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S&P 500ES1!
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Germany 10YDE10Y
Japan 10Y YieldJP10Y
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Editors' picks

POST FOMC Analysis For The S&P 500 ES1!For traders it's not about what the Fed does or is going to do, it's about how the market reacts to what the Fed does. Today the FOMC raised rates by .25 basis points and the markets took off. As of right now the bulls are in control, but for how much longer? In today's video I go over how I will determine a market top and ways to tell if this rally still has legs. I use auto anchored VWAP, Bollinger Bands, and the RSI. Past performance is not indicative of future results. This is for educational purposes only. Derivatives trading is not suitable for all investors.
Editors' picks
3
The yield curve has to un-invert eventually… right?Those who have been reading our past 2 ideas will know we’ve been harping on and on about expected rate path and policy timelines. Why the recent obsession you ask? Because we think we’re on the cusp of major turning points. So, for the third time, let’s look at the market’s expected policy rate path. With FOMC coming up this week, we are expecting a 25bps hike followed by some commentary/guidance on the next cause of action. Based on CME’s Fedwatch tool, markets are expecting a last hike of 25bps in the March FOMC before a pause in the hiking cycle. Now keep that in mind. One interesting relationship we can try to observe is how the 2Yr-10Yr yield spread behaves in relation to where the Fed’s rate is. We note a few things here. Firstly, the ‘peak’ point of the 2Yr-10Yr spread seems to happen right around the point when rate hikes are paused. With the Fed likely to pause as soon as March, we seem to be on the same path, setting up for a potential decline in the spread. Secondly, the average of the past 3 inversions lasted for around 455 days, and if you count just the start of the inversion to the peak, we’re looking at an average of 215 Days. Based on historical averages, we are past the middle mark and have also likely peaked, with current inversion roughly 260 days deep. Looking at the shorter end of the yield curve, we can apply the same analysis on the 3M-10Yr yield spread. The ‘peak’ point of the 3M-10Yr yield spread is marked closer to the point when the Fed cuts, except in 2006, while the average number of days in inversion was 219 days and the average number of days to ‘peak’ inversion was 138 days. With the current inversion at 105 days for the 3M-10Yr Yield spread, we are likely halfway, but the peak is likely not yet in. (Although eerily close to when the Fed is likely to announce its last hike, March FOMC, 51 days away). Comparing the 2 yield curve spreads, we think a stronger case can be made for the 2Yr-10Yr spread having peaked and likely to un-invert soon. Handily, CME has the Micro Treasury Yield Futures, quoted in yield terms, which allows us to express this view in a straightforward manner allaying the complications with DV01 calculation. We create the short yield spread position by taking a short position in the Micro 2-Yr Yield Futures and a long position in the Micro 10-Yr Yield Futures, at an entry-level of 0.623, with 1 basis point move equal to 10 USD. The charts above were generated using CME’s Real-Time data available on TradingView. Inspirante Trading Solutions is subscribed to both TradingView Premium and CME Real-time Market Data which allows us to identify trading set-ups in real-time and express our market opinions. If you have futures in your trading portfolio, you can check out on CME Group data plans available that suit your trading needs www.tradingview.com Disclaimer: The contents in this Idea are intended for information purpose only and do not constitute investment recommendation or advice. Nor are they used to promote any specific products or services. They serve as an integral part of a case study to demonstrate fundamental concepts in risk management under given market scenarios. A full version of the disclaimer is available in our profile description. Reference: www.cmegroup.com www.cmegroup.com
Editors' picks
10
Short-term up with range later in 2023Why market is entering into short-term bullishness again and latter uncertainty or range? We will do both technical and fundamental analysis in this video tutorial, and we will see how both analyses can affirm each other. Content: . Why market is entering into a short-term bullishness? (Fundamental & Technical studies) . Subsequently the market will enter into a range (Fundamental & Technical studies) CME Micro Nasdaq Futures Minimum fluctuation 0.25 = $0.50 1 = $2 10 = $20 100 = $200 1000 = $2,000 Disclaimer: • What presented here is not a recommendation, please consult your licensed broker. • Our mission is to create lateral thinking skills for every investor and trader, knowing when to take a calculated risk with market uncertainty and a bolder risk when opportunity arises. CME Real-time Market Data help identify trading set-ups in real-time and express my market views. If you have futures in your trading portfolio, you can check out on CME Group data plans available that suit your trading needs www.tradingview.com
Editors' picks
Long
3
The moment of truth is upon us, BTC's huge potentialThis week things are very simple and the stakes are very high. In every significant timeframe, you can see how BTC is at a pivotal point but none other than the 1-week time frame gives us a better view. In this time frame alone you can see Bitcoin price having to overcome the 50MA (yellow wavy line), the 200MA (white wavy line), long-time support (thick straight white line), and midterm resistance (Thin straight white line). So what are we looking for? BTC has to jump up and close above all of these obstacles in a decisive way, anything less than that will signal weakness. Exactly what do I mean by decisive? BTC needs to have a very good week (long green candle) this or next at the very latest and close at 28k or 27k. As of right now 1 of the 4 obstacles has been conquered -- the midterm resistance, which is the weakest. Keep watching this timeframe. Hit and follow and I will post more. There's so much to unpack in this timeframe alone: The 200MA (white wavy line) has been for many years support to BTC but it was lost back in June 2022. The 200MA (white wavy line) and 50MA (yellow line) are going to make a death cross unless BTC pulls up. The thick white straight line was strong support and was lost back in September 2022, now it is strong resistance This is as hard as it gets for BTC. If it goes over decisively and it starts to close above I will be convinced of a recovery. This chart I call lines only, it has made me a lot of money due to its reliability. Candles can create a lot of noise and make a chart look too busy so I created a chart with simplicity and reliability. How does it work? When all color lines cross under the white line it's lights out and we are going down for a while and when all lines have crossed above the white line it's all good times. As you can see so far it looks like good times are ahead but I do not make a move on short-term trades unless all lines have crossed. VERY IMPORTANT: Hitting the "Like" button is like a tip, please don't forget to do so after reading, this is your way of thanking me for my time and so I thank you for yours.
Editors' picks
33
BITCOIN The month is closing on an enormous buy signalWe only look at Bitcoin (BTCUSD) on the monthly time-frame when it is necessary to keep a long-term perspective and not miss the big picture. This is one of those times as the monthly (1M) candle, following January's hyper strong rise and impressive start to the year, is now testing the 1M MA50 (blue trend-line). This is a critical Resistance and last time BTC closed above it was on July 2022. Needless to say, a close above it will be a massive buy signal. The true catalyst though may be the 1M RSI. As you see it is also testing its MA trend-line (yellow), having been trading below it since May 2022. The real interesting fact here is that every time the 1M RSI broke above its MA, Bitcoin was well past its bottom and trading on its new Bull Cycle. An astonishing feat is that the time range between those RSI monthly break-outs is quite similar, 39 months then 42 months and if it closes above it now, then 45 months. We can say that each sequence is 3 months longer. On top of that, the 1M candles that made those break-outs are not far off in terms of rises, each representing very strong monthly closings (+47%, +33%, +33% and now +40%). Based on all the above, it appears that the market is on the verge of breaking out to a new multi-month rally. Do you agree? Feel free to let me know in the comments section below! ------------------------------------------------------------------------------- ** Please LIKE 👍, FOLLOW ✅, SHARE 🙌 and COMMENT ✍ if you enjoy this idea! Also share your ideas and charts in the comments section below! This is best way to keep it relevant, support me, keep the content here free and allow the idea to reach as many people as possible. ** ------------------------------------------------------------------------------- 💸💸💸💸💸💸 👇 👇 👇 👇 👇 👇
Editors' picks
Long
34
SPX: A Dangerous Resistance. 👀• The SPX is correcting today, back to its 21 ema in the 1h chart, as usual; • In the daily chart, there’s still some upside left, as we have yet to retest the 4,100 area, but the index is quite far from its 21 ema in this time frame; • If it loses the 21 ema in the 1h chart, or does a clear bearish structure, then it might correct to the 21 ema in the daily chart, around the 3,800; • As long as the trend remains bullish in the 1h chart, hardly a sharper correction will materialize; • Therefore, let’s pay attention to the 21 ema (1h), and on how the index will react from here, as it is near the resistance at 4,100; • So far, no clear top sign. I’ll keep you updated on this, as usual. Remember to follow me to keep in touch with my daily analyses!
Editors' picks
12
All Declines Are Not EqualIt is pertinent to remember that there are always stocks to sell into rising markets and stocks to buy into falling markets. Even in a general market correction it is important to distinguish that all declines are not equal under the surface. By that we mean that while prices may all head in a southern direction, what is important is the point from which that decline began in the more structural price pattern of each individual stock. In other words, we seek to identify what the individual price patterns technically signify in the supply and demand factors underlying the decline. In the past, we have characterized declines in three distinct patterns (Fig 1). Figure 1: Chart Pattern A (Figure 2) for educational examples): Declines that may occur within the framework of a structural uptrend in a stock. This pattern would imply that the stock had emerged from a base, or from a secondary consolidation within an uptrend and has declined, or may decline, back toward (or into) that congestion area that now represents support (or an area of demand) for the stock; or pull back within an extended uptrend to create a new area of congestion representing support. We would not expect stocks representative of this pattern technically to fall to new lows (although in any volatile environment, support levels can be temporarily breached). On balance, we would perceive these Chart A patterns to be among the market leaders, which could be bought into weakness with the longer-term trend in mind. Notice price uptrends, breakouts through multi-year resistance levels; perhaps a secondary resistance level and the Monthly MACDs on Buy signals (rising). Figure 2: Examples of Chart A: As an Educational Exercise FLEX, JBL, GFF, Monthly: Chart Pattern B (see Figure 3 for educational examples): Initial declines, which break below an established support level following an extended uptrend, frequently defining a “topping“ pattern (see arcs) and initiating a structural downtrend for the stock. The Monthly MACD has moved into a declining Sell signal (see red arrows) often with a negative divergence. Patterns of this type can be expected to fall to new lows, often following a kickback rally toward the broken support, now defined as resistance (offering an opportunity to sell into strength), and to underperform the market during weakness (go down more). This is the pattern to watch for with stocks and / or groups, to guard against a reversal of trend from positive to negative (from a trend of demand to one of supply). Some names that had continued to lift in uptrends during the initial markets’ decline through 2022 are now appearing vulnerable (see Figure 3 below). Figure 3. Examples of Chart B; As an Educational Exercise UNH, LHX, Monthly Chart Pattern C (see Figure 4 for educational examples): Secondary declines, generally occur in stocks that have experienced initial structural declines (Pattern B) in the recent past, and thereafter may have bounced into resistance (formerly support) where they encountered supply (selling) and have thereafter fallen back, sometimes establishing a trading range that is eventually penetrated once again to the downside, accompanied by a declining MACD, on a Sell signal; thus extending the structural decline already in place. New lows in price are generally established for the stock. Such stocks experience their own private corrections and bear markets, sometimes even under the surface of a rallying equity market, as well as into an overall declining market. By virtue of observing the differing characteristics of individual stock declines, one can utilize rallies to sell weaker names, but also utilize dips to accumulate stronger names, as evidenced by which of the three chart patterns a stock portrays. However, in a general market decline, whatever the pattern, one might still consider overall protective measures. Figure 4. Examples of Chart C: As an Educational Exercise AMZN, PYPL, Monthly. Louise Yamada CMT LYAdvisors LLC Shared content and posted charts are intended to be used for informational and educational purposes only. The CMT Association does not offer, and this information shall not be understood or construed as, financial advice or investment recommendations. The information provided is not a substitute for advice from an investment professional. The CMT Association does not accept liability for any financial loss or damage our audience may incur.
Editors' picks
25
Playboy Stock Options trading - Rolling puts into sharesSummary: picking through the garbage to see if any value left for future. bankruptcy or big move in 5-10 years. Rolling short puts into stock for potential change based on new catalyst of joint venture. key concepts: Sizing- Having enough but not too much of an investment idea in a portfolio. Risk/reward- Assigning probabilities to various up and down scenarios. Choosing exposure based on opportunity. Expected returns- Factoring most likely outcomes of decisions and positions. Long options vs stock for example. Survivability- Choosing a trade structure or vehicle that allows ability to endure wild adverse moves. FATSO- 5 level of analysis acronym. F- fed not pivoting yet, but hints at easing and market likes that. A- accounting wise plby is beat up and priced for potential bankruptcy at low price/sales, price/book. T- Technical trend shows its still in downtrend, some volume accumulation, way below 200 day ma S- social sentiment, used to be popular meme stock, some young crowd still follows, did nfts so associated, low hype now 0- options view is still very volatile, high IV, stock price is so low that trading the options doesnt make much sense *stocks below 5$ are penny stocks, so many institutions cant even hold the shares if their mandates wont allow. warning: penny stocks are risky and will lose you money. this is not advice. you will lose money.
Editors' picks
Long
26

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Streams

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Snaps

February 01February 01

Stream on

Remember the days when you had to buy a CD, take it home, and play it – only to discover you don’t even like it? Or more recently, when you had to log onto iTunes, purchase songs, and download them? It was a simpler time. And for companies who sold the music – a more profitable one too. But that’s not to say that some companies aren't making serious money today. In modern times, it falls to streaming giants to bridge the gap between the recording studio and the headphones.

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SPOT
Spotify pops off

Spotify’s recent earnings report shows that the streaming platform’s still got it.

