Enhanced Trend Following Strategy for DOGEUSDT (1-Min Chart)This strategy is designed to capitalize on trend momentum while minimizing risk through calculated entries and exits. With a focus on high-frequency trading, it leverages key technical indicators such as EMA crossovers, ADX trend strength, and RSI for market momentum analysis.
Performance Overview
Net Profit: +7,176.92 USDT (0.72%)
Total Closed Trades: 39
Win Rate: 76.92%
Profit Factor: 1.819
Max Drawdown: 3,600.01 USDT (0.36%)
Avg Trade: 184.02 USDT (0.18%)
Avg # Bars in Trades: 39
Key Features
Dual EMA Trend Confirmation:
A fast EMA (e.g., 50-period) and slow EMA (e.g., 200-period) identify strong trend directions and crossovers to confirm entry points.
ADX Trend Strength Filtering:
The Average Directional Index (ADX) helps ensure trades are only taken during strong trending conditions, avoiding choppy markets.
RSI Momentum Indicator:
Avoids overbought/oversold conditions by filtering entries when RSI is in favorable territory.
Multi-Timeframe Analysis:
Uses higher timeframe data to confirm trend direction, adding robustness to the strategy.
Risk Management:
Dynamic stop-loss and take-profit levels adjust based on market volatility to capture optimal profit potential.
Trade Logic
Long Entry:
When the fast EMA crosses above the slow EMA, ADX confirms a strong trend, and RSI indicates upward momentum.
Stop-loss set below recent swing low, take-profit at a 5-10% gain target.
Short Entry:
When the fast EMA crosses below the slow EMA, ADX confirms a downtrend, and RSI indicates downward momentum.
Stop-loss above recent swing high, take-profit at a 5-10% gain target.
Exit Conditions:
Take profit triggered when predefined levels are hit, or an opposite crossover occurs.
Stop loss triggered on price reversal beyond key support/resistance levels.
Potential Improvements
Fine-tuning ADX smoothing to reduce whipsaws.
Experimenting with dynamic position sizing based on ATR.
Adding volume-based confirmations for increased accuracy.
This strategy provides a solid foundation for trend-following traders, especially on shorter timeframes such as the 1-minute chart, with a strong focus on maintaining a high win rate and keeping drawdowns under control.
Give it a shot and optimize it further to suit your trading style!
Doge
Big Whale Purchases and SalesBig Whale Purchases and Sales - plots big whale transactions on your chart!
People that hold more than 1% of a crypto currencies circulating supply are considered whales and have a huge influence on price, not just because they can move the market with their huge transactions, but also because other traders often track their wallets and follow their example. Taking a look at whale holdings, one can see why whale worship is so common in crypto: While Bitcoin has a relatively low whale concentration, many of the Top 100 Cryptocurrencies have whales control 60% or more of their circulating supply.
Integrating IntoTheBlock data, this script plots the transactions of these whales and, in strategy mode, copy trades them.
Features:
Strategy Mode: Switches the script between an indicator and a strategy.
Standard Deviations: The number of Standard Deviations that a transaction needs to surpass to be considered worth plotting. Setting this to 0 will show all whale transactions, higher settings will only show the biggest transactions.
Blockchain: The Chain on which Whale activity is tracked.
QQE Student's T-Distribution Bollinger Bands ScreenerThis script scans 20 custom symbols and displays the QQE Students T-Distribution Bollinger Bandwidth as a percentage, the quarter segment percentage, a score that tells you what segment of the band the price is in, and what direction the market is going in. This is useful because it can tell you how volatile a market is and how much reward is in the market. It also tells you what direction the market is going in so you can pick a symbol that has the best looking reward. I really hope that this script complements the group of indicators I have made so far. Here is a list of the other two indicators related to this script.
Please enjoy!
PineGIF - Display Gifs & Images In Tradingview [LuxAlgo]Pinescript is not designed to create or display images, let alone gifs, but it's very fun to try, and that's what this script does. This script allows the user to display three different gifs. In this post, we explain how we managed to display images/gif's using pinescript tables.
1. Image Pre-Processing
Due to pinescript limitations, we can't possibly display images with an excessively high resolution. As such we targeted pixel art as a primary image source. We used a pixel art gif of the magnificent Octocat (the mascot for the source-code hosting service GitHub) for our first try.
We first extract each frame from the gif and resize them to a 50x50 resolution which returns frames made of 2500 pixels. This process was done using python.
Getting Individual Pixels RGBA Values
Python can easily return a matrix containing each pixel's rgba value. For convenience, we converted the rgba values to hex.
We then create a simple code allowing us to return a pinescript array containing the 2500 pixel hex colors. We do this process for each frame.
2. Defining Table Cell Color
In the code, each frame is its own array. We create a new table with dimensions equal to len(frame1)^2 (we assume height = width).
The color of a cell is defined by the color of the image pixel at the same exact location. When a new bar is created, we do this exact process using a different frame which ultimately allows a new frame to be displayed.
3. Playing The GIFs
By default, the script will play the gif of the Tradingview cloud logo raining. In order to play the gif, simply use the replay mode. The replay speed allows the user to determine the frame rate (0.1 for the raining cloud and Nyan cat works best, 0.5 for Octocat).
We included the frames of the Octocat and Nyan cat gifs in the script.
4. Some Other Cool Images
Displaying static images is possible and involves the same process described above.
An original idea of the lizard, implemented by the wizard.
