Crypto-strategy — Indicatori e strategie

Parabolic RSI Strategy [ChartPrime × PineIndicators]This strategy combines the strengths of the Relative Strength Index (RSI) with a Parabolic SAR logic applied directly to RSI values. Full credit to ChartPrime for the original concept and indicator, licensed under the MPL 2.0. It provides clear momentum-based trade signals using an innovative method that tracks RSI trend reversals via a customized Parabolic SAR, enhancing traditional oscillator strategies with dynamic trend confirmation. How It Works The system overlays a Parabolic SAR on the RSI, detecting trend shifts in RSI itself rather than on price, offering early reversal insight with visual and algorithmic clarity. Core Components 1. RSI-Based Trend Detection Calculates RSI using a customizable length (default: 14). Uses upper and lower thresholds (default: 70/30) for overbought/oversold zones. 2. Parabolic SAR Applied to RSI A custom Parabolic SAR function tracks momentum within the RSI, not price. This allows the system to capture RSI trend reversals more responsively. Configurable SAR parameters: Start, Increment, and Maximum acceleration. 3. Signal Generation Long Entry: Triggered when the SAR flips below the RSI line. Short Entry: Triggered when the SAR flips above the RSI line. Optional RSI filter ensures that: Long entries only occur above a minimum RSI (e.g. 50). Short entries only occur below a maximum RSI. Built-in logic prevents new positions from being opened against trend without prior exit. Trade Modes & Controls Choose from: Long Only Short Only Long & Short Optional setting to reverse positions on opposite signal (instead of waiting for a flat close). Visual Features 1. RSI Plotting with Thresholds RSI is displayed in a dedicated pane with overbought/oversold fill zones. Custom horizontal lines mark threshold boundaries. 2. Parabolic SAR Overlay on RSI SAR dots color-coded for trend direction. Visible only when enabled by user input. 3. Entry & Exit Markers Diamonds: Mark entry points (above for shorts, below for longs). Crosses: Mark exit points. Strategy Strengths Provides early momentum reversal entries without relying on price candles. Combines oscillator and trend logic without repainting. Works well in both trending and mean-reverting markets. Easy to configure with fine-tuned filter options. Recommended Use Cases Intraday or swing traders who want to catch RSI-based reversals early. Traders seeking smoother signals than price-based Parabolic SAR entries. Users of RSI looking to reduce false positives via trend tracking. Customization Options RSI Length and Thresholds. SAR Start, Increment, and Maximum values. Trade Direction Mode (Long, Short, Both). Optional RSI filter and reverse-on-signal settings. SAR dot color customization. Conclusion The Parabolic RSI Strategy is an innovative, non-repainting momentum strategy that enhances RSI-based systems with trend-confirming logic using Parabolic SAR. By applying SAR logic to RSI values, this strategy offers early, visualized, and filtered entries and exits that adapt to market dynamics. Credit to ChartPrime for the original methodology, published under MPL-2.0.

