Nqstats — Indicatori e strategie

Daily Floor Pivots Daily Floor Pivots with Comprehensive Statistical Analysis Overview This indicator combines traditional floor pivot levels with golden zone analysis and comprehensive statistical insights derived from 15 years of historical NQ futures data. While the pivot levels and golden zones can be applied to any instrument, the statistical tables are specifically calibrated for NQ/MNQ futures based on analysis of 2,482 NY Regular Trading Hours (RTH) sessions from 2010-2025. What Makes This Indicator Original Unlike standard pivot indicators that merely plot levels, this tool provides: Enhanced Golden Zone Analysis: Calculates not only the main golden zone (0.5-0.618 retracement of previous day's range) but also golden zones between each pivot pair (PP-R1, R1-R2, R2-R3, PP-S1, S1-S2, S2-S3) Data-Driven Statistical Tables: Two comprehensive tables displaying real statistics from 2,482 trading days of NQ analysis, including: Probability-based touch rates and continuation patterns Context-aware statistics based on opening position Gap analysis and behavioral patterns First touch dynamics and time-to-reach averages Granular Customization: Every visual element and statistical section can be independently toggled, allowing traders to focus on what matters most to their strategy How It Works Pivot Calculation Methodology The indicator uses the standard floor pivot formula based on the previous day's price action: Pivot Point (PP) = (Previous High + Previous Low + Previous Close) / 3 Resistance Levels: R1, R2, R3 calculated from PP and previous range Support Levels: S1, S2, S3 calculated from PP and previous range Golden Zone Calculations Main Golden Zone: The 0.5 to 0.618 Fibonacci retracement of the previous day's range, representing a key reversal and continuation area. Inter-Pivot Golden Zones: For each adjacent pivot pair, golden zones are calculated as: Resistance pairs (PP→R1, R1→R2, R2→R3): 0.5-0.618 range from the lower pivot Support pairs (PP→S1, S1→S2, S2→S3): 0.382-0.5 range from the upper pivot These zones represent high-probability areas where price tends to react when moving between pivot levels. Statistical Analysis Source All statistics displayed in the tables are derived from external Python analysis of 15 years of 1-minute NQ futures data (2010-2025), specifically analyzing NY RTH sessions (9:30 AM - 4:00 PM EST). The analysis tracked: 2,482 complete trading days Intraday pivot touches and closes Opening position context Gap behavior relative to previous day Time-of-day patterns Sequential pivot interactions IMPORTANT: While the pivot levels and golden zones are universally applicable mathematical calculations that work on any instrument, the statistical percentages shown in the tables are specific to NQ/MNQ behavior only. Do not assume these statistics transfer to other instruments. Configuration Guide Basic Settings Number of Periods Back (1-20, default: 3) Controls how many historical pivot periods are displayed on the chart Setting to 1 shows only current day's pivots Higher values show more historical context Labels Position (Left/Right) Choose whether pivot labels appear on the left or right side of each level line Line Width (1-5, default: 2) Adjust the thickness of all pivot and golden zone lines Golden Zone Customization Show Daily Golden Zone (0.5-0.618) Toggle the main golden zone on/off When enabled, displays a shaded box between the 0.5 and 0.618 retracement levels Line Color / Fill Color Customize the appearance of the main golden zone Fill color determines the shaded box transparency Show Labels / Show Prices Control whether "0.5" and "0.618" labels appear Control whether price values are displayed on labels Inter-Pivot Golden Zones Six toggle options allow you to show/hide individual golden zones: PP to R1 / PP to S1: Most frequently touched (60.8% / 50.9%) R1 to R2 / S1 to S2: Moderately touched (25.2% / 24.0%) R2 to R3 / S2 to S3: Rarely touched (9.4% / 10.5%) Line Color / Fill Color: Customize appearance of all inter-pivot zones Show Labels / Show Prices: Control labeling for inter-pivot zones Usage Tip: Disable outer zones (R2-R3, S2-S3) on lower volatility days to reduce chart clutter. Pivot Display Show Support/Resistance Levels: Master toggle for all pivot lines Show SR Labels / Show SR Prices: Control labeling on pivot levels Individual level toggles and colors: PP (Pivot Point): The central reference point R1/S1: Primary resistance/support (38.9% / 35.4% touch rate) R2/S2: Secondary levels (15.6% / 16.1% touch rate) R3/S3: Extended levels (5.1% / 7.3% touch rate) Color Customization: Each level's color can be independently set Overall