stop tightens (e.g., to 5%) to help lock in gains.
* Backtest Settings (default):
Starting capital: $10,000
Commission: 0.1%
Slippage: 1 tick
Position sizing: 100% of equity per trade (can be reduced to lower risk)
* Customization:
All trailing logic and EMA settings are configurable.
Designed for swing trading and adaptable for multiple timeframes.
⚠️ This is for educational purposes only. Always test on different symbols and timeframes before using in live environments.
RSI Trend RiderRSI Trend Rider is a long only, momentum-based trend-following strategy designed for rules based trading. It combines a setup of EMAs (20, 50, 200), RSI(4), ADX filtering, and a daily 120 EMA to capture high-probability long trades in trending markets.
Works best on intraday timeframes (2h, 4h)
Key Features:
Multi-timeframe trend confirmation (EMA alignment + daily EMA)
RSI(4) pullback entries in strong trends
ADX filter to avoid low-momentum conditions
Configurable fixed and EMA-based stop loss/target options
Built-in performance dashboard with key metrics like PnL, drawdown, win rate, and buy & hold comparison (can be turned off on mobile or small screens).
Customizable backtest period and risk settings
Ideal for traders looking for a simple, data-driven system that rides trends and compounds small, consistent wins.
Money Markers AI Signal botMoney Markers AI Platinum Signals is a premium algorithmic tool designed to assist traders in identifying high-probability trade opportunities across Forex, Commodities, and Cryptocurrencies.
This AI-enhanced bot utilizes multiple smart filters to deliver clean BUY and SELL alerts with visual trade levels, helping you act with confidence.
✅ Supports major Forex pairs, Gold, Oil & leading Cryptos
✅ Optimized for H1 and H4 timeframes
✅ Real-time alerts with SL/TP guidance
✅ Built for both swing & intraday traders
🔒 Source code is protected. Access is restricted to approved users only.
📩 To request access, send your TradingView username and registered email to:
📧 support@moneymarkers.net
⚠️ Use responsibly. This is not financial advice. Results may vary.
System 0530 - Stoch RSI Strategy with ATR filterStrategy Description: System 0530 - Multi-Timeframe Stochastic RSI with ATR Filter
Overview:
This strategy, "System 0530," is designed to identify trading opportunities by leveraging the Stochastic RSI indicator across two different timeframes: a shorter timeframe for initial signal triggers (assumed to be the chart's current timeframe, e.g., 5-minute) and a longer timeframe (15-minute) for signal confirmation. It incorporates an ATR (Average True Range) filter to help ensure trades are taken during periods of adequate market volatility and includes a cooldown mechanism to prevent rapid, successive signals in the same direction. Trade exits are primarily handled by reversing signals.
How It Works:
1. Signal Initiation (e.g., 5-Minute Timeframe):
Long Signal Wait: A potential long entry is considered when the 5-minute Stochastic RSI %K line crosses above its %D line, AND the %K value at the time of the cross is at or below a user-defined oversold level (default: 30).
Short Signal Wait: A potential short entry is considered when the 5-minute Stochastic RSI %K line crosses below its %D line, AND the %K value at the time of the cross is at or above a user-defined overbought level (default: 70). When these conditions are met, the strategy enters a "waiting state" for confirmation from the 15-minute timeframe.
2. Signal Confirmation (15-Minute Timeframe):
Once in a waiting state, the strategy looks for confirmation on the 15-minute Stochastic RSI within a user-defined number of 5-minute bars (wait_window_5min_bars, default: 5 bars).
Long Confirmation:
The 15-minute Stochastic RSI %K must be greater than or equal to its %D line.
The 15-minute Stochastic RSI %K value must be below a user-defined threshold (stoch_15min_long_entry_level, default: 40).
Short Confirmation:
The 15-minute Stochastic RSI %K must be less than or equal to its %D line.
The 15-minute Stochastic RSI %K value must be above a user-defined threshold (stoch_15min_short_entry_level, default: 60).
3. Filters:
ATR Volatility Filter: If enabled, trades are only confirmed if the current ATR value (converted to ticks) is above a user-defined minimum threshold (min_atr_value_ticks). This helps to avoid taking signals during periods of very low market volatility. If the ATR condition is not met, the strategy continues to wait for the condition to be met within the confirmation window, provided other conditions still hold.
Signal Cooldown Filter: If enabled, after a signal is generated, the strategy will wait for a minimum number of bars (min_bars_between_signals) before allowing another signal in the same direction. This aims to reduce overtrading.