CELUSD
Celsius looking fishy

The bankruptcy proceedings of Celsius haven't exactly painted the crypto lender in a positive light.

F
Ford goes tit for tat

The success of Tesla’s recent price cuts has got other EV manufacturers thinking it could work for them too.

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Meta Platforms, IncMETA
Carvana CoCVNA
Coinbase Global, IncCOIN
NVIDIA CorporationNVDA
GoogleGOOG
Marathon Digital Holdings, IncMARA
AMC Entertainment Holdings, IncAMC
Amazon Com IncAMZN
AppleAAPL
Netflix, IncNFLX

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Trade ideas

BITCOIN price, SP500, FOMC-Fed Funds Rate. Today will be hot🔥In 9 hours (from the moment the idea is published), the FOMC meeting will announce the new Fed Funds rate At the previous meeting on 12/14/2022, the rate was raised from 4.00% to 4.50% And then, the forecast was more than 70% that on 02/01/2023 the rate would be raised by another +0.5%, and on 03/22/2023 +0.25% However, over the past month, US economic indicators have shown positive dynamics , sometimes even better than expected. CPI 12/01/2023 - 6.5%, and GDP with a forecast of 2.6%, - 26.01.23 = 2.9%. Everything was as the Fed wanted and as the markets were "guided". Most financial markets took this news very positively, including the cryptocurrency market. Roughly speaking, the announcement of today's rate has already been "priced in" to current prices. Moreover, 99.7% expect that due to improved macroeconomic indicators, the US will announce a rate hike of only +0.25% today, not 0.5% as predicted a month earlier. And more than 82% believe that the rate will be raised by +0.25% to 5% in total on 03/22/2013. To summarize: - the announcement of a rate within the expected range of 4.50-4.75% will act as a driver for the continued growth of both the SP 500 and the crypto market. Of course, increased volatility is guaranteed, which may be used to try to knock "extra passengers" out of long positions with a squeeze down. - The announcement of a rate of 5.00% or higher is guaranteed to bring down both the SP 500 and the crypto market. How long the fall down will last is "another question". We have depicted these two possible scenarios as fractals. Which one do you like better: blue or white? Vote in the comments SP500 also has two possible scenarios: _____________________ Did you like our analysis? Leave a comment, like, and follow to get more
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GBPJPY H2: BEST Level to SHORT/HOLD +150/+300 pips(SL/TP)(SWING)Why get subbed to me on Tradingview? -TOP author on TradingView -2000+ ideas published -15+ years experience in markets -Professional chart break downs -Supply/Demand Zones -TD9 counts / combo review -Key S/R levels -No junk on my charts -Frequent updates -Covering FX/crypto/US stocks -before/after analysis -24/7 uptime so constant updates 🎁Please hit the like button and 🎁Leave a comment to support our team! GBPJPY H2: BEST Level to SHORT/HOLD +150/+300 pips(SL/TP)(SWING) IMPORTANT NOTE: speculative setup. do your own due dill. use STOP LOSS. don't overleverage. tagged as SHORT because 300 pips DUMP still remains. recommend to SHORT/HOLD IT. 🔸 Summary and potential trade setup ::: GBPJPY H2 hour candle chart review ::: SPECULATIVE reversal trade setup ::: 160.00 RS DUMP heavy overhead resistance ::: DUMP in progress already ::: SHORT/HOLD at MARKET best strat ::: RS of the HS pattern setup ::: 300 pips downside remains ::: distribution in progress / TOPPED OUT ::: expecting fresh selling / DUMP ::: TP1 BEARS +150 TP2 BEARS +300 pips ::: final TP BEARS is 157 00 short MARKET NOW ::: recommended strategy: SHORT/HOLD MARKET ::: 160.00 heavy rejection new dump in progress now ::: SWING trade setup do not expect ::: fast/miracle overnights gains here ::: good luck traders 🔸 Supply/Demand Zones ::: 160.50 fresh demand zone ::: 157.00 fresh supply zone 🔸 Other noteworthy technicals/fundies ::: TD9 /Combo update: N/A ::: Sentiment short-term: BEARS/DUMP ::: Sentiment outlook mid-term: BEARS/DUMP RISK DISCLAIMER: Trading Futures , Forex, CFDs and Stocks involves a risk of loss. Please consider carefully if such trading is appropriate for you. Past performance is not indicative of future results. Always limit your leverage and use tight stop loss.
31
ArmanShabanTrading |🔴 XAUUSD - Heavy Correction is Coming ?An Important TA of $GOLD : As you can see, since yesterday the price faced buying pressure after reaching 1900.870 and was able to grow strongly to the level of 1931$, now the price is trading in the range of 1924$ and according to the today's news , I give the probability of the price falling from this range , I have specified 2 scenarios on the chart, which are accurately and detailed , the targets are $1920, $1918, and $1906, respectively! Follow me for more analysis & Feel free to ask any questions you have, I'm here to help. ⚠️ This Analysis will be updated ... 👤 Arman Shaban : @ArmanShabanTrading 📅 02. 01 .2023 ⚠️(DYOR) ❤️ If you apperciate my work , Please like and comment , It Keeps me motivated to do better ❤️
21
DYDX - Double Bottom's Neckline Broken 👌Hello TradingView Family / Fellow Traders. This is Richard, as known as theSignalyst. DYDX has been one of the most gainers throughout January with over 200% move. DYDX broke a yearly range in the shape of a double bottom in blue, confirming a long-term shift in momentum to bullish. 🏹 The bulls already took over by breaking above the upper blue neckline. As per my trading plan, as DYDX retests the zone, I will be looking for buy setups on lower timeframes to catch the next impulse movement upward. 📚 Always follow your trading plan regarding entry, risk management, and trade management. Good luck! All Strategies Are Good; If Managed Properly! ~Rich
Long
20
NZDCHF > The Best Place to Buy with Good RRR!!Analysis of #NZDCHF Hi traders, today we will have a look at #NZDCHF we have a beautiful bullish harmonic pattern as you can see it's right now at the entry point but if you decide to enter here then you will have a reverse reward to risk which is something I don't like I prefer to wait for the market to push further down to test my structure support level also strong demand zone and provide a valid reason to enter with a favorable reward to risk I hope you guys found this helpful, if you are new here click on follow, to get these ideas delivered straight to your email inbox, I will see you guys at the next one Thanks for your continued support!
24
🥇 GOLD False breakout. LongGold is in a consolidation phase and essentially stands still. Yesterday everyone was fooled by the fact that a strong downward momentum activated various orders (stoplosses, sales, etc.) And today the price is rising - this is the essence of consolidation and trading from the limits 1) The price forms a reversal pattern. Dark rectangle retest and momentum is a positive sign 2) The price passes upwards the area of liquidity by the volume profile indicator. If the price fixes above 1925-1927, gold will start to rise 3) Fixing the price above the ascending black line will open the way to 1938 and 1948 4) The trend is upward. It's worth looking for strong support to buy. I expect fixation of the price above the volume density peak - the area of 1925-1928 and growth to 1938 and 1948
17