Statistics Table Show Overall Statistics Table: Master toggle Table Size: tiny/small/normal/large/huge/auto Table Position: Top Left/Top Right/Bottom Left/Bottom Right Section Toggles (enable/disable individual sections): Current Session Info Touch & Close Rates Continue & Reject Rates First Touch Statistics Golden Zone Statistics Daily Close Distribution Highest/Lowest Levels Reached Context Statistics Table Show Context Statistics Table: Master toggle Table Size: tiny/small/normal/large/huge/auto Table Position: Top Left/Top Right/Bottom Left/Bottom Right Section Toggles: Current Opening Zone Opening Zone Statistics Previous Day Gap Context Understanding the Statistical Tables TABLE 1: OVERALL STATISTICS This table presents universal statistics from 2,482 days of NQ analysis. Current Session Info Displays real-time context for the active session: Open: Where the current RTH session opened relative to pivots (e.g., "GZ_TO_R1" means opened between the PP-R1 golden zone and R1) Now: Current price position relative to pivots Direction: Bull (close > open), Bear (close < open), or Flat How to use: This section helps you quickly understand where price opened and where it currently is, providing immediate context for the day's action. Touch & Close Rates Shows probability that each pivot level will be reached during RTH: Touch %: Percentage of days where price touched this level at any point Example: R1 touched 38.9% of days, PP touched 57.5% of days Close %: Percentage of days where price closed beyond this level Example: R1 close beyond happened 39.8% of days How to interpret: Higher touch rates indicate more reliable levels for intraday targeting The difference between touch and close rates shows rejection frequency PP has the highest touch rate (57.5%), making it the most magnetic level Outer levels (R3/S3) have low touch rates (5.1%/7.3%), indicating rare extension days Continue & Reject Rates When a level is touched, these statistics show what happens next: Continue %: Probability price continues through the level Example: When PP is touched, price continues 88.1% of the time Reject %: Probability price rejects from the level and reverses Example: When R1 is touched, price rejects 50.9% of the time How to interpret: PP shows highest continuation (88.1%), confirming it's a poor reversal level Support levels (S1/S2/S3) show strong rejection rates (62.5%/60.7%/56.1%), making them better reversal candidates Continuation rates above 80% suggest the level is better as a target than an entry First Touch Statistics Analyzes which pivot is typically touched first during RTH: 1st Touch %: Probability this level is the first pivot encountered PP is first touched 37.1% of days (most common) R1 is first touched 26.0% of days S1 is first touched 10.9% of days 1st→Continue: If this level is touched first, probability of continuation S1-S3 show 95.6%-100% continuation when touched first This means when price reaches support first, it usually continues lower Avg Time: Minutes after 9:30 AM EST before first touch PP: 1h 6m average S3: 19m average (when bearish) R3: 3h 19m average (when bullish) How to interpret: Opening away from PP means higher probability of reaching extremes (R2/R3 or S2/S3) When support is touched first (within first 2 hours), expect continuation lower Late-day first touches (after 2 PM) often indicate strong trending days Multi-Touch: Shows how often levels are tested multiple times (92.8%-95.0% across all levels) Golden Zone Statistics Main GZ: 58.5% touch rate for the 0.5-0.618 zone Inter-Pivot zones: PP-R1: 60.8% (highest probability) PP-S1: 50.9% R1-R2: 25.2% S1-S2: 24.0% R2-R3: 9.4% S2-S3: 10.5% How to interpret: Main GZ is touched more often than any individual resistance level PP-R1 and PP-S1 golden zones are high-probability mean reversion areas Outer golden zones (R2-R3, S2-S3) are only relevant on high volatility days Daily Close Distribution Shows where RTH sessions typically close: Above/Below PP: 58.5% close above, 41.5% below (slight bullish bias) Above R1: 24.5% of days Below S1: 18.7% of days In GZ: Only 6.3% close in the golden zone (typically transits through it) How to interpret: Most days (58.5%) have bullish bias (close above PP) Less than 25% of days are strong trending days (beyond R1/S1) Golden zone is an action area, not a resting area Highest/Lowest Levels Reached Distribution of the most extreme level reached: High Resist: R1 (26.0%), R2 (10.8%), R3 (5.1%) Low Support: S1 (35.4%), S2 (1.9%), S3 (0.6%) How to interpret: Most days don't reach beyond R1 or S1 R3/S3 are rare events (5.1%/0.6%), indicating major trending days S1 is reached as lowest level more often than R1 as highest, suggesting