Get started

Look first
/
Then leap.

Always an informed investment decision.

First you prepare, then you go for it.

BTCUSD
TSLA
AAPL
Chart. Chat. Trade. Repeat

Join 30 million traders and investors making better, brighter decisions in the world markets.

Explore features

Market summary

S&P 500ES1!
Nasdaq 100NQ1!
Bitcoin IndexXBT
U.S. Dollar IndexDX1!
Dow 30YM1!
Russell 2000RTY1!
AppleAAPL
Advanced Micro Devices IncAMD
Amazon Com IncAMZN
Tesla, IncTSLA
Netflix, IncNFLX
Meta Platforms, IncMETA
Crypto Market CapTOTAL
BitcoinBTCUSD
EthereumETHUSD
SOL/USDSOLUSD
UniswapUNIUSD
Luna / U.S. DollarLUNAUSD
EUR/USDEURUSD
GBP/USDGBPUSD
USD/JPYUSDJPY
AUD/USDAUDUSD
USD/CADUSDCAD
USD/CHFUSDCHF
GoldGC1!
SilverSI1!
Crude OilCL1!
Natural GasNG1!
CornZC1!
BitcoinBTC1!
US 10YUS10Y
Euro 10YEU10Y
Germany 10YDE10Y
Japan 10Y YieldJP10Y
UK 10YGB10Y
India 10YIN10Y

