分形 — 指標和策略

ICT Bread and Butter Sell-Setup ICT Bread and Butter Sell-Setup – TradingView Strategy Overview: The ICT Bread and Butter Sell-Setup is an intraday trading strategy designed to capitalize on bearish market conditions. It follows institutional order flow and exploits liquidity patterns within key trading sessions—London, New York, and Asia—to identify high-probability short entries. Key Components of the Strategy: 🔹 London Open Setup (2:00 AM – 8:20 AM NY Time) The London session typically sets the initial directional move of the day. A short-term high often forms before a downward push, establishing the daily high. 🔹 New York Open Kill Zone (8:20 AM – 10:00 AM NY Time) The New York Judas Swing (a temporary rally above London’s high) creates an opportunity for short entries. Traders fade this move, anticipating a sell-off targeting liquidity below previous lows. 🔹 London Close Buy Setup (10:30 AM – 1:00 PM NY Time) If price reaches a higher timeframe discount array, a retracement higher is expected. A bullish order block or failure swing signals a possible reversal. The risk is set just below the day’s low, targeting a 20-30% retracement of the daily range. 🔹 Asia Open Sell Setup (7:00 PM – 2:00 AM NY Time) If institutional order flow remains bearish, a short entry is taken around the 0-GMT Open. Expect a 15-20 pip decline as the Asian range forms. Strategy Rules: 📉 Short Entry Conditions: ✅ New York Judas Swing occurs (price moves above London’s high before reversing). ✅ Short entry is triggered when price closes below the open. ✅ Stop-loss is set 10 pips above the session high. ✅ Take-profit targets liquidity zones on higher timeframes. 📈 Long Entry (London Close Reversal): ✅ Price reaches a higher timeframe discount array between 10:30 AM – 1:00 PM NY Time. ✅ A bullish order block confirms the reversal. ✅ Stop-loss is set 10 pips below the day’s low. ✅ Take-profit targets 20-30% of the daily range retracement. 📉 Asia Open Sell Entry: ✅ Price trades slightly above the 0-GMT Open. ✅ Short entry is taken at resistance, targeting a quick 15-20 pip move. Why Use This Strategy? 🚀 Institutional Order Flow Tracking – Aligns with smart money concepts. 📊 Precise Session Timing – Uses market structure across London, New York, and Asia. 🎯 High-Probability Entries – Focuses on liquidity grabs and engineered stop hunts. 📉 Optimized Risk Management – Defined stop-loss and take-profit levels. This strategy is ideal for traders looking to trade with institutions, fade liquidity grabs, and capture high-probability short setups during the trading day. 📉🔥

Adaptive Fractal Grid Scalping Strategy This Pine Script v6 component implements an "Adaptive Fractal Grid Scalping Strategy" with an added volatility threshold feature. Here's how it works: Fractal Break Detection: Uses ta.pivothigh and ta.pivotlow to identify local highs and lows. Volatility Clustering: Measures volatility using the Average True Range (ATR). Adaptive Grid Levels: Dynamically adjusts grid levels based on ATR and user-defined multipliers. Directional Bias Filter: Uses a Simple Moving Average (SMA) to determine trend direction. Volatility Threshold: Introduces a new input to specify a minimum ATR value required to activate the strategy. Trade Execution Logic: Places limit orders at grid levels based on trend direction and fractal levels, but only when ATR exceeds the volatility threshold. Profit-Taking and Stop-Loss: Implements profit-taking at grid levels and a trailing stop-loss based on ATR. How to Use Inputs: Customize the ATR length, SMA length, grid multipliers, trailing stop multiplier, and volatility threshold through the input settings. Visuals: The script plots fractal points and grid levels on the chart for easy visualization. Trade Signals: The strategy automatically places buy/sell orders based on the detected fractals, trend direction, and volatility threshold. Profit and Risk Management: The script includes logic for taking profits and setting stop-loss levels to manage trades effectively. This strategy is designed to capitalize on micro-movements during high volatility and avoid overtrading during low-volatility trends. Adjust the input parameters to suit your trading style and market conditions.

