ScalpZilla Strategy Claude 0.1 (beta)This script is designed to backtest your strategy based on any MA indicator.
In my case I use ScalpZilla Signal Line as a signal line crossovers.
You may put any MA in you source Input.
0.1 Beta Version
指标和策略
Temporary Help Services Jobs - Trend Allocation StrategyThis strategy is designed to capitalize on the economic trends represented by the Temporary Help Services (TEMPHELPS) index, which is published by the Federal Reserve Economic Data (FRED). Temporary Help Services Jobs are often regarded as a leading indicator of labor market conditions, as changes in temporary employment levels frequently precede broader employment trends.
Methodology:
Data Source: The strategy uses the FRED dataset TEMPHELPS for monthly data on temporary help services.
Trend Definition:
Uptrend: When the current month's value is greater than the previous month's value.
Downtrend: When the current month's value is less than the previous month's value.
Entry Condition: A long position is opened when an uptrend is detected, provided no position is currently held.
Exit Condition: The long position is closed when a downtrend is detected.
Scientific Basis:
The TEMPHELPS index serves as a leading economic indicator, as noted in studies analyzing labor market cyclicality (e.g., Katz & Krueger, 1999). Temporary employment is often considered a proxy for broader economic conditions, particularly in predicting recessions or recoveries. Incorporating this index into trading strategies allows for aligning trades with potential macroeconomic shifts, as suggested by research on employment trends and market performance (Autor, 2001; Valetta & Bengali, 2013).
Usage:
This strategy is best suited for long-term investors or macroeconomic trend followers who wish to leverage labor market signals for equity or futures trading. It operates exclusively on end-of-month data, ensuring minimal transaction costs and noise.
Buy Sell Pivot Point
This strategy leverages pivot points and a SuperTrend indicator to identify buy and sell opportunities in financial markets. It includes the ability to fix the analysis to a specific timeframe, regardless of the chart's current view. The strategy validates crossover signals from SMAs based on EMAs, ensuring proximity to recent pivots for higher accuracy. It also dynamically plots support and resistance levels while executing trades based on trend changes and breakout signals.
Relative StrengthThis strategy employs a custom "strength" function to assess the relative strength of a user-defined source (e.g., closing price, moving average) compared to its historical performance over various timeframes (8, 34, 20, 50, and 200 periods). The strength is calculated as a percentage change from an Exponential Moving Average (EMA) for shorter timeframes and a Simple Moving Average (SMA) for longer timeframes. Weights are then assigned to each timeframe based on a logarithmic scale, and a weighted average strength is computed.
Key Features:
Strength Calculation:
Calculates the relative strength of the source using EMAs and SMAs over various timeframes.
Assigns weights to each timeframe based on a logarithmic scale, emphasizing shorter timeframes.
Calculates a weighted average strength for a comprehensive view.
Visualizations:
Plots the calculated strength as a line, colored green for positive strength and red for negative strength.
Fills the background area below the line with green for positive strength and red for negative strength, enhancing visualization.
Comparative Analysis:
Optionally displays the strength of Bitcoin (BTC), Ethereum (ETH), S&P 500, Nasdaq, and Dow Jones Industrial Average (DJI) for comparison with the main source strength.
Backtesting:
Allows users to specify a start and end time for backtesting the strategy's performance.
Trading Signals:
Generates buy signals when the strength turns positive from negative and vice versa for sell signals.
Entry and exit are conditional on the backtesting time range.
Basic buy and sell signal plots are commented out (can be uncommented for visual representation).
Risk Management:
Closes all open positions and cancels pending orders outside the backtesting time range.
Disclaimer:
Backtesting results do not guarantee future performance. This strategy is for educational purposes only and should be thoroughly tested and refined before risking capital.
Additional Notes:
- The strategy uses a custom "strength" function that can be further customized to explore different timeframes and weighting schemes.
- Consider incorporating additional technical indicators or filters to refine the entry and exit signals.
- Backtesting with different parameters and market conditions is crucial for evaluating the strategy's robustness.
AI Moving Average Crossover BotA bot that gives signals using MA(Moving average)
s a strategy rather than just an indicator. A strategy allows for backtesting and automating trades.
made with pinescript v6
Bollinger Bands StrategyHier ist eine grundlegende Tradingstrategie für ZEREBRO/USDT in Pine Script, die auf Bollinger Bändern basiert. Diese Strategie setzt Kauf- und Verkaufssignale und kann automatisch mit Bybit über TradingView verknüpft werden.
Bollinger Strategy
Diese Strategie verwendet Bollinger-Bänder, um Kauf- und Verkaufssignale zu generieren.