Editors' picks

The ECB's strong message, dovish FED, and a high alertYesterday, Bitcoin broke above the 17 000$ price tag in spite of a strong message coming out of the European Central Bank (ECB). The official Twitter account of the ECB tweeted that the price of Bitcoin is artificially held up (at the moment) and that soon it will embark on a journey to irrelevance. This is an unusual statement from the European officials, leaving us only to speculate about the workings behind the veil. Therefore, this message puts us on high alert. The actual message from the official Twitter account of ECB: "The apparent stabilisation of bitcoin’s value is likely to be an artificially induced last gasp before the crypto-asset embarks on a road to irrelevance. #TheECBblog looks at where bitcoin stands amid widespread volatility in the crypto markets." Meanwhile, on the other side of the world, Jerome Powell said during his speech that as soon as in December 2022, the pace of rate hikes might slow down. Despite this being nothing new, the market sought a pivot in Powell’s statements and rose across the board. However, the market discounts the fact that interest rates are here to stay for much longer than initially thought. Additionally, the market participants seem to ignore that rate hikes will continue to increase, putting more pressure on debt servicing and the overall economy. As a result, we expect the bear market to continue to unravel and drag prices of cryptocurrencies and stocks much lower over time. Accordingly, we maintain our price targets at 15 000$ and 13 000$. Illustration 1.01 Illustration 1.01 displays the daily chart of BTCUSD and two simple moving averages in a bearish constellation. The yellow arrow indicates the price retracement above the 20-day SMA, which often coincides with corrections and is bullish for the short term. Now, the 20-day SMA acts as a support level; meanwhile, the 50-day SMA acts as a resistance level. Please feel free to express your ideas and thoughts in the comment section. DISCLAIMER: This analysis is not intended to encourage any buying or selling of any particular securities. Furthermore, it should not be a basis for taking any trade action by an individual investor. Therefore, your own due diligence is highly advised before entering a trade.
Editors' picks
25
#BTC is getting ready for the Big move!!Hi guys, This is CryptoMojo, One of the most active trading view authors and fastest-growing communities. Consider following me for the latest updates and Long /Short calls on almost every exchange. I post short mid and long-term trade setups too. Let’s get to the chart! I have tried my best to bring the best possible outcome to this chart, Do not consider financial advice. #BTC UPDATE BTC is forming this big falling wedge pattern what is falling wedge pattern The falling wedge is a bullish pattern. Together with the rising wedge formation, these two create a powerful pattern that signals a change in the trend direction. In general, a falling wedge pattern is considered to be a reversal pattern, although there are examples when it facilitates a continuation of the same trend. *BTC Need to Clear the 18,500 Resistance to Confirm the Falling Wedge Breakout * RSI is also sowing some bullish divergences move *If it conform this pattern then according to the pattern we will see good bounce Stay tuned I will keep updating This chart is likely to help you make better trade decisions if it does consider upvoting it. I would also love to know your charts and views in the comment section. Thank you
Editors' picks
23
Another Inverted Yield Curve with Even More Predictive PowerThe Federal Reserve Chair Jerome Powell spoke again today at a Brookings Institution event. His comments sparked a rally in markets (likely including short covering) that pushed the S&P 500 SP:SPX up about 122 points, or 3.10%, to close at 4080. The Nasdaq 100 NASDAQ:NDX rose 4.58% on the day, closing at 12,030. But the bond market is sending less sanguine signals. The 10Y/3M yield curve inverted further today. Its inversion is currently the deepest since the slightly deeper inversion of this segment of the yield curve in 2000-2001 inversion, which had presaged the 2-year bear market from 2000-2002. The 10Y/3M curve has been researched more than the more widely known 10Y/2Y curve (also known as the 10s/2s). Experts say inversions of the 10Y/3M serve as better predictors of recession than the 10Y/2Y curve. The yield curve has remained inverted for over a month now. This qualifies as a "persistent inversion" that creates a recession signal. But the recession does not always follow immediately. According to Jim Bianco of Bianco Research LLC, "The average lead time" until the recession arises "is 311 days, or about 10 months." What does this offer for traders then? On days when equity markets are rallying like there is no tomorrow, it tells us that markets are not out of the woods despite the buying frenzy. It means that a recession is more probable than not in the next year. But it doesn't tell us much about where prices are headed in the near term (technical analysis of price itself works better for this purpose). Just because a recession will likely begin in the coming weeks or months does not necessitate that equity markets plummet in a straight line to the ideal target. Many, including this author, wishes it could be as straightforward and predictable. So traders should also keep in mind that inverted curves are not a trading signal. They are part of the broader economic and rate-policy context within which equity markets operate. It helps me to know that markets are not likely to resume a long-term uptrend until the recession has ended. The bond market tends to sniff out the problems in the economy long before other markets. And equity markets can ride on hope and desperation for much longer than anyone expects—just as this unexpected bear rally carried SPX price from the October 13, 2022 low all the way back above the 200-day MA today and higher to close at 4080.11. Below is a chart of the 10Y/2Y yield curve, which is also inverted. Supplementary Chart A: To compare the current 10Y/2Y inversion with some historic inversions, consider reading this prior post from July 2022 on the 2s / 10s yield curve inversion, and be sure to hit the refresh button to see the most recent months of data. The Wall Street Journal Confirmed in recent days, by the way, that the 2s / 10s curve Supplementary Chart B: Finally, on a monthly chart, one can easily see that the 2s / 10s curve inversion is the deepest one on record—at least as far back as the chart allows. Hat tip to @SPY_Master for pointing this record-breaking inversion recently. Supplementary Chart C:
Editors' picks
32
🟨 Ned Davis - 3 Day Price Thrust The market triggered last week the Ned Davis 3 Day Price Thrust Trigger Indicator - indicator available in my profile. The Thrusts occur when the S&P 500 rises at least 1.5% for one day, at least 1.15% for a second day, and at least 1.5% on the third day. The record since 1970 is perfect one year later. However, the prior18 cases, ending in 1938, only show 11 out of 18 profitable one year later. We have backtested this for you and show you the result. Bare in mind that the FED is speaking this week, which always brings extra volatility.
Editors' picks
Long
16
GEO: Michael Burry bought more GEO Michael Burry has bought more shares of this REIT so I thought I'd give a look at the chart for those who want to follow him. What the chart is saying: Big downtrend since May 2017. In May 2021, the stock has started a consolidation/base in form of a range between 5.5 and 9.54. This range could be a bottom formation. Note that bottoming pattern takes time and this one could continue for a few more weeks/months. However a break out of the range (9.54) could confirm a change of trend and a long trade/investment. Keep monitoring this stock in the next few days/weeks, set an alert at the top of the range. If it breaks out of the range, the first potential targets are 11, 13.90 and 17. I remain neutral for now. On watch.
Editors' picks
8
Is it better to trade large-cap or small-cap cryptocurrencies? When it comes to trading cryptocurrencies, many traders can be confused about which asset to trade. There are thousands of cryptocurrency projects on the market, of varying market capitalisation and utility. It is the latter quality that I want to focus on in this article as the size of the cryptocurrency can significantly affect the volatility and trading conditions of the asset. In crypto, market capitalization is the value you get when you multiply the unit price of a token or coin by the total number of such tokens in circulation. It is a measure of how big a digital asset is. Although the terms ‘large’ and ‘small’ are quantitatively ambiguous, a general rule is that a large-cap cryptocurrency has a market cap of more than $10 billion, while a low cap has less than this value. Going by this rule, at the time of writing, examples of large-cap cryptocurrencies are Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance coin (BNB), Ripple (XRP), Dogecoin (DOGE), and Cardano (ADA). Examples of low-cap assets are far more plentiful than large-cap assets. In fact, most outside of the largest 50 projects are valued at under $1 billion. Large-cap cryptocurrencies are typically considered less volatile than small-cap cryptocurrencies, because of the larger trading volume and larger number of market participants that they attract. However, be aware, this can lure traders into a false sense of security, because extreme volatility can appear in the charts of any cryptocurrency regardless of their market capitalisation. This is due to the immaturity and interconnectedness of the sector. Even so, small-cap cryptocurrencies have a higher volatility potential due to the lower trade volume that occurs with these assets, and thus, they generally have wider spreads. Traders of small-cap cryptocurrencies look to overcome the wider spreads by taking advantage of the larger price moves that can be inherent in these volatile assets. All the while, because small-cap assets attract less retail and media attention, market moving news reports can be few and far between, meaning that the driving factors of price action in small-cap assets can be mysterious at times. Before choosing whether to trade large-cap or small-cap cryptocurrencies you should understand how your trading strategy applies to the characteristics of each asset and what you want to achieve.
