Emastrategy — אינדיקטורים ואסטרטגיות

Kinetic EMA & Volume with State Engine Kinetic EMA & Volume with State Engine (EMVOL) 1. Introduction & Concept The EMVOL indicator converts a dense family of EMA signals and volume flows into a compact “state engine”. Instead of looking at individual EMA lines or simple crossovers, the script treats each EMA as part of a kinetic vector field and classifies the market into interpretable states: - Trend direction and strength (from a grid of prime‑period EMAs). - Volume regime (expansion, contraction, climax, dry‑up). - Order‑flow bias via delta (buy versus sell volume). - A combined scenario label that summarises how these three layers interact. The goal is educational: to help traders see that moving averages and volume become more meaningful when observed as a structure, not as isolated lines. EMVOL is therefore designed as a real‑time teaching tool, not as an automatic signal generator. 2. Volume Settings Group: “Volume Settings” A. Calculation Method - Geometry (Source File) – Default mode. Buy and sell volume are estimated from each candle’s geometry: the close is compared to the high/low range and the bar’s total volume is split proportionally between buyers and sellers. This approximation works on any TradingView plan and does not require lower‑timeframe data. - Intrabar (Precise) – Reconstructs buy/sell volume using a lower timeframe via requestUpAndDownVolume(). The script asks TradingView for historical intrabar data (e.g., 15‑second bars) and builds buy/sell volume and delta from that stream. This mode can produce a more accurate view of order flow, but coverage is limited by your account’s history limits and the symbol’s available lower‑timeframe data. B. Intrabar Resolution (If Precise) - Intrabar Resolution (If Precise) – Selected only when the calculation method is “Intrabar (Precise)”. It defines which lower timeframe (for example 15S, 30S, 1m) is used to compute up/down volume. Smaller intrabar timeframes may give smoother and more granular deltas, but require more historical depth from the platform. When “Intrabar (Precise)” is active, the dashboard’s extended section shows the resolution and the number of bars for which precise volume has been successfully retrieved, in the format: - Mode: Intrabar (15S) – where N is the count of bars with valid high‑resolution volume data. In Geometry mode this counter simply reflects the processed bars in the current session. 3. Kinetic Vector Settings Group: “Kinetic Vector” A. Vector Window - Vector Window – Controls the temporal smoothing applied to the aggregated vectors (trend, volume, delta, etc.). Internally, each bar’s vector value is averaged with a simple moving window of this length. - Shorter windows make the state engine more reactive and sensitive to local swings. - Longer windows make the states more stable and better suited to higher‑timeframe structure. B. Max Prime Period - Max Prime Period – Sets the largest prime number used in the EMA grid. The engine builds a family of EMAs on prime lengths (2, 3, 5, 7, …) up to this limit and converts their slopes into angles. - A higher limit increases the number of long‑horizon EMAs in the grid and makes the vectors sensitive to broader structure. - A lower limit focuses the analysis on short- and medium‑term behaviour. C. Price Source - Price Source – The price series from which the kinetic EMA grid is built (e.g., Close, HLC3, OHLC4). Changing the source modifies the context that the state engine is reading but does not change the core logic. 4. State Engine Settings Group: “State Engine Settings” These inputs define how the continuous vectors are translated into discrete states. A. Trend Thresholds - Strong Trend Threshold – Value above which the trend vector is treated as “extreme bullish” and below which it is “extreme bearish”. - Weak Trend Threshold – Inner boundary between neutral and directional conditions. Roughly: - |trend| < weak → Neutral trend state. - weak < |trend| ≤ strong → Bullish/Bearish. - |trend| > strong → Extreme Bullish/Extreme Bearish. B. Volume Thresholds - Volume Climax Threshold – Upper bound at which volume is considered “climax” (unusually expanded participation). - Volume Expansion Threshold – Boundary for normal expansion versus contraction. Conceptually: - Volume above “expansion” indicates increasing activity. - Volume near or above “climax” marks extreme participation. - Negative values below the symmetric thresholds map to contraction and extreme dry‑up (liquidity vacuum) states. C. Delta Thresholds - Strong Delta Threshold – Cut‑off for extreme buying or selling dominance in delta. - Weak Delta Threshold – Threshold for mild buy/sell bias versus neutral order flow. Combined with the sign of the delta vector, these thresholds classify order flow as: - Extreme Buy, Buy‑Dominant, Neutral, Sell‑Dominant, Extreme Sell. D. State Hysteresis Bars - State Hysteresis Bars – Minimum number of bars for which a new state must persist before the engine commits to the change. This prevents the dashboard from flickering during fast spikes and emphasises persistent market behaviour. - Smaller values switch states quickly; larger values demand more confirmation. 