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Pine scripts

Smart Money Concepts [LuxAlgo]This all-in-one indicator displays real-time market structure (internal & swing BOS / CHoCH), order blocks, premium & discount zones, equal highs & lows, and much more...allowing traders to automatically mark up their charts with widely used price action methodologies. Following the release of our Fair Value Gap script, we received numerous requests from our community to release more features in the same category. "Smart Money Concepts" (SMC) is a fairly new yet widely used term amongst price action traders looking to more accurately navigate liquidity & find more optimal points of interest in the market. Trying to determine where institutional market participants have orders placed (buy or sell side liquidity) can be a very reasonable approach to finding more practical entries & exits based on price action. The indicator includes alerts for the presence of swing structures and many other relevant conditions. Features This indicator includes many features relevant to SMC, these are highlighted below: Full internal & swing market structure labeling in real-time Break of Structure (BOS) Change of Character (CHoCH) Order Blocks (bullish & bearish) Equal Highs & Lows Fair Value Gap Detection Previous Highs & Lows Premium & Discount Zones as a range Options to style the indicator to more easily display these concepts Settings Mode: Allows the user to select Historical (default) or Present, which displays only recent data on the chart. Style: Allows the user to select different styling for the entire indicator between Colored (default) and Monochrome. Color Candles: Plots candles based on the internal & swing structures from within the indicator on the chart. Internal Structure: Displays the internal structure labels & dashed lines to represent them. (BOS & CHoCH). Confluence Filter: Filter non-significant internal structure breakouts. Swing Structure: Displays the swing structure labels & solid lines on the chart (larger BOS & CHoCH labels). Swing Points: Displays swing points labels on chart such as HH, HL, LH, LL. Internal Order Blocks: Enables Internal Order Blocks & allows the user to select how many most recent Internal Order Blocks appear on the chart. Swing Order Blocks: Enables Swing Order Blocks & allows the user to select how many most recent Swing Order Blocks appear on the chart. Equal Highs & Lows: Displays EQH/EQL labels on chart for detecting equal highs & lows. Bars Confirmation: Allows the user to select how many bars are needed to confirm an EQH/EQL symbol on chart. Fair Value Gaps: Displays boxes to highlight imbalance areas on the chart. Auto Threshold: Filter out non-significant fair value gaps. Timeframe: Allows the user to select the timeframe for the Fair Value Gap detection. Extend FVG: Allows the user to choose how many bars to extend the Fair Value Gap boxes on the chart. Highs & Lows MTF: Allows the user to display previous highs & lows from daily, weekly, & monthly timeframes as significant levels. Premium/Discount Zones: Allows the user to display Premium, Discount, and Equilibrium zones on the chart Usage Users can see automatic CHoCH and BOS labels to highlight breakouts of market structure, which allows to determine the market trend. In the chart below we can see the internal structure which displays more frequent labels within larger structures. We can also see equal highs & lows (EQH/EQL) labels plotted alongside the internal structure to frequently give indications of potential reversals. In the chart below we can see the swing market structure labels. These are also labeled as BOS and CHoCH but with a solid line & larger text to show larger market structure breakouts & trend reversals. Users can be mindful of these larger structure labels while trading internal structures as displayed in the previous chart. Order blocks highlight areas where institutional market participants open positions, one can use order blocks to determine confirmation entries or potential targets as we can expect there is a large amount of liquidity at these order blocks. In the chart below we can see 2 potential trade setups with confirmation entries. The path outlined in red would be a potential short entry targeting the blue order block below, and the path outlined in green would be a potential long entry, targeting the red order blocks above. As we can see in the chart below, the bullish confirmation entry played out in this scenario with the green path outlined in hindsight. As price breaks though the order blocks above, the indicator will consider them mitigated causing them to disappear, and as per the logic of these order blocks they will always display 5 (by default) on the chart so we can now see more actionable levels. The Smart Money Concepts indicator has many other features and here we can see how they can also help a user find potential levels for price action trading. In the screenshot below we can see a trade setup using the Previous Monthly High, Strong High, and a Swing Order Block as a stop loss. Accompanied by the Premium from the Discount/Premium zones feature being used as a potential entry. A potential take profit level for this trade setup that a user could easily identify would be the 50% mark labeled with the Fair Value Gap & the Equilibrium all displayed automatically by the indicator. Conclusion This indicator highlights all relevant components of Smart Money Concepts which can be a very useful interpretation of market structure, liquidity, & more simply put, price action. The term was coined & popularized primarily within the forex community & by ICT while making its way to become a part of many traders' analysis. These concepts, with or without this indicator do not guarantee a trader to be trading within the presence of institutional or "bank-level" liquidity, there is no supporting data regarding the validity of these teachings.
Pine Script™ indicator
420
CVD - Cumulative Volume Delta (Chart)█   OVERVIEW This indicator displays cumulative ​volume delta (​CVD) as an on-chart oscillator. It uses intrabar analysis to obtain more precise ​volume delta information compared to methods that only use the chart's timeframe. The core concepts in this script come from our first ​ CVD indicator , which displays CVD​ values as plot candles in a separate indicator pane. In this script, CV​D values are scaled according to price ranges and represented on the main chart pane. █   CONCEPTS Bar polarity Bar polarity refers to the position of the close price relative to the open price. In other words, bar polarity is the direction of price change. Intrabars Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 bars at the lower timeframe of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar. Lower timeframes (LTFs) A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script utilizes a LTF to analyze intrabars, or price changes within a chart bar. The lower the ​LTF, the more intrabars are analyzed, but the less chart bars can display information due to the limited number of intrabars that can be analyzed. Volume delta Volume delta is a measure that separates ​volume​ into "up" and "down" parts, then takes the difference to estimate the net demand for the asset. This approach gives traders a more detailed insight when analyzing volume​ and market sentiment. There are several methods for determining whether an asset's volume​ belongs in the "up" or "down" category. Some indicators, such as On Balance Volume​ and the Klinger Oscillator , use the change in price between bars to assign ​volume​ values to the appropriate category. Others, such as Chaikin Money Flow , make assumptions based on open, high, low, and close prices. The most accurate method involves using tick data to determine whether each transaction occurred at the bid or ask price and assigning the ​volume​ value to the appropriate category accordingly. However, this method requires a large amount of data on historical bars, which can limit the historical depth of charts and the number of symbols for which tick data is available. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate ​volume delta on historical bars on our charts. This indicator uses intrabar analysis to achieve a compromise between simplicity and accuracy in calculating ​volume delta on historical bars. Our Volume Profile indicators use it as well. Other ​volume delta indicators in our Community Scripts , such as the Realtime 5D Profile , use real-time chart updates to achieve more precise ​volume delta calculations. However, these indicators aren't suitable for analyzing historical bars since they only work for real-time analysis. This is the logic we use to assign intrabar ​volume to the "up" or "down" category:  • If the intrabar's open and close values are different, their relative position is used.  • If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.  • As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used. Once all intrabars comprising a chart bar are analyzed, we calculate the net difference between "up" and "down" intrabar volume​ to produce the volume​ delta for the chart bar. █   FEATURES CVD resets The "cumulative" part of the indicator's name stems from the fact that calculations accumulate during a period of time. By periodically resetting the volume​ delta accumulation, we can analyze the progression of ​volume delta across manageable chunks, which is often more useful than looking at ​volume delta accumulated from the beginning of a chart's history. You can configure the reset period using the "CVD Resets" input, which offers the following selections:  • None : Calculations do not reset.  • On a fixed higher timeframe : Calculations reset on the higher timeframe you select in the "Fixed higher timeframe" field.  • At a fixed time that you specify.  • At the beginning of the regular session .  • On trend changes : Calculations reset on the direction change of either the Aroon indicator, Parabolic SAR , or Supertrend .  • On a stepped higher timeframe : Calculations reset on a higher timeframe automatically stepped using the chart's timeframe and following these rules: Chart TF ​HTF < 1min 1H < 3H 1D <= 12H 1W < 1W 1M >= 1W 1Y Specifying intrabar precision Ten options are included in the script to control the number of intrabars used per chart bar for calculations. The greater the number of intrabars per chart bar, the fewer chart bars can be analyzed. The first five options allow users to specify the approximate amount of chart bars to be covered:  • Least Precise (Most chart bars) : Covers all chart bars by dividing the current timeframe by four.   This ensures the highest level of intrabar precision while achieving complete coverage for the dataset.  • Less Precise (Some chart bars) & More Precise (Less chart bars) : These options calculate a stepped ​LTF in relation to the current chart's timeframe.  • Very precise (2min intrabars) : Uses the second highest quantity of intrabars possible with the 2min ​LTF.  • Most precise (1min intrabars) : Uses the maximum quantity of intrabars possible with the 1min ​LTF. The stepped lower timeframe for "Less Precise" and "More Precise" options is calculated from the current chart's timeframe as follows: Chart Timeframe Lower Timeframe Less Precise More Precise < 1hr 1min 1min < 1D 15min 1min < 1W ​2hr​ 30min > 1W 1D 60min The last five options allow users to specify an approximate fixed number of intrabars to analyze per chart bar. The available choices are 12, 24, 50, 100, and 250. The script will calculate the LTF​ which most closely approximates the specified number of intrabars per chart bar. Keep in mind that due to factors such as the length of a ticker's sessions and rounding of the LTF​, it is not always possible to produce the exact number specified. However, the script will do its best to get as close to the value as possible. As there is a limit to the number of intrabars that can be analyzed by a script, a tradeoff occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible. Display This script displays raw or cumulative volume​ delta values on the chart as either line or histogram oscillator zones scaled according to the price chart, allowing traders to visualize volume​ activity on each bar or cumulatively over time. The indicator's background shows where CVD​ resets occur, demarcating the beginning of new zones. The vertical axis of each oscillator zone is scaled relative to the one with the highest price range, and the oscillator values are scaled relative to the highest volume​ delta. A vertical offset is applied to each oscillator zone so that the highest oscillator value aligns with the lowest price. This method ensures an accurate, intuitive visual comparison of volume​ activity within zones, as the scale is consistent across the chart, and oscillator values sit below prices. The vertical scale of oscillator zones can be adjusted using the "Zone Height" input in the script settings. This script displays labels at the highest and lowest oscillator values in each zone, which can be enabled using the "Hi/Lo Labels" input in the "Visuals" section of the script settings. Additionally, the oscillator's value on a chart bar is displayed as a tooltip when a user hovers over the bar, which can be enabled using the "Value Tooltips" input. Divergences occur when the polarity of ​volume delta does not match that of the chart bar. The script displays divergences as bar colors and background colors that can be enabled using the "Color bars on divergences" and "Color background on divergences" inputs. An information box in the lower-left corner of the indicator displays the HTF used for resets, the ​LTF used for intrabars, the average quantity of intrabars per chart bar, and the number of chart bars for which there is LTF data. This is enabled using the "Show information box" input in the "Visuals" section of the script settings. FOR Pine Script™ CODERS  • This script utilizes `ltf()` and `ltfStats()` from the lower_tf library.   The `ltf()` function determines the appropriate lower timeframe from the selected calculation mode and chart timeframe, and returns it in a format that can be used with request.security_lower_tf() .   The `ltfStats()` function, on the other hand, is used to compute and display statistical information about the lower timeframe in an information box.  • The script utilizes display.data_window and display.status_line to restrict the display of certain plots.   These new built-ins allow coders to fine-tune where a script’s plot values are displayed.  • The newly added session.isfirstbar_regular built-in allows for resetting the ​CVD segments at the start of the regular session.  • The VisibleChart library developed by our resident PineCoders team leverages the chart.left_visible_bar_time and chart.right_visible_bar_time variables to optimize the performance of this script.   These variables identify the opening time of the leftmost and rightmost visible bars on the chart, allowing the script to recalculate and draw objects only within the range of visible bars as the user scrolls.   This functionality also enables the scaling of the oscillator zones.   These variables are just a couple of the many new built-ins available in the chart.* namespace.   For more information, check out this blog post or look them up by typing "chart." in the Pine Script™ Reference Manual .  • Our ta library has undergone significant updates recently, including the incorporation of the `aroon()` indicator used as a method for resetting ​CVD segments within this script.   Revisit the library to see more of the newly added content! Look first. Then leap.
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Pine Script™ indicator
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Harmonic Patterns Based Trend FollowerEarlier this week, published an idea on how harmonic patterns can be used for trend following. This script is an attempt to implement the same. 🎲 Process 🎯 Derive Zigzag and scan harmonic patterns for last 5 confirmed pivots 🎯 If a pattern is found, highest point of pattern will become the bullish zone and lower point of the pattern will become bearish zone. 🎯 Since it is trend following method, when price reaches bullish zone, then the trend is considered as bullish and when price reaches bearish zone, the trend is considered as bearish. 🎯 If price does not touch both regions, then trend remains unchanged. 🎯 Bullish and bearish zone will change as and when new patterns are formed. 🎲 Note Patterns are not created on latest pivot as last pivot will be unconfirmed and moving. Due to this, patterns appear after certain delay - patterns will not be real time. But, this is expected and does not impact the overall process. When new pattern formed When price breaks over the zones 🎲 Output 🎯 Patterns formed are drawn in blue coloured lines. Due to pine limitation of max 500 lines, older patterns automatically get deleted when new ones come. 🎯 Bullish Zone and Bearish Zone are plotted in green and red colours and the zone will change whenever new pattern comes along. 🎯 Bar colors are changed according to calculated trend. Trend value can be 1 or -1 based on the current trend. You can also find the value in data window. 🎯 For simplicity purpose, input option for selection of specific patterns are not provided and also pattern names are not displayed on the chart.