downside is more frequently tested TABLE 2: CONTEXT STATISTICS This table provides conditional statistics based on how the session opened. Current Opening Zone Displays which of 13 possible zones the RTH session opened in: ABOVE_R3, R2_TO_R3, R1_TO_R2, GZ_TO_R1, IN_GZ, PP_TO_GZ, AT_PP, GZ_TO_PP, S1_TO_GZ, S2_TO_S1, S3_TO_S2, BELOW_S3 How to use: This immediately tells you the market structure and what type of day to expect. Opening Zone Statistics Detailed statistics for the current opening zone (only shows for 6 major zones): For each zone, you see: Occurs: How often this opening scenario happens GZ_TO_R1: 38.4% (most common) AT_PP: 12.8% S1_TO_GZ: 24.2% R1_TO_R2: 9.4% S2_TO_S1: 6.3% IN_GZ: 3.8% Bull/Bear %: Close direction probability Example: GZ_TO_R1 is perfectly balanced (50.0% bull / 49.6% bear) R1_TO_R2 is bullish (58.1% bull / 41.0% bear) Levels Hit: Probability of reaching each pivot level from this opening Helps identify high-probability targets Example: From GZ_TO_R1, PP is hit 52.9%, R1 is hit 49.0%, S1 is hit 21.6% How to interpret: GZ_TO_R1 (most common): Balanced day, watch PP and GZ for direction clues AT_PP: Slight bullish bias (56.9%), high chance of touching both PP (92.8%) and GZ (90.3%) R1_TO_R2: Bullish bias (58.1%), expect continuation to R2 (58.1% chance) S2_TO_S1: Bullish reversal setup (59.9%), very high chance of S1 touch (82.8%) IN_GZ: Rare opening (3.8%), bullish bias, virtually guaranteed GZ touch (100%) Previous Day Gap Context Shows current gap scenario and typical behavior: Three scenarios: GAP UP: Opened Above Yesterday's High (20.5% of days) R1 Touch: 65.9% (high probability) R2 Touch: 42.1% S1 Touch: 15.0% (low probability) Bias: Bullish continuation GAP DOWN: Opened Below Yesterday's Low (11.3% of days) S1 Touch: 71.5% (high probability) S2 Touch: 55.2% R1 Touch: 12.1% (low probability) Bias: Bearish continuation NO GAP: Opened Within Yesterday's Range (68.2% of days) PP Touch: 69.5% GZ Touch: 71.7% R1 Touch: 35.2% Bias: Balanced (watch for direction at PP/GZ) How to interpret: Gap days (up or down) tend to continue in the gap direction When gapping, fade trades are low probability (15.0% and 12.1%) Most days (68.2%) open within previous range, making PP and GZ critical decision zones The "bias" line provides clear directional guidance for trade selection Practical Application Examples Example 1: Standard Day Setup Scenario: RTH opens at 20,450 PP: 20,400 GZ: 20,390-20,395 R1: 20,425 Previous day high: 20,460 What the tables tell you: Opening Zone: "GZ_TO_R1" (38.4% occurrence) Gap Context: "NO GAP" (68.2% occurrence) Expected behavior: Balanced (50/50 bull/bear) High probability: PP touch (52.9%), GZ touch (56.8%) Moderate probability: R1 touch (49.0%), S1 touch (21.6%) Trade plan: Wait for price to reach PP (52.9% chance) or GZ (56.8% chance) Look for directional confirmation at these levels First target R1 if bullish, S1 if bearish Avoid assuming direction without confirmation (perfectly balanced opening) Example 2: Gap Up Day Scenario: RTH opens at 20,510 Previous day high: 20,460 R1: 20,425 R2: 20,475 What the tables tell you: Gap Context: "GAP UP" (20.5% occurrence) R1 touch: 65.9% probability R2 touch: 42.1% probability S1 touch: Only 15.0% probability Bias: Bullish continuation Trade plan: Favor long setups Target R1 first (65.9% chance), then R2 (42.1%) If R1 breaks, R2 becomes likely target Shorting is low probability (only 15.0% reach S1) Example 3: Opening in Golden Zone Scenario: RTH opens at 20,393 PP: 20,400 GZ: 20,390-20,395 What the tables tell you: Opening Zone: "IN_GZ" (rare, only 3.8% occurrence) Bullish bias: 58.1% GZ touch: 100% (guaranteed - already there) PP touch: 75.3% R1 touch: 41.9% Trade plan: Expect price to test PP (75.3% chance) Slight bullish bias suggests long setups better than shorts Watch how price reacts at PP - likely to continue to R1 (41.9%) This is an uncommon opening, suggesting potential for larger moves Best Practices Match Your Instrument: Remember, statistics are NQ-specific. If trading other instruments, use the levels but disregard the statistical percentages. Combine with Price Action: Use the statistics for probability context, not as standalone signals. Always confirm with price action, volume, and your trading methodology. Adapt Table Display: Don't display all sections all the time. Toggle based on your trading phase: Pre-market: Focus on "Gap Context" to understand the setup Market open: Watch "Opening Zone Statistics" for directional bias Intraday: Monitor "Current Session Info" for position tracking Understand Context: A 60% touch rate doesn't mean guaranteed—it means 40% of days don't touch. Use these probabilities