4. Entry and Exit Logic:
Entry: A strategy.entry() order is placed when all trigger, confirmation, and filter conditions are met.
Exit: This strategy primarily uses reversing signals for exits. For example, if a long position is open, a confirmed short signal will close the long position and open a new short position. There are no explicit take profit or stop loss orders programmed into this version of the script.
Key User-Adjustable Parameters:
Stochastic RSI Parameters: RSI Length, Stochastic RSI Length, %K Smoothing, %D Smoothing.
Signal Trigger & Confirmation:
5-minute %K trigger levels for long and short.
15-minute %K confirmation thresholds for long and short.
Wait window (in 5-minute bars) for 15-minute confirmation.
Filters:
Enable/disable and configure the Signal Cooldown filter (minimum bars between signals).
Enable/disable and configure the ATR Volatility filter (ATR period, minimum ATR value in ticks).
Strategy Parameters:
Leverage Multiplier (Note: This primarily affects theoretical position sizing for backtesting calculations in TradingView and does not simulate actual leveraged trading risks).
Recommendations for Users:
Thorough Backtesting: Test this strategy extensively on historical data for the instruments and timeframes you intend to trade.
Parameter Optimization: Experiment with different parameter settings to find what works best for your trading style and chosen markets. The default values are starting points and may not be optimal for all conditions.
Understand the Logic: Ensure you understand how each component (Stochastic RSI on different timeframes, ATR filter, cooldown) interacts to generate signals.
Risk Management: Since this version does not include explicit stop-loss orders, ensure you have a clear risk management plan in place if trading this strategy live. You might consider manually adding stop-loss orders through your broker or using TradingView's separate strategy order settings for stop-loss if applicable.
Disclaimer:
This strategy description is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Trading involves significant risk of loss. Always do your own research and understand the risks before trading.
EMA Crossover Automated Trading
This strategy combines Exponential Moving Averages (EMA) and the Relative Strength Index (RSI) to make dynamic trading decisions. It provides an automated solution for entering long or short positions and closing trades based on EMA crossovers.
Big_RSI_EMA_FibStrategy Name: Big Candle + RSI + EMA + Fibonacci
This Pine Script strategy combines multiple indicators and price action logic to generate long and short trading signals. It includes:
🔧 Inputs
RSI Period – default: 14 (Relative Strength Index to identify overbought/oversold conditions).
EMA Period – default: 50 (Exponential Moving Average for trend confirmation).
Fibonacci Retracement – default: 0.618 (used to identify pullback zones after a big candle).
Minimum Body Size % – default: 1.5% (the minimum percentage of candle body relative to full range to qualify as a "big candle").
📈 Indicators Used
RSI: Filters overbought/oversold conditions.
EMA (50): Confirms trend direction.
Big Candle Detection: Candles with body size greater than a specified percentage of their full range.
Fibonacci Levels: A retracement level (default 61.8%) is calculated from the body of the big candle.
✅ Long Entry Conditions
Big bullish candle (close > open)
Body size greater than threshold
RSI is below 70
Price is above EMA(50)
❌ Short Entry Conditions
Big bearish candle (close < open)
Body size greater than threshold
RSI is above 30
Price is below EMA(50)
🎯 Strategy Actions
Enters long or short positions based on the above conditions.
On each entry, a horizontal line is drawn at the entry price (close) and extended forward for 3 bars to visually mark the trade level.
Green line for long entries.
Red line for short entries.
📐 Visual Elements
EMA line (orange)
Buy/Sell Labels: Up/down labels on the chart at entry points.
Fibonacci Level (purple): Retracement level based on the big candle.
Horizontal Trade Lines: Lines marking the entry price for quick visual tracking.
⏱️ Multi-Timeframe Data
Fetches high/low from:
5-minute chart
1-hour chart
(Prepared for potential additional filtering or breakout logic.)
NP 5min Quantitative StrategyWorking Strat that is meant to work on ES and GC. Its meant to work with EMA, I am currently testing this strat out and will update it if needed.
Breakout StrategyThis is my first script.
This strategy detects breakout opportunities based on trend, RSI, Bollinger Bands, and volume filters. A trade is only executed if a breakout is confirmed after signal setup.
Features:
✔️ RSI & BB filters to reduce noise
✔️ Volume spike confirmation (optional)
✔️ Trend filter using moving average
✔️ Stop loss and take profit in % terms
✔️ Ready-to-use alerts for automation
Adjustable Inputs:
- Stop Loss %
- Take Profit %
