The Scale Of Sacred SoundsBased on the Sacred Sound Scale
How to use it:
This indicator is designed to capture the inferred behavior of traders and investors by using two groups of averages.
Meant for longer trades and trend indicator.
Used on any timescale as needed.
Can trade on long or short where the slow MA crosses fast Ma or where the Slow MA compresses and flips open again.
Follow the trend to the end - pot of gold at the end of the rainbow :-)
References:
Based on Daryl Guppy GMMA and
www.guppytraders.com
Read more at:
whatmusicreallyis.com
There is one tuning in which the frequencies 432, 528, 424 and 440 Hz can peacefully coexist. The scale has 32+1 pure harmonic tones and the reference frequency of 256 Hz. It comes from the Natural Ascending Series of Harmonics 32 to 64 of the 8 Hz Fundamental Tone, and represents its 6th double. I call this tuning The Scale of Sacred Sounds.
Representation using ancient Sumerian/Babylonian/Vedic math:
32; 33; 34; 35; 36; 37; 38; 39; 40; 41; 42; 43; 44; 45; 46; 47; 48; 49; 50; 51; 52; 53; 54; 55; 56; 57; 58; 59; 60; 61; 62; 63; 64
Representation using musical ratios:
1/1; 33/32; 17/16; 35/32; 9/8; 37/32; 19/16; 39/32; 5/4; 41/32; 21/16; 43/32; 11/8; 45/32; 23/16; 47/32; 3/2; 49/32; 25/16; 51/32; 13/8; 53/32; 27/16; 55/32; 7/4; 57/32; 29/16; 59/32; 15/8; 61/32; 31/16; 63/32; 2/1
The math for deriving one of the above series from the other is simple. Divide all numbers from the ancient series by the first, then simplify the fractions. Conversely, the series of ratios can be turned into the series of integers by calculating their least common denominator (the smallest whole number that is a multiple of all numbers under the fraction bar) and discarding it.
Logarithmic representation using musical constants (definition given further down):
0,000; 30,772; 60,625; 89,612; 117,783; 145,182; 171,850; 197,826; 223,144; 247,836; 271,934; 295,464; 318,454; 340,927; 362,905; 384,412; 405,465; 426,084; 446,287; 466,090; 485,508; 504,556; 523,248; 541,597; 559,616; 577,315; 594,707; 611,802; 628,609; 645,138; 661,398; 677,399; 693,147
在脚本中搜索"股价站上60月线"
Bitfinex Longs/Shorts Ratio AlertableThis script contains Bitfinex longs/short ratio and generates alarms with a given input .default value is 60 which means alerts when either shorts/longs reach 60:40 ratio
RSI / Stoch / SRSI / MFI / Aroon Overlay [SigmaDraconis]Combines 4 popular indicators (RSI, Stoch, SRSI, MFI) and 1 peculiar one (Aroon) in 1 for those who want to save indicators but not only.
This is an evolution of my (simpler) "RSI / Stoch / Stoch RSI (SRSI) Overlay " that you can find on my scripts.
Added bands for oversold/overbought areas (70/30 common for RSI and 80/20 for SRSI and MFI), as well as a middle 50 horizontal line.
Neutral bands around 55-45 added as well that can be hidden for less clutter. I also recommend a more transparent coloring for these since Pine script doesn't allow default transparency for horizontal lines.
By default only RSI and Stoch are activated, you can activate Aroon, MFI and SRSI on the inputs window.
Some extra notes:
* RSI, Stoch and MFI can help to strengthen one's decision as well as Aroon to predict a possible trend reversal, SRSI can show when RSI has high probability of being topped or bottomed when oversold/overbought but don't forget to look at volume and how the trend progresses that can keep SRSI above 80 or below 20 while RSI and price continues to trend, divergences are most helpful here to find possible reversal areas.
* This chart depicts some interesting divergences, as well as Stoch tops and bottoms and confluences between RSI/MFI and Stoch on some over-extended tops and bottoms that shown being good reversal zones.
RSI resistances are shown as well, failing to break above 60 or the neutral zone (this is a bearish BTC trend chart after all) or failing to gain support to break up certain levels (RSI notes a more bullish trend when consistently above 60 and more bearish below 40).
If you like it and use it to profit, please tip me below :)
Tip jars:
BTC: 15nMBiEGVrdGcu9C1h6QRcTNRvugHkqrMQ
ETH: 0xC33845946c48B61fBCbEA0367ec2238CaF2b73bc
BTS: sigma-draconis
Chop and explodeThe purpose of this script is to decipher chop zones from runs/movement/explosion
The chop is RSI movement between 40 and 60
tight chop is RSI movement between 45 and 55. There should be an explosion after RSI breaks through 60 (long) or 40 (short). Tight chop bars are colored black, a series of black bars is tight consolidation and should explode imminently. The longer the chop the longer the explosion will go for. tighter the better.
Loose chop (whip saw/yellow bars) will range between 40 and 60.
the move begins with blue bars for long and purple bars for short.
Couple it with your trading system to help stay out of chop and enter when there is movement. Use with "Simple Trender."
Best of luck in all you do. Get money.
Build A BotThis is the Robot we built during the 60 Minute Build-A-Bot webinar on September 12, 2018. We had a great time, and a lot of participation and the best part was that we finished up this robot and even ran a backtest in exactly 60 minutes! We built this robot based on recommendations and suggestions from those who were attending live. Lots of pieces in this robot, but you can always tinker with it, remove stuff, add things, whatever you want!
This version uses the CCI as a trigger for trade entry. The other version uses the Hull Moving Average as a trigger for trade entry.
