This script helps investors visualize the performance of a DCA strategy by plotting the portfolio Sharpe Ratio, giving insight into the risk-adjusted returns of a DCA investment strategy. By adjusting the input parameters, users can tailor the investment strategy to their specific needs and analyze its effectiveness over a defined period. Sharpe Ratio= / ...
This is the Bitcoin Risk Metric. Inspired by many power law analysts, this script assigns a risk value to the price of Bitcoin. The model uses regression of 'fair value' data to assign risk values and residual analysis to account for diminishing returns as time goes on. This indicator is for long-term investors looking to maximise their returns by highlighting...
This is the Bitcoin Risk Metric. Inspired by many power law analysts, this script assigns a risk value to the price of Bitcoin. The model uses regression of 'fair value' data to assign risk values and residual analysis to account for diminishing returns as time goes on. This indicator is for long-term investors looking to maximise their returns by highlighting...
The intelligent accumulator is a proof of concept strategy. A hybrid between a recurring buy and TA-based entries and exits. Distribute the amount of equity and add to your position as long as the TA condition is valid. Use the exit TA condition to define your exit strategy. Decide between adding only into losing positions to average down or take a riskier...
🌌 What the script does, how it does ? At the heart of its algorithm, this script incorporates the concept of Dollar Cost Averaging (DCA), a method of periodically allocating funds to an asset to mitigate the effects of market volatility. Before we start, it's important to clarify that the script is adapted for the cryptocurrency market on USDT & USDC pairs in...
INSPIRATION While Dollar Cost Averaging (DCA) is a popular and stress-free investment approach, I noticed an opportunity for enhancement. Standard DCA involves buying consistently, regardless of market conditions, which can sometimes mean missing out on optimal investment opportunities. This led me to develop the Smart DCA Strategy – a 'set and forget' method...
The "CARNAC Magic DCA" indicator is designed for investors looking for the best opportunities for Dollar-Cost Averaging (DCA). How it works: The Carnac Dynamic DCA Threshold calculates a dynamic threshold for DCA entries using Exponential Moving Average (EMA), Average True Range (ATR), and the maximum distance from the EMA over a full lookback period, aiding...
This Strategy focuses on strategically Martingaling when the price has dropped X% from your current Dollar Cost Average (DCA). When it does Martingale, it will create a Purchase Grid around this location to likewise attempt to get you a better DCA. Likewise following the Martingale strategy, it will sell when your Profit has hit your target of X%. Martingale may...
This is system for DCA with strategy and can trade on trend technique "CDC Action Zone". We upgrade Grospector DCA V.3 by minimizing unnecessary components and it is not error price predictions. This has 5 zone Extreme high , high , normal , low , Extreme low. You can dynamic set min - max percent every zone. Extreme zone is derivative short and long which It...
Hello, I've been utilizing this DCA approach in my trading strategy for a while now, and I believe it's time to share it with the community. The VWMA Bands and RMF DCA Strategy is a powerful trading approach that combines the concepts of Volume Weighted Moving Average (VWMA) bands and the Relative Momentum Factor (RMF). This strategy employs Dollar Cost...
Welcome! This is the writeup for the Broadview Algorithmic Studio. There are many unique features in this script. - Broadview Underpriced & Overpriced - Broadview Blackout Bollinger Bands - Trailing Take Profit Suite - Algorithmic Weights - VSA Score - Pip Change Log - Activation Panel - Weight Scanner There are 116 primary inputs that allow users to...
█ OVERVIEW Detect price crashes in volatile conditions. This is an indicator for a greedy dollar cost average (DCA) strategy. That is, for people who want to repeatedly buy an asset over time when its price is crashing. █ CONCEPTS Price crashes are indicated if the price falls below one or more of the 4 lower Bollinger Bands which are calculated with...
The DCA Liquidation Calculator is a powerful table indicator designed for both manual and bot-assisted traders who practice Dollar Cost Averaging (DCA). Its primary objective is to help traders avoid getting liquidated and make informed decisions when managing their positions. This comprehensive table indicator provides essential information to DCA traders,...
Average purchase price This tool calculates the average purchase and sell price and the profit/loss ratio for the selected symbol based on the user's inputs for the purchase and sell prices and the entry and exit amounts. Using Average purchase price with DCA strategy This tool can be used to track the performance of your dollar cost averaging...
This is upgrated system for Screener to DCA from "Grospector DCA V.3". This has 5 zone Extreme high , high , normal , low , Extreme low. You can dynamic set min - max percent every zone. Extreme zone is derivative short and long which It change Extreme zone to Normal zone all position will be closed. Every Zone is splitted 10 channel. and this strategy calculate...
Introducing the DCA-Integrated Trend Continuation Strategy 💼💰 The DCA-Integrated Trend Continuation Strategy represents a robust trading methodology that harnesses the potential of trend continuation opportunities while seamlessly incorporating the principles of Dollar Cost Averaging (DCA) as a risk management and backup mechanism. This strategy harmoniously...
The "Mizar_Library" is a powerful tool designed for Pine Script™ programmer’s, providing a collection of general functions that facilitate the usage of Mizar’s DCA (Dollar-Cost-Averaging) bot system. To begin using the Mizar Library, you first need to import it into your indicator script. Insert the following line below your indicator initiation line: import...