Supplydemandanalytics — Indicators and Strategies

Liquidity Price Depth Chart [LuxAlgo]The Liquidity Price Depth Chart is a unique indicator inspired by the visual representation of order book depth charts, highlighting sorted prices from bullish and bearish candles located on the chart's visible range, as well as their degree of liquidity. Note that changing the chart's visible range will recalculate the indicator. 🔶 USAGE The indicator can be used to visualize sorted bullish/bearish prices (in descending order), with bullish prices being highlighted on the left side of the chart, and bearish prices on the right. Prices are highlighted by dots, and connected by a line. The displacement of a line relative to the x-axis is an indicator of liquidity, with a higher displacement highlighting prices with more volume. These can also be easily identified by only keeping the dots, visible voids can be indicative of a price associated with significant volume or of a large price movement if the displacement is more visible for the price axis. These areas could play a key role in future trends. Additionally, the location of the bullish/bearish prices with the highest volume is highlighted with dotted lines, with the returned horizontal lines being useful as potential support/resistances. 🔹 Liquidity Clusters Clusters of liquidity can be spotted when the Liquidity Price Depth Chart exhibits more rectangular shapes rather than "V" shapes. The steepest segments of the shape represent periods of non-stationarity/high volatility, while zones with clustered prices highlight zones of potential liquidity clusters, that is zones where traders accumulate positions. 🔹 Liquidity Sentiment At the bottom of each area, a percentage can be visible. This percentage aims to indicate if the traded volume is more often associated with bullish or bearish price variations. In the chart above we can see that bullish price variations make 63.89% of the total volume in the range visible range. 🔶 SETTINGS 🔹 Bullish Elements Bullish Price Highest Volume Location: Shows the location of the bullish price variation with the highest associated volume using one horizontal and one vertical line. Bullish Volume %: Displays the bullish volume percentage at the bottom of the depth chart. 🔹 Bearish Elements Bearish Price Highest Volume Location: Shows the location of the bearish price variation with the highest associated volume using one horizontal and one vertical line. Bearish Volume %: Displays the bearish volume percentage at the bottom of the depth chart. 🔹 Misc Volume % Box Padding: Width of the volume % boxes at the bottom of the Liquidity Price Depth Chart as a percentage of the chart visible range

Bitcoin Limited Growth Model The Bitcoin Limeted Growth is a model proposed by QuantMario that offers an alternative approach to estimating Bitcoin's price based on the Stock-to-Flow (S2F) ratio. This model takes into account the limitations of the traditional S2F model and introduces refinements to enhance its analysis. The S2F model is commonly used to analyze Bitcoin's price by considering the scarcity of the asset, measured by the stock (existing supply) relative to the flow (new supply). However, the LGS-S2F Bitcoin Price Formula recognizes the need for improvements and presents an updated perspective on Bitcoin's price dynamics. Invalidation of the Normal S2F Model: The normal S2F model has faced criticisms and challenges. One of the limitations is its assumption of a linear relationship between the S2F ratio and Bitcoin's price, overlooking potential nonlinearities and other market dynamics. Additionally, the normal S2F model does not account for external influences, such as market sentiment, regulatory developments, and technological advancements, which can significantly impact Bitcoin's price. Addressing the Issues: The LGS-S2F Bitcoin Price Formula introduces refinements to address the limitations of the traditional S2F model. These refinements aim to provide a more comprehensive analysis of Bitcoin's price dynamics: Nonlinearity: The LGS-S2F model recognizes that the relationship between the S2F ratio and Bitcoin's price may not be linear. It incorporates a logistic growth function that considers the diminishing returns of scarcity and the saturation of market demand. Data Analysis: The LGS-S2F model employs statistical analysis and data-driven techniques to validate its predictions. It leverages historical data and econometric modeling to support its analysis of Bitcoin's price. Utility: The LGS-S2F Bitcoin Price Formula offers insights for traders and investors in the cryptocurrency market. By incorporating a more refined approach to analyzing Bitcoin's price, this model provides an alternative perspective. It allows market participants to consider various factors beyond the S2F ratio alone, potentially aiding in their decision-making processes. Key Features: Adjustable Coefficients Sigma calculation methods: Normal or Stdev Credit: The LGS-S2F Bitcoin Price Formula was developed by QuantMario, who has contributed to the field of cryptocurrency analysis through their research and modeling efforts.