Volume Zone Oscillator and Price Zone (VZO/PZO) [NeoButane]" Volume Precedes Price is the conceptual idea for the oscillator."
"The main idea of the VZO was to try to change the OBV to look like an oscillator rather than an indicator, also to include time; primarily to identify which zone the volume is located in during a specific period "
How to read this indicator:
Positive reading -> bullish
Negative reading -> bearish
-60 or 60 is seen as the limit of the oscillator range, and a pullback should be expected from there.
Plus and minus signs have been added to the top and bottom for VZO and PZO, with an adjustable threshold to trigger.
Alert conditions have been added to this indicator for ease of use.
Volume Zone Oscillator, write-up by the author (recommended reading)
http:capitalsynergy.com/resources/IFTA09VZO.pdf
Volume Zone Oscillator, uses and formula
https:www.investopedia.com/articles/active-trading/072815/how-interpret-volume-zone-oscillator.asp
Price Zone Oscillator, uses and formula
https:www.investopedia.com/terms/p/price-zone-oscillator.asp
Fib,Guppy Multiple MA(FGMMA)(A/D & Volume Weight,SMA,EMA)[cI8DH]Features:
- 3 + 12 MAs (12 is chosen because Guppy has 12 MAs)
- MA types can be set to Simple, Exponential, Weighted, and Smoothed
- Volume weight can be applied to all available MAs (the built-in VWMA uses Simple MA)
- It is possible to count in only effective portions of the volume in the equation by using Accum/Dist Volume Weight
- Secondary smoothing (useful when volume weight is enabled)
- Predefined MA sets based on Fibonacci sequence (2,3,5,8,.., 377), Guppy (3,5,8,10,12,15 &30,35,40,45,50,60), and cI8DH (2,3,5,8,12,17 & 30,34,39,45,52,60)
Recommended settings:
- hlc3 as input source captures all the essential information encapsulated in a candle. I'd use hlc3 as the default option. In uptrend, "low" and in downtrend, "high" might give more relevant results when using MAs for structural analysis of a market. For commonly used MAs (EMA20, SMA50,100,200), "close" should be used due to their self-fulfilling prophecy effect.
- When you have volume weight above 0, you may want to use secondary smoothing.
- Try not to use Simple MA for smaller lengths (below 20). Sharp changes in the past (right before the period specified by the length) will affect the current value of MA dramatically leading to confusion.
- I am using the first 3 MAs for SMA 50,100,200. You can disable them from the MA type selector all at once when using Fib or Guppy ribbons.
MA-based analysis:
There are different ways of structuring a market. Geometrical (trend lines, channels, fans, patterns, etc) and Fib retracement-based structuring is very common among traders. MAs give an alternative way of analyzing markets. MA ribbons such as Guppy (6 slow and 6 fast-moving MAs) are popular for analyzing market flow. IMO default Guppy sets are a bit random as the numbers do not have an elegant sequence. So I proposed my sets based on increasing sequene spacing (+1). These two MA ribbons are good for market flow analysis but the spacing of the MAs are not ideal for structuring a market. Ribbons based on the Fib sequence is a better choice for structuring a market. This is the equivalent of Fib channels but in a more dynamic form. Among other things, MA Fib ribbon can be used to assess market momentum and to compare different stages of a market. Here are two "educational-only" examples:
Notes:
- Smoothed MA with length L = Exponential MA with length 2*L-1
- Read the background section in my ADP indicator to understand how A/D Volume is calculated
Better RSI with bullish / bearish market cycle indicator This script improves the default RSI. First. it identifies regions of the RSI which are oversold and overbought by changing the color of RSI from white to red. Second, it adds additional reference lines at 20,40,50,60, and 80 to better gauge the RSI value. Finally, the coolest feature, the middle 50 line is used to indicate which cycle the price is currently at. A green color at the 50 line indicates a bullish cycle, a red color indicators a bearish cycle, and a white color indicates a neutral cycle.
The cycles are determined using the RSI as follows:
if RSI is overbought, cycle switches to bullish until RSI falls below 40, at which point it becomes neutral
if RSI is oversold, cycle switches bearish until RSI rises above 60, at which point it becomes neutral
a neutral cycle is exited at either overbought or oversold conditions
Very useful, please give it a try and let me know what you think
MG - Multiple time frame Stochastic RSIAllows user to view stochastic RSI from two different time frames.
Each stochastic RSI indicator is fully customizable, offering the following options:
- Timeframe
- RSI source
- RSI length
- Stochastic length
- Stochastic average length
- Stochastic smoothing length
Usage:
Comparing stochastic RSI across two different time frames can sharpen trades. For example, if you configure a 60 min and 5/15 min stochastic RSI pair, you might enter a long trade when the 60 min stoch RSI crosses up and exit / take profit when the 5 min stock RSI crosses down.
NG [Simple Harmonic Oscillator]The SHO is a bounded oscillator for the simple harmonic index that calculates the period of the market’s cycle.
The oscillator is used for short and intermediate terms and moves within a range of -100 to 100 percent.
The SHO has overbought and oversold levels at +40 and -40, respectively.
At extreme periods, the oscillator may reach the levels of +60 and -60.
The zero level demonstrates an equilibrium between the periods of bulls and bears.
The SHO oscillates between +40 and -40.
The crossover at those levels creates buy and sell signals.
In an uptrend, the SHO fluctuates between 0 and +40 where the bulls are controlling the market.
On the contrary, the SHO fluctuates between 0 and -40 during downtrends where the bears controlthe market.
Reaching the extreme level -60 in an uptrend is a sign of weakness.