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Pine Script™ indicator
32
Machine Learning: Lorentzian Classification█ OVERVIEW A Lorentzian Distance Classifier (LDC) is a Machine Learning classification algorithm capable of categorizing historical data from a multi-dimensional feature space. This indicator demonstrates how Lorentzian Classification can also be used to predict the direction of future price movements when used as the distance metric for a novel implementation of an Approximate Nearest Neighbors (ANN) algorithm. █ BACKGROUND In physics, Lorentzian space is perhaps best known for its role in describing the curvature of space-time in Einstein's theory of General Relativity (2). Interestingly, however, this abstract concept from theoretical physics also has tangible real-world applications in trading. Recently, it was hypothesized that Lorentzian space was also well-suited for analyzing time-series data (4), (5). This hypothesis has been supported by several empirical studies that demonstrate that Lorentzian distance is more robust to outliers and noise than the more commonly used Euclidean distance (1), (3), (6). Furthermore, Lorentzian distance was also shown to outperform dozens of other highly regarded distance metrics, including Manhattan distance, Bhattacharyya similarity, and Cosine similarity (1), (3). Outside of Dynamic Time Warping based approaches, which are unfortunately too computationally intensive for PineScript at this time, the Lorentzian Distance metric consistently scores the highest mean accuracy over a wide variety of time series data sets (1). Euclidean distance is commonly used as the default distance metric for NN-based search algorithms, but it may not always be the best choice when dealing with financial market data. This is because financial market data can be significantly impacted by proximity to major world events such as FOMC Meetings and Black Swan events. This event-based distortion of market data can be framed as similar to the gravitational warping caused by a massive object on the space-time continuum. For financial markets, the analogous continuum that experiences warping can be referred to as "price-time". Below is a side-by-side comparison of how neighborhoods of similar historical points appear in three-dimensional Euclidean Space and Lorentzian Space: This figure demonstrates how Lorentzian space can better accommodate the warping of price-time since the Lorentzian distance function compresses the Euclidean neighborhood in such a way that the new neighborhood distribution in Lorentzian space tends to cluster around each of the major feature axes in addition to the origin itself. This means that, even though some nearest neighbors will be the same regardless of the distance metric used, Lorentzian space will also allow for the consideration of historical points that would otherwise never be considered with a Euclidean distance metric. Intuitively, the advantage inherent in the Lorentzian distance metric makes sense. For example, it is logical that the price action that occurs in the hours after Chairman Powell finishes delivering a speech would resemble at least some of the previous times when he finished delivering a speech. This may be true regardless of other factors, such as whether or not the market was overbought or oversold at the time or if the macro conditions were more bullish or bearish overall. These historical reference points are extremely valuable for predictive models, yet the Euclidean distance metric would miss these neighbors entirely, often in favor of irrelevant data points from the day before the event. By using Lorentzian distance as a metric, the ML model is instead able to consider the warping of price-time caused by the event and, ultimately, transcend the temporal bias imposed on it by the time series. For more information on the implementation details of the Approximate Nearest Neighbors (ANN) algorithm used in this indicator, please refer to the detailed comments in the source code. █ HOW TO USE Below is an explanatory breakdown of the different parts of this indicator as it appears in the interface: Below is an explanation of the different settings for this indicator: General Settings: Source - This has a default value of "hlc3" and is used to control the input data source. Neighbors Count - This has a default value of 8, a minimum value of 1, a maximum value of 100, and a step of 1. It is used to control the number of neighbors to consider. Max Bars Back - This has a default value of 2000. Feature Count - This has a default value of 5, a minimum value of 2, and a maximum value of 5. It controls the number of features to use for ML predictions. Color Compression - This has a default value of 1, a minimum value of 1, and a maximum value of 10. It is used to control the compression factor for adjusting the intensity of the color scale. Show Exits - This has a default value of false. It controls whether to show the exit threshold on the chart. Use Dynamic Exits - This has a default value of false. It is used to control whether to attempt to let profits ride by dynamically adjusting the exit threshold based on kernel regression. Feature Engineering Settings: Note: The Feature Engineering section is for fine-tuning the features used for ML predictions. The default values are optimized for the 4H to 12H timeframes for most charts, but they should also work reasonably well for other timeframes. By default, the model can support features that accept two parameters (Parameter A and Parameter B, respectively). Even though there are only 4 features provided by default, the same feature with different settings counts as two separate features. If the feature only accepts one parameter, then the second parameter will default to EMA-based smoothing with a default value of 1. These features represent the most effective combination I have encountered in my testing, but additional features may be added as additional options in the future. Feature 1 - This has a default value of "RSI" and options are: "RSI", "WT", "CCI", "ADX". Feature 2 - This has a default value of "WT" and options are: "RSI", "WT", "CCI", "ADX". Feature 3 - This has a default value of "CCI" and options are: "RSI", "WT", "CCI", "ADX". Feature 4 - This has a default value of "ADX" and options are: "RSI", "WT", "CCI", "ADX". Feature 5 - This has a default value of "RSI" and options are: "RSI", "WT", "CCI", "ADX". Filters Settings: Use Volatility Filter - This has a default value of true. It is used to control whether to use the volatility filter. Use Regime Filter - This has a default value of true. It is used to control whether to use the trend detection filter. Use ADX Filter - This has a default value of false. It is used to control whether to use the ADX filter. Regime Threshold - This has a default value of -0.1, a minimum value of -10, a maximum value of 10, and a step of 0.1. It is used to control the Regime Detection filter for detecting Trending/Ranging markets. ADX Threshold - This has a default value of 20, a minimum value of 0, a maximum value of 100, and a step of 1. It is used to control the threshold for detecting Trending/Ranging markets. Kernel Regression Settings: Trade with Kernel - This has a default value of true. It is used to control whether to trade with the kernel. Show Kernel Estimate - This has a default value of true. It is used to control whether to show the kernel estimate. Lookback Window - This has a default value of 8 and a minimum value of 3. It is used to control the number of bars used for the estimation. Recommended range: 3-50 Relative Weighting - This has a default value of 8 and a step size of 0.25. It is used to control the relative weighting of time frames. Recommended range: 0.25-25 Start Regression at Bar - This has a default value of 25. It is used to control the bar index on which to start regression. Recommended range: 0-25 Display Settings: Show Bar Colors - This has a default value of true. It is used to control whether to show the bar colors. Show Bar Prediction Values - This has a default value of true. It controls whether to show the ML model's evaluation of each bar as an integer. Use ATR Offset - This has a default value of false. It controls whether to use the ATR offset instead of the bar prediction offset. Bar Prediction Offset - This has a default value of 0 and a minimum value of 0. It is used to control the offset of the bar predictions as a percentage from the bar high or close. Backtesting Settings: Show Backtest Results - This has a default value of true. It is used to control whether to display the win rate of the given configuration. █ WORKS CITED (1) R. Giusti and G. E. A. P. A. Batista, "An Empirical Comparison of Dissimilarity Measures for Time Series Classification," 2013 Brazilian Conference on Intelligent Systems, Oct. 2013, DOI: 10.1109/bracis.2013.22. (2) Y. Kerimbekov, H. Ş. Bilge, and H. H. Uğurlu, "The use of Lorentzian distance metric in classification problems," Pattern Recognition Letters, vol. 84, 170–176, Dec. 2016, DOI: 10.1016/j.patrec.2016.09.006. (3) A. Bagnall, A. Bostrom, J. Large, and J. Lines, "The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms." ResearchGate, Feb. 04, 2016. (4) H. Ş. Bilge, Yerzhan Kerimbekov, and Hasan Hüseyin Uğurlu, "A new classification method by using Lorentzian distance metric," ResearchGate, Sep. 02, 2015. (5) Y. Kerimbekov and H. Şakir Bilge, "Lorentzian Distance Classifier for Multiple Features," Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017, DOI: 10.5220/0006197004930501. (6) V. Surya Prasath et al., "Effects of Distance Measure Choice on KNN Classifier Performance - A Review." . █ ACKNOWLEDGEMENTS @veryfid - For many invaluable insights, discussions, and advice that helped to shape this project. @capissimo - For open sourcing his interesting ideas regarding various KNN implementations in PineScript, several of which helped inspire my original undertaking of this project. @RikkiTavi - For many invaluable physics-related conversations and for his helping me develop a mechanism for visualizing various distance algorithms in 3D using JavaScript @jlaurel - For invaluable literature recommendations that helped me to understand the underlying subject matter of this project. @annutara - For help in beta-testing this indicator and for sharing many helpful ideas and insights early on in its development. @jasontaylor7 - For helping to beta-test this indicator and for many helpful conversations that helped to shape my backtesting workflow @meddymarkusvanhala - For helping to beta-test this indicator @dlbnext - For incredibly detailed backtesting testing of this indicator and for sharing numerous ideas on how the user experience could be improved.
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Pine Script™ indicator
71
Hurst Diamond Notation PivotsThis is a fairly simple indicator for diamond notation of past hi/lo pivot points, a common method in Hurst analysis. The diamonds mark the troughs/peaks of each cycle. They are offset by their lookback and thus will not 'paint' until after they happen so anticipate accordingly. Practically, traders can use the average length of past pivot periods to forecast future pivot periods in time🔮. For example, if the average/dominant number of bars in an 80-bar pivot point period/cycle is 76, then a trader might forecast that the next pivot could occur 76-ish bars after the last confirmed pivot. The numbers/labels on the y-axis display the cycle length used for pivot detection. This indicator doesn't repaint, but it has a lot of lag; Please use it for forecasting instead of entry signals. This indicator scans for new pivots in the form of a rainbow line and circle; once the hi/lo has happened and the lookback has passed then the pivot will be plotted. The rainbow color per wavelength theme seems to be authentic to Hurst (or modern Hurst software) and has been included as a default.
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Pine Script™ indicator
29
Fair value bands (Dynamic risk levels, fair value metrics)— Overview Fair value bands, like other band tools, depict dynamic points in price where price behaviour is normal or abnormal, i.e. trading at/around mean (price at fair value) or deviating from mean (price outside fair value). Unlike constantly readjusting standard deviation based bands, fair value bands are designed to be smooth and constant, based on typical historical deviations. The script calculates pivots that take place above/below fair value basis and forms median deviation bands based on this information. These points are then multiplied up to 3, representing more extreme deviations. By default, the script uses OHLC4 and SMA 20 as basis for the bands. Users can form their preferred fair value basis using following options: Price source - Standard OHLC values - HL2 (High + low / 2) - OHLC4 (Open + high + low + close / 4) - HLC3 (High + low + close / 3) - HLCC4 (High + low + close + close / 4) Smoothing - SMA - EMA - HMA - RMA - WMA - VWMA - Median Once fair value basis is established, some additional customization options can be employed: Trend mode Direction based Cross based Trend modes affect fair value basis color that indicates trend direction. Direction based trend considers only the direction of the defined fair value basis, i.e. pointing up is considered an uptrend, vice versa for downtrend. Cross based trends activate when selected source (same options as price source) crosses fair value basis. These sources can be set individually for uptrend/downtrend cross conditions. By default, the script uses cross based trend mode with low and high as sources. Cross based (downtrend not triggered) vs. direction based (downtrend triggered): Threshold band Threshold band is calculated using typical deviations when price is trading at fair value basis. In other words, a little bit of "wiggle room" is added around the mean based on expected deviation. This feature is useful for cross based trends, as it allows filtering insignificant crosses that are more likely just noise. By default, threshold band is calculated based on 1x median deviation from mean. Users can increase/decrease threshold band width via input menu for more/less noise filtering, e.g. 2x threshold band width would require price to cross wiggle room that is 2x wider than typical, 0x erases threshold band altogether. Deviation bands Width of deviation bands by default is based on 1x median deviations and can be increased/decreased in a similar manner to threshold bands. Each combination of customization options produces varying behaviour in the bands. To measure the behaviour and finding fairest representation of fair and unfair value, some data is gathered. — Fair value metrics Space between each band is considered a lot, named +3, +2, +1, -1, -2, -3. For each lot, time spent and volume relative to volume moving average (SMA 20) is recorded each time price is trading in a given lot: Depending on the asset, timeframe and chosen fair value basis, shape of the distributions vary. However, practically always time is distributed in a normal bell curve shape, being highest at lots +1 to -1, gradually decreasing the further price is from the mean. This is hardly surprising, but it allows accurately determining dynamic areas of normal and abnormal price behaviour (i.e. low risk area between +1 and -1, high risk area between +-2 to +-3). Volume on the other hand is typically distributed the other way around, being lowest at lots +1 to -1 and highest at +-2 to +-3. When time and volume are distributed like so, we can conclude that 1) price being outside fair value is a rare event and 2) the more price is outside fair value, the more anomaly behaviour in volume we tend to find. Viewing metric calculations Metric calculation highlights can be enabled from the input menu, resulting in a lot based coloring and visibility of each lot counter (time, cumulative relative volume and average relative volume) in data window: — Alerts Available alerts are the following: Individual - High crossing deviation band (bands +1 to +3 ) - Low crossing deviation band (bands -1 to -3 ) - Low at threshold band in an uptrend - High at threshold band in a downtrend - New uptrend - New downtrend Grouped - New uptrend or downtrend - Deviation band cross (+1 or -1) - Deviation band cross (+2 or -2) - Deviation band cross (+3 or -3) — Practical guide Example #1 : Risk on/risk off trend following Ideal trend stays inside fair value and provides sufficient cool offs between the moves. When this is the case, fair value bands can be used for sensible entry/exit levels within the trend. Example #2 : Mean reversions When price shows exuberance into an extreme deviation, followed by a stall and signs of exhaustion (wicks), an opportunity for mean reversion emerges. The higher the deviation, the more volatility in the move, the more signalling of exhaustion, the better. Example #3 : Tweaking bands for desired behaviour The faster the length of fair value basis, the more momentum price needs to hit extreme deviation levels, as bands too are moving faster alongside price. Decreasing fair value basis length typically leads to more quick and aggressive deviations and less steady trends outside fair value.
