Tecnicalanalysis — Indicators and Strategies

Zero Lag Liquidity [AlgoAlpha]🟠 OVERVIEW This script plots liquidity zones with zero lag using lower-timeframe wick profiles and high-volume wicks to mark key price reactions. It’s called Zero Lag Liquidity because it captures significant liquidity imbalances in real time by processing lower-TF price-volume distributions directly inside the wick of abnormal candles. The tool builds a volume histogram inside long upper/lower wicks, then calculates a local Point of Control (POC) to mark the price where most volume occurred. These levels act as visual liquidity zones, which can trigger labels, break signals, and trend detection depending on price interaction. 🟠 CONCEPTS The core concept relies on identifying high-volume candles with unusually long wicks—often a sign of opposing liquidity. When a large upper or lower wick appears with a strong volume spike, the script builds a histogram of lower-timeframe closes and volumes inside that wick. It bins the wick into segments, sums volume per bin, and finds the POC. This POC becomes the liquidity level. The script then dynamically tracks whether price breaks above or rejects off these levels, adjusts the active trend regime accordingly, and highlights bars to help users spot continuation or reversal behavior. The logic avoids repainting or subjective interpretation by using fixed thresholds and lower-TF price action. 🟠 FEATURES Dynamic liquidity levels rendered at POC of significant wicks, colored by bullish/bearish direction. Break detection that removes levels once price decisively crosses them twice in the same direction. Rejection detection that plots ▲/▼ markers when price bounces off levels intrabar. Volume labels for each level, shown either as raw volume or percentage of total level volume. Candle coloring based on trend direction (break-dominant). 🟠 USAGE Use this indicator to track where liquidity has most likely entered the market via abnormal wick events. When a long wick forms with high volume, the script looks inside it (using your chosen lower timeframe) and marks the most traded price within it. These levels can serve as expected reversal or breakout zones. Rejections are marked with small arrows, while breaks trigger trend shifts and remove the level. You can toggle trend coloring to see directional bias after a breakout. Use the wick multiplier to control how selective the detector is (higher = stricter). Alerts and label modes help customize the signal for different asset types and chart styles.

Super Arma Institucional PRO v6.3 Super Arma Institucional PRO v6.3 Description Super Arma Institucional PRO v6.3 is a multifunctional indicator designed for traders looking for a clear and objective analysis of the market, focusing on trends, key price levels and high liquidity zones. It combines three essential elements: moving averages (EMA 20, SMA 50, EMA 200), dynamic support and resistance, and volume-based liquidity zones. This integration offers an institutional view of the market, ideal for identifying strategic entry and exit points. How it Works Moving Averages: EMA 20 (orange): Sensitive to short-term movements, ideal for capturing fast trends. SMA 50 (blue): Represents the medium-term trend, smoothing out fluctuations. EMA 200 (red): Indicates the long-term trend, used as a reference for the general market bias. Support and Resistance: Calculated based on the highest and lowest prices over a defined period (default: 20 bars). These dynamic levels help identify zones where the price may encounter barriers or supports. Liquidity Zones: Purple rectangles are drawn in areas of significantly above-average volume, indicating regions where large market participants (institutional) may be active. These zones are useful for anticipating price movements or order absorption. Purpose The indicator was developed to provide a clean and institutional view of the market, combining classic tools (moving averages and support/resistance) with modern liquidity analysis. It is ideal for traders operating swing trading or position trading strategies, allowing to identify: Short, medium and long-term trends. Key support and resistance levels to plan entries and exits. High liquidity zones where institutional orders can influence the price. Settings Show EMA 20 (true): Enables/disables the 20-period EMA. Show SMA 50 (true): Enables/disables the 50-period SMA. Show EMA 200 (true): Enables/disables the 200-period EMA. Support/Resistance Period (20): Sets the period for calculating support and resistance levels. Liquidity Sensitivity (20): Period for calculating the average volume. Minimum Liquidity Factor (1.5): Multiplier of the average volume to identify high liquidity zones. How to Use Moving Averages: Crossovers between the EMA 20 and SMA 50 may indicate short/medium-term trend changes. The EMA 200 serves as a reference for the long-term bias (above = bullish, below = bearish). Support and Resistance: Use the red (resistance) and green (support) lines to identify reversal or consolidation zones. Liquidity Zones: The purple rectangles highlight areas of high volume, where the price may react (reversal or breakout). Consider these zones to place orders or manage risks. Adjust the parameters according to the asset and timeframe to optimize the analysis. Notes The chart should be configured only with this indicator to ensure clarity. Use on timeframes such as 1 hour, 4 hours or daily for better visualization of liquidity zones and support/resistance levels. Avoid adding other indicators to the chart to keep the script output easily identifiable. The indicator is designed to be clean, without explicit buy/sell signals, following an institutional approach. This indicator is perfect for traders who want a visually clear and powerful tool to trade based on trends, key levels and institutional behavior.