Editors' picks
8
AUD/USD storms higherThe Australian dollar has rebounded on Tuesday after a poor start to the week. In the European session, AUD/USD is trading at 0.6737, up 1.28%. What goes down ... can go right back up. This has been the story early this week for the Australian dollar, which tumbled 1.5% on Monday but has recovered most of those losses today. The Australian dollar was hit hard after a weak retail sales report and widespread unrest in China over the country's zero-covid policy. The unrest in China has put a damper on risk appetite, as the result is likely to exacerbate supply chain disruptions and dampen domestic spending. Investors may have sensed an opportunity for profit-taking after the massive slide on Monday, which would help explain the rebound today. The Fed doesn't hold a policy meeting for another two weeks, but the Fedspeak blitz, which started after the soft US inflation report sent the markets in a tizzy, continued in earnest on Monday. Fed member Bullard said on Monday the markets could be underestimating the likelihood of higher rates and that the Fed funds rate will have to reach the bottom end of the 5%-7% range in order to curb inflation, which has been more persistent than anticipated. Fed member Williams added that the Fed needed to do more work to tame inflation, which is "far too high". Fed member Brainard, a dove, expressed concern about inflation expectations rising above the Fed's 2% target. The Fed has been aggressive in telegraphing the markets that its rate cycle is far from over, a message we're likely to continue to hear in the coming weeks. AUD/USD is testing resistance at 0.6707. The next resistance line is 0.6829 There is support at 0.6633 and 0.6511
Editors' picks
7
EUR trader - a playbook for trading the EU CPI printEURUSD was on fire through EU trade stopping just shy of 1.0500 – talk of month-end flows predictably doing the rounds, but then it’s been all USD buyers taking us into session lows. The wash-up is an ominous set-up on the EURUSD daily, with a big rejection candle coming off a major supply zone and resistance above 1.0400 – we’ve even seen EUR sellers in US trade vs the AUD and NOK – so it puts emphasis on the view that we’d be seeing EUR month-end flows but these abated and traders faded EUR strength. The focus turns to EU CPI One of the key event risks this week and a big piece of the macro jigsaw will be the EU inflation data this week – it starts today with German regional CPI prints – notably the North Rhine CPI print is due at 17:30 AEDT (no consensus), and represents a decent chunk of German GDP – this will be followed by the German national CPI print at 00:00 AEDT, where the market expects inflation to remain unchanged at 10.4%, although falling modestly to 11.3% (from 11.6%) on EU harmonized basis. Following the German CPI print, we see France’s CPI out tomorrow at 18:45 AEDT (consensus 6.1% from 6.2%), before culminating in the Eurozone aggregate CPI inflation print at 21:00 AEDT – The consensus here is for headline inflation to drop from 10.6% to 10.4% - not a huge fall, but it would represent the first decline in EU CPI since August 2020. We can also study the form guide and see that EU CPI has come out topside of analysts’ consensus expectations in each of the past 19 EU CPI reports (although 3 have come in line). The significance of the CPI print is that it could go some way to shaping the outcome of the ECB meeting on 15 Dec – currently, we see the market pricing 60bp of hikes for the Dec ECB meeting which equates to a 40% chance of a 75bp hike – typically when we see a split like this, we can get rates volatility which spills over into increased FX movement. Using this pricing, a 50bp hike is still the base case, but that could be swayed if we don’t see the expected fall in price pressures. An overly simplistic playbook would suggest if EU CPI prints at 10.6%, and certainly above, then the odds of a 75bp hike from the ECB move above 50% and becomes the market's base case – in theory, a EUR positive vs the crosses. A CPI print below 10.2% should see 50bp become the strong default position. We can cast our minds back to last week and recall speeches from ECB executive board member Isabel Schnabel, as well as ECB members Lane and Muller – Schnabel’s comments – effectively calling for a further 75bp hike - have been supportive of the current rates pricing and we’ve seen hawkish commentary from President Lagarde in today’s session – again, it emphasises this CPI data could go some way to influencing this rate debate. We should also consider that there are some positive factors humming way in Europe – or at least less bad – we’ve seen EU NG prices crater, where Europe seems to have LNG all over the shop - stabilisation in energy prices which should help European corporate profitability – while in contraction we’ve seen EU PMI’s come in above expectations, while German IFO survey and GDP have improved. There are some signs of positivity if you look hard enough and this helps EU asset work to the upside – China remains the big unknown and could impact EU assets, just as it could broader global risk sentiment. Trading the EU CPI print Playing the EU CPI print suggests taking a closer focus on the EU FX cross rates – the USD is just so sensitive to market sentiment and risk on/risk off dynamics – Long EURCAD has been a big trend play of late, and a big EU CPI print and I’d be focused on this cross, with EURCHF pushing back towards 0.9900. A weak print, which takes pricing firmly to 50bp, and EURJPY shorts would be where I would be looking and another test of the 11 Nov lows. Naturally, the GER40 and EU equity markets would find better buyers on a low CPI print as real household incomes increase and rate hikes are priced out – the equity bulls could use some additional fodder given price has been consolidating and is starting to look vulnerable for better shorting opportunities – no sell signal on a swing timeframe but watching closely.
Editors' picks
1
Visualizing Business/Market Cycles Through Market Momentum: 1Visualizing Business and Market Cycles Through Market Momentum: Part 1 Effect of liquidity: Change in regime: It is often said that markets are discounting mechanisms, anticipating changes in the business cycle. I believe that it is generally true, and while it has been less true for most of the last two decades, that it is about to become true again. It is my view that the bull markets of the last fifteen years were largely an artifact of the flood of liquidity that followed the 2008 financial crisis. The deflationary forces created by globalization and technology enabled continued central bank activism and allowed fiscal authorities to run massive deficits without readily apparent repercussions. The combination of low inflation and immense liquidity effectively changed the nature of the markets. The willingness of monetary authorities to support asset prices rendered the business cycle benign and economic signals generated by the markets less useful. Bullish trends became longer and more entrenched, dips better supported, overbought conditions persisted longer while oversold conditions were fleeting. Counterproductive trading and investing behaviors and bad analysis were continuously bailed out by policy. I believe that a policy inflection has occurred. Central banks and fiscal authorities will become more and more constrained as inflation becomes a greater risk than deflation. Asset prices will again become more connected to the real economy and less connected to policy. Effective analysts recognize that changes in a fundamental regime can damage (or enhance) the effectiveness of a favored techncial approach. This series is going to focus on a technique that became less effective as asset prices were driven uniformly higher but that is now likely to become informative again. When I worked in the institutional setting I would place hundreds of assets, ratios, spreads of individual corporate bonds and equities into a 4 quadrant MACD momentum matrix. I would then condense the raw data into thematic groups and see what the matrix implied about the business cycle. In that setting I had help and systems to accomplish this. But, most of the value can be extracted by following thirty or so auctions and ratios. While there is no end to the number of permutations that can be utilized inside the matrix, most of the value can be extracted in a few hours at quarter end. The illustration is the distilled matrix info. In part 2 I will cover how the matrix is constructed and in subsequent installments how the information can used to help inform a macro viewpoint and investment process. And finally, many of the topics and techniques discussed in this post are part of the CMT Associations Chartered Market Technician’s curriculum. Good Trading: Stewart Taylor, CMT Chartered Market Technician Taylor Financial Communications 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
19

