Arrow's Flexible MA Cross Strategy [API Ready]Arrow's High-Frequency MA Cross Scalper By: © ArrowTrade
=== OVERVIEW ===
This strategy is engineered for high-frequency trading and scalping opportunities, utilizing rapid Moving Average (MA) crossovers coupled with essential filters and precise risk management tools. Developed by ArrowTrade, it's specifically designed for seamless integration with automated trading systems via API (webhooks, etc.), enabling swift execution of short-term signals.
While adaptable, its core design favors capturing small, quick price movements typical of scalping approaches.
=== CORE LOGIC ===
Entry Signal: Primary entries are triggered by the crossover/crossunder of a Fast MA and a Slow MA. Configurable MA types (EMA, SMA, WMA, HMA, VWMA) and periods allow fine-tuning signal sensitivity for different market rhythms.
Trend Filter (Optional): A longer-term MA acts as a regime filter. When enabled, entries are only permitted in the direction of this broader trend, aiming to avoid counter-trend scalps in strongly directional markets.
Confirmation Filters (Optional):
ATR Volatility Filter: Designed to pause entries during extremely flat or "dead" markets where volatility drops below a dynamic threshold (based on average ATR). This helps prevent whipsaws in non-trending, low-energy conditions.
Volume Filter: Validates entry signals by requiring a minimum level of market participation (volume compared to its moving average). This helps avoid entries based on low-liquidity spikes or insignificant price action.
=== RISK MANAGEMENT SUITE (Crucial for Scalping) ===
Initial Volatility Stop: An ATR-based initial stop provides an objective starting point for risk definition on each trade, adapting to recent volatility. Tighter multipliers are often preferred for scalping.
ATR Trailing Stop: Essential for dynamic markets. Trails the stop loss behind favorable price action, aiming to protect profits on successful scalps while cutting losses relatively quickly if the move reverses. Fine-tune the ATR period and multiplier for desired responsiveness.
Break-Even Stop (Optional): Can be configured to automatically move the stop to entry (plus buffer) once TP1 is hit or price travels a specific ATR distance. Useful for quickly neutralizing risk on a trade that has shown initial promise.
Dual Take Profit Levels:
TP1: Designed for rapid, partial profit-taking. Set a tight percentage target and define the portion (%) of the position to close (e.g., 50%). This secures initial gains quickly, a key element in many scalping systems.
TP2: Target for the remaining portion of the position, aiming for a slightly larger move if the initial momentum continues.
Fixed Quantity Sizing: Enables precise control over position size per trade, crucial for consistent risk application in high-frequency environments and straightforward API command generation.
=== INTENDED USE: HIGH-FREQUENCY & API AUTOMATION ===
This strategy is purpose-built for traders leveraging API automation for high-frequency scalping.
Parameter Tuning for Scalping: Achieve higher signal frequency by using:
Shorter Fast MA Period and Slow MA Period.
Faster MA Types like EMA or HMA.
Tighter Initial Stop ATR Multiplier and Trailing ATR Multiplier.
Smaller TP1 Target (%) and potentially TP2 Target (%).
Careful adjustment of ATR Volatility Filter and Volume Filter thresholds to balance signal frequency with noise reduction.
API Integration: The strategy's clear entry (MA Cross + Filters OK) and exit logic (SL Hit, TP Limit Hit) generates unambiguous signals. Use TradingView alerts (alertcondition or native strategy alerts) configured with webhook URLs to trigger your external trading bot (e.g., 3Commas, PineConnector, custom solutions) for near-instantaneous order execution. The fixed quantity simplifies the payload sent to your API endpoint.
=== RISK MANAGEMENT FOR SCALPING ===
High-frequency trading requires extremely disciplined risk management:
Position Size (qtyValue): CRITICAL. Calculate this based on a small, fixed percentage of your capital risked per trade (e.g., 0.25% - 1%) relative to your initial stop distance. Due to the high number of trades, even small consistent losses can accumulate rapidly if sizing is too large.
Stop Loss: NON-NEGOTIABLE. Always use stops. Scalping often benefits from tighter initial stops combined with an aggressive trailing stop to protect small gains.
Commissions & Slippage: Account for these meticulously in settings and backtests. High trade frequency means these costs significantly impact net profitability. Ensure commission_value and slippage inputs reflect your actual trading environment.
Overfitting: Be highly aware of overfitting during optimization, especially with many parameters. Validate results on out-of-sample data or through forward testing.
=== CUSTOMIZATION & OPTIMIZATION ===
Explore different Signal Source options (e.g., hlc3) for potentially smoother MA signals.