Smart Money Index + True Strength Index The Smart Money Index + True Strength Index indicator is a combination of two popular technical analysis indicators: the Smart Money Index (SMI) and the True Strength Index (TSI). This combined indicator helps traders identify potential entry points for long and short positions based on signals from both indexes. Main Components: Smart Money Index (SMI): The SMI measures the difference between the closing and opening price of a candle multiplied by the trading volume over a certain period of time. This allows you to assess the activity of large players ("smart money") in the market. If the SMI value is above a certain threshold (smiThreshold), it may indicate a bullish trend, and if lower, it may indicate a bearish trend. True Strength Index (TSI): The TSI is an oscillator that measures the strength of a trend by comparing the price change of the current bar with the previous bar. It uses two exponential moving averages (EMAS) to smooth the data. TSI values can fluctuate around zero, with values above the overbought level indicating a possible downward correction, and values below the oversold level signaling a possible upward correction. Parameters: SMI Length: Defines the number of candles used to calculate the average SMI value. The default value is 14. SMI Threshold: A threshold value that is used to determine a buy or sell signal. The default value is 0. Length of the first TSI smoothing (tsiLength1): The length of the first EMA for calculating TSI. The default value is 25. Second TSI smoothing length (tsiLength2): The length of the second EMA for additional smoothing of TSI values. The default value is 13. TSI Overbought level: The level at which the market is considered to be overbought. The default value is 25. Oversold level TSI: The level at which it is considered that the market is in an oversold state. The default value is -25. Logic of operation: SMI calculation: First, the difference between the closing and opening price of each candle (close - open) is calculated. This difference is then multiplied by the trading volume. The resulting product is averaged using a simple moving average (SMA) over a specified period (smiLength). Calculation of TSI: The price change relative to the previous bar is calculated (close - close ). The first EMA with the length tsiLength1 is applied. Next, a second EMA with a length of tsiLength2 is applied to obtain the final TSI value. The absolute value of price changes is calculated in the same way, and two emas are also applied. The final TSI index is calculated as the ratio of these two values multiplied by 100. Graphical representation: The SMI and TSI lines are plotted on the graph along with their respective thresholds. For SMI, the line is drawn in orange, and the threshold level is dotted in gray. For the TSI, the line is plotted in blue, the overbought and oversold levels are indicated by red and green dotted lines, respectively. Conditions for buy/sell signals: A buy (long) signal is generated when: SMI is greater than the threshold (smi > smiThreshold) TSI crosses the oversold level from bottom to top (ta.crossover(tsi, oversold)). A sell (short) signal is generated when: SMI is less than the threshold (smi < smiThreshold) TSI crosses the overbought level from top to bottom (ta.crossunder(tsi, overbought)). Signal display: When the conditions for a long or short are met, labels labeled "LONG" or "SHORT" appear on the chart. The label for the long is located under the candle and is colored green, and for the short it is above the candle and is colored red. Notification generation: The indicator also supports notifications via the TradingView platform. Notifications are sent when conditions arise for a long or short position. This combined indicator provides the trader with the opportunity to use both SMI and TSI signals simultaneously, which can improve the accuracy of trading decisions.