Bitcoin Exponential Profit Strategy ### Strategy Description: The **Bitcoin Trading Strategy** is an **Exponential Moving Average (EMA) crossover strategy** designed to identify bullish trends for Bitcoin. 1. **Indicators**: - **Fast EMA (default 9 periods)**: Represents the short-term trend. - **Slow EMA (default 21 periods)**: Represents the longer-term trend. 2. **Entry Condition**: - A **bullish crossover** occurs when the Fast EMA crosses above the Slow EMA. - The strategy enters a **long position** with a user-defined order size (default 0.01 BTC). 3. **Exit Conditions**: - **Take Profit**: Closes the position when the profit target is reached (default $100). - **Stop Loss**: Closes the position when the price drops below the stop loss level (default $50). - **Bearish Crossunder**: Closes the position when the Fast EMA crosses below the Slow EMA. 4. **Visual Signals**: - **BUY signals**: Displayed when a bullish crossover occurs. - **SELL signals**: Displayed when a bearish crossunder occurs. This strategy is optimized for trend-following behavior, ensuring positions are aligned with upward-moving trends while managing risk through clear stop-loss and take-profit levels.

IU EMA Channel Strategy IU EMA Channel Strategy Overview: The IU EMA Channel Strategy is a simple yet effective trend-following strategy that uses two Exponential Moving Averages (EMAs) based on the high and low prices. It provides clear entry and exit signals by identifying price crossovers relative to the EMAs while incorporating a built-in Risk-to-Reward Ratio (RTR) for effective risk management. Inputs ( Settings ): - RTR (Risk-to-Reward Ratio): Define the ratio for risk-to-reward (default = 2). - EMA Length: Adjust the length of the EMA channels (default = 100). How the Strategy Works 1. EMA Channels: - High-based EMA: EMA calculated on the high price. - Low-based EMA: EMA calculated on the low price. The area between these two EMAs creates a "channel" that visually highlights potential support and resistance zones. 2. Entry Rules: - Long Entry: When the price closes above the high-based EMA (crossover). - Short Entry: When the price closes below the low-based EMA (crossunder). These entries ensure trades are taken in the direction of momentum. 3. Stop Loss (SL) and Take Profit (TP): - Stop Loss: - For long positions, the SL is set at the previous bar's low. - For short positions, the SL is set at the previous bar's high. - Take Profit: - TP is automatically calculated using the Risk-to-Reward Ratio (RTR) you define. - Example: If RTR = 2, the TP will be 2x the risk distance. 4. Exit Rules: - Positions are closed at either the stop loss or the take profit level. - The strategy manages exits automatically to enforce disciplined risk management. Visual Features 1. EMA Channels: - The high and low EMAs are dynamically color-coded: - Green: Price is above the EMA (bullish condition). - Red: Price is below the EMA (bearish condition). - The area between the EMAs is shaded for better visual clarity. 2. Stop Loss and Take Profit Zones: - SL and TP levels are plotted for both long and short positions. - Zones are filled with: - Red: Stop Loss area. - Green: Take Profit area. Be sure to manage your risk and position size properly.

Fractal Proximity MA Aligment Scalping Strategy Fractal Analysis Fractals in trading help identify potential reversal points by marking significant price changes. Our strategy calculates a "fractal value" by comparing the current price to recent high and low fractal points. This is done by evaluating the sum of distances from the current closing price to the recent highs and lows. A positive fractal value suggests proximity to recent lows, hinting at upward momentum. Conversely, a negative value indicates closeness to recent highs, signaling potential downward movement. Moving Averages for Confirmation We use a series of 20 moving averages ranging from 5 to 100 to confirm trend directions indicated by fractal analysis. An entry signal is considered bullish when shorter-term moving averages are all above a long-term moving average, aligning with a positive fractal value. Exit Strategy The strategy employs dynamic stop-loss levels set at various moving averages, allowing for partial exits when the price crosses below specific thresholds. This helps manage the trade by locking in profits gradually. A full exit might be triggered by strong reversal signals suggested by both fractal values and moving average trends. This open-source strategy is available for the community to test, adapt, and utilize. Your feedback and modifications are welcome as we refine the approach based on collective user experiences.

