Trendfollower — Индикаторы и стратегии

AMF PG Strategy_v2 The AMF PG Strategy (Praetorian Guard) is an advanced trading system designed to seamlessly adapt to market conditions. Its unique structure balances precise entries with intelligent protection, giving traders confidence in both trending and volatility environments. Key points include: Adaptive Core (AMF Engine) – A dynamic framework that automatically adjusts for clearer long- and short-term opportunities and generates a robust tracking line. Praetorian Guard – A built-in protective shield that activates in extreme conditions and helps stabilize performance when markets become turbulent. Versatility – Effective across multiple timeframes, from scalping to swing trading, without constant parameter adjustments. Clarity – Clear visual signals and color-coded monitoring for instant decision-making. This strategy is designed for traders who want more than just entries and exits; it offers a command center for disciplined, adaptable, and resilient trading. Disclaimer: It should be noted that no strategy is guaranteed. This strategy does not provide buy-sell-hold advice. Responsibility rests with the user. Version 2: Bugs overlooked in Version 1 have been corrected and improvements have been made.

Backtest - Strategy Builder [AlgoAlpha]🟠 OVERVIEW This script by AlgoAlpha is a modular Strategy Builder designed to let traders test custom trade entry and exit logic on TradingView without writing their own Pine code. It acts as a framework where users can connect multiple external signals, chain them in sequences, and run backtests with built-in leverage, margin, and risk controls. Its main strength is flexibility—you can define up to five sequential steps for entry and exit conditions on both long and short sides, with logic connectors (AND/OR) controlling how conditions combine. This lets you test complex multi-step confirmation workflows in a controlled, visual backtesting environment. 🟠 CONCEPTS The system works by linking external signals —these can be values from other indicators, and/or custom sources—to conditional checks like “greater than,” “less than,” or “crossover.” You can stack these checks into steps , where all conditions in a step must pass before the sequence moves to the next. This creates a chain of logic that must be completed before a trade triggers. On execution, the strategy sizes positions according to your chosen leverage mode ( Cross or Isolated ) and allocation method ( Percent of equity or absolute USD value]). Liquidation prices are simulated for both modes, allowing realistic margin behaviour in testing. The script also tracks performance metrics like Sharpe, Sortino, profit factor, drawdown, and win rate in real time. 🟠 FEATURES Up to 5 sequential steps for both long and short entries, each with multiple conditions linked by AND/OR logic. Two leverage modes ( Cross and Isolated ) with independent long/short leverage multipliers. Separate multi-step exit triggers for longs and shorts, with optional TP/SL levels or opposite-side triggers for flipping positions. Position sizing by equity percent or fixed USD amount, applied before leverage. Realistic liquidation price simulation for margin testing. Built-in trade gating and validation—prevents trades if configuration rules aren’t met (e.g., no exit defined for an active side). Full performance dashboard table showing live strategy status, warnings, and metrics. Configurable bar coloring based on position side and TP/SL level drawing on chart. Integration with TradingView's strategy backtester, allowing users to view more detailed metrics and test the strategy over custom time horizons. 🟠 USAGE Add the strategy to your chart. In the settings, under Master Settings , enable longs/shorts, select leverage mode, set leverage multipliers, and define position sizing. Then, configure your Long Trigger and Short Trigger groups: turn on conditions, pick which external signal they reference, choose the comparison type, and assign them to a sequence step. For exits, use the corresponding Exit Long Trigger and Exit Short Trigger groups, with the option to link exits to opposite-side entries for auto-flips. You can also enable TP and/or SL exits with custom sources for the TP/SL levels. Once set, the strategy will simulate trades, show performance stats in the on-chart table, and highlight any configuration issues before execution. This makes it suitable for testing both simple single-signal systems and complex, multi-filtered strategies under realistic leverage and margin constraints. 🟠 EXAMPLE The backtester on its own does not contain any indicator calculation; it requires input from external indicators to function. In this example, we'll be using AlgoAlpha's Smart Signals Assistant indicator to demonstrate how to build a strategy using this script. We first define the conditions beforehand: Entry : Longs – SSA Bullish signal (strong OR weak) Shorts – SSA Bearish signal (strong OR weak) Exit Longs/Shorts: (TP/SL hit OR opposing signal fires) Other Parameters (⚠️Example only, tune this based on proper risk management and settings) Long Leverage: default (3x) Short Leverage: default (3x) Position Size: default (10% of equity) Steps Load up the required indicators (in this example, the Smart Signals Assistant). Ensure the required plots are being output by the indicator properly (signals and TP/SL levels are being plotted). Open the Strategy Builder settings and scroll down to "CONDITION SETUP"; input the signals from the external indicator. Configure the exit conditions, add in the TP/SL levels from the external indicator, and add an additional exit condition → {{Opposite Direction}} Entry Trigger. After configuring the entry and exit conditions, the strategy should now be running. You can view information on the strategy in TradingView's backtesting report and also in the Strategy Builder's information table (default top right corner). It is important to note that the strategy provided above is just an example, and the complexity of possible strategies stretches beyond what was shown in this short demonstration. Always incorporate proper risk management and ensure thorough testing before trading with live capital.