Rally Base Drop SND Pivots Strategy [LuxAlgo X PineIndicators]This strategy is based on the Rally Base Drop (RBD) SND Pivots indicator developed by LuxAlgo. Full credit for the concept and original indicator goes to LuxAlgo. The Rally Base Drop SND Pivots Strategy is a non-repainting supply and demand trading system that detects pivot points based on Rally, Base, and Drop (RBD) candles. This strategy automatically identifies key market structure levels, allowing traders to: Identify pivot-based supply and demand (SND) zones. Use fixed criteria for trend continuation or reversals. Filter out market noise by requiring structured price formations. Enter trades based on breakouts of key SND pivot levels. How the Rally Base Drop SND Pivots Strategy Works 1. Pivot Point Detection Using RBD Candles The strategy follows a rigid market structure methodology, where pivots are detected only when: A Rally (R) consists of multiple consecutive bullish candles. A Drop (D) consists of multiple consecutive bearish candles. A Base (B) is identified as a transition between Rallies and Drops, acting as a pivot point. The pivot level is confirmed when the formation is complete. Unlike traditional fractal-based pivots, RBD Pivots enforce stricter structural rules, ensuring that each pivot: Has a well-defined bullish or bearish price movement. Reduces false signals caused by single-bar fluctuations. Provides clear supply and demand levels based on structured price movements. These pivot levels are drawn on the chart using color-coded boxes: Green zones represent bullish pivot levels (Rally Base formations). Red zones represent bearish pivot levels (Drop Base formations). Once a pivot is confirmed, the high or low of the base candle is used as the reference level for future trades. 2. Trade Entry Conditions The strategy allows traders to select from three trading modes: Long Only – Only takes long trades when bullish pivot breakouts occur. Short Only – Only takes short trades when bearish pivot breakouts occur. Long & Short – Trades in both directions based on pivot breakouts. Trade entry signals are triggered when price breaks through a confirmed pivot level: Long Entry: A bullish pivot level is formed. Price breaks above the bullish pivot level. The strategy enters a long position. Short Entry: A bearish pivot level is formed. Price breaks below the bearish pivot level. The strategy enters a short position. The strategy includes an optional mode to reverse long and short conditions, allowing traders to experiment with contrarian entries. 3. Exit Conditions Using ATR-Based Risk Management This strategy uses the Average True Range (ATR) to calculate dynamic stop-loss and take-profit levels: Stop-Loss (SL): Placed 1 ATR below entry for long trades and 1 ATR above entry for short trades. Take-Profit (TP): Set using a Risk-Reward Ratio (RR) multiplier (default = 6x ATR). When a trade is opened: The entry price is recorded. ATR is calculated at the time of entry to determine stop-loss and take-profit levels. Trades exit automatically when either SL or TP is reached. If reverse conditions mode is enabled, stop-loss and take-profit placements are flipped. Visualization & Dynamic Support/Resistance Levels 1. Pivot Boxes for Market Structure Each pivot is marked with a colored box: Green boxes indicate bullish demand zones. Red boxes indicate bearish supply zones. These boxes remain on the chart to act as dynamic support and resistance levels, helping traders identify key price reaction zones. 2. Horizontal Entry, Stop-Loss, and Take-Profit Lines When a trade is active, the strategy plots: White line → Entry price. Red line → Stop-loss level. Green line → Take-profit level. Labels display the exact entry, SL, and TP values, updating dynamically as price moves. Customization Options This strategy offers multiple adjustable settings to optimize performance for different market conditions: Trade Mode Selection → Choose between Long Only, Short Only, or Long & Short. Pivot Length → Defines the number of required Rally & Drop candles for a pivot. ATR Exit Multiplier → Adjusts stop-loss distance based on ATR. Risk-Reward Ratio (RR) → Modifies take-profit level relative to risk. Historical Lookback → Limits how far back pivot zones are displayed. Color Settings → Customize pivot box colors for bullish and bearish setups. Considerations & Limitations Pivot Breakouts Do Not Guarantee Reversals. Some pivot breaks may lead to continuation moves instead of trend reversals. Not Optimized for Low Volatility Conditions. This strategy works best in trending markets with strong momentum. ATR-Based Stop-Loss & Take-Profit May Require Optimization. Different assets may require different ATR multipliers and RR settings. Market Noise May Still Influence Pivots. While this method filters some noise, fake breakouts can still occur. Conclusion The Rally Base Drop SND Pivots Strategy is a non-repainting supply and demand system that combines: Pivot-based market structure analysis (using Rally, Base, and Drop candles). Breakout-based trade entries at confirmed SND levels. ATR-based dynamic risk management for stop-loss and take-profit calculation. This strategy helps traders: Identify high-probability supply and demand levels. Trade based on structured market pivots. Use a systematic approach to price action analysis. Automatically manage risk with ATR-based exits. The strict pivot detection rules and built-in breakout validation make this strategy ideal for traders looking to: Trade based on market structure. Use defined support & resistance levels. Reduce noise compared to traditional fractals. Implement a structured supply & demand trading model. This strategy is fully customizable, allowing traders to adjust parameters to fit their market and trading style. Full credit for the original concept and indicator goes to LuxAlgo.

Fast v Slow Moving Averages Strategy (Variable) [divonn1994]This is a simple moving average based strategy that takes 2 moving averages, a Fast and a Slow one, plots them both, and then decides to enter a 'long' position or exit it based on whether the two lines have crossed each other. It goes 'long when the Fast Moving Average crosses above the Slow Moving Average. This could indicate upwards momentum in prices in the future. It then exits the position when the the Fast Moving Average crosses back below. This could indicate downwards momentum in prices in the future. This is only speculative, though, but sometimes it can be a very good indicator/strategy to predict future action. I've tried some strategy settings and I found different promising strategies. Here are a few: BTCUSD ( BitStamp ) 1 Day Timeframe : EMA, Fast length 25 bars, Slow length 62 bars => 28,792x net profit (default) BTCUSD ( BitStamp ) 1 Day Timeframe : VWMA, Fast length 21 bars, Slow length 60 bars => 15,603x net profit BTCUSD ( BitStamp ) 1 Day Timeframe : SMA, Fast length 18 bars, Slow length 51 bars => 19,507x net profit BTCUSD ( BitStamp ) 1 Day Timeframe : RMA, Fast length 20 bars, Slow length 52 bars => 5,729x net profit BTCUSD ( BitStamp ) 1 Day Timeframe : WMA, Fast length 29 bars, Slow length 60 bars => 19,869x net profit Features: -You can choose your preferred moving average: SMA , EMA , WMA , RMA & VWMA . -You can change the length average for each moving average -I made the background color Green when you're currently in a long position and Red when not. I made it so you can see when you'd be actively in a trade or not. The Red and Green background colors can be toggled on/off in order to see other indicators more clearly overlayed in the chart, or if you prefer a cleaner look on your charts. -I also have a plot of the Fast moving average and Slow moving average together. The Opening moving average is Purple, the Closing moving average is White. White on top is a sign of a potential upswing and purple on top is a sign of a potential downswing. I've made this also able to be toggled on/off. Let me know if you think I should change anything with my script, I'm always open to constructive criticism so feel free to comment below :)