See all editors' picks ideas 

Snaps

01 Dec

The long and winding road

Since June, we’ve been going through a period which might be described as “rate hike hell”. Four consecutive 75 bps hikes by the Fed had sent any glimmer of market optimism down into the doldrums. But now, that might be set to change. Granted, dropping down from a 75 bps hike to a 50 bps one might not be a reason to pop champagne. But it could be a sign that the hardest part is over, and after the year we’ve had – we’ll take any piece of good news we can get. Let’s take a look.

Explore all daysExplore all days
SPX
Turning down the heat

Powell has brought the markets an early Christmas present, with signs that the rate hike heat might be starting to ease.

DASH
Dashing out the door

DoorDash has asked employees to dash elsewhere, joining the ranks of Twitter, Amazon and Meta in mass layoffs this year.

TOTAL
In the bleak midwinter

The chill of crypto winter continues to take its toll on companies in the space, and Kraken’s wrapping up warm to survive.

CRWD
Strike one…

CrowdStrike’s lackluster earnings report has investors wondering how many strikes they have left before they’re out.

See all snaps 

News flow

Keep readingKeep reading

Sparks

Curated watchlists to kickstart your market research.

See all sparks 

Community trends

AMC Entertainment Holdings, IncAMC
GameStop CorporationGME
NICE LtdNICE
Carnival PlcCUK
CNH Industrial N.VCNHI
Vista Energy S.A.B. de C.VVIST
Alcon IncALC
EricssonERIC
Foresight Autonomous Holdings LtdFRSX
Roche Holding LtdRHHBY