VRS (Vegas Reversal Strategy)It is based on the reversal of the price after an accentuated volatility of the previous day. It is tested only on BTC, TF Day, and has an activation value equal to a spike of minimum 2.4% amplitude, a value that I have left in the settings free to be modified if it is found valid for other assets. In the settings you can change how many of the latest longs or shorts I want to view in the past, colors and various aesthetics. When the system detects a spike at the end of the day from 2.4% onwards it will signal the direction of Reversal, generating the 3 TP, dotted lines. Entry into the market must be done at the close of the candle day, unfortunately at night time if you want to enter on the tick. Stop above/below the spike that generated the condition. If the Day2 candle closes FULL inside the spike, immediate and early closing of the operation. There cannot be two consecutive Day events: if you are Long or Short and have taken a stop on the next candle, even if the latter generates another entry, this must not be activated. TP 1 and 2 are both mandatory at 33% of the position, TP3, based on the current movement, can be considered to be left to run to the bitter end or in any case to structuring confirmations of a slowdown in the price. Upon reaching TP1 it is mandatory to move the STOP to even. In the event of the presence of extremely strong directional movements, for example Long direction, an opposite activation, Short, must be done but with reduced capital, on the contrary an activation in the same direction as the trend movement can be done with a surcharge. Always pay attention to Money Management and Risk Management. Always manage Risk and Money Management in an adequate, technical and sustainable manner in relation to your capital. A fair exposure per transaction is between 1% and 2% of the capital.

smplondonclinic Strategy Hello my friend! I'm uploading the code for your strategy. I have included a feature in the settings menu called "Entry Direction" that you can use to isolate only longs, only shorts or have both directions at the same time for the backtesting. I have set the strategy to only open 1 position at a time, it will not open a new position unless the previous position is closed. If you want to remove that just let me know. The green/red triangles that you will see plotting on the chart are the potential entry signals, you can turn them off from the style panel in the settings menu. In the inputs tab besides the strategy settings you also have all the relevant parameters for the three indicators used.

3C QFL Mean reversal What is QFL trading strategy? QFL stands for Quickfingersluc, and sometimes it is referred to as the Base Strategy or Mean Reversals. Its main idea is about identifying the moment of panic selling and buying below the base level and utilizing Safety orders. What is Base level or Support Level? Base level or Support Level refers to the lowest price level that was reached before the moment the price started increasing again. At that level, you can notice that buyers of some cryptocurrencies make a strong reaction. In this strategy we can also reverse the strategy and go short. But i must warn you that that is alot riskier. QFL is meant to be used on higher TF's like 1hr, 2hr and 4hr. But this strategy also work well on lower Timeframes. The script also simulates DCA strategy with parameters used in 3commas DCA bots for futures trading. Experiment with parameters to find your trading setup. Beware how large your total leveraged position is and how far can market go before you get liquidated! Do that with the help of futures liquidation calculators you can find online! Included: An internal average price and profit calculating, instead of TV`s native one, which is subject to severe slippage. A graphic interface, so levels are clearly visible and back-test analyzing made easier. Long & Short direction of the strategy. Table display a summary of past trades Vertical colored lines appear when the new maximum deviation from the original price has been reached All the trading happens with total account capital, and all order sizes inputs are expressed in percent.

BTC WaveTrend R:R=1:1.5 In this strategy, I used Wavetrend indicator (Lazy Bear). It is very simple and easy to understanding: Long when Wavetrend1 crossover Wavetrend2 and they are less than a limit value (not buy when price overbought). Stoploss at lowest 3 bar previous. R:R = 1:1,5. About other shortterm strategies for crypto market, you can view my published strategies.

Fractal Breakout Strategy (by ChartArt)This long only strategy determines the price of the last fractal top and enters a trade when the price breaks above the last fractal top. The strategy also calculates the average price of the last fractal tops to get the trend direction. The strategy exits the long trade, when the average of the fractal tops is falling (when the trend is lower highs as measured by fractals). And the user can manually set a time delay of this exit condition. The default setting is a long strategy exit always 3 bars after the long entry condition appeared. In addition as gimmicks the fractals tops can be highlighted (the default is blue) and a line can be drawn based on the fractal tops.This fractal top line is colored by the fractal top average trend in combination with the fractal breakout condition. This strategy works better on higher time-frames (weekly and monthly), but it also works on the daily and some other time-frames. This strategy does not repaint, no repainting. P.S. I thank Tradingview user barracuda who helped me with the time based exit condition code. And user RicardoSantos for coding the definition of the fractal top, which he uses in his " Fractals" scripts. All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.