Scalping The Bull - Two EMA Strategy Name: Scalping The Bull - Two EMA "Gianno-Nano" Strategy from the Meeting Category: Trend Follower Operating mode: Spot or Future, only long or swing trading Trades duration: Multiday Timeframe: 4H Suggested usage: Mid-term trading, when the market is in trend and it is showing high volatility. Entry: When fast EMA crosses over slow EMA. Exit: When fast EMA crosses under slow EMA then Exit Long or Entry Short (for reversal strategy). Usage: ⁃ It can be useful to use alerts or web-hooks to automate this strategy. ⁃ This is a raw system that can be improved in different ways (e.g. Stop-loss, take-profit, position sizing) or studying more the behaviour of the coin. Configuration: - N/A Backtesting ⁃ Exchange: BINANCE ⁃ Pair: NEOUSDT ⁃ Timeframe: 4H ⁃ Fee 0.075% ⁃ Slippage 0 - Start : 2017-12-03 How you or we can improve? Source code is open so share your ideas!

ms hypersupertrend This is a well-known strategy by using 3 different Supertrends and a trend-defining EMA, feel free to play around with the settings, a backtest on 8h ETHUSDT pair brought some good results using the 233EMA and investing 75% of a 10k start capital the idea is to have at least 2 super trends going green above the trend-EMA to go long and exit by turning 2 super trends red (idea: 1 super trend in red could initialize a take profit) shorts work vice versa The EMA shows in green for uptrends and in red for downtrends, if it is blue no Signal will be taken because the 3 super trends are not all above or below the trendline(EMA) //------------------------------------------------------------------------------------------------------------------------------------------------- Update 1: - Fixed a minor input error - Added ATR stoploss, and commented out the percentage stop loss - Added time window to backtest - Added exit on risk/reward is met - This version is only buy...wait for next update adding shorts and more As always, thanks for your ideas, likes, and support. Feel free to mess around with the settings and give me your feedback.

Contrarian Scalping Counter Trend Bb Envelope Adx and Stochastic Contrarian Scalping is an trading strategy designed to take advanted of a counter-trend. The advantage of these strrategies types is that they have a good profitability but with do not great gain (in relation at the time frame). Indicators used: Bollinger Envelope ADX Stochastic Rules for entry For short: close of the price is above upper band from bb and envelope, adx is below 30 and stochastic is above 50 For long: close of the price is below lower band from bb and envelope, adx is below 30 and stochastic is below 50 Rules for exit For short: either close of the candle is below lower band of bb or enveloper or stochastic is below 50 For long: either close o the candle is above upper band of bb or envelope or stochastic is above 50 If there are any questions let me know !

BEST Supertrend Strategy Hello traders Sharing a sample Supertrend strategy to illustrate how to calculate a convergence and using it in a strategy I based the setup as follow: - Entries on Supertrend MTF breakout + moving average cross. Entering whenever there is a convergence - exit whenever a Simple Moving Averages cross in the opposite direction happen - possibility to filter only Longs/Shorts or both All the best Dave

REAL STRATEGY : Dow_Factor_MFI/RSI_DVOG_Strategy I'm actually one of those who think it's more important to extract clues from indicators than strategy, but I wanted to test the data about the probability and dow factor I've shared for a long time. Usually, Bitcoin is used as an eye stain for strategy success, since the graph has increased significantly from the beginning. To prevent this, I used a commission and in the last lines of document I shared Bitmex's Bitcoin and Ethereum 1W test results. I don't think there's a factor to repaint. ( Warn me if u see or observe ) I considered Bitcoin because I found working with liquid parities much more realistic. Ethereum and Bitmex have been featured as a spot and may soon find a place at the CME , so I've evaluated the Ethereum . But since the Ethereum Bitmex was also spot new, I deleted results that were less than 10 closed trades. Since the Dow Theory also looks at the harmony in the indices, just try it in the Cryptocurrency market. Use as indicator in other markets. Support with channels, trend lines with big periods and other supportive indicators. And my personal suggestion : Use this script and indicator TF : 4H and above. Specifications : Commission. ( % 0.125 ) Switchable Methods ( Relative Strength Index / Money Flow Index ) Alarms. (Buy / Sell ) Position closure when horizontal market rates weighs. Progressive gradual buy/sell alarms. Clean code layout that will not cause repaint. (Caution : source = close ) Switchable barcolor option (I / 0 ) *****Test results :***** drive.google.com Summary: It was a realistic test. It has achieved great success in some markets, but as I mentioned earlier, use it only to gain insight into the price movements of cryptos. Use as indicator in other markets. This code is open source under the MIT license. If you have any improvements or corrections to suggest, please send me a pull request via the github repository : github.com Stay tuned ! Noldo.

Swing Surfing on Slow Heiken Ashi Good for Crypto related markets. Guaranteed to catch every big swing, just have to make sure you keep your positions updated. 3m chart.