Ichimoku Cloud w/SelIchimoku Cloud with selection for:
Regular:
conversionPeriods = 9,
basePeriods = 26
laggingSpan2Periods = 52,
displacement = 26
Crypto:
conversionPeriods = 10,
basePeriods = 30,
laggingSpan2Periods = 60,
displacement = 30
Crypto Doubled:
conversionPeriods = 20,
basePeriods = 60,
laggingSpan2Periods = 120,
displacement = 30
3 Linear Regression CurveFast 3LRC - 15/30/60 standard settings - 15/30 give a lot of noise, but give you a some time to prepare for the 60 to flip
DEMA Double Exponential Moving Average Strategy@Moneros 2017
Based on The DEMA is a fast-acting moving average that is more responsive to market changes than a traditional moving average
en.wikipedia.org
!!!! IN ORDER TO AVOID REPAITING ISSUES !!!!
!!!! DO NOT VIEW IN LOWER RESOLUTIONS THAN res/2 PARAMETER !!!!
for example res = 120 view >= 60m res = 60 view >= 30m
the length of the DEMA sampling shouldn't be longer than a candle
Best profits tested on BTCUSD
res = 105 slowPeriod = 2 fastPeriod = 32
res = 125 slowPeriod = 3 fastPeriod = 21
res = 120 slowPeriod = 2 fastPeriod = 32
res = 130 slowPeriod = 1 fastPeriod = 24
res = 40 slowPeriod = 4 fastPeriod = 93
res = 60 slowPeriod = 1 fastPeriod = 67
BTCUSD
RSI in Bull and Bear Market V2.0RSI oversold at 60/40 in bullish market
And Overbought at 40/60 in Bearish market
for more info of this Strategy
WaveTrend [MastroFran]Great indicator to show short term price movements. 5 day moving average oscillator. When green crosses red and under the 60 mark, buy with caution. when over the 60 mark and red crosses green sell immediately for highest profits.
Hersheys CoCo VolumeCoCo Volume shows you volume movement of your symbol after subtracting the movement from another symbol, preferrably the sector or market the stock belongs to.
My latest update to my CoCoVolume Indicator. It calculates today's volume percent over the 60 period average for both your symbol and index, and displays that difference. If the percent is over the max it highlights the color, showing BIG action for that stock.
The last version was calculating the percent volume difference from yesterday to today for the stock and index and displaying the difference. The prior method had large swings on low volume stocks... this one shows the independent volume action much better. The default values will suit most stocks.
You can set three variables...
- the index symbol, default is SPY
- the period for averaging, default is 60
- the max volume percent, default is 500
Good trading!
Brian Hershey
close-hl2 Price actionStill not tested, but looks very good ; it is the difference between EMA median price and EMA close in different time frame, I used 240, 60, and the current Time frame ,plus one more customed period ; can forcast the price movement , but it s not in scale, so it can not show how much higher or lower the price can goes but just the next direction. I think intraday on 5 ,15 ,60 better then high frame.If you need to try on Daily frame have to change the period to higher then Daily
Everyday 0002 _ MAC 1st Trading Hour WalkoverThis is the second strategy for my Everyday project.
Like I wrote the last time - my goal is to create a new strategy everyday
for the rest of 2016 and post it here on TradingView.
I'm a complete beginner so this is my way of learning about coding strategies.
I'll give myself between 15 minutes and 2 hours to complete each creation.
This is basically a repetition of the first strategy I wrote - a Moving Average Crossover,
but I added a tiny thing.
I read that "Statistics have proven that the daily high or low is established within the first hour of trading on more than 70% of the time."
(source: )
My first Moving Average Crossover strategy, tested on VOLVB daily, got stoped out by the volatility
and because of this missed one nice bull run and a very nice bear run.
So I added this single line: if time("60", "1000-1600") regarding when to take exits:
if time("60", "1000-1600")
strategy.exit("Close Long", "Long", profit=2000, loss=500)
strategy.exit("Close Short", "Short", profit=2000, loss=500)
Sweden is UTC+2 so I guess UTC 1000 equals 12.00 in Stockholm. Not sure if this is correct, actually.
Anyway, I hope this means the strategy will only take exits based on price action which occur in the afternoon, when there is a higher probability of a lower volatility.
When I ran the new modified strategy on the same VOLVB daily it didn't get stoped out so easily.
On the other hand I'll have to test this on various stocks .
Reading and learning about how to properly test strategies is on my todo list - all tips on youtube videos or blogs
to read on this topic is very welcome!
Like I said the last time, I'm posting these strategies hoping to learn from the community - so any feedback, advice, or corrections is very much welcome and appreciated!
/pbergden
Realtime Squeeze Box [CHE] Realtime Squeeze Box — Detects lowvolatility consolidation periods and draws trimmed price range boxes in realtime to highlight potential breakout setups without clutter from outliers.
Summary
This indicator identifies "squeeze" phases where recent price volatility falls below a dynamic baseline threshold, signaling potential energy buildup for directional moves. By requiring a minimum number of consecutive bars in squeeze, it reduces noise from fleeting dips, making signals more reliable than simple threshold crosses. The core innovation is realtime box visualization: during active squeezes, it builds and updates a box capturing the price range while ignoring extreme values via quantile trimming, providing a cleaner view of consolidation bounds. This differs from static volatility bands by focusing on trimmed ranges and suppressing overlapping boxes, which helps traders spot genuine setups amid choppy markets. Overall, it aids in anticipating breakouts by combining volatility filtering with visual containment of price action.
Motivation: Why this design?