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Pine Script™ indicator
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RedK K-MACD : a MACD with some more musclesMoving Averages are probably the most commonly used analysis tools, and MACD is possibly the first charting indicator a trader gets to learn about. MACD Basic concept ---------------------------- Without repeating all the tons of documentation about what MACD does, let's quickly re-visit the MACD concept from a 10-mile altitude (note we're keen on simplifying here rather than being technically accurate - so please forgive the use of any "common lingos") - MACD goal is to represent the distance between 2 Moving Averages (MAs) - one fast and one slow, relatively - as an unrestricted zero-based oscillator. - The value of the main MACD line is the distance, or the displacement between the 2 MA's - usually a signal line is used (which is another MA of that distance value) to enable better visualization of the change (and rate of change, since this is all depicted on a time axis) of that displacement - this represents price momentum (price movement in the recent period versus movements for a relatively longer period). - the difference between the main MACD line and its signal is then represented as a histogram above and below the zero line. in this case, that histogram is really redundant, since it shows a value that is already represented visually by the main line and its signal line. How K-MACD is different --------------------------------- K-MACD takes that simple concept of the classic MACD and expands around it - the idea is to use the same simple approach to representing price momentum while bringing in more insight to price moves in the short, medium and long terms, ability to represent more than 2 MA's and to enable better identification of tradeable patterns (like Volatility Contraction and others) - while still keeping things simple and visually clean. K-MACD is an indicator that allows us to view how price moves against 3 moving averages: a fast / slow pair, and a "market" Filter or Baseline (very long) that will be used as a flag for Bear/Bull market mode. Many traders and trading literature use the 200 day (40 week) SMA as that key filter so in total, there are 4 MA lines in K-MACD (excluding the "orange" signal line): * Price Proxy: Which is a very fast moving average that will represent the price itself - let's use a WMA(3) or something close to that here - there will be a signal line to enable better visualization of this similar to a classic MACD - that's the orange line * Fast & Slow MA's : Use whatever represents the "medium term" momentum for your trading - Some traders use 20 and 50, others use 10 and 20 .. if on your price chart, you keep using a pair of MA's for this, use the same settings in K-MACD - these will be represented by the 3-color Momentum Bars that fluctuate above and below the baseline * Filter/Baseline MA: Should be your long (Bullish/Bearish Mode) MA. so 100 or 200 or any other value you consider your market to be bearish below and bullish above. on K-MACD this is actually the blue zero line - everything else is "relative" to it Review the sample chart which explains various elements and the "price chart" setup that K-MACD represents. With K-MACD you can clean up your chart from those various Moving Averages - or use a different set than the ones you already have K-MACD represent - or other indicators (like ATR channels..etc) Other "muscles" in the K-MACD --------------------------------------------- - Relative vs Classic Calculation Mode A key issue with the classic MACD is that the displacement between the 2 moving averages is represented as "absolute or direct" values - as the price of the underlying increases with time, you can't really use these values to make useful comparison between the past and now (see below example) - also you can't use them to compare 2 different instruments. - The "Relative" calculation option in K-MACD addresses that issue by relating all "distances" to the Baseline MA as percentage (above or below) - you can see this clear when you look at the above chart the far left versus the far right and compare K-MACD with the classic MACD - the Classic option is still available - More MA "type" options for all MA lines: choose between SMA, EMA, WMA, and RSS_WMA (which i use a lot in my trading and is my default for the Price Proxy) - More Alerts: a total or 9 alerts (in 3 groups) are available with K-MACD (Momentum above or below baseline, Price Proxy crossing signal line, and Price Proxy crossing baseline) - New 52 week High / Low markers: These will show as Green/red circles on the zero line in K-MACD. this will only work for 1D timeframe and above, i'm just using a simple approach and would like to keep it that way. - i know i added some more features not covered above :) -- if you have questions about any of the settings, feel free to ask below Closing thoughts ------------------------- K-MACD is a combination of couple of indicators i published in the past (xMACD and Mo_Bars) - so you can go back and read about them if needed - I then added improvements to accommodate ideas from swing trading literature and common practices that i plan to focus on in future. So K-MACD is really part of my own trading setup. I assume here that most traders are familiar with what a MACD is - so kept this post short - if you thing we should expand more about the concepts covered here let me know in the comments - i can make some separate posts with examples and more details. I hope many fellow traders find this work useful - and feel free let me know in comments below if you do.
Pine Script™ indicator
12
[@btc_charlie] Trader XO Macro Trend ScannerWhat is this script? This script has two main functions focusing on EMAs (Exponential Moving Average) and Stochastic RSI. EMAs EMAs are typically used to give a view of bullish / bearish momentum. When the shorter EMA (calculated off more recent price action) crosses, or is above, the slower moving EMA (calculated off a longer period of price action), it suggests that the market is in an uptrend. This can be an indication to either go long on said asset, or that it is more preferable to take long setups over short setups. Invalidation on long setups is usually found via price action (e.g. previous lows) or simply waiting for an EMA cross in the opposite direction (i.e. shorter EMA crosses under longer term EMA). This is not a perfect system for trade entry or exit, but it does give a good indication of market trends. The settings for the EMAs can be changed based on user inputs, and by default the candles are coloured based on the crosses to make it more visual. The default settings are based on “Trader XO’s” settings who is an exceptional swing trader. RSI Stochastic RSI is a separate indicator that has been added to this script. RSI measures Relative Strength (RSI = Relative Strength Index). When RSI is <20 it is considered oversold, and when >80 it is overbought. These conditions suggests that momentum is very strong in the direction of the trend. If there is a divergence between the price (e.g. price is creating higher highs, and stoch RSI is creating lower highs) it suggests the strength of the trend is weakening. Whilst this script does not highlight divergences, what it does highlight is when the shorter term RSI (K) crosses over D (the average of last 3 periods). This can give an indication that the trend is losing strength. Combination The EMAs indicate when trend shifts (bullish or bearish). The RSI indicates when the trend is losing momentum. The combination of the two can be used to suggest when to prefer a directional bias, and subsequently shift in anticipation of a trend reversal. Note that no signal is 100% accurate and an interpretation of market conditions and price action will need to be overlayed to Why is it different to others? I have not found other scripts that are available in this way visually including alerts when Stoch RSI crosses over/under the extremes; or the mid points. Whilst these indicators are default, the combination of them and how they are presented is not and makes use of the TradingView colouring functionalities. What are the features? Customise the variables (averages) used in the script. Display as one EMA or two EMAs (the crossing ones). Alerts on EMA crosses. Alerts on Stoch RSI crosses - slow/fast, upper, lower areas. - Currently set on the chart to show alerts when Stoch RSI is above 80, then falls below 80 (and colours it red). Customisable colours. What are the best conditions for this? It is designed for high timeframe charts and analysis in crypto, since crypto tends to trend. It can however be used for lower timeframes. Disclaimer/Notes: I have noticed several videos appearing suggesting that this is a "100% win rate indicator" . NO indicator has 100% win rate. An indicator is an *indicator* that is all. Please use responsibly and let me know if there are any mods or updates you would like to see.
Pine Script™ indicator
6
True Trend Average BandsThis is the indicator I am most proud of. After reading Glenn Neely's book "Mastering Eliott Waves" / "Neowave" and chatting with @timwest who got acknowledged by Neely, we came up with the idea of an moving average which does calculate the real average price since a trend started. Addionally I adapted a method from Neely Neowave and Tim Wests TimeAtMode to not force a timeframe on a chart but instead let the charts data decide which timeframe to use, to then calculate the real average price since the trend started. It took me a while to get this right and coded, so take a moment and dive deeper and you might learn something new. We assume that the price is in multiple trends on multiple timeframes, this is caused by short term traders, long term traders and investors who trade on different timeframes. To find out in which timeframe the important trends are, we have to look out for significant lows and highs. Then we change the timeframe in the chart to a value so that we have 10 to 20 bars since the significant low/high. While new bars are printed, and we reach more than 20 bars, we have to switch to a higher timeframe so we have 10 to 20 bars again. In the chart you see two significant trends: a downtrend on the 3 week timeframe and an uptrend from the 2 month timeframe. Based on the logic I have described, these are the two important timeframes to watch right now for the spx (there is another uptrend in the yearly chart, which is not shown here). Now that we understand how to find the important timeframes, let's look what the magic in this script is that tells us the real average price since a trend started. I developed a new type of moving average, which includes only the prices since a trend started. The difference to the regular sma is that it will not include prices which happened before the significant low or high happened. For example, if a top happened in a market 10 days ago, the regular sma20 would be calculated by 10 bars which happened before the top and 10 bars which happened after the top. If we want to know the average price of the last 10 bars we manually have to change the ma20 to the ma10 which is annoying manual work, additionally even if we use the ma10 in this case, and we look at yesterday's bar the ma10 will include 9 bars from after the top and one bar before the top, so the ma10 would only show the real average price for the current bar which is not what we want. To come up with a solution to this problem, the True Trend Average searches for the lowest/highest bar in a given period (20 bars). Then starts to calculate the average value since the low/high. For example: if the price reaches a new 20 day high and then trades below it, the day of the high will be the sma1, the day after it's the sma2, ... up to the maximum look back length. This way, we always know what the average price would have been if someone sold/bought a little bit every bar of his investment since the high/low. Why is this even important? Let's assume we missed selling the top or buying the low, and think it would have been at least better to buy/sell a little bit since the new trend started. Once the price reaches the true trend average again, we can buy/sell, and it would be as good as selling/buying a little bit every day. We find prices to buy the dip and sell the bounce, which are as good as scaling in/out. There is a lot more we can learn from these price levels but I think it is better to let you figure out yourself what you can learn from the information given by this indicator. Think about how market participants who accumulate or distribute feel when prices are above or below certain levels. Now that we understand this new type of moving average, let's look into the lines we see in the chart: The upper red band line shows the true trend average high price since the last significant top within 20 bars. The lower red band line shows the true trend average hl2 price since the last significant top within 20 bars. The lower green band line shows the true trend average low price since the last significant low within 20 bars. The upper green band line shows the true trend average hl2 price since the last significant low within 20 bars. The centerline is the average between the upper red band and the lower green band. The teal lines show 1 standard deviation from the outer bands. Before today only a few people had access to this indicator, now that it is public and open source, I am curious if you will find it useful and what you will do with it. Please share your findings. /edit: The chart only shows the 3week timeframe so here are the other two trends from the 2month and 1year timeframe
Pine Script™ indicator
12
Multiple Divergences (UDTs - objects) - Educational█   OVERVIEW This script highlights the usage of User-defined Types (UDTs) and objects , and bullish /bearish  divergences. Pivotpoints are used to find divergences, the result of this script will be different against other public multiple divergences scripts. FOR Pine Script™ CODERS Besides the information found in CONCEPTS , the comments in the script will, hopefully ), guide you through my thought process. █   CONCEPTS The main principle of this script are bullish /bearish  divergences, this with 3 different oscillators ( RSI , CCI , MFI ) If you want to know more about divergences, have a look at some Education and Research idea's . On every bar, an object HLs is made, containing bar_index , high , low , and 2 bool variables ( isPh , isPl ). On every bar, an object Osc is made, containing bar_index , o (oscillator value), and 2 bool variables ( isPh , isPl ). If a pivothigh (ph ) is found, isPh will be true on that bar, false otherwise. If a pivotlow (pl) is found, isPl will be true on that bar, false otherwise. These objects are added to an array, with limited size. If a ph is found, the script draws a testline from that ph to every previous ph , found in the array. Then every high in between these 2 points are checked if they don't pierce the testline . If the testline isn't broken, the Reg_Div_Piv() function will give 4 values, 1 check (not pierced) variable and the 4 points of the line. The testline is deleted. Once a positive check is found, the script will perform the same, but now with the Osc objects. The script will ONLY compare Osc pivots which are maximum 1 bar away from the high/low pivot . If everything is confirmed, a line is drawn, visible on the chart. █   REMARKS A label will be visible with a number, this is the amount of divergences found with the according oscillator . EXAMPLE Div with RSI and CCI -> 2 Div with MFI alone -> 1 Div with RSI and CCI and MFI -> 3 ... Divergences should only be used when confirmed, this is after bar close . As an aid, lines that are not confirmed will be dotted , if confirmed, they will be solid . The divergence check start when a ph/pl is found, after which oscillator pivot are checked. Optionally the same can be done, when a oscillator pivot is found and then check the ph/pl , this should give more results, although it can make the script slower. █   SETTINGS Left - amount of bars at the left which needs to be lower/higher Right - amount of bars at the right which needs to be lower/higher Max values - maximum values in array of objects 3 oscillator settings with      • ON/OFF      • Length      • color bullish  divergence      • color bearish  divergence Have FUN !
Pine Script™ indicator
15