Supply and Demand Based Pattern [RH]This indicator focuses on detecting RBR and DBD patterns, which signify periods of increased momentum and potential continuation or reversal of the prevailing trend. The RBR pattern consists of a rally (upward movement), followed by a base (consolidation or retracement), and then another rally. It suggests that the upward momentum may persist and provide trading opportunities. On the other hand, the DBD pattern comprises a drop (downward movement), followed by a base, and then another drop. It indicates that the downward momentum might continue, offering potential shorting opportunities. Bullish(RBR) example: Bearish(DBD) example: 1. The bullish (RBR) and bearish (DBD) patterns share the same underlying logic, only differing in their directionality. 2. For both RBR and DBD patterns, the first rise/drop can consist of one or multiple candles. However, in the case of multiple candles, all candles must exhibit a bullish nature for RBR and a bearish nature for DBD. Example: 3. It is a prerequisite for the first rise/drop to include at least one candle with a defined percentage of health, as determined by the user. 4. The base, following the first rise/drop, may comprise one or multiple candles. Example: 5. To maintain consistency, the base is not allowed to retrace beyond 80%, although this value can be adjusted by the user. 6. Similar to the first rise/drop, the second rise/drop in both RBR and DBD patterns can consist of one or multiple candles. However, all candles within this phase must demonstrate a bullish nature for RBR and a bearish nature for DBD. 7. Confirmation of the bullish (RBR) pattern occurs when a candle closes above the high of the first rise. Conversely, the bearish (DBD) pattern is confirmed when a candle closes below the low of the first drop. Example: Alerts can be set for all bullish and bearish pattern or for the first pattern in the range of similar pattern.

Supply and Demand Visible Range [LuxAlgo]The Supply and Demand Visible Range indicator displays areas & levels on the user's chart for the visible range using a novel volume-based method. The script also makes use of intra-bar data to create precise Supply & Demand zones. 🔶 SETTINGS Threshold %: Percentage of the total visible range volume used as a threshold to set supply/demand areas. Higher values return wider areas. Resolution: Determines the number of bins used to find each area. Higher values will return more precise results. Intra-bar TF: Timeframe used to obtain intra-bar data. 🔶 USAGE The supply/demand areas and levels displayed by the script are aimed at providing potential supports/resistances for users. The script's behavior makes it recalculate each time the visible chart interval/range changes, as such this script is more suited as a descriptive tool. Price reaching a supply (upper) area that might have been tested a few times might be indicative of a potential reversal down, while price reaching a demand (lower) area that might have been tested a few times could be indicative of a potential reversal up. The width of each area can also indicate which areas are more liquid, with thinner areas indicating more significant liquidity. The user can control the width of each area using the Threshold % setting, with a higher setting returning wider areas. The precision setting can also return wider supply/demand areas if very low values are used and has the benefit of improving the script execution time at the cost of precision. The Supply and Demand Zones indicator returns various levels. The solid-colored levels display the average of each area, while dashed colored lines display the weighted averages of each area. These weighted averages can highlight more liquid price levels within the supply/demand areas. Central solid/dashed lines display the average between the areas' averages and weighted averages. 🔶 DETAILS Each supply/demand area is constructed from volume data. The calculation is done as follows: The accumulated volume within the chart visible range is calculated. The chart visible range is divided into N bins of equal width (where N is the resolution setting) Calculation start from the highest visible range price value for the supply area, and lowest value for the demand area. The volume within each bin after the starting calculation level is accumulated, once this accumulated volume is equal or exceed the threshold value ( p % of the total visible range volume) the area is set. Each bin volume accumulation within an area is displayed on the left, this can help indicate how fast volume accumulates within an area. 🔶 LIMITATIONS The script execution time is dependent on all of the script's settings, using more demanding settings might return errors so make sure to be aware of the potential scenarios that might make the script exceed the allowed execution time: Having a chart's visible range including a high number of bars. Using a high number of bins (high resolution value) will increase computation time, this can be worsened by using a high threshold %. Using very low intra-bar timeframe can drastically increase computation time but can also simply throw an error if the chart timeframe is high. Users facing issues can lower the resolution value or use the chart timeframe for intra-bar data.

True Barcolor Heikin Ashi can be useful for understanding trend based on price action but it doesn't take volume in context. Here I have tried to use volume for understanding true bar color and ultimately true trend analysis. It can also help you in not getting trapped in sudden shakeouts. Also, you can use it for averaging of your existing position. Conditions used: Relative closing price Relative volume against previous bar and overall moving average of volume Volume analysis Trend analysis