Highest volume

Unusual volume

Gainers

Losers

Crypto

Market cap ranking

SymbolMarket capPrice & chg 1D

DeFi by market cap

SymbolMarket capPrice & chg 1D

Community

Trade ideas

Another Inverted Yield Curve with Even More Predictive PowerThe Federal Reserve Chair Jerome Powell spoke again today at a Brookings Institution event. His comments sparked a rally in markets (likely including short covering) that pushed the S&P 500 SP:SPX up about 122 points, or 3.10%, to close at 4080. The Nasdaq 100 NASDAQ:NDX rose 4.58% on the day, closing at 12,030. But the bond market is sending less sanguine signals. The 10Y/3M yield curve inverted further today. Its inversion is currently the deepest since the slightly deeper inversion of this segment of the yield curve in 2000-2001 inversion, which had presaged the 2-year bear market from 2000-2002. The 10Y/3M curve has been researched more than the more widely known 10Y/2Y curve (also known as the 10s/2s). Experts say inversions of the 10Y/3M serve as better predictors of recession than the 10Y/2Y curve. The yield curve has remained inverted for over a month now. This qualifies as a "persistent inversion" that creates a recession signal. But the recession does not always follow immediately. According to Jim Bianco of Bianco Research LLC, "The average lead time" until the recession arises "is 311 days, or about 10 months." What does this offer for traders then? On days when equity markets are rallying like there is no tomorrow, it tells us that markets are not out of the woods despite the buying frenzy. It means that a recession is more probable than not in the next year. But it doesn't tell us much about where prices are headed in the near term (technical analysis of price itself works better for this purpose). Just because a recession will likely begin in the coming weeks or months does not necessitate that equity markets plummet in a straight line to the ideal target. Many, including this author, wishes it could be as straightforward and predictable. So traders should also keep in mind that inverted curves are not a trading signal. They are part of the broader economic and rate-policy context within which equity markets operate. It helps me to know that markets are not likely to resume a long-term uptrend until the recession has ended. The bond market tends to sniff out the problems in the economy long before other markets. And equity markets can ride on hope and desperation for much longer than anyone expects—just as this unexpected bear rally carried SPX price from the October 13, 2022 low all the way back above the 200-day MA today and higher to close at 4080.11. Below is a chart of the 10Y/2Y yield curve, which is also inverted. Supplementary Chart A: To compare the current 10Y/2Y inversion with some historic inversions, consider reading this prior post from July 2022 on the 2s / 10s yield curve inversion, and be sure to hit the refresh button to see the most recent months of data. The Wall Street Journal Confirmed in recent days, by the way, that the 2s / 10s curve Supplementary Chart B: Finally, on a monthly chart, one can easily see that the 2s / 10s curve inversion is the deepest one on record—at least as far back as the chart allows. Hat tip to @SPY_Master for pointing this record-breaking inversion recently. Supplementary Chart C:
Editors' picks
32
Bitcoin can make retest to support level and then start to riseHello my friends, today I want to talk to you about BTCUSDT. I made a few conclusions about Bitcoin. Recently, price bounced of support line and broke old resistance level inside of upward channel. At the moment Bitcoin trades close new support level. I expect that price can make retest to support level. Then, Bitcoin can continue to rise to resistance level $17170 where is located my first target. Next, I think that price continue to move up. For this reason, I set up second target at $17585 level. I expect such a scenario. This is an article not financial advice, always do your own research. If you still have questions, you can write it in the comments below and I will answer them. And please don't forget to support this idea with your like and comment, thanks.
Long
35
RLinda ! GOLD-> Possible pullback before further growth Price overcomes the triangle resistance in the scenario and forms a momentum of almost 1.5%. Gold is out of the range, breaking through the upper boundary of 1765 and testing the higher volume density zone of 1777-1773. Ahead is the 1784 level. from which I expect a pullback The price is heading towards resistance 1784, from which a technical pullback to the previously broken 1765 zone is possible. Since we have an uptrend, I expect growth to continue after the pullback. Targets remain the same. The first target is 1784. The second target is 1807. The third target is 1822. The fourth target is 1858. Sincerely R. Linda!
Long
17
Possibly Gold can make fake breakout and then continue to riseHello to the TradingView community and my followers, please, if you like ideas, don't forget to support them with likes and comments, thank you so much and we'll get started. Today, I want to talk to you about the Gold chart. Not time ago price bounced of resistance line. Now, price trades close to support level. I expect that possibly Gold can make fake breakout to support line and then start rise. Also, I think price can continue to move up and break resistance line. That's why I set up target at $1785 level. I expect this scenario. This is my opinion, I really hope it will be useful for you. Be prepared and save your money. Make big profits!
Long
24
Bitcoin - monthly candle analysis + 7 altcoins This is an outlook on the monthly candles of Bitcoin and the most popular altcoins. Candles are very powerful, especially on the monthly chart. I hope this analysis will help you with your trading decisions! My verdict is that the candles look bearish. There is a higher chance to go down and continue in the downtrend. If you want me to post monthly candlestick analysis every month, hit "like/boost", so I know I should continue! BItcoin (BTC) - Bearish red engulfing candle. The monthly candle closed at the record low. The body is greater than the wick. Ethereum (ETH) - Bearish red engulfing candle. The monthly candle closed below the previous 2 candles. Aslo we made a new low. Looks bad. XRP (XRP) - Bearish red hanging-man candle. The candle on XRP is a little bit bullish, but not in this structure. It looks bad to me. Binance (BNB) - Bearish red spinning top engulfing candle. The monthly candle is a bearish "spinning top." Also, this candle is an engulfing candle. Looks bad. DOGE (DOGE) - Bearish red spinning top candle. This candle is red, and there was no continuationof the previous candle. Not the best. Cardano (ADA) - Very bearish red candle. The worst candle ever, this will go down. The previous reversal candle (hammer) was ignored. Polygon (MATIC) - Green doji/shooting star reversal candle with a long wick. The candle has a huge rejection wick. Not the best for the bulls. Solana (SOL) - Huge bearish red engulfing candle. Solana is freefalling. There are no signs of a trend reversal. 
23
The ECB's strong message, dovish FED, and a high alertYesterday, Bitcoin broke above the 17 000$ price tag in spite of a strong message coming out of the European Central Bank (ECB). The official Twitter account of the ECB tweeted that the price of Bitcoin is artificially held up (at the moment) and that soon it will embark on a journey to irrelevance. This is an unusual statement from the European officials, leaving us only to speculate about the workings behind the veil. Therefore, this message puts us on high alert. The actual message from the official Twitter account of ECB: "The apparent stabilisation of bitcoin’s value is likely to be an artificially induced last gasp before the crypto-asset embarks on a road to irrelevance. #TheECBblog looks at where bitcoin stands amid widespread volatility in the crypto markets." Meanwhile, on the other side of the world, Jerome Powell said during his speech that as soon as in December 2022, the pace of rate hikes might slow down. Despite this being nothing new, the market sought a pivot in Powell’s statements and rose across the board. However, the market discounts the fact that interest rates are here to stay for much longer than initially thought. Additionally, the market participants seem to ignore that rate hikes will continue to increase, putting more pressure on debt servicing and the overall economy. As a result, we expect the bear market to continue to unravel and drag prices of cryptocurrencies and stocks much lower over time. Accordingly, we maintain our price targets at 15 000$ and 13 000$. Illustration 1.01 Illustration 1.01 displays the daily chart of BTCUSD and two simple moving averages in a bearish constellation. The yellow arrow indicates the price retracement above the 20-day SMA, which often coincides with corrections and is bullish for the short term. Now, the 20-day SMA acts as a support level; meanwhile, the 50-day SMA acts as a resistance level. Please feel free to express your ideas and thoughts in the comment section. DISCLAIMER: This analysis is not intended to encourage any buying or selling of any particular securities. Furthermore, it should not be a basis for taking any trade action by an individual investor. Therefore, your own due diligence is highly advised before entering a trade.
Editors' picks
25
EurUsd- Where to buy for HUGE R:R?In my video from two days ago, covering EurUsd, I said that dips around 1.03 should be bought, for a new test of resistance. Indeed, after a short-lived spike in that zone, the pair reversed to the upside and tested resistance again. Although at this moment it seems like the pair is in correction, the structure remains bullish and, as you can see from the posted chart, an ascending triangle seems to be forming. The ascending trend-line for this triangle lies around 1.0350 and here we should look for buying opportunities. Considering a stop loss under the recent spike low, such a trade can have more than 1:5 R: R
Long
10