5. Visual Interface Group: “Visual Interface” A. Ribbon Base Color - Ribbon Base Color – Base hue for the multi‑layer EMA ribbon drawn around price. The script plots a dense grid of hidden EMAs and fills the gaps between them to form a semi‑transparent band. Narrow, overlapping bands hint at compression; wider separation hints at dispersion across EMA horizons. B. Show Dashboard - Show Dashboard – Toggles the on‑chart table which summarises the current state engine output. Disable this if you only want to keep the EMA ribbon and volume‑based structure on the price chart. C. Color Theme - Color Theme – Switch between a dark and light style for the dashboard background and text colours so that the table matches your chart theme. D. Table Position - Table Position – Places the dashboard at any corner or edge of the chart (Top / Middle / Bottom × Left / Centre / Right). E. Table Size - Table Size – Changes the dashboard’s text size (Tiny, Small, Normal, Large). Use a larger size on high‑resolution screens or when streaming. F. Show Extended Info - Show Extended Info – Adds diagnostic rows under the main state summary: - Mode / Primes / Vector – Shows the current calculation mode (Geometry / Intrabar), the selected intrabar resolution and coverage in bars ( ), how many prime periods are active, and the vector window. - Values – Displays the current aggregated vectors: - P: price vector - V: volume vector - B: buy‑volume vector - S: sell‑volume vector - D: delta vector Values are bounded between ‑1 and +1. - Volume Stats – Prints the last bar’s raw buy volume, sell volume and delta as formatted numbers. - Footer – A final row with the symbol and current time: #SYMBOL | HH:MM. These extended rows are meant for inspecting how the engine is behaving under the hood while you scroll the chart and compare different assets or timeframes. 6. Language Settings Group: “Language Settings” - Select Language – Switches the entire dashboard between English and Turkish. The underlying calculations and scenario logic are identical; only the labels, titles and comments in the table are translated. 7. Dashboard Structure & Reading Guide The table summarises the current situation in a few rows: 1. System Header – Shows the script name and the active calculation method (“Geometry” or “Intrabar”). 2. Scenario Title – High‑level description of the current combined scenario (e.g., “Trending Buy Confirmed”, “Sideways Balanced”, “Bull Trap”, “Blow‑Off Top”). The background colour is derived from the scenario family (trending, compression, exhaustion, anomaly, etc.). 3. Bias / Trend Line – States the dominant trend bias derived from the trend vector (Extreme Bullish, Bullish, Neutral, Bearish, Extreme Bearish). 4. Signal / Consideration Line – A short sentence giving qualitative guidance about the current state (for example: continuation risk, exhaustion risk, trap‑like behaviour, or compression). This is deliberately phrased as a consideration, not as a direct trading signal. 5. Trend / Volume / Delta Rows – Three separate rows explain, in plain language, how the trend, volume regime and delta are classified at this bar. 6. Extended Info (optional) – Mode / primes / vector settings, current vector values, and last‑bar volume statistics, as described above. Together, these rows are meant to be read as a narrative of what price, volume and order‑flow are doing, not as mechanical instructions. 8. State Taxonomy The state engine organizes market behaviour in three stages. 8.1 Trend States (from the Price Vector) - Extreme Bullish Trend – The prime‑grid price vector is strongly upward; most EMAs are aligned to the upside. - Bullish Trend – Upward bias is present, but less extreme. - Neutral Trend – EMAs are mixed or flat; price is effectively sideways relative to the grid. - Bearish Trend – Downward bias, with the EMA grid sloping down. - Extreme Bearish Trend – Strong downside alignment across the grid. 8.2 Volume Regime States (from the Volume Vector) - Volume Climax (Buy‑Side) – Strong positive volume vector; participation is unusually high in the current direction. - Volume Expansion – Activity above normal but below the climax threshold. - Neutral Volume – No major expansion or contraction versus recent history. - Volume Contraction – Activity is drying up compared with the past. - Extreme Dry‑Up / Liquidity Vacuum – Very low participation; the market is thin and prone to slippage. 