to size positions and manage expectations. Inter-Pivot Golden Zones: These are most useful when price is already in motion toward a level. For example, if price breaks above PP heading to R1, the PP-R1 golden zone (60.8% touch rate) becomes a high-probability pullback area. Time Awareness: The "Avg Time" statistics help you understand urgency. If it's 10:30 AM and S1 hasn't been touched (average is 55 minutes), the window for bearish moves is closing. Technical Notes Time Zone: All times referenced are NY/EST Session Definition: RTH is 9:30 AM - 4:00 PM EST Calculation Period: Pivots update daily based on previous 24-hour period (18:00 previous day to 17:00 current day) Data Source: Statistics derived from 12 years of NQ 1-minute futures data (2013-2025) Sample Size: 2,482 complete RTH trading sessions Disclaimer This indicator provides statistical probabilities based on historical NQ futures data. Past performance does not guarantee future results. The statistical tables are educational tools and should not be the sole basis for trading decisions. Always: Use proper risk management Combine with your own analysis Understand that probabilities are not certainties Remember that statistics are instrument-specific (NQ/MNQ only) Credits Statistical analysis performed using Python analysis of 12 years of historical NQ futures data. All pivot and golden zone calculations use standard mathematical formulas applicable to any instrument.

NQ Hourly Retracements - 12y Stats with Levels Hour Stats with Levels - TradingView Indicator Description IMPORTANT: NQ FUTURES ONLY This indicator is specifically designed for and calibrated to NQ (Nasdaq-100 E-mini) futures only. The statistical data is derived exclusively from 13 years of NQ price action (2013-2025). Do not use this indicator on any other asset, ticker, or market as the statistics will not be applicable and may lead to incorrect trading decisions. Overview "Hour Stats with Levels" is a statistical analysis indicator that provides real-time probability-based insights into hourly price behavior patterns. The indicator combines historical pattern recognition with live price action to help traders anticipate potential sweep and reversal scenarios within each trading hour. Originality and Core Concept This indicator is based on a comprehensive statistical analysis of 12y years of 1-minute NQ futures data, examining a specific price pattern: when an hourly candle opens inside the previous hour's range. Unlike generic support/resistance indicators, this tool provides hour-specific, context-aware probabilities based on 30,000+ historical occurrences of this pattern. The originality lies in three key areas: Pattern-Specific Statistics: Rather than applying generic technical analysis, the indicator only activates when the current hour opens within the previous hour's range, providing relevant statistics for this exact scenario. Context-Aware Probabilities: Statistics are differentiated based on whether the current hour opened above or below the previous hour's open, recognizing that bullish and bearish opening contexts produce different behavioral patterns. Comprehensive Retracement Tracking: The indicator tracks four independent retracement levels after a sweep occurs, showing the probability of price returning to: the swept level itself (90+% probability), the 50% level, the current hour's open, and the opposite extreme. How It Works The Core Pattern The indicator monitors a specific price structure: Setup Condition: The current hourly candle opens inside (between) the previous hour's high and low Sweep Event: Price then breaks above the previous high (high sweep) or below the previous low (low sweep) Retracement Analysis: After a sweep, the indicator tracks whether price retraces to key levels Statistical Foundation The underlying analysis processed 1-minute bar data from 2013-2025, identifying every instance where an hourly candle opened inside the previous hour's range. For each occurrence, the system tracked: Whether the high, low, or both were swept during that hour The distance of the sweep measured as a percentage of the previous hour's range Whether price retraced to four key levels: the swept level, the 50% point, the current open, and the opposite extreme These measurements were aggregated for all 24 hours of the trading day, with separate statistics for bullish contexts (opening above previous open) and bearish contexts (opening below previous open), creating 48 unique statistical profiles. Sweep Distance Percentiles The "reversal levels" are drawn based on historical sweep distance distributions: 25th Percentile: 75% of historical sweeps were larger than this