Traders often face whipsaws during brief volatility lulls that mimic true consolidations, leading to premature entries, or miss setups because standard volatility measures lag in adapting to changing market regimes. This design addresses that by using a hold requirement on consecutive lowvolatility bars to denoise signals, ensuring only sustained squeezes trigger visuals. The core idea—comparing rolling standard deviation to a smoothed baseline—creates a responsive yet stable filter for lowenergy periods, while the trimmed box approach isolates the core price cluster, making it easier to gauge breakout potential without distortion from spikes.
What’s different vs. standard approaches?
Reference baseline: Traditional squeeze indicators like the Bollinger Band Squeeze or TTM Squeeze rely on fixed multiples of bands or momentum oscillators crossing zero, which can fire on isolated bars or ignore range compression nuances.
Architecture differences:
Realtime box construction that updates barbybar during squeezes, using arrays to track and trim price values.
Quantilebased outlier rejection to define box bounds, focusing on the bulk of prices rather than full range.
Overlap suppression logic that skips redundant boxes if the new range intersects heavily with the prior one.
Hold counter for consecutive bar validation, adding persistence before signaling.
Practical effect: Charts show fewer, more defined orange boxes encapsulating tight price action, with a horizontal line extension marking the midpoint postsqueeze—visibly reducing clutter in sideways markets and highlighting "coiled" ranges that standard plots might blur with full highs/lows. This matters for quicker visual scanning of multitimeframe setups, as boxes selflimit to recent history and avoid piling up.
How it works (technical)
The indicator starts by computing a rolling average and standard deviation over a userdefined length on the chosen source price series. This deviation measure is then smoothed into a baseline using either a simple or exponential average over a longer window, serving as a reference for normal volatility. A squeeze triggers when the current deviation dips below this baseline scaled by a multiplier less than one, but only after a minimum number of consecutive bars confirm it, which resets the counter on breaks.
Upon squeeze start, it clears a buffer and begins collecting source prices barbybar, limited to the first few bars to keep computation light. For visualization, if enabled, it sorts the buffer and finds a quantile threshold, then identifies the minimum value at or below that threshold to set upper and lower box bounds—effectively clamping the range to exclude tails above the quantile. The box draws from the start bar to the current one, updating its right edge and levels dynamically; if the new bounds overlap significantly with the last completed box, it suppresses drawing to avoid redundancy.
Once the hold limit or squeeze ends, the box freezes: its final bounds become the last reference, a midpoint line extends rightward from the end, and a tiny circle label marks the point. Buffers and states reset on new squeezes, with historical boxes and lines capped to prevent overload. All logic runs on every bar but uses confirmed historical data for calculations, with realtime updates only affecting the active box's position—no future peeking occurs. Initialization seeds with null values, building states progressively from the first bars.
Parameter Guide
Source: Selects the price series (e.g., close, hl2) for deviation and box building; influences sensitivity to wicks or bodies. Default: close. Tradeoffs/Tips: Use hl2 for balanced range view in volatile assets; stick to close for pure directional focus—test on your timeframe to avoid oversmoothing trends.
Length (Mean/SD): Sets window for average and deviation calculation; shorter values make detection quicker but noisier. Default: 20. Tradeoffs/Tips: Increase to 30+ for stability in higher timeframes, reducing false starts; below 10 risks overreacting to singlebar noise.
Baseline Length: Defines smoothing window for the deviation baseline; longer periods create a steadier reference, filtering regime shifts. Default: 50. Tradeoffs/Tips: Pair with Length at 1:2 ratio for calm markets; shorten to 30 if baselines lag during fast volatility drops, but watch for added whips.
Squeeze Multiplier (<1.0): Scales the baseline downward to set the squeeze threshold; lower values tighten criteria for rarer, stronger signals. Default: 0.8. Tradeoffs/Tips: Tighten to 0.6 for highvol assets like crypto to cut noise; loosen to 0.9 in forex for more frequent but shallower setups—balances hit rate vs. depth.
Baseline via EMA (instead of SMA): Switches baseline smoothing to exponential for faster adaptation to recent changes vs. equalweighted simple average. Default: false. Tradeoffs/Tips: Enable in trending markets for quicker baseline drops; disable for uniform history weighting in rangebound conditions to avoid overreacting.
SD: Sample (len1) instead of Population (len): Adjusts deviation formula to divide by length minus one for smallsample bias correction, slightly inflating values. Default: false. Tradeoffs/Tips: Use sample in short windows (<20) for more conservative thresholds; population suits long looks where bias is negligible, keeping signals tighter.
Min. Hold Bars in Squeeze: Requires this many consecutive squeeze bars before confirming; higher denoise but may clip early setups. Default: 1. Tradeoffs/Tips: Bump to 35 for intraday to filter ticks; keep at 1 for swings where quick consolidations matter—trades off timeliness for reliability.
Debug: Plot SD & Threshold: Toggles lines showing raw deviation and threshold for visual backtesting of squeeze logic. Default: false. Tradeoffs/Tips: Enable during tuning to eyeball crossovers; disable live to declutter—great for verifying multiplier impact without alerts.
Tint Bars when Squeeze Active: Overlays semitransparent color on bars during open box phases for quick squeeze spotting. Default: false. Tradeoffs/Tips: Pair with low opacity for subtlety; turn off if using boxes alone, as tint can obscure candlesticks in dense charts.
Tint Opacity (0..100): Controls background tint strength during active squeezes; higher values darken for emphasis. Default: 85. Tradeoffs/Tips: Dial to 60 for light touch; max at 100 risks hiding price action—adjust per chart theme for visibility.
Stored Price (during Squeeze): Price series captured in the buffer for box bounds; defaults to source but allows customization. Default: close. Tradeoffs/Tips: Switch to high/low for wider boxes in gappy markets; keep close for midline focus—impacts trim effectiveness on outliers.