See all popular ideas 

Pine scripts

Smart Money Concepts [LUX]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
260
Market sessions and Volume profile - By LeviathanThis script allows you to keep track of Forex market sessions (Tokyo, London and New York), as well as Daily, Weekly and Monthly sessions. All of them are accompanied by Volume Profile options where you can view VP Histogram, Point of Control, Value Area High and Value Area Low. Colors, lines and other design preferences are fully customizable. * Volume Profile of shorter sessions (eg. Tokyo, London, New York) works better when using lower timeframes such as 15min, 5min, etc. ** Use timeframe higher than 15min when viewing Monthly sessions Indicator settings overview: SESSION TYPE - Tokyo session (1:00 - 9:00 UTC/ GMT ) - London session (7:00 - 16:00 UTC/ GMT ) - New York session (13:00 - 22:00 UTC/ GMT ) - Daily session - Weekly session - Monthly session DISPLAY - Show Volume Profile (Show or hide Volume Profile histogram) - Show POC (Show or hide Point Of Control line) - Show VAL (Show or hide Value Area Low line) - Show VAH (Show or hide Value Area High line) - Show Live Zone (Show or hide the ongoing session) VOLUME PROFILE SETTINGS - Resolution (The higher the value, the more refined of a profile, but less profiles are shown on the chart) - Smooth Volume Data (Useful for assets that have very large spikes in volume over large bars, helps create better profiles) APPEARANCE - Up Volume color (Pick a custom color for up/ bullish volume profile nodes) - Down Volume color (Pick a custom color for down/ bearish volume profile nodes) - POC color and thickness (Pick a custom color and thickness for Point Of Control line) - VAH color and thickness (Pick a custom color and thickness for Value Area High line) - VAL color and thickness (Pick a custom color and thickness for Value Area Low line) - Session box thickness (Pick a custom thickness for the session box. Color is provided automatically with optimal contrast) ** Some VP elements are inspired by @LonesomeTheBlue's volume profile script
Editors' picks
Pine Script™ indicator
40
Volume Profile Volume Delta OI Delta [Kioseff Trading]Hello! This script serves to distinguish volume delta for any asset and open interest delta for Binance perpetual futures. The image above provides further explanation of functionality and color correspondence. The image above shows the indicator calculating volume at each tick level and displaying the metric. The label color outline (neon effect) is configurable; the image above is absent the feature. The image above shows Open Interest (OI) Delta calculated - similar to how the script calculates volume delta - for a Binance Perpetual Future pair. This feature only works for Binance Futures pairs; the script will not load when trying to calculate OI Delta on other assets. Additionally, a heatmap is displayable should you configure the indicator to calculate it. The image above shows a heatmap using volume delta calculations. The image above shows a heatmap using OI delta calculations. Of course, these calculations - when absent requisite data - require some assumptions to better replicate calculations with access to requisite data. The indicator assumes a 60/40 split when a tick level is traded at and only one metric - "buy volume" or "sell volume" is recorded. This means there shouldn't be any levels recorded where "buy volume" is greater than 0 and "sell volume" equals 0 and vice versa. While this assumption was performed arbitrarily, it may help better replicate volume delta and OI delta calculations seen on other charting platforms. This option is configurable; you can select to have the script not assume a 60/40 split and instead record volume "as is" at the corresponding tick level. The script also divides volume and open interest if a one-minute bar violates multiple tick levels. The volume or open interest generated on the one-minute bar will be divided by the number of tick levels it exceeds. The results are, subsequently, appended to the violated tick levels. Further, the script can be set to recalculate after a user-defined time threshold is exceeded. You can also define the percentage or tick distance between levels. Also, it'd be great if this indicator can nicely replicate volume delta indicators on other charting platforms. If you've any ideas on how price action can be used to better assume volume at the corresponding price area please let me know! Thank you (:
Editors' picks
Pine Script™ indicator
49
Next Pivot Projection [Trendoscope]Still experimental. Extending further on the divergence backtest results - in this script we try to project next 2 pivots (including one unconfirmed pivot) 🎲 Previous experiments 1. Divergence-Backtester 2. Divergence-Backtester-V2 🎲 Additions Apart from collecting the stats on number of occurrences of HH, HL, LH, LL - this script also keeps track of average ratio for each levels and average bars. Based on these data, we try to calculate the next pivot projections including possible bar and price. Cloud covering the candles indicate historical levels of average HH, HL, LH, LL projections. Hover on projection labels to find more details in tooltips. 🎲 Overall method in a nutshell 🎲 Going bit deeper 🎯 Unconfirmed Pivot and its projection - Last pivot of the zigzag is always unconfirmed. Meaning, it can potentially repaint based on further price movements. But, projection of the unconfirmed pivot will not change as it will be based on previous two pivots - both of which are confirmed. 🎯 Next Pivot Projection - Next pivot is projected based on last two pivots - which include last unconfirmed pivot. Hence, these projections can potentially repaint based on the last pivot repaint. 🎯 Historical projections displayed as cloud - Historical projection values are displayed as cloud around pivots. A cloud above represents area from average lower high range to average higher high range. Cloud color is green if average ratio of pivot high is more than 1. Red Otherwise. A cloud below represents area from average higher low range to average lower low range. Cloud color is red if average ratio of pivot high is more than 1. Green otherwise
Editors' picks
Pine Script™ indicator
57
Intrabar Efficiency Ratio█   OVERVIEW This indicator displays a directional variant of Perry​ Kaufman's​ Efficiency​ Ratio​, designed to gauge the "efficiency" of intrabar price movement by comparing the sum of movements of the lower timeframe bars composing a chart bar with the respective bar's movement on an average basis. █   CONCEPTS Efficiency Ratio (ER) Efficiency Ratio ​ was first introduced by Perry Kaufman in his 1995 book, titled "Smarter Trading". It is the ratio of absolute price change to the sum of absolute changes on each bar over a period. This tells us how strong the period's trend is relative to the underlying noise. Simply put, it's a measure of price movement efficiency. This ratio is the modulator utilized in Kaufman's​ Adaptive​ Moving​ Average​ (KAMA​), which is essentially an Exponential​ Moving​ Average​ (EMA​) that adapts its responsiveness to movement efficiency. ER's output is bounded between 0 and 1. A value of 0 indicates that the starting price equals the ending price for the period, which suggests that price movement was maximally inefficient. A value of 1 indicates that price had travelled no more than the distance between the starting price and the ending price for the period, which suggests that price movement was maximally efficient. A value between 0 and 1 indicates that price had travelled a distance greater than the distance between the starting price and the ending price for the period. In other words, some degree of noise was present which resulted in reduced efficiency over the period. As an example, let's say that the price of an asset had moved from $15 to $14 by the end of a period, but the sum of absolute changes for each bar of data was $4. ER would be calculated like so: ER = abs(14 - 15)/4 = 0.25 This suggests that the trend was only 25% efficient over the period, as the total distanced travelled by price was four times what was required to achieve the change over the period. 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 intrabars at the ​LTF 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 determines which ​LTF to use by examining the chart's timeframe. The ​LTF determines how many intrabars are examined for each chart bar; the lower the timeframe, the more intrabars are analyzed, but fewer chart bars can display indicator information because there is a limit to the total number of intrabars that can be analyzed. Intrabar precision The precision of calculations increases with the number of intrabars analyzed for each chart bar. As there is a 100K limit to the number of intrabars that can be analyzed by a script, a trade-off occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible. Intrabar Efficiency Ratio (IER) Intrabar Efficiency Ratio applies the concept of ER on an intrabar level. Rather than comparing the overall change to the sum of bar changes for the current chart's timeframe over a period, IER compares single bar changes for the current chart's timeframe to the sum of absolute intrabar changes, then applies smoothing to the result. This gives an indication of how efficient changes are on the current chart's timeframe for each bar of data relative to LTF​ bar changes on an average basis. Unlike the standard ER calculation, we've opted to preserve directional information by not taking the absolute value of overall change, thus allowing it to be utilized as a momentum oscillator. However, by taking the absolute value of this oscillator, it could potentially serve as a replacement for ER in the design of adaptive moving averages. Since this indicator preserves directional information, IER can be regarded as similar to the Chande​ Momentum​ Oscillator​ (CMO​) , which was presented in 1994 by Tushar​ Chande​ in "The New Technical Trader". Both CMO​ and ER​ essentially measure the same relationship between trend and noise. CMO simply differs in scale, and considers the direction of overall changes. █   FEATURES Display Three different display types are included within the script:  • Line : Displays the middle length MA of the IER as a line .   Color for this display can be customized via the "Line" portion of the "Visuals" section in the script settings.  • Candles : Displays the non-smooth IER and two moving averages of different lengths as candles .   The `open` and `close` of the candle are the longest and shortest length MAs of the IER respectively.   The `high` and `low` of the candle are the max and min of the IER, longest length MA of the IER, and shortest length MA of the IER respectively.   Colors for this display can be customized via the "Candles" portion of the "Visuals" section in the script settings.  • Circles : Displays three MAs of the IER as circles .   The color of each plot depends on the percent rank of the respective MA over the previous 100 bars.   Different colors are triggered when ranks are below 10%, between 10% and 50%, between 50% and 90%, and above 90%.   Colors for this display can be customized via the "Circles" portion of the "Visuals" section in the script settings. With either display type, an optional information box can be displayed. This box shows the LTF​ that the script is using, the average number of lower timeframe bars per chart bar, and the number of chart bars that contain LTF​ data. 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. Specifying MA type Seven MA types are included in the script for different averaging effects:  • Simple  • Exponential  • Wilder (RMA)  • Weighted  • Volume-Weighted  • Arnaud Legoux with `offset` and `sigma` set to 0.85 and 6 respectively.  • Hull Weighting This script includes the option to weight IER values based on the percent rank of absolute price changes on the current chart's timeframe over a specified period, which can be enabled by checking the "Weigh using relative close changes" option in the script settings. This places reduced emphasis on IER values from smaller changes, which may help to reduce noise in the output. █   FOR Pine Script™ CODERS  • This script imports the recently published lower_ltf library for calculating intrabar statistics and the optimal lower timeframe in relation to the current chart's timeframe.  • This script uses the recently released request.security_lower_tf() Pine Script™ function discussed in this blog post .   It works differently from the usual request.security() in that it can only be used on LTFs, and it returns an array containing one value per intrabar.   This makes it much easier for programmers to access intrabar information.  • This script implements a new recommended best practice for tables which works faster and reduces memory consumption.   Using this new method, tables are declared only once with var , as usual. Then, on the first bar only, we use table.cell() to populate the table.   Finally, table.set_*() functions are used to update attributes of table cells on the last bar of the dataset.   This greatly reduces the resources required to render tables. Look first. Then leap.
Pine Script™ indicator
4