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Educational ideas

The 4 fears of every traderTrading in the financial markets, whether it be forex or cryptocurrency, can be a thrilling yet challenging experience. It requires a level of strategy, discipline, and risk tolerance to make informed decisions and reap profits. But, as traders, we are often faced with fears that can cloud our judgment and hinder our success in the market. To help you overcome these fears, we will delve into the four main categories that traders face: fear of being wrong, fear of losing money, fear of leaving money on the table, and fear of missing out. These fears can be crippling, but with the right understanding and approach, they can be conquered. Join us on a journey to understand these fears and how to overcome them, so you can become a confident, successful trader in the forex and cryptocurrency markets. Fear of being wrong The fear of being wrong is the most common obstacle for traders. It's only natural to want to be right all the time, but in the fast-paced and ever-changing world of trading, being wrong is an inevitable part of the process. But this fear can hold us back from making the bold and calculated decisions necessary for success. When we're too afraid of being wrong, we may avoid taking calculated risks, miss out on potential profits, or even make impulsive decisions based on emotions instead of data. But here's the thing: being wrong is a valuable opportunity to learn and grow as a trader. Every misstep is a chance to analyze what went wrong and improve our strategy for the next trade. So instead of letting the fear of being wrong hold you back, embrace it. Embrace the possibility of being wrong and use it as fuel to become a better trader. Remember, even the most successful traders make mistakes and face losses all the time. The key is to learn from those mistakes and come back stronger. Fear of losing money No one wants to watch their hard-earned capital disappear, but in the world of trading, losses are a fact of life. However, letting this fear control our decisions can be just as detrimental to our success as the fear of being wrong. If we're too afraid to lose money, we may be hesitant to take calculated risks, miss out on potential profits, or even exit positions prematurely. But here's the truth: losses are an integral part of the trading process and can be managed with a solid trading plan in place. By implementing risk management techniques, such as stop-loss orders, traders can minimize their losses and protect their capital. So instead of letting the fear of losing money paralyze you, turn it into a strength. Use it as motivation to develop a comprehensive trading plan that incorporates effective risk management strategies. Accept that losses are a natural part of trading, and use them as an opportunity to improve your strategies and refine your approach. Don't be afraid to lose money, be afraid of not taking advantage of opportunities to grow your wealth. Fear of leaving money on the table The fear of leaving money on the table is a tricky one, as it often arises when we're in a winning trade. It's tempting to hold on, hoping to squeeze out even more profits. But this can be a dangerous mindset that can lead to ignoring stop-losses and exposing ourselves to unnecessary risk. After all, you don't have a crystal ball ( and aren't an FOMC member ), so you should expect to buy the exact bottom and sell the exact top. Instead, you need to have a clear exit strategy in place and stick to it, no matter how much you feel like the trade can continue to go in your favor. By having a predetermined exit plan, we can lock in profits, manage risk, and avoid emotional decision-making. So, instead of succumbing to the fear of leaving money on the table, embrace discipline. Develop a solid exit strategy that balances the desire for profits with the need for risk management. Don't be afraid to lock in your profits, even if it feels like there's still money to be made. Trust in your strategy and stick to your plan, and you'll be in a better position to capitalize on future opportunities. Fear of missing out The fear of missing out (FOMO) is a feeling that all traders have faced at some point. It's especially prevalent in a volatile market, where prices are moving quickly, and it can be tempting to jump in without fully analyzing the situation. But succumbing to FOMO can lead to hasty decisions based on emotions, rather than logic, which can result in costly mistakes ( emotions causing mistakes...do you see a pattern? ). It's important to resist the temptation of FOMO and stick to your trading plan, even when the market is moving rapidly. By having a clear strategy in place and following it, we can avoid impulsive trades and make informed decisions that are grounded in logic and analysis. Take the time to thoroughly analyze each opportunity before making a decision. Trust in your strategy and stick to your plan, even when it feels like the market is passing you by. How to overcome our fears? For a brighter reader, it is easy to notice that these fears are omnipresent. No matter what you do or don't do during your trading day, you can't avoid these fears. Overcoming them is not easy, but it is essential for achieving success in the market. Here are a few pointers that can help you overcome these four fears and become more disciplined and consistent traders: Develop a reliable trading plan Having a well-defined trading plan can help us to manage our risks and make informed, rational decisions. A good trading plan should include our goals, risk management rules, and entry and exit strategies. By following our plan, we can stay disciplined and avoid making emotional decisions based on fear. Practice proper risk management Risk management is an essential part of trading, and it can help us to overcome our fear of losing money. By setting clear stop-loss levels and position sizes, we can minimize our losses and protect our capital. This can give us the confidence to take on appropriate levels of risk and pursue potential trading opportunities. Realize that your ego is the enemy How many times have you held a losing position past your stop loss and literally prayed for the break-even? Did anything fundamentally change about your position? No, you just didn't want to take the loss, am I right? See, even though we know that losses are part of the process it is still very hard for us to accept that any trade can go against us. And sometimes you do everything right, and still lose. Every trading system works with probabilities. Losses are normal. Let your ego go and stop trying to force a win out of every single position you take. ( Add this to your daily affirmation ritual if you must ) Stay focused on the long term It's easy to get caught up in the short-term movements of the market, but it's important to remember that trading is a long-term game. By focusing on our long-term goals it becomes easier to stay disciplined. Every losing day can get you closer to your long-term goal, as long as you sit down, analyze what happened, and learn from it. Take regular breaks Trading can be mentally and emotionally exhausting, and it's important to take regular breaks to recharge and refocus. By stepping away from the markets for a while, you can clear your mind and come back to our trading with a fresh perspective. This can help you avoid making rash decisions. Learn from your mistakes This is the big one. Realize that nobody is perfect, and everyone makes mistakes in their trading careers. It's important to learn from these mistakes and use them as opportunities for growth and improvement. By analyzing your past mistakes and adjusting your strategies accordingly, you can become better trader and overcome your fears. Consider automating your trading process Our trading platform does a fantastic job of keeping your emotions out of trading. You can set multiple take profits and stop losses, understand your risk-to-reward ratio, the trade's impact on your portfolio and much more before you even place the trade. You can backtest your strategies, trade them live automatically, and much much more. Leveraging technology in your favor can yield a tremendous difference in your trading results, as it did for our 15 thousand users. Conclusion The four main fears that traders face - fear of being wrong, fear of losing money, fear of leaving money on the table, and fear of missing out - can have a significant impact on our success in the markets. However, with the right approach and mindset, these fears can be overcome and transformed into positive drivers for our trading. By accepting that being wrong is a natural part of the trading process, managing our risks, having a clear exit strategy, and resisting the temptation of FOMO, we can overcome these fears and become more confident and successful traders. By doing so, we can capitalize on opportunities, make informed decisions, and achieve our trading goals. So embrace these fears, overcome them, and take control of your trading journey.
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Education
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TOP 5 Price Action Secrets You Must Know 🔴Multi-candle patterns are more reliable The more candles a specific pattern contains, the more reliable it usually is. 3 candle patterns are better than single candle patterns. 30 candle patterns are usually better than 3 candle patterns. Patterns like head and shoulders, double and triple tops are among my favorites, exactly because of this reason. They consistently result in higher probability trades, which is what we’re all after. It doesn’t mean that a good pin bar setup won’t work, it just means there’s a higher probability of having these multi-candle setups resulting in a winning trade. 🟠Know where to place your stop loss Knowing where to place an order is just the beginning. Where do you place your stop loss? Fixed pips stop loss levels are hardly a good approach since the market volatility can change and every trade should be looked at within the context of the recent market history. 🟢Always look for confluence This is absolutely one of the most important secrets you have to know about. Confluence is everything. So you’ve found a sweet price action setup. Great! Now make sure it has confluence, meaning that it coincides with other valid signals that support your trading idea. 🔵Tell a story of what happened Every chart tells a story. It might be a story of clear direction or a story of messy back-and-forth battling between buyers and sellers. In a similar way, we can talk about clean price action vs messy price action. It is up to the trader to find the story and better understand what the market might do. 🟣Context is everything Depending on where a price action setup occurs, you should interpret it differently. The same pin bar could be bullish or bearish, depending on if they show up at the bottom of a downtrend or top of an uptrend, respectively. Not all patterns are also worth taking if they are not preceded by the right price action and happen at the levels that are in one way or the other of significance. 🟤Identify key support & resistance zones Support and resistance (or S&R for short) are terms used to denote areas where price reverses at its lowest point (support) and the highest point (resistance) on a chart. Often, these zones are “tested” multiple times as traders look for an increased buyer and seller activity around these levels. It’s important to note that support and resistance are usually not thin lines, but rather zones. 🔴The Bottom Line The price action strategy is one of the most powerful tools for extracting money from the markets with predictability and manageable risks, but only if used correctly. Like, comment and subscribe to boost your trading! Hey traders, let me know what subject do you want to dive in in the next post?
Education
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Tradingview Telegram Webhook Bot with Chart Snapshot (Revised)Hello Everyone, In this video, we will try to go through revised implementation of Tradingview-Telegram-Bot which can be used to send alert messages from tradingview to telegram along with current chart snapshot. 🎲 Base Initial version of the same idea are as below: How-to-create-simple-web-hook-to-send-alerts-to-Telegram How-to-capture-chart-snapshot-in-tradingview-telegram-alert-bot 🎲 Prerequisite Before proceeding with the current video, please watch the first video - How-to-create-simple-web-hook-to-send-alerts-to-Telegram which covers lots of basic things such as Creating Telegram Bot using botfather and capturing required information such as TOKEN and CHANNEL Basic usage of replit - a cloud based hosting service which lets us define our webhooks with little to no cost. Postman - tool which is required to test the webhooks created Other information such as keeping the bot alive via cronjob, using the webhooks in tradingview alert widget etc. 🎲 Setup Clone/fork replit repo Set mandatory environment variables CHANNEL and TOKEN Set optional environment variables username/password or sessionid Run the bot and start using webhooks 🎲 Usage Webhook URL will be of the format. https://Tradingview-Telegram-Bot. .repl.co/webhook? 🎲 Important Query parameters jsonRequest - can be set as true/false. Default is false. If set to true, the payload should be a standard json. Output to telegram will be sent in tabular format. If not set or if set to false, output to telegram will be clear text. tblfmt - table format to be used when jsonRequest is set to true. Default is plain. The values are exactly same as the ones required for tabulate package. chart - Send the chart id if required to send chart snapshot along with alert message. For this to work - chart needs to be either a shared chart or environment variables for tvusername and tvpassword should be set to the user who has access to given chart. ticker - Chart ticker. You no longer need to use different chart for different tickers. You can have a common chart and pass ticker to it so that chart will automatically switch to given ticker before taking screenshot delivery - Taking chart snapshot takes time. This also delays the delivery of alert message. To avoid this, we can use this option - delivery=asap so that alert message will be sent as soon as possible and chart is sent later. If this parameter is not set, then both the messages will be delivered together. 🎲 Repository URLs Tradingview-Telegram-Bot-Github Tradingview-Telegram-Bot-Replit
Education
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🛠️ Trading Tools Cheat SheetFibonacci Levels, Pitchfork, Fibonacci Arcs, Gann Square, Gann Fan, and Elliot Wave are technical analysis tools used in trading to identify potential levels of support and resistance, anticipate future price movements, and make informed investment decisions. These tools are based on mathematical calculations and relationships between price, volume, and time. They are widely used by traders to gain insights into market trends and make investment decisions based on past market data. However, it's important to note that these tools are not a guarantee of future performance and can produce false signals, so they should be used in conjunction with other forms of analysis and with a solid understanding of market dynamics. 🔹 Fibonacci Levels A technical analysis tool that uses horizontal lines to indicate areas of potential support or resistance based on the Fibonacci sequence. 🔹 Pitchfork A technical analysis tool that uses three parallel lines to identify potential levels of support and resistance and to anticipate future price movements. 🔹 Fibonacci Arcs A technical analysis tool that consists of several curved lines that originate from two extreme points (high and low) and converge at the fibonacci levels. 🔹 Gann Square A technical analysis tool that uses a grid to identify potential support and resistance levels and to predict future price movements based on the relationship between time and price. 🔹 Gann Fan A technical analysis tool that uses diagonal lines to identify potential levels of support and resistance and to anticipate future price movements. 🔹 Elliot Wave A technical analysis tool that tries to identify patterns in financial market data, particularly in stock market prices, which in turn can be used to make investment decisions. It's based on the idea that market prices move in predictable waves. 👤 @AlgoBuddy 📅 Daily Ideas about market update, psychology & indicators ❤️ If you appreciate our work, please like, comment and follow ❤️
Education
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Fibonacci Retracement Levels In Forex TradingBoth novice and seasoned traders use Fibonacci levels as one of the most common and universal strategies when trading forex and other markets. It is a well-known fact that market prices incline toward levels where the bulk of market orders are gathered. Such levels can be found and predicted using a variety of ways. Systems for trading are built on a variety of levels. Since traders first realized that the price fluctuations of some assets frequently followed the Fibonacci number sequence, the Fibonacci levels have been employed in trading. The standard Tradingview trading platform, which is currently the most well-known and in demand, includes the tool because of how useful it is. Leonardo Fibonacci, who was born in ancient Italy, discovered a straightforward numerical sequence that is utilized globally and is consistent with a wide range of natural occurrences. The order is as follows: 0 followed by 1, then 1 (0+1), then 2 (1+1), then 3 (1+2), followed by 5, then 8 (3+5), etc. It appears that the Fibonacci sequence is the sum of the two numbers before it. An intriguing ratio may be calculated using these numbers: 0.618 is the result of dividing the first by the second (regardless of which of the numbers in the sequence are taken). And you get 0.382 when you split the numbers by one. The "golden ratio" is this set of fractions, and it appears frequently in nature, a striking example is a spiral like the seeds in a sunflower. The following are the trading-related Fibonacci correction levels: 0.236, 0.382, 0.500, 0.618, and 0.764. Levels of expansion are 0; 0.382; 0.618; 1.000; 1.382; and 1.618. It makes no sense for traders to manually calculate any of these figures, which are all calculated from the sequence. The key is to comprehend how they operate, what they are used for, what data they offer, and how to make effective use of them when trading. Special indicators that automatically draw lines on the chart or symbols in the trading platform are used while trading with Fibonacci levels. Retracement levels can be utilized for a number of purposes, such as support and resistance, to start trades, and to set stop orders. The usage of extension levels by traders for take-profit placement. Based on swings, or candles with at least two upper highs or upper lows on the left and right, Fibonacci levels can be applied to a chart. Additionally, bear in mind that Fibonacci levels for forex are a trending technique and are not applied during periods of consolidation. When the trend is upward, the price tends to retreat from Fibonacci-based resistance levels; the opposite is true for downtrends and support. Fibonacci Levels in Forex: How to Use Them Almost all charting applications contain Fibonacci retracement levels. Fibonacci lines are regarded as the most flexible and understandable option, however others also use fan lines, arcs, and time periods as typical tools. What do you need to know about Fibonacci numbers in order to trade? Values are calculated as 23.6, 38.2, 50.0, 61.8, and 76.4% on a scale of 0 to 100. The primary signal for foreseeing likely future price fluctuations is these ratios (prices often bounce back from levels). The indicator shows levels on the price chart and allows forecasting of future price changes.If you want to manually trade using the price chart or the software, you can select to display correction levels. To do this, drag the cursor from the bottom point of the trend to the top point. There will be five horizontal lines that display 0, 38.2, 50, 61.8, and 100% (an additional line showing 23.6% can be added). Depending on whether Fibonacci is trading above or below the lines, the lines can be utilized as support or resistance levels. The levels activate more frequently as the time span becomes longer. Finding a downward trend, appropriately stretching the Fibonacci lines, waiting for confirmation, and placing an order are the essential duties of a trader. Numerous strategies for using numerical series in trading exist. How Fibonacci Levels Work And How To Use Them In Trading Trading professionals can examine the changes in asset values by using Fibonacci numbers that are displayed as lines on the chart. As a result, resistance/support levels are established, and the degree of a trend movement's already-started corrective is examined. The price typically follows the guidelines of key levels on the Fibonacci lines. Therefore, there is a strong likelihood of a price reversal at the level, for instance, if the price crosses the line. Fibonacci retracement levels are particularly helpful for discovering pullback levels, for establishing the conclusion of a pullback, and for the continuation of price movement along with the trend because pullbacks are a natural part of every trend. The key correction levels are created by the interrelations between a trend and a correction shown by Fibonacci levels, which have recovery probabilities of 38%, 50%, and 62%. It only takes placing a grid over critical spots to see that pivotal price levels frequently cross Fibonacci percentage lines. Fibonacci levels and graphical patterns can be used to coincidentally determine market entrance and exit points. Opening profitable trading positions after a collapse or rebound from a level is beneficial. Trading professionals frequently employ Fibonacci lines to place Stop-Loss and Take-Profit orders. To avoid being caught by an unintentional pullback, it is preferable to position the Stop-Loss order above the levels (for the recovery from which the trader is counting). Take-Profit levels are based on Fibonacci extension.Remember that on a price chart, the support/resistance areas that coincide with the Fibonacci net levels are viewed as further support for the lines' significance. This instrument is the foundation of many trading techniques. Beginners should be aware that there is no definitive interpretation of the Fibonacci technique; it is merely a point of reference. Trading systems frequently incorporate Fibonacci levels with other technical analysis tools because this technique can occasionally fail to corroborate the signals. Importance Of Different Fibonacci Levels Expert traders claim that not every Fibonacci level behaves the same way on a price chart. Before using the instrument for trading, some regularities should be studied. Fibonacci levels and their importance in trading: 23.6 - weak, a clear confirmation is required to use it in trading. 