Moving Average Rainbow (Stormer)This strategy is based and shown by trader and investor Alexandre Wolwacz "Stormer". Overview The strategy uses 12 moving averages (default EMA) to identify trends and generate trading signals opening positions. Allowing to select the type of moving average and length to be used. The conditions includes relationship between moving averages, the position of the current price relative to the moving averages, and the occurrence of certain price patterns. Calculation The mean moving averages is calculated by adding all the 12 moving averages and dividing by 12, the value is used to help to identify trend and possible condition to open position. The 12 moving averages is spliced by 3 ranges, initial range (moving average lines 1 to 4), middle range (moving average lines 5 to 8) and end range (moving average lines 9 to 12). These ranges helps to identify potential trend and market turn over. The moving average touch price is a relationship between the low price (uptrend) or high price (downtrend) with the moving average lines, it identifies where the price (low/high) has reached the the moving average line. Fetching the value to help for opening position, set stop loss and take profit. Since the stop loss is based and set from the previous moving average touch price value, when position is about to be open and setting the stop loss value, there is a verification to check both current and previous moving average touch price to recalculate the stop loss value. The turnover trend checks for a possible market turnover event, setting up a new profit target, this setting when enabled is to be helpful when a turnover occurs against the position to exit position with some profit based on highest high price if long or lowest low price if short. The turnover signal is similar to turnover trend. The difference is that when this setting is enabled and it triggers, it simply exit the current position and opens up a reverse position, long goes short and short goes long. And there is an complement optional that checks current price exit profitable. Entry Position Long Position: Price is higher than the mean moving averages. Meaning possible uptrend. The lines of the middle range from the moving averages are in increasing order. Meaning possible uptrend. The current high pierced up previous high. Fetch the previous value of the moving average touch price. Meaning the low price has touched one of the moving average lines, which that value is conditioning to open position. Short Position: Price is lower than the mean moving averages. Meaning possible downtrend. The lines of the middle range from the moving averages are in decreasing order. Meaning possible downtrend. The current low pierced down previous low. Fetch the previous value of the moving average touch price. Meaning the high price has touched one of the moving average lines, which that value is conditioning to open position. Risk Management Stop Loss: The stop loss is based from the previous moving average touch price value, high price for short and low price for long or occurs an verification to check for both current and previous moving average touch price value and a recalculation is done to set the stop loss. Take Profit: According to the author, the profit target should be at least 1:1.6 the risk, so to have the strategy mathematically positive. The profit target is configured input, can be increased or decreased. It calculates the take profit based on the price of the stop loss with the profit target input. Turnover Trend Long Position: The moving averages initial range lines signals a possible market turnover. Meaning long might be going short. Fetches the highest high hit since the opening of the position, setting that value to the new profit target. Short Position: The moving averages initial range lines signals a possible market turnover. Meaning short might be going long. Fetches the lowest low hit since the opening of the position, setting that value to the new profit target.

Bollinger Bands Modified (Stormer)This strategy is based and shown by trader and investor Alexandre Wolwacz "Stormer". Overview The strategy uses two indicators Bollinger Bands and EMA (optional for EMA). Calculates Bollinger Bands, EMA, highest high, and lowest low values based on the input parameters, evaluating the conditions to determine potential long and short entry signals. The conditions include checks for crossovers and crossunders of the price with the upper and lower Bollinger Bands, as well as the position of the price relative to the EMA. The script also incorporates the option to add an inside bar pattern check for additional information. Entry Position Long Position: Price cross over the superior band of bollinger bands. The EMA is used to add support for trend analysis, it is an optional input, when used, it checks if price is above EMA. Short Position: Price cross under the inferior band of bollinger bands. The EMA is used to add support for trend analysis, it is an optional input, when used, it checks if price is under EMA. Risk Management Stop Loss: The stop loss is calculated based on the input highest high (for short position) and lowest low (for long position). It gets the length based on the input from the last candles to set which is the highest high and which is the lowest low. Take Profit: According to the author, the profit target should be at least 1:1.6 the risk, so to have the strategy mathematically positive. The profit target is configured input, can be increased or decreased. It calculates the take profit based on the price of the stop loss with the profit target input.