distance. This represents a conservative reversal zone where smaller, contained sweeps typically reverse. Median (50th Percentile): The midpoint of all historical sweep distances. Half of all sweeps reversed before reaching this level, half extended beyond it. 75th Percentile: Only 25% of sweeps extended beyond this distance. This represents an extended sweep zone where price has historically shown exhaustion. For example, if the previous hour's range was 20 points and the median high sweep distance is 40% of range, the median reversal level would be placed 8 points above the previous high. How to Use the Indicator Sweeps were calculated using 1m data - as such, it's recommended to use the indicator on a 1min chart Visual Components Hour Delimiter (Gray Vertical Line) Marks the start of each new hour Helps identify when new statistics become active Sweep Markers Green "H" label: High sweep has occurred this hour Red "L" label: Low sweep has occurred this hour Markers appear on the exact bar where the sweep happened Target Levels (Blue Lines) Prev Open: Previous hour's opening price Prev High: Previous hour's highest price (sweep target) Prev Low: Previous hour's lowest price (sweep target) Prev 50%: Midpoint of previous hour's range Current Open: Current hour's opening price (key retracement target) Reversal Levels (Purple Dashed Lines) Positioned beyond the previous high/low based on historical sweep percentiles Three levels above previous high (for high sweeps) Three levels below previous low (for low sweeps) These represent statistically-derived zones where sweeps typically exhaust The Statistics Table The table dynamically updates each hour and displays different statistics based on whether the current hour opened above or below the previous hour's open. Status Row Shows current state: waiting for sweep, or which sweep(s) have occurred If waiting, indicates which sweep is more probable based on historical data SWEEP PROBABILITIES Section High Sweep: Historical probability (%) that price will sweep the previous high this hour Low Sweep: Historical probability (%) that price will sweep the previous low this hour Both Sweeps: Historical probability (%) that price will sweep both levels this hour These probabilities are derived from counting how many times each pattern occurred in similar historical contexts. For example, "High Sweep: 73.18%" means that in 73.18% of historical occurrences where the hour opened in this same context (same hour of day, same position relative to previous open), price swept the previous high before the hour closed. AFTER HIGH SWEEP → Section These statistics activate only after a high sweep has occurred. They show the probability of price retracing to various levels: → Prev High: Probability that price returns to (or below) the level it just swept. This is typically 90%+ because sweeps often act as "false breakouts" or liquidity grabs before reversal. → 50% Level: Probability that price retraces at least halfway back into the previous hour's range. This represents a moderate retracement. → Current Open: Probability that price retraces all the way back to where the current hour opened. This indicates a complete reversal of the sweep move. → Prev Low: Probability that price retraces entirely through the previous range to touch the opposite extreme. This represents a full reversal pattern. AFTER LOW SWEEP → Section Mirror of the above, but for low sweeps: → Prev Low: Retracement to the swept low level (90%+ probability) → 50% Level: Retracement to middle of range → Current Open: Full retracement to current hour's open → Prev High: Complete reversal to opposite extreme Important Note on Retracement Statistics: These percentages are tracked independently. A 90% probability of returning to the swept level doesn't mean there's only a 10% chance of deeper retracement. Price can (and often does) retrace through multiple levels sequentially. The percentages show how many times price reached at least that level, not where it stopped. Trading Applications Anticipating Sweeps When an hour opens inside the previous range, check the probabilities. If "High Sweep: 70%" and "Low Sweep: 30%", you know there's a 70% historical likelihood of an upside sweep occurring this hour. This doesn't guarantee it will happen, but provides statistical context for potential setups. Reversal Trading The most reliable pattern in the data is the 90%+ retracement probability to swept levels. When a sweep occurs, traders can anticipate a retracement back to at least the swept level in the vast majority of cases. The reversal level percentiles help identify where sweeps may exhaust. Position Management The retracement