Quantile q (0..1): Fraction of sorted prices below which tails are cut; higher q keeps more data but risks including spikes. Default: 0.718. Tradeoffs/Tips: Lower to 0.5 for aggressive trim in noisy assets; raise to 0.8 for fuller ranges—tune via debug to match your consolidation depth.
Box Fill Color: Sets interior shade of squeeze boxes; semitransparent for layering. Default: orange (80% trans.). Tradeoffs/Tips: Soften with more transparency in multiindicator setups; bold for standalone use—ensures boxes pop without overwhelming.
Box Border Color: Defines outline hue and solidity for box edges. Default: orange (0% trans.). Tradeoffs/Tips: Match fill for cohesion or contrast for edges; thin width keeps it clean—helps delineate bounds in zoomed views.
Keep Last N Boxes: Limits historical boxes/lines/labels to this count, deleting oldest for performance. Default: 10. Tradeoffs/Tips: Increase to 50 for weekly reviews; set to 0 for unlimited (risks lag)—balances history vs. speed on long charts.
Draw Box in Realtime (build/update): Enables live extension of boxes during squeezes vs. waiting for end. Default: true. Tradeoffs/Tips: Disable for confirmedonly views to mimic backtests; enable for proactive trading—adds minor repaint on live bars.
Box: Max First N Bars: Caps buffer collection to initial squeeze bars, freezing after for efficiency. Default: 15. Tradeoffs/Tips: Shorten to 510 for fast intraday; extend to 20 in dailies—prevents bloated arrays but may truncate long squeezes.
Reading & Interpretation
Squeeze phases appear as orange boxes encapsulating the trimmed price cluster during lowvolatility holds—narrow boxes signal tight consolidations, while wider ones indicate looser ranges within the threshold. The box's top and bottom represent the quantilecapped high and low of collected prices, with the interior fill shading the containment zone; ignore extremes outside for "true" bounds. Postsqueeze, a solid horizontal line extends right from the box's midpoint, acting as a reference level for potential breakout tests—drifting prices toward or away from it can hint at building momentum. Tiny orange circles at the line's start mark completion points for easy scanning. Debug lines (if on) show deviation hugging or crossing the threshold, confirming hold logic; a persistent hug below suggests prolonged calm, while spikes above reset counters.
Practical Workflows & Combinations
Trend following: Enter long on squeezeend close above the box top (or midpoint line) confirmed by higher high in structure; filter with rising 50period average to avoid countertrend traps. Use boxes as support/resistance proxies—short below bottom in downtrends.
Exits/Stops: Trail stops to the box midpoint during postsqueeze runs for conservative holds; go aggressive by exiting on retest of opposite box side. If debug shows repeated threshold grazes, tighten stops to curb drawdowns in ranging followups.
Multiasset/MultiTF: Defaults work across stocks, forex, and crypto on 15min+ frames; scale Length proportionally (e.g., x2 on hourly). Layer with highertimeframe boxes for confluence—e.g., daily squeeze + 1H box for entry timing. (Unknown/Optional: Specific multiTF scaling recipes beyond proportional adjustment.)
Behavior, Constraints & Performance
Repaint/confirmation: Core calculations use historical closes, confirming on bar close; active boxes repaint their right edge and levels live during squeezes if enabled, but freeze irrevocably on hold limit or end—mitigates via barbybar buffer adds without future leaks. No lookahead indexes.
security()/HTF: None used, so no external timeframe repaints; all native to chart resolution.
Resources: Caps at 300 boxes/lines/labels total; small arrays (up to 20 elements) and short loops in sorting/minfinding keep it light—suitable for 10k+ bar charts without throttling. Persistent variables track state across bars efficiently.
Known limits: May lag on ultrasharp volatility spikes due to baseline smoothing; gaps or thin markets can skew trims if buffer hits cap early; overlaps suppress visuals but might hide chained squeezes—(Unknown/Optional: Edge cases in nonstandard sessions).
Sensible Defaults & Quick Tuning
Start with defaults for most liquid assets on 1Hdaily: Length 20, Multiplier 0.8, Hold 1, Quantile 0.718—yields balanced detection without excess noise. For too many false starts (choppy charts), increase Hold to 3 and Baseline Length to 70 for stricter confirmation, reducing signals by 3050%. If squeezes feel sluggish or miss quick coils, shorten Length to 14 and enable EMA baseline for snappier adaptation, but monitor for added flips. In highvol environments like options, tighten Multiplier to 0.6 and Quantile to 0.6 to focus on core ranges; reverse for calm pairs by loosening to 0.95. Always backtest tweaks on your asset's history.
What this indicator is—and isn’t
This is a volatilityfiltered visualization tool for spotting and bounding consolidation phases, best as a signal layer atop price action and trend filters—not a standalone predictor of direction or strength. It highlights setups but ignores volume, momentum, or news context, so pair with discreteness rules like higher highs/lows. Never use it alone for entries; always layer risk management, such as 12% stops beyond box extremes, and position sizing based on account drawdown tolerance.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on HeikinAshi, Renko, Kagi, PointandFigure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
MPO4 Lines – Modal Engine█ OVERVIEW
MPO4 Lines – Modal Engine is an advanced multi-line modal oscillator for TradingView, designed to detect momentum shifts, trend strength, and reversal points through candle-based pressure analysis with multiple fast lines and a reference slow line. It features divergence detection on Fast Line A, overbought/oversold return signals, dynamic coloring modes, and layered gradient visualizations for enhanced clarity and decision-making.