Systematically optimize MA lengths, filter parameters, ATR multipliers, and TP percentages using TradingView's Strategy Tester, focusing on metrics like Profit Factor, Sharpe Ratio (or Sortino), and Net Profit while keeping Max Drawdown within acceptable limits.
Test different combinations of the optional filters. Sometimes fewer filters can perform better.
=== DISCLAIMER ===
Trading involves substantial risk. Past performance is not indicative of future results.
This script is provided for educational and informational purposes only and does not constitute financial advice.
© ArrowTrade makes no guarantees regarding the performance or profitability of this strategy.
You are solely responsible for all trading decisions and risk management. Always perform thorough testing and validation before deploying any strategy with real capital. Adjust all settings, especially risk parameters, to your specific needs.
Emacross
Long EMA Strategy with Advanced Exit OptionsThis strategy is designed for traders seeking a trend-following system with a focus on precision and adaptability.
**Core Strategy Concept**
The essence of this strategy lies in use of Exponential Moving Averages (EMAs) to identify potential long (buy) positions based on the relative positions of short-term, medium-term, and long-term EMAs. The use of EMAs is a classic yet powerful approach to trend detection, as these indicators smooth out price data over time, emphasizing the direction of recent price movements and potentially signaling the beginning of new trends.
**Customizable Parameters**
- **EMA Periods**: Users can define the periods for three EMAs - long-term, medium-term, and short-term - allowing for a tailored approach to capture trends based on individual trading styles and market conditions.
- **Volatility Filter**: An optional Average True Range (ATR)-based volatility filter can be toggled on or off. When activated, it ensures that trades are only entered when market volatility exceeds a user-defined threshold, aiming to filter out entries during low-volatility periods which are often characterized by indecisive market movements.
- **Trailing Stop Loss**: A trailing stop loss mechanism, expressed as a percentage of the highest price achieved since entry, provides a dynamic way to manage risk by allowing profits to run while cutting losses.
- **EMA Exit Condition**: This advanced exit option enables closing positions when the short-term EMA crosses below the medium-term EMA, serving as a signal that the immediate trend may be reversing.
- **Close Below EMA Exit**: An additional exit condition, which is disabled by default, allows positions to be closed if the price closes below a user-selected EMA. This provides an extra layer of flexibility and risk management, catering to traders who prefer to exit positions based on specific EMA thresholds.
**Operational Mechanics**
Upon activation, the strategy evaluates the current price in relation to the set EMAs. A long position is considered when the current price is above the long-term EMA, and the short-term EMA is above the medium-term EMA. This setup aims to identify moments where the price momentum is strong and likely to continue.
The strategy's versatility is further enhanced by its optional settings:
- The **Volatility Filter** adjusts the sensitivity of the strategy to market movements, potentially improving the quality of the entries during volatile market conditions.
The Average True Range (ATR) is a key component of this filter, providing a measure of market volatility by calculating the average range between the high and low prices over a specified number of periods. Here's how you can adjust the volatility filter settings for various market conditions, focusing on filtering out low-volatility markets:
Setting Examples for Volatility Filter
1. High Volatility Markets (e.g., Cryptocurrencies, Certain Forex Pairs):
ATR Periods: 14 (default)
ATR Multiplier: Setting the multiplier to a lower value, such as 1.0 or 1.2, can be beneficial in high-volatility markets. This sensitivity allows the strategy to react to volatility changes more quickly, ensuring that you're entering trades during periods of significant movement.
2. Medium Volatility Markets (e.g., Major Equity Indices, Medium-Volatility Forex Pairs):
ATR Periods: 14 (default)
ATR Multiplier: A multiplier of 1.5 (default) is often suitable for medium volatility markets. It provides a balanced approach, ensuring that the strategy filters out low-volatility conditions without being overly restrictive.
3. Low Volatility Markets (e.g., Some Commodities, Low-Volatility Forex Pairs):
ATR Periods: Increasing the ATR period to 20 or 25 can smooth out the volatility measure, making it less sensitive to short-term fluctuations. This adjustment helps in focusing on more significant trends in inherently stable markets.
ATR Multiplier: Raising the multiplier to 2.0 or even 2.5 increases the threshold for volatility, effectively filtering out low-volatility conditions. This setting ensures that the strategy only triggers trades during periods of relatively higher volatility, which are more likely to result in significant price movements.
How to Use the Volatility Filter for Low-Volatility Markets
For traders specifically interested in filtering out low-volatility markets, the key is to adjust the ATR Multiplier to a higher level. This adjustment increases the threshold required for the market to be considered sufficiently volatile for trade entries. Here's a step-by-step guide:
Adjust the ATR Multiplier: Increase the ATR Multiplier to create a higher volatility threshold. A multiplier of 2.0 to 2.5 is a good starting point for very low-volatility markets.