8.3 Delta Behaviour States (from the Delta Vector) - Extreme Buy Delta – Buying pressure dominates strongly. - Buy‑Dominant Delta – Buy volume exceeds sell volume, but not at an extreme. - Neutral Delta – Buy and sell flows are roughly balanced. - Sell‑Dominant Delta – Selling pressure dominates. - Extreme Sell Delta – Aggressive, one‑sided selling. 8.4 Combined Scenario State s EMVOL uses the three base states above to generate a single scenario label. These scenarios are designed to be read as context, not as entry or exit signals. Trending Scenarios 1. Trending Buy Confirmed - Bullish or extreme bullish trend, supported by expanding or climax volume and buy‑side delta. - Educational idea: a healthy uptrend where both participation and order flow agree with the direction. 2. Trending Buy – Weak Volume - Bullish trend, but volume is neutral, contracting or in dry‑up while delta is still buy‑side. - Educational idea: price is advancing, yet participation is thinning; trend continuation becomes more fragile. 3. Trending Sell Confirmed - Bearish or extreme bearish trend, with expanding or climax volume and sell‑side delta. - Educational idea: strong downtrend with both volume and order‑flow confirmation. 4. Trending Sell – Weak Volume - Bearish trend, but volume is neutral, contracting or very low while delta remains sell‑side. - Educational idea: downside continues but with limited participation; vulnerable to short‑covering. Sideways / Range Scenarios 5. Sideways Balanced - Neutral trend, neutral delta, neutral volume. - Classic range environment; low directional edge, suitable for observation and context rather than trend trading. 6. Sideways with Buy Pressure - Neutral trend, but buy‑side delta is dominant or extreme. - Range with latent accumulation: price may still appear sideways, but buyers are quietly more active. 7. Sideways with Sell Pressure - Neutral trend with dominant or extreme sell‑side delta. - Distribution‑like environment where price chops while sellers are gradually more aggressive. Exhaustion & Volume Extremes 8. Exhaustion – Buy Risk - Extreme bullish trend, volume climax and strong buy‑side delta. - Educational idea: very strong up‑move where both participation and delta are already stretched; risk of exhaustion or blow‑off. 9. Exhaustion – Sell Risk - Extreme bearish trend, volume dry‑up and strong sell‑side delta. - Suggests one‑sided selling into increasingly thin liquidity. 10. Volume Climax (Buy) - Neutral trend, neutral delta, but volume at climax levels. - Often associated with a “big event” bar where participation spikes without a clear directional commitment. 11. Volume Climax (Sell / Dry‑Up) - Neutral trend and neutral delta, while the volume vector indicates an extreme dry‑up. - Highlights a stand‑still episode: very limited interest from both sides, increasing the sensitivity to future impulses. Divergences 12. Divergence – Bullish Context - Bullish or extreme bullish trend, but delta has faded back to neutral. - Price trend continues while order‑flow conviction softens; can precede pauses or complex corrections. 13. Divergence – Bearish Context - Bearish or extreme bearish trend with a neutral delta. - Downtrend persists, but selling pressure no longer dominates as clearly. Consolidation & Compression 14. Consolidation - Default state when no specific pattern dominates and the market is broadly balanced. - Educational use: treat this as a “no strong edge” label; focus on structure rather than direction. 15. Breakout Imminent - Neutral trend with contracting volume. - Compression phase where energy is building up; often precedes transitions into trending or shock scenarios. Traps & Hidden Divergences 16. Bull Trap - Bullish trend, with neutral or contracting volume and sell‑side delta. - Price appears strong, but order‑flow shifts against it; often seen near fake breakouts or failing rallies. 17. Bear Trap - Bearish trend, neutral or contracting volume, but buy‑side delta. - Downtrend “looks” intact, while buyers become more aggressive underneath the surface. 18. Hidden Bullish Divergence - Bullish trend, contracting volume, but strong buy‑side delta. - Educational idea: price dips or slows while aggressive buyers step in, often inside an ongoing uptrend. 19. Hidden Bearish Divergence - Bearish trend, volume expansion and strong sell‑side delta. - Reinforced downside pressure even if price is temporarily retracing. Reversal & Transition Patterns 20. Reversal to Bearish - Neutral trend, volume climax and strong sell‑side delta. - Suggests that heavy selling appears at the top of a move, turning a previously neutral or rising context into potential downside. 