█ CONCEPT
The indicator is built upon the Market Pressure Oscillator (MPO) and serves as its expanded evolution, aimed at enabling broader market analysis through multiple lines with varying parameters. It calculates modal pressure using candle body size and direction, weighted against average body size over a lookback period, then normalized and smoothed via EMA. It generates four distinct oscillator lines: a heavily smoothed Slow Line (trend reference), two Fast Lines (A & B) for momentum and support/resistance, and an optional Line 4 for additional confirmation. Divergence is calculated solely on Fast Line A, with visual gradients between lines and bands for intuitive interpretation.
█ WHY USE IT?
- Multi-Layer Momentum: Combines slow trend reference with dual fast lines for precise entry/exit timing.
- Divergence Precision: Bullish/bearish divergences on Fast Line A with labeled confirmation.
- OB/OS Return Signals: Clear buy/sell markers when Fast Line A exits oversold/overbought zones.
- Dynamic Visuals: Gradient fills, line-to-line shading, and band gradients for instant market state recognition.
- Flexible Coloring: Slow Line color by direction or zero-position; fast lines by sign.
- Full Customization: Independent lengths, smoothing, visibility, and transparency — by adjusting the lengths of different lines, you can tailor results for various strategies; for example, enabling Line 4 and tuning its length allows trading based on crossovers between different lines.
█ HOW IT WORKS?
- Candle Pressure Calculation: Body = math.abs(close - open); avgBody = ta.sma(body, len). Direction = +1 (bull), –1 (bear), 0 (neutral). Weight = body / avgBody. Contribution = direction × weight.
- Rolling Sum & Normalization: Sums contributions over lookback, normalizes to ±100 scale (÷ (len × 2) × 100).
Smoothing: Applies primary EMA (smoothLen), with extra EMA on Slow Line for stability.
Line Structure:
- Slow Line = calcCPO(len1=20, smoothLen1=5) → extra EMA (5)
- Fast Line A = calcCPO(len2=6, smoothLen2=7)
- Fast Line B = calcCPO(len3=6, smoothLen3=10)
- Line 4 = calcCPO(len4=14, smoothLen4=1)
Divergence Detection: Uses ta.pivothigh/low on price and Fast Line A (pivotLength left/right). Bullish: lower price low + higher osc low. Bearish: higher price high + lower osc high. Valid within 5–60 bar window.
Signals:
- Buy: Fast Line A crosses above oversold (–30)
- Sell: Fast Line A crosses below overbought (+30)
- Slow Line color flip (direction or zero-cross)
- Divergence labels ("Bull" / "Bear")
- Band Coloring as Momentum Signal:
When Fast Line A ≤ Fast Line B → Overbought band turns red (bearish pressure building)
When Fast Line A > Fast Line B → Oversold band turns green (bullish pressure building) This dynamic coloring serves as visual confirmation of momentum shift following fast line crossovers
Visualization:
- Gradients: Fast B → Zero (multi-layer fade), Fast A ↔ B fill, OB/OS bands
- Dynamic colors: Green/red based on sign or trend
- Zero line + dashed OB/OS thresholds
Alerts: Trigger on OB/OS returns, Slow Line changes, and divergences.
█ SETTINGS AND CUSTOMIZATION
- Line Visibility: Toggle Slow, Fast A, Fast B, Line 4 independently.
Line Lengths:
- Slow Line: Base (20), Primary EMA (5), Extra EMA (5)
- Fast A: Lookback (6), EMA (7)
- Fast B: Lookback (6), EMA (10)
- Line 4: Lookback (14), EMA (1)
- Slow Line Coloring Mode: “Direction” (trend-based) or “Position vs Zero”.
- Bands & Thresholds: Overbought (+30), Oversold (–30), step 0.1.
- Signals: Enable Fast A OB/OS return markers (default: on).
- Divergence: Enable/disable, Pivot Length (default: 2, min 1).
- Colors & Appearance: Full control over bullish/bearish hues for all lines, zero, bands, divergence, and text.
Gradients & Transparency:
- Fast B → Zero: 75 (default)
- Fast A ↔ B fill: 50
- Band gradients: 40
- Toggle each gradient independently
█ USAGE EXAMPLES
The indicator allows users to configure various strategies manually, though no built-in alerts exist for them. Entry signals can include color of fast lines, crossovers between different lines, alignment of colors across lines, or consistency in direction.
- Trend Confirmation: Slow Line above zero + green = bullish bias; below + red = bearish.
- Entry Timing: Buy on Fast A crossing above –30 (circle marker), especially if Slow Line is rising or near zero.
- Reversal Setup: Bullish divergence (“Bull” label) + Fast A in oversold + green gradient band = high-probability long.
- Scalping: Fast A vs Fast B crossover in direction of Slow Line trend.
- Noise Reduction: Increase extraSmoothLen on Slow Line
█ USER NOTES
- Best combined with volume, support/resistance, or trend channels.
- Adjust lookback and smoothing to asset volatility.
- Divergence delay = pivotLength; plan entries accordingly.
Analog Flow [KedArc Quant]Overview
AnalogFlow is an advanced analogue based market projection engine that reconstructs future price tendencies by matching current price behavior to historical analogues in the same instrument. Instead of using traditional indicators such as moving averages, RSI, or regression, AnalogFlow applies pattern vector similarity analysis - a data driven technique that identifies historically similar sequences and aggregates their subsequent movements into a smooth, forward looking curve.
Think of it as a market memory system:
If the current pattern looks like one we have seen before, how did price move afterward?
Why AnalogFlow Is Unique
1. Pattern centric - it does not rely on any standard indicator formula; it directly analyzes price movement vectors.
2. Adaptive - it learns from the same instrument's past behavior, making it self calibrating to volatility and regime shifts.