TheBigBangTraders Breakout Name: TheBigBangTraders Breakout Category: Trend Follower Operating mode: Spot Trades duration: Intraday Timeframe: 1H Suggested usage: the purpose of this strategy is to help to investigate if the asset is sensitive to breakout approach. Entry: Trigger point can be choose by the user between: High of the N days ago High of the N weeks ago Exit: End of Day Usage: ⁃ It can be useful to use this script to test the behaviour of a definite asset ⁃ This is a raw system that can be considered a base to realize a complete breakout strategy Configuration: - N/A Backtesting ⁃ Exchange: BINANCE ⁃ Pair: ETHUSDT ⁃ Timeframe: !H ⁃ Fee 0.075% ⁃ Slippage 0 - Start : 2020-01-03 How you or we can improve? Source code is open so share your ideas!

CryptoKiller CryptoKiller is a trend following trading system. It provides entry and exit points, a money management system and a trade management system. The entry points (fuchsia line) are determined by CryptoKiller Oscillator (see other published script to understand how the oscillator works). The trade management system provides the exit points in profit and in loss. This script works with multiple take profits (green lines), the initial position is liquidated little by little as the trend reaches the profit targets. Trade management also provides trailing stop exits to save the remaining profits. Stop loss (red line) take into account the recent past of the chart to be determined, while take profits are fixed and have been calculated based on historical volatility. The money management system is very simple, it plans to enter a position with a fixed percentage with respect to equity. CryptoKiller, during an operation, also draws supports and resistances on the chart - determined by the oscillator (orange lines) these supports and resistances are used as a filter to understand where there is the greatest probability of trend development (some entry points provided by the oscillator will therefore not be considered by CryptoKiller as entry points, as in disagreement with the traced supports / resistances). We know that an error appears in the backtest calculation, where the script is said to suffer from a bias, so the backtest calculation may not be accurate. Actually this happens in high times like H4 or daily, but CryptoKiller is not designed for these timeframes. it is a short-term strategy. For more information read the author's instructions to contact us, we will send a PDF file with a more complete explanation of the strategy accompanied by screenshots. Access to this script is granted along with access to CryptoKiller Oscillator.

Buy The Retrace backtest strategy A trend-following strategy entering pullbacks Simple but efficient Mostly used it on 1 min chart but it works extremely well on 5 min as well. The components of the strategy: -MTF ATR based Trend -Fib based cloud to help determine the trend - Caution when trend and cloud shows a different trend - a reversal may be possible. -Optional values for the signals -how often you would like to get one- can be changed based on - the current close relative to the close-only high-low range over a given period of time. -3x take profit levels - all adjustable in % - take profit quantities adjustable in % for each level -paints a line where your average position is -labels the current position size Be careful where the cloud is broken, a reversal may happen. Be careful longing / shorting the same levels which acted as a support/resistance before - this is why the win ratio is around 80% only as a small percentage gets stopped out usually. Would like to get access? Pm me I'll grant it.

EMA Slope Cross Trend Follower Strategy This strategy uses the cross of the slopes of two EMAs having different lengths to generate trend follower signals. By default, I use 130 and 400, which behave very well. The conditions which make the strat enter the market are: - Fast Slope > Slow Slope and price > EMA 200 : go Long - Fast Slope < Slow Slope and price < EMA200 : go Short The simple slopes cross in the opposite direction, closes the position. The strategy performs best on Bitcoin and the most liquid and capitalized Altcoins, but works greatly on volatile assets as well, in particular if they often go trending. Works best on 4h time frame. There's also an optional Volatility filter, which opens the position only if the difference between the two slopes is more than a specific value, which can be set in the strategy inputs. The purpose is not opening positions if price is going sideways and the noise is way > than the signal. Enjoy it!

Pivot Reversal Strategy - FIGS & DATES 2.0 Simple Pivot Reversal Strategy with some adding settings. Date Range: To test over specific market conditions. Initial Capitol: $10K - This is a more realistic representation of funds used this strategy (for me anyway). The default of $100K can give different results (usually better) than when using a smaller balance. Order Size: 100% Equity - These trend following strategies typically used this way, going all in each direction. Commission: .075% - It's always disheartening to think you've found a ridiculously good setting, and then realize you forgot to add the commission. All of these settings can be changed, but it's easier for me (and more fool proof) to have them set as default.