WaveTrend 3D█  OVERVIEW WaveTrend 3D (WT3D) is a novel implementation of the famous WaveTrend (WT) indicator and has been completely redesigned from the ground up to address some of the inherent shortcomings associated with the traditional WT algorithm. █  BACKGROUND The WaveTrend (WT) indicator has become a widely popular tool for traders in recent years. WT was first ported to PineScript in 2014 by the user @LazyBear, and since then, it has ascended to become one of the Top 5 most popular scripts on TradingView. The WT algorithm appears to have origins in a lesser-known proprietary algorithm called Trading Channel Index (TCI), created by AIQ Systems in 1986 as an integral part of their commercial software suite, TradingExpert Pro. The software’s reference manual states that “TCI identifies changes in price direction” and is “an adaptation of Donald R. Lambert’s Commodity Channel Index (CCI)”, which was introduced to the world six years earlier in 1980. Interestingly, a vestige of this early beginning can still be seen in the source code of LazyBear’s script, where the final EMA calculation is stored in an intermediate variable called “tci” in the code. █  IMPLEMENTATION DETAILS WaveTrend 3D is an alternative implementation of WaveTrend that directly addresses some of the known shortcomings of the indicator, including its unbounded extremes, susceptibility to whipsaw, and lack of insight into other timeframes. In the canonical WT approach, an exponential moving average (EMA) for a given lookback window is used to assess the variability between price and two other EMAs relative to a second lookback window. Since the difference between the average price and its associated EMA is essentially unbounded, an arbitrary scaling factor of 0.015 is typically applied as a crude form of rescaling but still fails to capture 20-30% of values between the range of -100 to 100. Additionally, the trigger signal for the final EMA (i.e., TCI) crossover-based oscillator is a four-bar simple moving average (SMA), which further contributes to the net lag accumulated by the consecutive EMA calculations in the previous steps. The core idea behind WT3D is to replace the EMA-based crossover system with modern Digital Signal Processing techniques. By assuming that price action adheres approximately to a Gaussian distribution, it is possible to sidestep the scaling nightmare associated with unbounded price differentials of the original WaveTrend method by focusing instead on the alteration of the underlying Probability Distribution Function (PDF) of the input series. Furthermore, using a signal processing filter such as a Butterworth Filter, we can eliminate the need for consecutive exponential moving averages along with the associated lag they bring. Ideally, it is convenient to have the resulting probability distribution oscillate between the values of -1 and 1, with the zero line serving as a median. With this objective in mind, it is possible to borrow a common technique from the field of Machine Learning that uses a sigmoid-like activation function to transform our data set of interest. One such function is the hyperbolic tangent function (tanh), which is often used as an activation function in the hidden layers of neural networks due to its unique property of ensuring the values stay between -1 and 1. By taking the first-order derivative of our input series and normalizing it using the quadratic mean, the tanh function performs a high-quality redistribution of the input signal into the desired range of -1 to 1. Finally, using a dual-pole filter such as the Butterworth Filter popularized by John Ehlers, excessive market noise can be filtered out, leaving behind a crisp moving average with minimal lag. Furthermore, WT3D expands upon the original functionality of WT by providing: First-class support for multi-timeframe (MTF) analysis Kernel-based regression for trend reversal confirmation Various options for signal smoothing and transformation A unique mode for visualizing an input series as a symmetrical, three-dimensional waveform useful for pattern identification and cycle-related analysis █  SETTINGS This is a summary of the settings used in the script listed in roughly the order in which they appear. By default, all default colors are from Google's TensorFlow framework and are considered to be colorblind safe. Source: The input series. Usually, it is the close or average price, but it can be any series. Use Mirror: Whether to display a mirror image of the source series; for visualizing the series as a 3D waveform similar to a soundwave. Use EMA: Whether to use an exponential moving average of the input series. EMA Length: The length of the exponential moving average. Use COG: Whether to use the center of gravity of the input series. COG Length: The length of the center of gravity. Speed to Emphasize: The target speed to emphasize. Width: The width of the emphasized line. Display Kernel Moving Average: Whether to display the kernel moving average of the signal. Like PCA, an unsupervised Machine Learning technique whereby neighboring vectors are projected onto the Principal Component. Display Kernel Signal: Whether to display the kernel estimator for the emphasized line. Like the Kernel MA, it can show underlying shifts in bias within a more significant trend by the colors reflected on the ribbon itself. Show Oscillator Lines: Whether to show the oscillator lines. Offset: The offset of the emphasized oscillator plots. Fast Length: The length scale factor for the fast oscillator. Fast Smoothing: The smoothing scale factor for the fast oscillator. Normal Length: The length scale factor for the normal oscillator. Normal Smoothing: The smoothing scale factor for the normal frequency. Slow Length: The length scale factor for the slow oscillator. Slow Smoothing: The smoothing scale factor for the slow frequency. Divergence Threshold: The number of bars for the divergence to be considered significant. Trigger Wave Percent Size: How big the current wave should be relative to the previous wave. Background Area Transparency Factor: Transparency factor for the background area. Foreground Area Transparency Factor: Transparency factor for the foreground area. Background Line Transparency Factor: Transparency factor for the background line. Foreground Line Transparency Factor: Transparency factor for the foreground line. Custom Transparency: Transparency of the custom colors. Total Gradient Steps: The maximum amount of steps supported for a gradient calculation is 256. Fast Bullish Color: The color of the fast bullish line. Normal Bullish Color: The color of the normal bullish line. Slow Bullish Color: The color of the slow bullish line. Fast Bearish Color: The color of the fast bearish line. Normal Bearish Color: The color of the normal bearish line. Slow Bearish Color: The color of the slow bearish line. Bullish Divergence Signals: The color of the bullish divergence signals. Bearish Divergence Signals: The color of the bearish divergence signals. █  ACKNOWLEDGEMENTS @LazyBear - For authoring the original WaveTrend port on TradingView @PineCoders - For the beautiful color gradient framework used in this indicator @veryfid - For the inspiration of using mirrored signals for cycle analysis and using multiple lookback windows as proxies for other timeframes
Editors' picks
Pine Script™ indicator
54
Time & volume point of control (TPOC & VPOC)What are TPOC & VPOC? TPOC (time point of control) and VPOC (volume point of control) are points in price where highest amount of time/volume was traded. This is considered key information in a market profile, as it shows where market participant interest was highest. Unlike full fledged market profile that shows total time/volume distribution, this script shows the points of control for each candle, plotted with a line (time) and a dot (volume). The script hides your candles/bars by default and forms a line in the middle representing candle range. In case of candles, borders will still be visible. This feature can be turned off in the settings. Volume and time data are fetched from a lower timeframe that is automatically adjusted to fit the timeframe you're using. By default, the following settings are applied: Charts <= 30 min: 1 minute timeframe Charts > 30 min & <= 3 hours : 5 minute timeframe Charts > 3 hours & <= 8 hours : 15 minute timeframe Charts > 8 hours & <= 1D: 1 hour timeframe Charts > 1D & <= 3D : 2 hour timeframe Charts > 3D: 4 hour timeframe Timeframe settings can be changed via input menu. The lower the timeframe, the more precision you get but with the cost of less historical data and slower loading time. Users can also choose which source to use for determining price for points of control, e.g. using close as source, the point of control is set to match the value of lower timeframe candle close. This could be replaced with OHLC4 for example, resulting in a point of control based on OHLC average. To identify more profound points of market participant interest, TPOC & VPOC as percentage of total time/volume thresholds can be set via input menu. When a point of control is equal to or greater than the set percentage threshold, visual elements will be highlighted in a different color, e.g. 50% VPOC threshold will activate a highlight whenever volume traded at VPOC is equal to or greater than 50% of total volume. All colors are customizable. VPOC is defined by fetching lower timeframe candle with the most amount of volume traded and using its close (by default) as a mark for point of control. For TPOC, each candle is divided into 10 lots which are used for calculating amount of closes taking place within the bracket values. The lot with highest amount of closes will be considered a point of control. This mark is displayed in the middle point of a lot: How to utilize TPOC & VPOC Example #1: Trapped market participants One or both points of control at one end of candle range (wick tail) and candle close at the other end serves as an indication of market participants trapped in an awkward position. When price runs away further from these trapped participants, they are eventually forced to cover and drive price even further to the opposite direction: Example #2: Trend initiation A large move that leaves TPOC behind while VPOC is supportive serves as an indication of a trend initiation. Essentially, this is one way to identify an event where price traded sideways most of the time and suddenly moved away with volume: Example #3: POC supported trend A trend is healthy when it's supported by a point of control. Ideally you want to see either time or volume supporting a trend:
Editors' picks
Pine Script™ indicator
23
Equity Bond Currency DashboardDepicts demand-flow between Equities, Bonds and Currencies of 6 countries. Useful in tracking the flow of smart money and checking the dynamics of inter-connected markets. Principle: DXY lies at the heart of the diagram with usd-currency pairs of 5 countries connected to it. When demand for a currency increases it strengthens against Dollar. This is depicted by a line from DXY to the currency indicating demand flow from Dollar to the currency (DXY is only an indicative symbol for Dollar, the currency may not be part of the dollar index). Similarly when Dollar strengthens against the currency, demand flow is depicted by a line from the currency to DXY. Currency blocks are connected to Equity and Bond Yields of the respective countries. Equities and Bonds, when bought, takes the demand from the respective currencies and vice versa. Overall, the demand flows in the direction of arrows. The flow is incomplete without commodities, import/export, interest/inflation rates of countries, however, the diagram most of the times explains why an asset class is performing the way it is. Left side bar of each block is very similar to OHLC candles except for the following - Instead of wicks, top and bottom of the bar represents high and low for the selected time-frame Open and close are normalised for high and low Bar border is red if close < prev.close, green if close >= prev.close Other notes: The diagram requires at least 200 bars in the chart to render. Please select the symbol and time-frame that contain at least 200 bars. The diagram requires a live market to render the flow. To check flows on historical bars, set the option from settings. Desired indices could be selected for countries of choice. Default settings point to futures wherever possible to have the markets live simultaneously across the countries.
Editors' picks
Pine Script™ indicator
10
Minervini QualifierThe Minervini Qualifier indicator calculates the qualifying conditions from Mark Minervini’s book “Trade like a Stock Market Wizard”. The condition matching is been shown as fill color inside an SMA 20day envelope curve. If the envelope color is red, current close price is below the SMA20 and when blue, current close price is above the SMA20. The fill color can be transparent (not matching qualifying conditions), yellow (matching all conditions except close is still below SMA50), green (all conditions match, SMA200 trending for at least one month up) or blue (all conditions match, SMA200 trending up for at least 5 months) As I wanted also to see which of the qualifying conditions match over time, I’ve added add. lines, each representing one conditions. If it matches, line color is blue, or red if not. Use the data windows (right side), so you know what line represents which condition. Can be turned on/off (default:on) In addition, a relative strength is been calculated, to compare the stock to a reference index. It is just one possible way to calculate it, might be different to what Mark Minervini is using. If the shown value (top right) is above 100, stock performs better compared to reference index (can be set in settings), when below 100, stock performs worse compared to reference index. Can be turned on/off (default:on) How to use it: For more details, read Mark’s book and watch his videos. Limitations: It gives only useful information on daily timeframe (No financial advise, for testing purposes only)
Editors' picks
Pine Script™ indicator
11
Bitcoin Miner Sell PressureBitcoin miners are in pain and now (November 2022) selling more than they have in almost 5 years! Introducing: Bitcoin Miner Sell Pressure. A free, open-source indicator which tracks on-chain data to highlight when Bitcoin miners are selling more of their reserves than usual. The indicator tracks the ratio of on-chain miner Bitcoin outflows to miner Bitcoin reserves. - Higher = more selling than usual - Lower = less selling than usual - Red = extraordinary sell pressure Today , it's red. What can we see now ? Miners are not great at treasury management. They tend to sell most when they are losing money (like today). But there have been times when they sold well into high profit, such as into the 2017 $20K top and in early 2021 when Bitcoin breached $40K. Bitcoin Miner Sell Pressure identifies industry stress, excess and miner capitulation. Unsurprisingly, there is a high correlation with Bitcoin Production Cost; giving strong confluence to both. In some instances, BMSP spots capitulation before Hash Ribbons. Such as today!
Pine Script™ indicator
6