21. Reversal to Bullish - Neutral trend, extreme volume dry‑up and strong buy‑side delta. - Often associated with selling exhaustion where buyers start to take control. 22. Indecision Spike - Neutral trend with extreme volume (climax or dry‑up) but neutral delta. - Crowd participation changes sharply while order‑flow remains undecided; treat as an informational spike rather than a direction. Extended Compression & Acceleration 23. Coiling Phase - Neutral trend, contracting volume, and delta that is neutral or only mildly one‑sided. - Extended compression where price, volume and delta all contract into a tightly coiled range, often preceding a strong move. 24. Bullish Acceleration - Bullish trend with volume expansion and strong buy‑side delta. - Uptrend not only continues but gains kinetic strength; educationally, this illustrates how trend, volume and delta align in the strongest phases of a move. 25. Bearish Acceleration - Bearish trend with volume expansion and strong sell‑side delta. - Mirror image of Bullish Acceleration on the downside. Trend Exhaustion & Climax Reversal 26. Bull Exhaustion - Bullish or extreme bullish trend, with contraction or dry‑up in volume and buy‑side or neutral delta. - The move has already travelled far; participation fades while price is still elevated. 27. Bear Exhaustion - Bearish or extreme bearish trend, with volume climax or contraction and sell‑side or neutral delta. - Down‑move may be approaching a point where additional selling pressure has diminishing impact. 28. Blow‑Off Top - Extreme bullish trend, volume climax and extreme buy delta all at once. - Classic blow‑off behaviour: price, volume and order‑flow are simultaneously stretched in the same direction. 29. Selling Climax Reversal - Extreme bearish trend with extreme volume dry‑up and extreme sell‑side delta. - Marks a very aggressive capitulation phase that can precede major rebounds. Advanced VSA / Anomaly Scenarios 30. Absorption - Typically neutral trend with expanding or climax volume and extreme delta (either buy or sell). - Educational focus: large participants are aggressively absorbing liquidity from the opposite side, while price remains relatively contained. 31. Distribution - Scenario where volume remains elevated while directional conviction weakens and the trend slows. - Represents potential “selling into strength” or “buying into weakness”, depending on the active side. 32. Liquidity Vacuum - Combination of thin liquidity (extreme dry‑up) with a directional trend or strong delta. - Highlights environments where even small orders can move price disproportionately. 33. Anomaly / Shock Event - Triggered when the vector z‑scores detect rare combinations of price, volume and delta behaviour that deviate from their own historical distribution. - Intended as a warning label for unusual events rather than a specific tradeable pattern. 9. Educational Usage Notes - EMVOL does not produce mechanical “buy” or “sell” commands. Instead, it classes each bar into an interpretable state so that traders can study how trends, volume and order‑flow interact over time. - A common exercise is to overlay your usual EMA crossovers, support/resistance or price patterns and observe which EMVOL scenarios appear around entries, exits, traps and climaxes. - Because the vectors are normalized (bounded between ‑1 and +1) and then discretized, the same conceptual states can be compared across different symbols and timeframes. 10. Disclaimer & Educational Purpose This indicator is provided strictly as an educational and analytical tool. Its purpose is to help visualise how price, volume and order‑flow interact; it is not designed to function as a stand‑alone trading system. Please note: 1. No Automated Strategy – The script does not implement a complete trading strategy. Scenario labels and dashboard messages are descriptive and should not be followed as unconditional entry or exit signals. 2. No Financial Advice – All information produced by this indicator is general market analysis. It must not be interpreted as investment, financial or trading advice, or as a recommendation to buy or sell any instrument. 3. Risk Warning – Trading and investing involve substantial risk, including the risk of loss. Always perform your own analysis, use appropriate position sizing and risk management, and consult a qualified professional if needed. You are solely responsible for any decisions made using this tool. 4. Data Precision & Platform Limits – The “Intrabar (Precise)” mode depends on the availability of high‑resolution historical data at the chosen intrabar timeframe. If your TradingView plan or the symbol’s history does not provide sufficient depth, this mode may only partially cover the visible chart. In such cases, consider switching to “Geometry (Source File)” for a fully populated view.