probabilities help manage existing positions. For example, if you're long and a high sweep occurs, you know there's a 90%+ chance of at least some retracement to the swept level, which might inform profit-taking or stop-loss decisions. Confluence with Current Open The "Current Open" retracement statistics (typically 60-70%) highlight the magnetic quality of the hour's opening price. After a sweep, price frequently returns to test this level. Customization Options The indicator offers extensive visual customization: Toggle on/off: hour delimiters, sweep markers, target levels, reversal levels, statistics table Customize colors, line widths, and styles for all visual elements Adjust label sizes and table position Show/hide individual target levels and reversal percentiles Limitations and Considerations Pattern-Specific: The indicator only provides statistics when the current hour opens inside the previous hour's range. If the hour opens outside this range (gaps up or down), the statistics are not applicable. Historical Probabilities: The percentages represent historical frequencies, not predictions. A 70% probability means it happened 70% of the time historically, not that it will definitely happen 7 out of 10 times going forward. NQ-Specific Calibration: All statistics are derived from NQ futures data. Market behavior, volatility, and patterns differ across assets. Hour-Specific Behavior: Different hours show dramatically different statistics. For example, the 9 AM EST hour (market open) shows much higher sweep probabilities (80%+) than the 5 PM EST hour (30-50%) due to differing liquidity and volatility conditions. No Guarantee of Execution: While a 90% retracement probability is high, it means 10% of the time, price did NOT retrace. Always use proper risk management. Technical Notes The indicator uses hourly timeframe data via request.security() to determine previous hour values Sweep detection occurs in real-time on the chart's timeframe Statistics are hardcoded from the comprehensive backtested analysis (not calculated on-the-fly) The indicator stores static values at the start of each hour to ensure consistency as the hour progresses All percentage values are rounded to one decimal place for clarity This indicator provides a statistically-grounded framework for understanding hourly price behavior in NQ futures. By combining real-time pattern detection with comprehensive historical analysis, it offers traders probabilistic insights to inform decision-making process within the specific context of each trading hour.

multi-tf standard devs [keypoems]Multi-Timeframe Standard Deviations Levels A visual map of “how far is too far” across any three higher time-frames. 1. What it does This script plots dynamic price “rails” built from standard deviation (StDev)—the same math that underpins the bell curve—on up to three higher-time-frames (HTFs) at once. • It measures the volatility of intraday open-to-close increments, reaching back as far as 5000 bars (≈ 20 years on daily data). • Each HTF can be extended to the next session or truncated at session close for tidy dashboards. • Lines can be mirrored so you see symmetric positive/negative bands, and optional background fills shade the “probability cone.” Because ≈ 68 % of moves live inside ±1 StDev, ≈ 95 % inside ±2, and ≈ 99.7 % inside ±3, the plot instantly shows when price is statistically stretched or compressed. 3. Key settings Higher Time-Frame #1-3 Turn each HTF on/off, pick the interval (anything from 1 min to 1 year), and decide whether lines should extend into the next period. Show levels for last X days Keep your chart clean by limiting how many historical sessions are displayed (1-50). Based on last X periods Length of the StDev sample. Long look-backs (e.g. 5 000) iron-out day-to-day noise; short look-backs make the bands flex with recent volatility. Fib Settings Toggle each multiple, line thickness/style/colour, label size, whether to print the numeric level, the live price, the HTF label, and whether to tint the background (choose your own opacity). 4. Under-the-hood notes StDev is calculated on (close – open) / open rather than absolute prices, making the band width scale-agnostic. Watch for tests of ±1: Momentum traders ride the breakout with a target at the next band. Mean-reversion traders wait for the first stall candle and trade back to zero line or VWAP. Bottom line: Multi-Timeframe Standard-Deviations turns raw volatility math into an intuitive “price terrain map,” helping you instantly judge whether a move is ordinary, stretched, or extreme—across the time-frames that matter to you. Original code by fadizeidan and stats by NQStats's ProbableChris.