Crypto Drawdown StrategyCrypto Drawdown Strategy 💎
"Buy the dip, ride the rebound!"
The Crypto Drawdown Strategy is tailored for traders looking to take advantage of market volatility by entering positions during sharp price declines. This strategy focuses on buying at discounted levels and exiting with profits during recovery, making it ideal for volatile markets like cryptocurrency.
Features:
Precision Entry: Enter trades when the price drops by 5-10%, identifying potential market bottoms.
Risk-Reward Management: Automatically sets Take Profit and Stop Loss levels for disciplined trading.
Dynamic Visualization: Displays entry points, take profit, and stop loss levels directly on the chart for easy tracking.
Fast-Paced Trades: Designed for shorter trade durations to minimize exposure and capitalize on quick rebounds.
How It Works:
1️⃣ Entry Condition: A buy signal is triggered when the price drops between 5-10% from the recent high, signaling a potential oversold condition.
2️⃣ Exit Condition: The trade closes automatically when the price hits either the Take Profit level (+10%) or the Stop Loss level (-5%).
3️⃣ Customizable Parameters: Adjust entry drop percentage, take profit, and stop loss levels to suit your risk tolerance and market conditions.
Who Is It For?
This strategy is perfect for traders who:
✅ Want to profit from market corrections in highly volatile assets.
✅ Prefer shorter trade durations and quick recoveries.
✅ Seek a systematic approach to buying the dip with built-in risk management.
💡 Pro Tip: Combine this strategy with volume analysis or RSI to confirm oversold conditions. Test on multiple cryptocurrencies to find the most consistent performers.
🔍 Start backtesting now and see how the Crypto Drawdown Strategy can enhance your trading performance!
Let me know if you’d like further refinements or additional features! 🚀
Strategies 71% Profit / Scalping by Jasson+FuturosMake the most of it, Time: 10:00am A 12:00pm (New-York).
Ultimate Buy/Sell IndicatorUltimate Buy and Sell Indicator For Johnny B Ultimate Buy and Sell Indicator For Johnny B Ultimate Buy and Sell Indicator For Johnny B Ultimate Buy and Sell Indicator For Johnny B Ultimate Buy and Sell Indicator For Johnny B Ultimate Buy and Sell Indicator For Johnny B Ultimate Buy and Sell Indicator For Johnny B Ultimate Buy and Sell Indicator For Johnny B
Relative Strength IndexRelative Strength Index
The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to detect overbought or oversold conditions in the price of that security.
21 EMA Crossover Strategy with 80% accuracy21 EMA Crossover Strategy with 80% accuracy. Once high of the buy signal is broken take a long trade and once low of sell signal is broken then take a short trade. Put stoploss as high or low of prev candle based on the trade
sajjad jamshidi Support The Bull Market Support Band Strategy is a trend-following strategy that leverages the relationship between two moving averages: the Simple Moving Average (SMA) and the Exponential Moving Average (EMA). This strategy aims to capture long positions in a bullish market when the EMA crosses above the SMA, signaling an upward trend, and to exit positions when the EMA crosses below the SMA, indicating a bearish reversal. The strategy is designed to operate on a weekly timeframe.
Moving Average Crossover Strategy with Take Profit and Stop LossThe Moving Average Crossover Strategy is a popular trading technique that utilizes two moving averages (MAs) of different periods to identify potential buy and sell signals. By incorporating take profit and stop loss levels, traders can effectively manage their risk while maximizing potential returns. Here’s a detailed explanation of how this strategy works:
Overview of the Moving Average Crossover Strategy
Moving Averages:
A short-term moving average (e.g., 50-day MA) reacts more quickly to price changes, while a long-term moving average (e.g., 200-day MA) smooths out price fluctuations over a longer period.
The strategy generates trading signals based on the crossover of these two averages:
Buy Signal: When the short-term MA crosses above the long-term MA (often referred to as a "Golden Cross").
Sell Signal: When the short-term MA crosses below the long-term MA (known as a "Death Cross").
Implementing Take Profit and Stop Loss
1. Setting Take Profit Levels
Definition: A take profit order automatically closes a trade when it reaches a specified profit level.
Strategy:
Determine a realistic profit target based on historical price action, support and resistance levels, or a fixed risk-reward ratio (e.g., 2:1).
For instance, if you enter a buy position at $100, you might set a take profit at $110 if you anticipate that level will act as resistance.
2. Setting Stop Loss Levels
Definition: A stop loss order limits potential losses by closing a trade when the price reaches a specified level.
Strategy:
Place the stop loss just below the most recent swing low for buy orders or above the recent swing high for sell orders.
Alternatively, you can use a percentage-based method (e.g., 2-3% below the entry point) to define your stop loss.