300/200 EMA Spread Heatmap Highlights the difference between 300 and 200 EMA to indicated potential over extensions in breakout structures.

Best MA Pair Finder (Crossover Strategy)This indicator automatically identifies the optimal pair of moving averages (MAs) for a crossover strategy using all available historical data. It offers several MA options—including SMA, EMA, and TEMA—allowing users to select the desired type in the settings. The indicator supports two strategy modes: “Long Only” and “Buy & Sell”, which can be chosen via the options. For each MA pair combination, the indicator performs a backtest and calculates the profit factor, considering only those pairs where the total number of trades meets or exceeds the user-defined "Minimum Trades" threshold. This parameter ensures that the selected optimal pair is based on a statistically meaningful sample rather than on a limited number of trades. The results provided by this indicator are based on historical data and backtests, which may not guarantee future performance. Users should conduct their own analysis and use proper risk management before making trading decisions.

Dysmen signals Dysmen Signals Indicator The "Dysmen Signals" indicator is designed to provide clear buy and sell signals based on the crossover of various Exponential Moving Averages (EMAs). This indicator employs a combination of short-term and long-term EMA crossovers to identify potential trading opportunities, while also highlighting significant market movements through specific signals such as the Golden Cross and Death Cross. Indicator Components 1. Exponential Moving Averages (EMAs) - EMA 14: A short-term EMA calculated over 14 periods. - EMA 20: Another short-term EMA calculated over 20 periods. - EMA 50: A mid-term EMA used as a trend filter. - EMA 200: A long-term EMA representing the overall trend. 2. Buy and Sell Signals - Buy Signal: This is triggered when the EMA 14 crosses above the EMA 20 and the closing price is above the EMA 50. This suggests a bullish trend in the market. - Sell Signal: This is triggered when the EMA 14 crosses below the EMA 20 and the closing price is below the EMA 50. This indicates a bearish trend in the market. 3. Golden Cross and Death Cross - Golden Cross (GC): Occurs when the EMA 50 crosses above the EMA 200. This is a strong bullish signal indicating a potential long-term upward trend. - Death Cross (DC): Occurs when the EMA 50 crosses below the EMA 200. This is a strong bearish signal suggesting a potential long-term downward trend. 4. Signal Visualization - Buy and Sell signals are marked on the chart with green and red triangles respectively. These signals help traders identify potential entry and exit points. - Golden Cross and Death Cross signals are indicated with yellow and purple diamonds respectively, providing insight into major market trend shifts. 5. Candle Coloring - Candles are colored green if a buy signal is active and red if a sell signal is active. This visual aid helps in quickly identifying the prevailing market sentiment. 6. EMA 200 Plotting - The EMA 200 is plotted as a white, semi-thick line on the chart. This line serves as a reference for the overall long-term trend. Detailed Code Explanation - EMA Calculations: The script calculates the EMA for 14, 20, 50, and 200 periods using the ta.ema function. - Crossover Conditions: It uses the ta.crossover and ta.crossunder functions to detect when the EMAs cross each other, triggering buy and sell signals. - Plotting Signals: The plotshape function is utilized to display BUY and SELL signals as well as Golden Cross and Death Cross signals on the chart. - Candle Coloring Logic: A variable direction is used to store the current market direction based on the latest signal, which then determines the candle colors using the barcolor function. - EMA 200 Display: The plot function is used to draw the EMA 200 line on the chart with the specified color and thickness. By employing this indicator, traders can gain valuable insights into potential market trends and make more informed trading decisions based on the crossover of key EMAs.

Long EMA Strategy with Advanced Exit Options This 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.

Bollinger Bands + EMA 9 A 1 minute scalping strategy. Uses Bollinger Bands (no basis line) and a 9 period EMA. Waits for price to close below the lower Bollinger Band and the next candle to close bullish above the lower Bollinger Band but below the 9 Period EMA. If all conditions are met, the script enters a long position with TP at the 9 Period EMA.