38.2 - an important level, the price of the asset bounces from it for further consolidation. 50 is intermediate in importance between the two previous levels and gives a high probability of trigger. 61.8 - strong, like 38.2. 76.4 - 80.9 is a strong level as well. The likelihood of a profitable trade is quite high if we consider the strength of the levels, trade in line with the trend, weed out erroneous signals using a straightforward extra indicator, and avoid using low time frames. Additionally, it's critical to remember risk management and trading psychology's fundamental principles. Advice for using 38%, 50%, and 62% levels effectively Stretched between the trend's minimum and maximum, a grid is drawn on the graph. On the charts, three to four separate time frames with longer value movements can be displayed in various colors. Numerous Fibonacci levels will be displayed on the graph, allowing for analysis. Usually several of them exactly coincide on various time scales, therefore they are regarded as significant support/resistance levels. These three can be utilized to enter positions and exit open ones because fibonacci numbers have potentially important levels. These price retreat levels by themselves are not what drives price movement; if this line doesn't have the appropriate support, it will simply go to the next. More accurate signals are produced by combining Fibonacci with other tools (such as Moving Averages, trading channels, reversal patterns, etc.). A significant resistance/support level is 62%. When it is attained, the price frequently starts to vary erratically. When the price surges past the 62% level and moves on to the 70–75% retracement level (before returning to the 62% level), you can place an order. When two to three further crossover signals are received, trades can be initiated from deep retracement levels. It is preferable to avoid entering if there are no cross confirmations. It's also a good idea to keep in mind that once the correctional movement reaches the 62% pullback level, it may go on to reach 100% in the chosen time frame and stop the trend. Fibonacci Levels: How to Use Them in Forex Trading Fibonacci levels can be used relatively easily. The most crucial levels in forex trading are 23.6% and 38.2%, 61.8% and 76.4%. They are used to identify price pullbacks; when one appears on the chart, one should wait for a favorable price before joining the impulse (enter the movement at the moment of a pullback). When there is a significant market movement, the asset's price can drop by up to 23.6%, 38.2%, or even 50%. These ranges are regarded as ideal. Price increases of 61.8% or more may signal the beginning of a trend reversal. The Fibonacci levels should be drawn correctly: -Finding the price impulse. -Plotting the grid on the chart. -The expectation of a pullback to 23.6% or 38.2% or 50% to enter the market. -When there is no pullback, the price keeps moving, updating the lows/maximums, it is worth pulling over the grid based on new local extrema. -In this case, it is important not so much to determine the levels as to understand whether the current price movement is a correction concerning the previous one or the beginning of a new trend. When Fibonacci Correction Levels Do Not Work Fibonacci levels are not 100% reliable signals; they are more like rough guidelines that give information about the movement that is likely to occur. Fibonacci levels can also be broken occasionally, just like support/resistance levels can. There are many exceptions to the rules, therefore it is advisable to check the signals with additional tools and to take the maximum precautions when opening any position. The levels need to be carefully worked, refined, and filtered on a regular basis. Sometimes levels might be crossed, and the bounce occurs at 61.8 instead of 50%; other times, the price skips levels and views essential ones as weak and unimportant ones as important. Because of all these features, it is important to be able to combine different tools in a strategy and constantly gain experience trading with the selected tools. Conclusion The suggested strategy broadens the potential uses for trading with Fibonacci levels. You can use it to your advantage so that practically any corrective movement—not just ones that conclude at 38.2% or 61.8%—will be beneficial. You must be able to accept what the market offers you since it doesn't always move that well.
Education
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How to never break your Trading Account?Follow We Trade Waves 4 Golden Trading Rules! 1) Do Not Over-Risk Big Risk = big loss = potential big profit | Small Risk = small loss = potential big profit (Read this again) 2) Do Not Over-Trade Successful trading is not about trading often, it's about being selective and trade correctly! 3) Do Not Trade Without Stop Loss Check GBPAUD, CHFJPY, GBPJPY Daily chart and you will see market sometimes move thousand pips within minutes! 4) Never Ever Add To Losing Position While you are thinking that you will break even faster which is true! you will be doubling, tripling your risk at the same time! Print above rules and keep them in front of you while trading DISCLAIMER: We Trade Waves is not a signal service. Instead, it involves sharing our perspective and detailed analysis based on our unique wave analysis concept. We cannot be held responsible for any financial gain or loss that may result from following our analysis. Trade with care WTW Team
Education
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10 Golden rules of investing Investments are neither complex nor difficult. There is a set of golden rules that help investors stay on track to achieve their ultimate financial goals. When it comes to money management, investments play a key role in creating wealth. At first, it can be difficult for you to decide which product to choose, where to invest, how much to keep, and so on. But as you continue, you will get a better understanding of how the investment market works. Keep in mind that no matter how disciplined you are and no matter what rules you follow, investing comes with risks and you can still get back less than you invested. Here is our summary of the 10 Rules Every Investor Should Know: 1. Do your own research Don't blindly trust what someone says on the internet, make sure it's backed up by multiple credible sources. Most people are biased about the cryptocurrencies they own, so naturally they can't say anything but good things about the coins in their portfolio while attacking the ones that aren't. Do your best to understand the positives and negatives of cryptocurrencies and develop an unbiased opinion. 2. Set clear goals Knowing your financial goals and the time frame for which you are investing can help you stick to your strategy. For example, if you have long-term goals, such as saving money for your children's education or for a personal retirement that may be decades away, you may be less tempted to invest before that time. 3. Never invest in something you don't understand Before investing in any investment, take the time to research it thoroughly so you understand exactly what is involved and what the risks are. Funds, for example, issue a Key Investor Information Document (KIID) or a Key Information Document (KID) that explains the fund's main functions and fees. You must read this before investing. If you are investing in individual projects, make sure you know what the company is doing and how it plans to make money in the future. In the cryptocurrency market, projects also have various documentation, white paper, roadmap. Before investing, you need to study all this and subscribe to the social networks of the project in order to understand the general mood of the project and investors and be aware of the latest news. 4. Don't put all your eggs in one basket Today, this rule is more relevant than ever. We all know the saying "don't put all your eggs in one basket", but it's especially important to apply this rule when investing. Spreading your money across a range of different asset types and geographies means you won't be too dependent on one type of investment or region. This means that if one of them performs poorly, some of the other investments may make up for those losses, although there are no guarantees. 5. The greater the potential return, the higher the level of risk The prospect of higher returns may be attractive, but there is usually a greater risk of losing funds. Think carefully about your approach to risk. You may be more comfortable choosing less risky investments, even if returns are likely to be lower. However, remember that no investment is without risk, and there is always a chance that you can return less than you invested. If, nevertheless, the temptation to enter a highly profitable and high-risk asset eats you up from the inside - invest, however, with a very small part of your total deposit. 6. Long-term investments are not always accompanied by high returns. First of all, it is necessary to understand for ourselves what profitability we want to receive from a company or project. Reading the documentation and roadmap, we do not assume that the company will exist for decades. First of all, we argue that with due efforts, the capitalization of the project can double. Yes, it may take several years. However, the goal should be expressed in terms of percentage of profit, and not in terms of the investment period. After all, it may happen that the value of assets will return to the price values of a decade ago or, even worse, the company will simply close. 7. If something seems too good to be true, it usually is. Beware of highly speculative investments that seem too good to be true, don't follow the crowd and invest (or sell) just because other people do. For example, many investors invested in the digital currency bitcoin in the second half of 2017, when its price rose, but its value fell by half in a month. In mid-December 2017, Bitcoin was trading at almost $20,000, but by mid-January 2018, it had fallen below $10,000. Those who at that moment could not cope with stress and sold “at the bottom” lost A fortune. 8. Income reinvestment or cost averaging can help increase overall returns The DCA strategy helps to avoid asset volatility and allows you not to constantly monitor a company or project. If you are not looking for a quick return on your investment, then you may want to consider reinvesting your funds to buy more of your investment, which will potentially increase in value and increase your overall profit. Simply put, your earnings also generate a return, which is known as compound interest. However, keep in mind that reinvesting income rather than receiving it as cash means you could lose it or see its value drop. If any income you receive is automatically reinvested – for example, if you invest in shares directly and subscribe to Automatic Dividend Reinvestment (ADR) – you will also not be able to choose the price at which you will buy any additional shares, so it can be low or high. 9. Review your portfolio and rebalance Markets are constantly changing, and so are your investments. You will be investing for many years, so it is important to carry out regular checks to stay on top of your money. Sometimes your initial asset allocation can get out of balance, so you need to rebalance it. For example, the market can fluctuate in different directions, effectively changing the percentage of your investment. Do you want to work on maintaining a percentage that will help you reach your goals? If you don't take action, you can have a lot more of one asset class than another when the market fluctuates. As part of the rebalancing process, you buy or sell certain investments to return to your desired asset allocation. This can help prevent a portfolio from being too aggressive when the goal is to minimize risk. In addition, by rebalancing you will avoid having too many assets of a certain class and restore your portfolio back to the original set of assets. 10. Don't try to time the market In an ideal world, you could buy investments just before they appreciate and sell before they fall. However, no one knows which direction the stock markets will move next, so trying to predict market ups and downs can result in you buying or selling at the most inopportune times. Buying and holding investments can help you stay committed to your investments for the long term by avoiding panic decisions when the markets are volatile. If you want to start investing, use these golden rules. By using these simple investment strategies, you can make your money work for you and take care of your future. If you think that the potential reward is not worth the risk, then investing is not for you.
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SOME OF LEGAL ADVICESHey what’s up every body Today i just wanna talk about some of jokes or layers in this domain of forex trading.. STOP CALCULATING PIPS FOR EVERY SINGLE DAY. STOP✋ Here what I mean When you talk about 700pip per month stop laying on your self about ‘Its all you need to catch 33 or 30 pips a day Its not true guys there is no one can do it in constant permission Start think about 4 to 5 winning trade to catch 90 pips each one or 3 over winning trade about 200 pips This you can do easily p And POV when u catch this numbers of pips above with 5% of capital lot with 1 or 2% of SL you will get arround 30% of profit Stay focused on your plan and strategies dont go for pips every sigle day side Have a nice weekend…
Education
7 Reasons why Elite Traders Crush the CompetitionHello TradingView world, I have been trading for almost 15 years and have learned some serious lessons about trading and the markets. I have also been fortunate enough to interact with many great traders over that time that have helped me tremendously, however I still struggled for a long while and wondered why I wasn’t making the progress I desperately wanted to make. I thought just like everyone else, that if I found the perfect trading strategy, all of my problems would vanish and profits would rain down from the sky like salt bae letting salt drip down off his forearm. Well guess what happened? I ACTUALLY DID FIND IT. In fact, my analysis in the market was so damn good that in 2013 I was invited to speak on a worldwide webinar hosted by Daily-FX which was then owned by FXCM. I’d have a 50 pip stop with a 500+ pip price target and I was nailing the trades left and right, so this was the reason I was invited on. I was working at the Federal Reserve Bank of New York during this time and I ended up leaving that job to trade full time that same year. Things went smoothly for a while. I partied… A LOT. Did all kinds of reckless and stupid things with my time and money and I ultimately lost it all by 2015. I pondered for a long time about what happened and once I removed my ego and stubbornness, I figured out that what makes a trader great has nothing to do with the outside and has everything to do with the inside. This is the TRUE secret of trading success. It’s all about YOU and how YOU approach trading. There is so much more to the story but without further hesitation, based on what I have learned from other great traders and have personally learned through brutal hard lessons, this is why Elite traders crush everyone else in the market and if you begin employing these lessons in your own trading, I can guarantee that you will see a dramatic change in your results. #1 - ELITE TRADERS ARE LEAGUES ABOVE YOU IN PATIENCE Everyone gets into trading for one thing and one thing only; to make money and to make as much of it as possible. One thing that the majority of traders do is that they also want to do it in the FASTEST way possible. This is where they screw up but is it any surprise that this is the case? I mean look all around you in terms of social media (Facebook, Instagram, YouTube, etc.) it’s all over the place with people touting “Watch me turn $1,000 into $10,000 in just a few days!” … This gets views, it gets attention and it encourages other traders to continuously take on massive risks in order to achieve this. Is it possible to do? YES, because many traders (Including myself) have done it but what does it also do? It creates detrimental habits that keep you in this mindset of turning a small account into a large account quickly and then that one day comes when you take on massive risk on a trade that looks “good” but ends up going violently against you for a huge loss or COMPLETE destruction of your account. Another factor is that the majority of traders want to be in the market ALL of the time. They can’t resist staying out and staying flat during times of uncertainty or when the charts aren’t clear enough to validate putting their capital at risk. Elite traders can wait hours, days and even WEEKS before putting on another trade because they understand, their trading opportunity is not yet clear and they rather wait as long as possible in order to enter the market at the most optimal time and conditions. Think about it; do you want to be in the market on a consistent basis? Are you able to wait a few days or a few weeks before putting on a new trade? It’s a very difficult thing for many traders to do while Elite traders have mastered the game of patience to their advantage. It’s not a matter of how long is the next trade going to take to develop? Rather, I’ll take the next trade when the optimal conditions are met regardless of how long it takes. #2 - ELITE TRADERS KNOW THEIR OWN WEAKNESSES Everyone has weaknesses whether we like to admit it or not. Some traders are severely impatient, some have a problem with risk management, some have a problem with making impulsive trades and become reckless, some have a problem with over analyzing their charts or trying to look at multiple markets at the same time, etc. Most