3. Non repainting - the projection is generated on the latest completed bar and remains fixed until new data is available.
4. Noise resistant - the EMA Blend engine smooths the projected trajectory, reducing random variance between analogues.
Inputs and Configuration
Pattern Bars
Number of bars in the reference pattern window: 40
Projection Bars
Number of bars forward to project: 30
Search Depth
Number of bars back to look for matching analogues: 600
Distance Metric
Comparison method: Euclidean, Manhattan, or Cosine (default Euclidean)
Matches
Number of top analogues to blend (1-5): Top 3
Build Mode
Projection type: Cumulative, MeanStep, or EMA Blend (default EMA Blend)
EMA Blend Length
Smoothness of the projected path: 15
Normalize Pattern
Enable Z score normalization for shape matching: true
Dissimilarity Mode
If true, finds inverse analogues for mean reversion analysis: false
Line Color and Width
Style settings for projection curve: Blue, width 2
How It Works with Past Data
1. The system builds a memory bank of patterns from the last N bars based on the scanDepth value.
2. It compares the latest Pattern Bars segment to each historical segment.
3. It selects the Top K most similar or dissimilar analogues.
4. For each analogue, it retrieves what happened after that pattern historically.
5. It averages or smooths those forward moves into a single composite forecast curve.
6. The forecast (blue line) is drawn ahead of the current candle using line.new with no repainting.
Output Explained
Blue Path
The weighted mean future trajectory based on historical analogues.
Smoother when EMA Blend mode is enabled.
Flat Section
Indicates low directional consensus or equilibrium across analogues.
Upward or Downward Slope
Represents historical tendency toward continuation or reversal following similar conditions.
Recommended Timeframes
Scalping / Short Term
1m - 5m : Short winLen (20-30), small ahead (10-15)
Swing Trading
15m - 1h : Balanced settings (winLen 40-60, ahead 20-30)
Positional / Multi Day
4h - 1D : Large windows (winLen 80-120, ahead 30-50)
Instrument Compatibility
Works seamlessly on:
Stocks and ETFs
Indices
Cryptocurrency
Commodities (Gold, Crude, etc.)
Futures and F&O (both intraday and positional)
Forex
No symbol specific calibration needed. It self adapts to volatility.
How Traders Can Use It
Forecast Context
Identify likely short term price path or drift direction.
Reversal Detection
Flip seekOpp to true for mean reversion pattern analysis.
Scenario Comparison
Observe whether the current regime tends to continue or stall.
Momentum Confirmation
Combine with trend tools such as EMA or MACD for directional bias.
Backtesting Support
Compare projected path versus realized price to evaluate reliability.
FAQ
Q1. Does AnalogFlow repaint?
No. It calculates only once per completed bar and projects forward. The future path remains static until a new bar closes.
Q2. Is it a neural network or AI model?
Not in the machine learning sense. It is a deterministic analogue matching engine using statistical distance metrics.
Q3. Why does the projection sometimes flatten?
That means similar historical setups had no clear consensus in direction (neutral expectation).
Q4. Can I use it for live trading signals?
AnalogFlow is not a signal generator. It provides probabilistic context for upcoming movement.
Q5. Does higher scanDepth improve accuracy?
Up to a point. More depth gives more analogues, but too much can dilute recency. Try 400 to 800.
Glossary
Analogue
A past pattern similar to the current price behavior.
Distance Metric
Mathematical formula for pattern similarity.
Step Vector
Difference between consecutive closing prices.
EMA Blend
Exponential smoothing of the projected path.
Cumulative Mode
Adds sequential historical deltas directly.
Z Score Normalization
Rescaling to mean 0 and variance 1 for shape comparison.
Summary
AnalogFlow converts the market's historical echoes into a structured, statistically weighted forward projection. It gives traders a contextual roadmap, not a signal, showing how similar past setups evolved and allowing better informed entries, exits, and scenario planning across all asset classes.
Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and proper risk management when applying this strategy.
celenni//@version=6
strategy("Cruce SMA 5/20 – v6 (const TF, gap en puntos SOLO cortos, next bar open, 1 trade/ventana, anti-flip)",
overlay = true,
initial_capital = 10000,
default_qty_type = strategy.percent_of_equity,
default_qty_value = 10,
pyramiding = 0)
// === CONSTANTES ===
const string TF = "15" // fija el timeframe de cálculo (ej. "5","15","30","60","120","240","D")
const string SYM_ALLOWED = "QQQ" // símbolo permitido
// === Inputs ===
confirmOnClose = input.bool(true, "Confirmar señal al cierre (evita repaint)")
maxGapPtsShort = input.float(0.50, "Máx gap permitido en CORTOS (puntos)", 0.0, 1e6)
lenFast = input.int(5, "SMA rápida", 1)
lenSlow = input.int(20, "SMA lenta", 2)
tpPts = input.float(20.0, "Take Profit (puntos)", 0.01)
slPts = input.float(5.0, "Stop Loss (puntos)", 0.01)
// Ventanas (NY)
useSessions = input.bool(true, "Usar ventanas NY")
sess1 = input.session("1000-1130", "Ventana 1 (NY)")
sess2 = input.session("1330-1600", "Ventana 2 (NY)")
flatOutside = input.bool(true, "Cerrar posición al salir de la ventana")
// === Utilidades ===
isAllowedSymbol() =>
(syminfo.ticker == SYM_ALLOWED) or str.contains(str.upper(syminfo.ticker), str.upper(SYM_ALLOWED))