Fine-Tune the ATR Periods: Consider lengthening the ATR calculation period if you find that the strategy is still entering trades in undesirable low-volatility conditions. A longer period provides a more averaged-out measure of volatility, which might better suit your needs.
Monitor and Adjust: Volatility is not static, and market conditions can change. Regularly review the performance of your strategy in the context of current market volatility and adjust the settings as necessary.
Backtest in Different Conditions: Before applying the strategy live, backtest it across different market conditions with your adjusted settings. This process helps ensure that your approach to filtering low-volatility conditions aligns with your trading objectives and risk tolerance.
By fine-tuning the volatility filter settings according to the specific characteristics of the market you're trading in, you can enhance the performance of this strategy
- The **Trailing Stop Loss** and **EMA Exit Conditions** provide two layers of exit strategies, focusing on capital preservation and profit maximization.
**Visualizations**
For clarity and ease of use, the strategy plots the three EMAs and, if enabled, the ATR threshold on the chart. These visual cues not only aid in decision-making but also help in understanding the market's current trend and volatility state.
**How to Use**
Traders can customize the EMA periods to fit their trading horizon, be it short, medium, or long-term trading. The volatility filter and exit options allow for further customization, making the strategy adaptable to different market conditions and personal risk tolerance levels.
By offering a blend of trend-following principles with advanced risk management features, this strategy aims to cater to a wide range of trading styles, from cautious to aggressive. Its strength lies in its flexibility, allowing traders to fine-tune settings to their specific needs, making it a potentially valuable tool in the arsenal of any trader looking for a disciplined approach to navigating the markets.
Mix1 : Ema Cross + Trend Channel [Gu5] - BacktestBacktest of the indicator "Mix1: Ema Cross + Trend Channel "
Trend indicator, by the crossing of moving averages
SMA200 with a channel as a filter confirms the trend.
The crossing of two moving averages, give alert only in trend.
Double EMA CROSS
Double EMA CROSS (DEC)
Useful for identifying and receiving alerts about uptrends and downtrends.
This script uses two Exponential Moving Averages (EMAs) to find price uptrends and downtrends.
An Exponential Moving Average ( EMA ) is a type of moving average that places a greater weight and significance on the most recent data points.
The script produces uptrend and downtrend signals based on crossovers and divergences between the two EMAs,
the user will be able to spot a trend change (when the EMAs crossover) and to determine the strength of the current trend (when the EMAs diverge).
It is also posible to get alerts for uptrends and downtrends on the web and mobile app with sound and pop-ups as well as via email.
The optimal time to enter and exit the market can be concluded from this trend changes.
The user can set their own EMAs, by default they are set to 25 and 75 periods for medium and long term respectively.
When the medium term EMA crosses below the long term EMA the asset is in a downtrend and the price will decline, and when the
medium term EMA crosses above the long term EMA the asset is in an uptrend and price will increase.
This scripts plots the following indicators and signals on the chart to help the user to identify trends:
1.- Medium and long term EMAs as lines overlaid on the price chart.
2.- Up green triangles above bars when the price is on an uptrend and down red triangles below bars when the price is on a downtrend.
3.- Arrows with text to indicate the start of an uptrend or downtrend.
The user can enable and disable the indicators and signals as well as set colors and shapes to their liking.
This script also lets the user create alerts for uptrends and downtrends. To create a new alert using this script follow this instructions:
1.- Once you added this script to your chart, go to the alerts panel (right on web or bottom tool bar on the mobile app) and add a new alert (alarm clock icon with a plus sign).
2.- A modal window will open. On the “Condition” dropdown menu select “DEC”.
3.- On the next dropdown menu (right below the “Condition” one) you can select.
4.- Lastly you can set all the normal alert options and create the alert.
BUY and SELL - Backtest single EMA cross By che_traderHi, I hope you're well!
At the request of my friend @jansrbtc I'm going to publish a simple emas crossing strategy.
We will do long or short at the cross of the two ema.
Good strategy for when an asset is in trend.
Warm: In choppy periods this indicator can be very affected by large drawdowns.
Enjoy!
MACD+EMA crossovers Strategy customIt is a Strategy to use EMA crossover and MACD to decide when "buy" and when "sell", the key is spend some time "tuning" the parameters and using the simulation tool to find the best parameters for EMA and MACD there are 6 parameters, but with Excel and patience you could find the best configuration for the past and apply it to the future and see.