Liquidity Spike Pool The “Liquidity Pools” indicator is a tool for market analysts that stands out for its ability to clearly project the intricate zones of manipulation present in financial markets. These crucial territories emerge when supply or demand takes over, resulting in long shadows (wicks) on the chart candles. Imagine these regions as "magnets" for prices, as they represent authentic "liquidity pools" where the flow of money into the market is significantly concentrated. But the value of the indicator goes beyond this simple visualization: these zones, when identified and interpreted correctly, can play a crucial role for traders looking for profitable entry points. They can mutate into important bastions of support or resistance, providing traders with key anchor points to make informed decisions within their trading strategies. A key aspect to consider is the importance of different time frames in analyzing markets. Larger time frames, such as daily or 4h, tend to host larger and more relevant liquidity zones. Therefore, a successful strategy might involve identifying these areas of manipulation over longer time frames through the use of this indicator, and then applying these findings to shorter time frames. This approach allows you to turn manipulation zones into crucial reference points that merit constant surveillance while making trading decisions on shorter time frames. The indicator uses color to convey information clearly and effectively: - Dark blue lines highlight candles with significant upper wick, signaling the possible presence of an important manipulation area in the considered area. - Dark red lines are reserved for sizable candlesticks with significant upper wick, emphasizing situations that are particularly relevant to traders. - Dark gray lines highlight candles with significant lower wick, providing a valuable indication of manipulation zones where the bid may have prevailed. - White lines highlight sizable candlesticks with significant lower wick, clearly indicating situations where demand has been predominant and may have helped form a liquidity pool. This indicator constitutes an important resource for identifying and clearly displaying candles with significant wicks, allowing traders to distinguish between ordinary market conditions and circumstances particularly relevant to their trading strategies. Thanks to the distinctive colors of the lines, the indicator offers intuitive visual guidance, allowing traders to make more informed decisions while carrying out their analyses.

Ta Strategy Hello guys This script follows traditional technical indicators MACD, ADX, RSI and pivot points If the price is above the resistance and the MACD has crossover ,and the RSI 14 is above 50 ADX is higher than 20, and DI+ is higher than DI-. This is a buy signal and vice versa for a sell signal The script moves the stop loss to the entry price after the first target is reached You can specify the quantity you want to sell when the price reaches the first target There are also options like if you want the script to entry long or short, or both you can reverse the strategy if it does not work well If you want to inquire about any details, please let me know in the comments

Manual Backtest - Flat the Chart This script is an utility tool for manual backtesting. The main problem in backtesting a discretionary strategy is the bias of knowing the future result of the market, in this way all the market will be crushed into a flat line, this way you can avoid bias. The way to use this indicator is easy and made by 4 step: Step 1 : add to an asset you won't backtest and put the auto scale on Step 2 : go to the asset you will backtest and scroll left until the date you want to start Step 3 : use the replay function of tradingview (15 min chart won't go back more than 18 month) Step 4: toggle off the indicator or remove from the chart (untill next asset to backtest) That's not a complex indicator but is what you need to do a fair backtesting

MACD MOMENTUM STRATEGY Hey, First of I'm not so familiar with Pine Editor, yet. But a do need some help with a trick thing I*ve been working on. As you can see I*ve merge the MACD and the MOMENTUM indicators in the same "chart" this have been working pretty well for me as a trading strategy. But now a chat tho create a real strategy with Pine Editor based on the same data. The thing is that I can't seem tho get the MOMENTUM indicator to and the MACD indicator in the same (different) scale in my strategy as when I merge them. I suspect this got something to do with my chose of source för the MOMENTUM indicator, but I'm not 100. I would be grateful for all kinds of feedback and tips for a solutions on this. Thanks.