// === Series MTF (cálculo en TF) ===
closeTF = request.security(syminfo.tickerid, TF, close, barmerge.gaps_off, barmerge.lookahead_off)
smaFast = ta.sma(closeTF, lenFast)
smaSlow = ta.sma(closeTF, lenSlow)
// Señales MTF sin repaint
longSignalTF = request.security(syminfo.tickerid, TF,
ta.crossover(ta.sma(close, lenFast), ta.sma(close, lenSlow)),
barmerge.gaps_off, barmerge.lookahead_off)
shortSignalTF = request.security(syminfo.tickerid, TF,
ta.crossunder(ta.sma(close, lenFast), ta.sma(close, lenSlow)),
barmerge.gaps_off, barmerge.lookahead_off)
// === Sesiones (evaluadas en el TF del gráfico, zona NY) ===
inSess1 = useSessions ? not na(time(timeframe.period, sess1, "America/New_York")) : true
inSess2 = useSessions ? not na(time(timeframe.period, sess2, "America/New_York")) : true
inSession = inSess1 or inSess2
// Inicio de ventanas y contadores (1 trade por ventana)
var bool wasIn1 = false, wasIn2 = false
win1Start = inSess1 and not wasIn1
win2Start = inSess2 and not wasIn2
wasIn1 := inSess1
wasIn2 := inSess2
var int tradesWin1 = 0, tradesWin2 = 0
if win1Start
tradesWin1 := 0
if win2Start
tradesWin2 := 0
justOpened = strategy.position_size != 0 and strategy.position_size == 0
if justOpened
if inSess1
tradesWin1 += 1
if inSess2
tradesWin2 += 1
canTakeMore =
(inSess1 and tradesWin1 < 1) or
(inSess2 and tradesWin2 < 1) or
(not useSessions)
// === Filtro NO-GAP SOLO para CORTOS (en PUNTOS) ===
// Compara OPEN actual vs CLOSE previo; se evalúa en la barra donde se EJECUTA (apertura actual).
gapPts = math.abs(open - close )
shortGapOK = maxGapPtsShort <= 0 ? true : (gapPts <= maxGapPtsShort)
// === Anti-flip y gating ===
isFlat = strategy.position_size == 0
canSignal = (not confirmOnClose or barstate.isconfirmed)
canTrade = isAllowedSymbol() and inSession and canTakeMore and canSignal
// === ENTRADAS (se colocan al cierre; se llenan en la apertura siguiente) ===
// Largos: sin filtro de gap
if canTrade and isFlat and longSignalTF
strategy.entry("Long", strategy.long)
// Cortos: requieren shortGapOK
if canTrade and isFlat and shortSignalTF and shortGapOK
strategy.entry("Short", strategy.short)
// === TP/SL en puntos ===
if strategy.position_size > 0
e = strategy.position_avg_price
strategy.exit("TP/SL Long", from_entry="Long", limit=e + tpPts, stop=e - slPts)
if strategy.position_size < 0
e = strategy.position_avg_price
strategy.exit("TP/SL Short", from_entry="Short", limit=e - tpPts, stop=e + slPts)
// === Cierre fuera de sesión ===
if flatOutside and not inSession and strategy.position_size != 0
strategy.close_all("Fuera de sesión")
// === Visual ===
plot(smaFast, color=color.new(color.teal, 0), title="SMA 5 ("+TF+")")
plot(smaSlow, color=color.new(color.orange, 0), title="SMA 20 ("+TF+")")
plotshape(longSignalTF and canTrade and isFlat, title="Compra", style=shape.triangleup,
location=location.belowbar, color=color.new(color.teal,0), size=size.tiny, text="Long")
plotshape(shortSignalTF and canTrade and isFlat and shortGapOK, title="Venta", style=shape.triangledown,
location=location.abovebar, color=color.new(color.red,0), size=size.tiny, text="Short")
Volume Spike & RSI | Buy/Sell SignalsThis indicator is designed for intraday traders who seek clean, actionable buy and sell signals using a blend of momentum (RSI) and volume analysis. It automatically detects momentum bursts based on the RSI crossing user-defined levels with a simultaneous volume spike—helping filter out weak or late signals. Signals are highlighted by discrete, color-coded arrows and non-overlapping labels for easy chart interpretation without clutter.
How it works
Buy signal: Generated when the RSI crosses above your chosen “Buy Threshold” (default 60) AND the volume on that bar is above its 20-period average. This suggests strong momentum with real volume support.
Sell signal: Generated when the RSI crosses below your chosen “Sell Threshold” (default 40) AND the volume on that bar is above average, signaling momentum loss or bearish pressure.
Visuals:
Buy signals are illustrated by green upward labels/arrows beneath candles.
Sell signals feature red downward labels/arrows above candles.
All signals adjust spacing dynamically, so they never overlap the price bar.
Bars are colored lime when momentum and volume are both high.
Customization
Fully adjustable RSI “Buy” and “Sell” levels.
Customizable sensitivity for the volume spike via the SMA period input.
Label spacing can be tuned in settings so signals always remain visible, regardless of volatility.
Alerts
Built-in alert conditions for both buy and sell events, compatible with TradingView’s native alerting system.
How to use
1. Add the indicator to your intraday chart (works on any timeframe).
2. When a buy or sell label/arrow appears, it marks a technical momentum burst with real volume conviction. Use these as actionable entries or exits—always manage risk with your personal trading plan.
3. Adjust parameters in the script’s settings as needed for your market or style.
Originality & credits
The logic and code were developed specifically for this script, combining classic RSI levels with volume confirmation and careful non-overlapping visual presentation to ensure clarity for intraday trading.
This tool is for educational and informational purposes only. It is not financial advice or a guarantee of performance. Always test on demo before using in live trading.






