For example, if you enter a buy position at $100 with a stop loss set at $95, your maximum loss would be limited to $5 per share.
Example of Using Moving Average Crossover with Take Profit and Stop Loss
Entry Signal:
You observe that the 50-day MA crosses above the 200-day MA at $100. You enter a buy position.
Setting Take Profit and Stop Loss:
You analyze historical price levels and set your take profit at $110.
You place your stop loss at $95 based on recent swing lows.
Trade Management:
If the price rises to $110, your take profit order is executed, securing your profit.
If the price falls to $95, your stop loss is triggered, limiting your losses.
BTC 5min go with trend strategy by AdrienBCThis strategy uses higher time from (30min) 28 EMA for trend direction and takes entries on overbought zones for shorts and oversold zones for longs using the L3 banker fund indicator
Supertrend + KAMA Long StrategyThis strategy combines Supertrend and Kaufman Adaptive Moving Average (KAMA) indicators to identify long positions and manage stop-loss conditions effectively.
**Supertrend**: Determines the trend direction and helps identify entry and exit points.
**KAMA**: Adapts dynamically to market volatility and confirms trend reversals.
The strategy enters a long position when the Supertrend indicates an uptrend and the price is above the KAMA. It exits when the Supertrend switches to a downtrend and the price is below the KAMA, minimizing losses or protecting profits.
Supertrend - 4h LettermanThis strategy, named "Supertrend - 4h Letterman", leverages the Supertrend indicator to identify and act on bullish market trends. Here's a summary of its features and warnings:
Features:
Capital Allocation: Allocates 15% of equity per trade, ensuring a controlled risk-reward ratio.
Commission and Slippage: Includes a 0.1% commission and a slippage value of 3 to account for real-market conditions.
Date Filters: Allows users to specify a start and end date for trading, defaulting to January 1, 2018, through December 31, 2069.
Trade Logic:
Enters a long position when a bullish trend is detected.
Exits the position when the trend reverses to bearish.
Visualization: Plots the Supertrend levels with clear uptrend (green) and downtrend (red) visuals for easy monitoring.
Risk Warning:
Trading involves significant risk and may lead to loss of invested capital. Users are strongly advised to trade responsibly and consult with a financial advisor if unsure.
Let me know if you’d like further refinements or additional clarifications!
MA 200 and Bollinger Bands StrategyNamaku Alfian, aku wong jawa timur, gawe en lek menurutmu cocok, lek engga yo ojo dielek2no, iki mek gae testing tok, aku yo butuh duit su
ALMA Crossover StrategyALMA (Arnaud Legoux Moving Average) is a type of moving average that attempts to reduce the lag of traditional moving averages while still being responsive to recent price changes. It is based on a weighted average. Strategy has user defined line length and can be adjusted to suit the trader's preference.
The script is purely for educational purposes and you are advised to backtest before using for trading
My Moving Average Crossover StrategyOverview of the My Moving Average Crossover Strategy
Moving Averages:
A short-term moving average reacts more quickly to price changes, while a long-term moving average smooths out price fluctuations over a longer period.
The strategy generates trading signals based on the crossover of these two averages:
Buy Signal: When the short-term MA crosses above the long-term MA
Sell Signal:
Implementing Take Profit and Stop Loss
1. Take Profit Levels - 10
2. Stop Loss Levels - 5
3. Take Profit Dynamic - 20
4. Stop Loss Dynamic - 2.5
21 & 8 SMA Crossover Long StrategyBuy when 8 sma crosses above 21 sma and sell when it crosses below 21sma
Crypto - Relative Strength Strategy - LongCrypto - Relative Strength Strategy (Long Only, $100 Buy)
Overview
The " Crypto - Relative Strength Strategy (Long Only, $100 Buy) " is a trading strategy designed to capitalize on the relative strength of a cryptocurrency compared to its historical price movements. This strategy is tailored for long-only positions, meaning it only enters buy trades and exits when the strength indicator turns negative.
Key Features
Relative Strength Calculation : The strategy uses a custom function to calculate the relative strength of the cryptocurrency based on its performance against several moving averages (EMA 8, EMA 34, SMA 20, SMA 50, and SMA 200).
Long-Only Positions : The strategy exclusively enters long positions when the relative strength indicator turns positive.
Fixed $100 Buy Amount : Each time a buy signal is triggered, the strategy purchases $100 worth of the cryptocurrency.
Sell Signals : The strategy closes the entire position when the relative strength indicator turns negative.
Backtesting Date Range : Users can specify a custom date range for backtesting using the input.time function.
Visual Indicators : Green and red areas represent positive and negative strength. Minimal buy and sell signals are plotted on the chart.