traders either try to suppress them or choose to ignore them completely and this causes many to struggle and stay frustrated. Have you ever thought to yourself, “Shit, why did I do that!?” or “Why did I get out when I should have stayed in” or “Why did I chase it! I knew I should have stayed out” … There is a weakness there that you have not learned to master or work on improving it. Even if you finally acknowledge it and try to write it down or post it on your wall by your trading desk… You STILL end up making that mistake and frustration takes over. Elite traders through trial and error have learned to master their INTERNAL trading character. They know what triggers them and have found a way to stop it in its tracks so that mistakes are kept under control. They also understand that when these weaknesses start to creep up on them, they can identify WHY it’s happening and talk themselves out of it. For example, if the market is rising and it looks like it’s going to get away from them, they understand that by chasing after it, the market could turn around and leave them with an unnecessary loss or trap them in a position that they should have not gotten into in the first place. Their attitude is “The market did not give me the optimal trading opportunity that I wanted therefore I will wait. Let the market do whatever it’s going to do, I don’t care. I only care about my optimal trading opportunities” This tie’s in with reason #1 (Patience). They will not let ANYTHING force them into trades they shouldn’t be in. #3 - ELITE TRADERS FOCUS ON ONE MARKET/PAIR/SECTOR This is not only true of trading but life in general, focusing on one thing and mastering that one thing to become great at it. There are a multitude of instruments and markets to trade and it gives us traders the freedom to choose where we’d like to put our capital to work but as many of us know, too much choice can actually be a bad thing. When it comes to the Forex market, we have many pairs we can work with and that can actually be a problem. Everyone has a watch-list of pairs that they want to trade but is that causing you more trading struggles for you or keeping you confused? Whether the answer is yes or no, why are you doing that? And the answer is most likely because you believe it presents more trading opportunities but that is not always the right way to go about things. Each pair moves and reacts differently during certain market conditions and what works well on the EUR/USD may not work on the GBP/JPY. While the EUR/USD moves at a more stable pace and a big day would be considered a 1% move, the GBP/JPY can become wildly explosive and relentless when it comes to market volatility. Elite traders know this and they stick to ONE thing and become a master at it. I personally stick to the EUR/USD and that is MORE than enough to make profitable trades on. Elite traders do not divert to other markets or other pairs to try and make more profits but they lock down and focus on that one pair and crush it. It’s not common for the majority of traders to do this because they feel that they will be missing out on other trading opportunities but are they really? Or are they just finding multiple ways to take losses? In order to trade this way, it would require the ability to stay incredibly patient but it would allow for you to stay away from multiple charts and remain disciplined while not putting your capital at risk and avoiding impulse/emotional trades. This is not common but then again… this is why Elite traders do it and the majority does not. #4 - ELITE TRADERS PREFER A LONGER TERM OUTLOOK Just look at the screenshots of charts scattered on trading forums, social media or any other discussion outlet, more times than not everyone’s looking at the 1 Minute all through the 4 Hour time frames. You’ll find a few daily charts here and there and even less Weekly+ charts. Most traders want to be in the market every day and this is why Day trading is so enticing, it gives them a reason to log in, open up their charts and look for trading opportunities to make money. That’s a Mistake. You’re probably noticing that the previous 3 reasons tie into this reason and that’s because this is just another manifestation of lack of patience or inability to focus on one thing. Short term charts give the impression that there will be more moves to get in and out and not staying in a position overnight. Yes, I get that some traders out there prefer to just get into the market and then be done with it at the end of the day but more times than not, you’ll end up making impulsive trades that creates a string of losses if you don’t have your emotions in check. Elite traders like to look at the “whole picture” and prefer looking at the daily charts and up. Since longer time frames take time to develop, this is perfectly fine for them as it gives them more time to prepare for the upcoming trade and analyze the levels, they want to take a position and take profit. Once they enter a position, they set their stop and let the market work for them. They don’t need to check their positions multiple times per day since they know the market will take its time doing what it’s going to do and therefore have time for other activities in their lives or businesses. #5 - ELITE TRADERS VIEW TRADING FROM A BUSINESS PERSPECTIVE “How much can I make per day”, “How much can I make per week” or “How much can I make per month” … This is what you’ll usually hear from the majority of traders but how many times have you heard “We’ll see how performance looks at the end of the Quarter”? I’m willing to bet, not many. There is a lot of hype about how much can be made in one day or week but trading is not about just one day, one week or one month, it’s about the long game and how results look over time. Some Elite traders even go as far as looking at profit-loss on a yearly basis but because market conditions change throughout the year, reviewing how performance looks like at the end of the quarter is preferable. There is no rush to try to make a gain at the end of the day, week or month. Spacing out P/L review allows opportunities to both develop and play out especially if the market is trending. Elite traders don’t mess around in the market either, this is not a game or hobby for them while many amateurs in the market don’t take it as seriously as you would think. They know that the market is a battlefield and the other side of the trade won’t hesitate for a Nano-second to take their money. They understand that trading should be treated with the same care as running a business and properly deploying their capital out into the market is essential in bringing back even more capital for future trading opportunities that yield larger profits. Although trading is now offered to the masses and anyone can pretty much open a brokerage account and begin to trade, there are millions of traders that are misinformed and approach the market incorrectly and unprofessionally. “But, I’m not looking to trade professionally, I just want to trade casually” sure, that is completely fine however guess who’s going to eat you alive in the markets? That’s right, the Elite traders who do take things seriously and professionally. #6 - ELITE TRADERS PROTECT THEIR CAPITAL AT ALL TIMES In the boxing world, what is one of the warnings referees issue to the fighter’s right before the fight begins? “Keep your hands up and Protect yourself at all times!” and for good reason, right? So that they do not put their hands down and get a crushing hard punch to the head that knocks them out cold. It doesn’t matter how well you trained or for how long you’ve trained because one lazy mistake can cost you the fight, in some cases brutally. If you’ve been in the trading scene for any length of time, you have read or heard it countless times “manage your risk, manage your risk, manage your risk!” but how many traders ACTUALLY do it? You’d be surprised at how many do not do it at all because it’s painful to do. Painful? How so?... Well, it requires one to make small gains over time instead of putting the pedal to the metal and use high leverage on one single trade. That’s very difficult for the majority of traders to do because that means no “Account Flips” or trying to hit a homerun trade every single time and let’s face it, everyone is trying to get “rich” quickly. Elite traders know that just one mistake of not practicing sound money management by either not using a stop loss or using too much leverage can be extremely dangerous to their account and they know that it’s just not worth it. On another note, they understand that following risk control is instilling good and strong habits for their subconscious mind and it will carry along for the rest of their careers if they just stick to that simple principle. If there’s one major reason the majority of traders fail while a small percentage of traders make money consistently, it’s a lack of risk management and account/capital protection. Before you step into the unforgiving arena (Forex) be sure to protect your account at ALL times! Keep your "Guard" up and play defense! #7 - ELITE TRADERS AVOID DISTRACTIONS AND NOISE This is a pretty interesting and controversial one. It can be difficult to ignore the distractions and noise because us traders want to be part of a group or community so that we can share ideas and forecasts along with everyone else but sometimes, you’ve got to be careful with this. You may have an idea or outlook that goes against what others think is going to happen and it could get you off track. You may have experienced this a few times where you believe the market is going to go in one direction and others share the complete opposite view which then causes you to doubt your analysis. You end up cutting the position too early for fear of being wrong and ultimately the market goes in the direction you thought it would and you’re left frustrated. Distractions can also come in the form of upcoming economic data such as the Federal Reserve coming out with Interest Rates or its chairman Jerome Powell talking about certain economic projections. Volatility spikes up and it sucks you into the hype but if you have a sound trading strategy and rules, you may have noticed that even during high volatility, the market still respects order on the charts. It just moves as a faster pace. I have personally experienced this through my years of trading, in fact a recent memory comes to mind in 2020. I was invited by an online friend to a private Meta trading group and I wanted to offer some help and insight into what I knew, so I shared a screenshot of my outlook of the EUR/USD going forward. It was a powerful chart pattern I had seen countless times on the weekly chart and the EUR/USD was trading around 1.0850. Once I shared my screenshot calling for the Euro to make a strong 1000+ pip move and trend towards 1.2000 to 1.2200, some other group member immediately called my analysis a joke and that chart patterns were garbage and useless. I was going to retaliate back but I thought to myself, this is childish, unprofessional and really unproductive, so I immediately left that group. My friend apologized and said the other guy had a chip on his shoulder because he was former banker for a massive global investment bank (I won’t say which one but I can guarantee you, everyone knows it). I appreciated the apology and left it at that. I the end, all that mattered to me was that as the months went by, the EUR/USD did in fact trend towards the exact projected price levels. That was a lesson for me to avoid detrimental opinions from others. Elite traders know about this type of noise and are sure to remove any of that from their trading. This is why many stay “undercover” and you don’t really hear about them. They stay under the radar and just do what they do and do it well. The overall lesson here is that a community should be about helping others and uplifting them, even when they’re wrong. No matter how great a trader is, he/she still deals with losses and nobody is ever correct 100% of the time. Trading is already difficult, so by encouraging and helping others become better at trading the markets, everyone improves as a whole. Conclusion There you have it, just some of the basics of what Elite traders do and what has transformed my own trading results tremendously. We all know that there are a variety of ways to approach the market but if there is one takeaway from all of this is that, Top Level traders have learned to master themselves and how they mentally approach trading. It’s actually quite simple and straight forward however it can be hard to implement in real time but that doesn’t mean that it cannot be done and transform your own trading. I wish you the best in your trading journey. I personally know it can be VERY tough but it's well worth it. Keep at it and never give up.
Education
How to be a LASER Trader!Rinse and repeat. That’s it… It’s one simple little acronym you’ll never forget… Ready? LASER your TRADES 1: Look The first thing you’ll need to do, is to go through your watchlist very quickly. A watch list is a list of markets you’ll LOOK through when finding trades. These markets can range from anything including shares, indices, commodities, currencies and crypto-currencies. When you have your watch list, you’ll go through the list and get a feel for how the markets have moved for the day. Example: Before I trade anything, I LOOK at the JSE All Share 40 stocks that are in my watch list. I then run through them briefly to see how the markets are performing. 2: Analyse The second round of going through your watch list, is where you’ll look for specific trading setups. Whether you trade using price action, patterns, indicators, volume etc… This is where you’ll ANALYSE the charts individually. Also with this step you’ll write down potential trades that are lining up. 3: Setup The third step is to go back to the markets that you’ve written down – which you’re looking to trade. You’ll then do your simple trading calculations and place your chart SETUPS so you can see where your trading levels are. EXAMPLE: If I see a trade that’s lined up, I’ll draw horizontal levels showing where my entry, Stop loss (risk) and take profit (reward) levels are… I like to use: Blue for entry Red for stop loss Green for take profit 4: Execute You’re ready to JUST TAKE THE TRADE! And then you’ll place your entry, stop loss and take profit levels. You’ll choose how many CFDs you’ll need to buy according to your money management rules. And then hit trade! 5: Record As soon as you’ve successfully taken the trade, head over to your journal (excel document) and record your trade transaction. That’s how to be a LASER Trader… And on a daily or weekly basis, you’ll repeat those steps…
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Litecoin - Are you a Bob -Trader ?Hi Traders, Investors and Speculators of the Charts 📈📉 The continues market cycle between Bitcoin and altcoins can clearly be seen at the moment. It goes something like this: 🤩 Bitcoin goes UP ... Bob Fomo buys the rally 🤔 Bitcoin corrects ... Bob panics and sells 🤑 Altcoin rallies ... Bob thinks, screw BTC, I'm going all in on this altcoin 😨 Altcoins correct ... Bob panics. Altcoins are scams! Sells everything 🤩 Bitcoin goes up .... Bob Fomo buys the rally Moral of the story... Don't be like Bob. Don't try to FOMO in whilst the price is going up. Plan your trade, preset your TP and SL. Interested in another alt with massive upside potential? Here's a low risk high reward setup on LINKUSDT : _______________________ 📢Follow us here on TradingView for daily updates and trade ideas on crypto , stocks and commodities 💎Hit like & Follow 👍 We thank you for your support ! CryptoCheck
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Microsoft -> Very Bullish Inverted Head And ShouldersHello Traders, welcome to this free and educational multi-timeframe technical analysis. Microsoft just recently perfectly tested and rejected a quite strong and obvious previous support/resistance zone towards the upside. It also seems like Microsoft is about to create a double bottom from a weekly perspective, which is generally speaking a very bullish pattern, leading to more upside potential. On the daily timeframe we actually have a quite interesting situation. You can see that the market is currently crating an inverted head and shoulders and just yesterday and today broke above and retested the neckline, which again is simply previous resistance which is now turned support. Now from here I do expect further continuation towards the upside, confirming the bullish inverted head and shoulders pattern. Thank you for watching and I will see you tomorrow!
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Short-term up with range later in 2023Why market is entering into short-term bullishness again and latter uncertainty or range? We will do both technical and fundamental analysis in this video tutorial, and we will see how both analyses can affirm each other. Content: . Why market is entering into a short-term bullishness? (Fundamental & Technical studies) . Subsequently the market will enter into a range (Fundamental & Technical studies) CME Micro Nasdaq Futures Minimum fluctuation 0.25 = $0.50 1 = $2 10 = $20 100 = $200 1000 = $2,000 Disclaimer: • What presented here is not a recommendation, please consult your licensed broker. • Our mission is to create lateral thinking skills for every investor and trader, knowing when to take a calculated risk with market uncertainty and a bolder risk when opportunity arises. CME Real-time Market Data help identify trading set-ups in real-time and express my market views. If you have futures in your trading portfolio, you can check out on CME Group data plans available that suit your trading needs www.tradingview.com
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Tradingview Telegram Webhook Bot with Chart Snapshot (Revised)Hello Everyone, In this video, we will try to go through revised implementation of Tradingview-Telegram-Bot which can be used to send alert messages from tradingview to telegram along with current chart snapshot. 🎲 Base Initial version of the same idea are as below: How-to-create-simple-web-hook-to-send-alerts-to-Telegram How-to-capture-chart-snapshot-in-tradingview-telegram-alert-bot 🎲 Prerequisite Before proceeding with the current video, please watch the first video - How-to-create-simple-web-hook-to-send-alerts-to-Telegram which covers lots of basic things such as Creating Telegram Bot using botfather and capturing required information such as TOKEN and CHANNEL Basic usage of replit - a cloud based hosting service which lets us define our webhooks with little to no cost. Postman - tool which is required to test the webhooks created Other information such as keeping the bot alive via cronjob, using the webhooks in tradingview alert widget etc. 🎲 Setup Clone/fork replit repo Set mandatory environment variables CHANNEL and TOKEN Set optional environment variables username/password or sessionid Run the bot and start using webhooks 🎲 Usage Webhook URL will be of the format. https://Tradingview-Telegram-Bot. .repl.co/webhook? 🎲 Important Query parameters jsonRequest - can be set as true/false. Default is false. If set to true, the payload should be a standard json. Output to telegram will be sent in tabular format. If not set or if set to false, output to telegram will be clear text. tblfmt - table format to be used when jsonRequest is set to true. Default is plain. The values are exactly same as the ones required for tabulate package. chart - Send the chart id if required to send chart snapshot along with alert message. For this to work - chart needs to be either a shared chart or environment variables for tvusername and tvpassword should be set to the user who has access to given chart. ticker - Chart ticker. You no longer need to use different chart for different tickers. You can have a common chart and pass ticker to it so that chart will automatically switch to given ticker before taking screenshot delivery - Taking chart snapshot takes time. This also delays the delivery of alert message. To avoid this, we can use this option - delivery=asap so that alert message will be sent as soon as possible and chart is sent later. If this parameter is not set, then both the messages will be delivered together. 🎲 Repository URLs Tradingview-Telegram-Bot-Github Tradingview-Telegram-Bot-Replit
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