Sᴜᴘᴘᴏʀᴛ ᴀɴᴅ Rᴇꜱɪꜱᴛᴀɴᴄᴇ , is undoubtedly one of the key concepts of technical analysis █ Sᴜᴘᴘᴏʀᴛ ᴀɴᴅ Rᴇꜱɪꜱᴛᴀɴᴄᴇ Dᴇꜰɪɴɪᴛɪᴏɴ Support and Resistance terms are used by traders to refer to price levels on charts that tend to act as barriers, preventing the price of an financial instrument from getting pushed in a certain direction. A support level is a price...
Can be used to find the direction of a trend Determination of support and resistance levels In combination, it can assess the short and long term Main functions Trend Short Perspective - Shows the trend at short distances. Main Market Trend - Reflects the main market trend, can be used as a signal. Intermediate Moving Average - Typically the last support line in...
- Based on Coach AK formula of determining collection area of retracement stock. - If price below collection area, collect in tranches.
PMA (Pivot Moving average) is a set of 3 EMAs on HLC3 data. When all PMAs are rising, market is considered bullish and the color of PMA becomes green. When all PMAs are falling, market is considered bearish and the color of the PMA becomes red. Otherwise, market is considered ranging and the color becomes orange. It's also possible to set the resolution of...
Calculates fast and slow moving averages of lengths(inputs= 'n_fast', 'n_slow'). Plots the price level of the most recent cross. If bullish cross (fast crosses up over slow), color = green, and color=red if cross was bearish.
Classic diagonal support and resistance based on pivot points. As a result, they form triangles, wedges, channels and other patterns. Realtime update up to 1 second chart.
3 Weeks Tight - Introduction 3 weeks tight is a bullish continuation pattern discovered by IBD's founder, William O'Neil. The pattern can used as an opportunity to add to an existing position as it often occurs after a breakout above a cup with handle or other technical pattern. The 3 weeks tight pattern forms when a stock closes within approximately 1% to 1.5%...
For those who trade structure based support and resistance methods from wicks. Useful for break and retest trading methods. Mark out the zone and look for S/R flips. Calculation uses 3 wicks that are next to each other to spot structure. Includes optional filter for filtering wicks smaller than the average over X previous periods.
Due to the request of some users and inspired by "5 Day ADR ICT Intraday Tracker" I updated "CPR Width" and added extra functionality for your convenience.
█ OVERVIEW After some chart measures, I noticed that if we took the difference between fast and slow Moving Average lines and apply the Fibonacci ratios, we get a very reliable support and resistance level for each bar. So, I made this script to help me (and anyone who wants to use it) know where we should close or put stops in our orders. █ HOW TO USE IT:...
Some Previous Day Levels (High, Low, EQ) and the daily open. This are usefull S/R Levels.
This code is modified to draw the first 15 minutes(variable in setting by default 15m is set) of the high and lows through out the day. It will work on time frames less than than or equal to 1st input. Hope this code helps you all. IMPORTANT SETTING DETAILS: 1.Res = input(title="Starting X minutes lines to be Displayed",defval="15",...
Finds Price Support Based on last 20 Bar Low, 40 Bar low, and 80 Bar low, and calculated using 1x 80 bar low, 0.5x 40 bar low, and 0.2x of the 20 bar low. Feel free to check out the script! How to use: Add to your chart, drag the indictor to the main chart, then merge both scales on the right!
This indicator plots pivot points with support and resistance lines based on average true range (ATR). ATR is one of the best volatility and trading range predictors, so it can be very useful for finding confluence in any strategy.
Plots the gold price (USD) for the quantities (grams) identified as support or resistance in the indicator settings. Default values are: 75 gold grams 300 gold grams 500 gold grams 1000 gold grams 5000 gold grams More context: The purchasing power of Bitcoin
This algorithm draws supports/resistance levels automatically based on historic candle density at each height. The basic idea is the levels where price is rejected quickly is likely to have fewer candles in the past than the levels above and below. This does not take volume into account. The lookback and number of levels has to be kept low to prevent too many...
We all know OBV plays a very important role in figuring out price volume divergences and it can help anyone analyse the directivity force of the market and has a very good tradeoff if applied correctly In this Experiment i have derived liquidity levels for OBV using volume jumps inside the market A volume jump is classified as: Good Volume Jump = 1.618 times...