See all popular scripts 

Educational ideas

🟢STOP AND LIMIT ORDERS EXPLAINED🟢 ✴️Types of orders in trading There are two main types of order: entry orders and closing orders. An entry order is an instruction to open a trade when the underlying market hits a specific level, while a closing order is an instruction to close a trade when the market hits a specific level. ✴️Stops vs limits A stop order is an instruction to trade when the price of a market hits a specific level that is less favourable than the current price. On the other hand, a limit order is an instruction to trade if the market price reaches a specified level more favourable than the current price. ✴️Stop orders explained You can use stop orders to close positions and to open them, by using either a stop-loss order or a stop-entry order. ✴️Stop-loss orders A stop-loss order is the common term for a stop closing order – an instruction to close your position when the market value becomes less favourable than the current price. ✴️Stop-entry orders A stop-entry order enables you to open a position when the market reaches a value that is less favourable than the current price. If you were opening a long position, you’d place your stop-entry order above the current market price. And if you were opening a short position, you’d place your stop-entry order below the current price. Although it may seem strange to open a trade at a worse price, stop-entry orders can enable you to enter a trade once a trend has been confirmed. This helps you take advantage of market momentum. ✴️Limit orders explained Like stop orders, limit orders can be used to open and close trades. ✴️Limit-entry orders A limit-entry order enables you to enter a trade when the market hits a more favourable price than the current price. For long positions, this would be below the current price level and for short positions this would be above. ✴️Limit-close orders A limit-close order enables you to close a trade at a more favourable price – which would be at a higher level for a long position and a lower level for a short position. The major drawback of a limit order is that there is the possibility it will not be filled if the market never reaches your order level – in this case the order would expire. If you had placed a limit-entry order, it is possible that your trade would never be executed. And if you had placed a limit-close order, your trade would not be closed automatically. 😊Thank you for reading, guys😊 ✅Like and Subscribe for more education✅ Do you like this post? Do you want more articles like that?
Editors' picks
Education
5
Is Trading Like Playing Poker? Is trading a form of gambling? With hesitance, I would say yes. However, I would rather call trading a form of strategic gambling as both require elements of risk, reward, strategy and decision making. In the next two weeks or so, I’m planning to publish a new online FREE book called “Poker Vs Trading”. Who knows, by the end of it all you may take up professional poker playing as well as trading… Let’s start with the similarities. SIMILARITY #1: We can choose when to play (Strategy) Traders and poker players don’t play every hand that is dealt to them. With poker, when a hand is dealt, we can choose to either play the hand, based on how strong it is, or we can choose to fold and wait for the next hand… With trading, we wait for a trading setup based on the criteria of our strategy i.e. MATI Trader System. You’ll then have the exact criteria and money management rules to follow in order to take a trade or wait for the next trade. SIMILARITY #2: Amateur poker players and traders tend to go the ‘tilt’ (Emotional roller-coaster) Emotions are a main driver which leads to traders losing their cash in their account or poker players losing their chips very quickly. With poker, you get players who let their emotions take over where they start betting high with an irrational frame of mind. These emotions lead them to losing their chips very quickly. This is when they enter the state of what is called ‘going the tilt’. With trading, amateur traders also tend to act on impulse and play on gut, instinct, fear and greed after they’ve undergone a losing streak or a winning streak. This often leads them to: ~ Taking a series of losses. ~ Losing huge portions of their portfolio. ~ Holding onto losing trades longer than they should. ~ Entering a mindset of revenge trading. SIMILARITY #3: We know when to hold ‘em and when to fold ‘em (Cut losses quick) We have the choice to reduce our losses when it comes to betting a hand or taking a trade. With poker, if the players start upping the stakes and you believe you have a weaker hand in the round, you can choose to ‘fold’ and lose only the cost of playing the ‘ante’. With trading, if you’ve taken a trade and it turns against you, you have a stop loss which will get you out at the amount of money you were willing to risk of your portfolio… SIMILARITY #4: We know the rake (Costs involved) There are always costs associated with each trade we take or each hand we play, which eats into our winnings. With poker, it’s the portion of the pot that is taken by the house i.e. the blinds and the antes. With trading, it’s the fees charged by your broker or market maker, in order to take your trade. These fees can be either the tax, spread and/or the brokerage. SIMILARITY #5: Aggressive trading and betting before the flop (High volatility) There will always be a time of strong market moves and high betting. With poker, you get times where players like to bet aggressively and blindly before the flop is revealed. It’s these times that lead to the amateur poker players losing their chips very quickly. With trading, you get economic data i.e. Non-Farm-Payrolls, black swan events and Interest Rate decisions when big investors and traders like to drive the market up or down before the news even comes out. NOTE: I ignore both forms of hype as it is can lead to a catastrophic situation. SIMILARITY #6: We bet and trade based on the unknown Every bet and trade we take and play is based on incomplete information of the future. With poker, we are dealt hands then bet on decisions based on not knowing what cards our opponents have and/or what is shown on the river. We then have the options to call, bet, raise or fold during the process.With trading, we take trades based on probability predictions without knowing where the price will end up at. This is due to new information which comes into the market including (demand, supply, news, economic indicators, micro and macro aspects). SIMILARITY #7: We lose A LOT! (Losses are inevitable) Taking small losses are part of the game with both poker and trading. With poker, it is important to wait patiently until you have a hand with a high probability of success. Some of the best poker players in the world, fold 90% of the starting hands, they receive. Some professional poker players can go through weeks and months without a win. With trading, we can lose over 40% to 50% of the time. In general, I expect around two losing quarters a year. I know that when there are better market conditions, it will make up for the small losses. SIMILARITY #8: You must learn to earn (Education is vital) You need to understand and gain as much knowledge as you can about poker and trading before you commit any money. With poker, you need to understand: • The rules of the game. • The risk per move. • The amount of money you should play per hand. Once you know these points, you’ll be able to develop some kind of game plan with each hand you play. With trading, you need to understand: • The MARKET (What, why, where are how?)NB* • The METHOD (What system to follow before taking a trade). • The MONEY (Risk management rules to follow with each trade) • The MIND (The frame of mind you must develop to succeed) SIMILARITY #9: Perseverance is the key ingredient to success You need to take the time and have the determination to become a successful trader and poker player. With poker, you’ll need to keep at it and apply strict money management rules with each hand played. With trading, you’ll need to know your trading personality, know which trading method best works you and understand your risk profile… I’ll leave you with a quote from Vince Lombardi (American football player, coach, and executive): “Practice does not make perfect. Only perfect practice makes perfect” Do you think trading is like poker? If you enjoyed this daily lesson follow fore more! Trade well, live free. Timon MATI Trader
Editors' picks
Education
22
Smart Money vs Retail traders (How to Think Like Smart Money)😱 There were a few people there talking about their losses, that they had no idea what to do and I wrote this to them: It's mostly the fault of mainstream media + youtubers + twitterers etc. It's really easy to communicate the simplest approach that everyone understands and subscribes too. Note that if everyone is on the same side... Usually most people are wrong. They take past events too much at face value. But the market is constantly changing. Its to buy on the upside and not during pullbacks + HODL HODL HODL. With that said they really have no idea where they should get out and get in. That's fine by the way. News can be picked up by any of us from the news portals. They don't inform anyone about the negative side of things. It's a tough place to be and you can't take it half as seriously as it is communicated. Unless you are an investor (REAL) you are looking at the market long term. A multi-year perspective. Of course it doesn't pay off here either. The crypto market is still pretty damn small. No one is too late. Now most of you are losing time, but everyone has to start somewhere. I was in the same situation in 2017. I was drowning. Now I'm still looking at these corrections from + xxxxx% profit. Unfortunately we have to give ourselves time in the market and endure pullbacks of -20-30-40-50-60% to see 3000% profits. Realizing upwards during the upswing is not a bad thing. For me, a huge part of my strategy is to have a lot of money on the sidelines. That's why. Especially on 4H trend changes I sell everything that is not bullish. Then I sell others too if they break the trend and just trade. 💡 We are in the best market in the world, but psychologically the hardest market. If you learn to manage these things and use volatility to your advantage rather than your disadvantage, then it's a game changer. 💡 Institutions (fund managers, pension funds, banks and whales) think in long term horizons and monitor price action based on that (Years, Decades) Small investors, retail traders monitor things in low time frames (Minutes, hours, days). Small investors quickly switch between optimism and pessimism based on current price movements and news in the media. It can be a bull market one day and a bear market for a small investor the next. Institutional investors are not sentimental, they assess the growth rate of the market sector, the total market size available, the adoptation/acceptance, the growth of the network, the analysis of revenues (to predict profitability years and decades in advance). If an institutional investor draws a conclusion, they hold it until the underlying financial situation changes. Small investors usually have limited money to invest, so they often resort to leveraging, which typically results in full liquidation. Leveraged trades have "unlimited" potential losses, and therefore small investors (who do not like to buy spot because it is not "cool") can easily "drop out" of trading because of the "unlimited" losses from leverage. Think about it... as a retailer, you have your precious and hard-earned money on the line. Do you have time to lose what you've worked hard to earn, or even more? Why can't you accept that this is a profession? We study in university for 3-10 years to get an average salary afterwards. But here we are not willing to spend a couple of years without constantly taking time away from yourself with losses? Levrage are not bad. The user is the dangerous one. 😱 There is a reason why 90% of retail traders lose money. 💡Institutionalists brazenly exploit those with few resources and fear. Institutional investors have access to billions of dollars worth of resources and have teams of quantitative/statistical experts who control the automated trading algorithms. Institutional investors have deep pockets and can influence the general sentiment of the market through the press (news, social media and interviews). Institutional investors influence the news that small investors read. Institutionalists are well known for advertising higher prices to retailers to "buy at the top", This is the FOMO factor (Fear of Missing Out). They are also notorious for creating tremendous market fear (FUD - Fear Uncertainty and Doubt), which encourages retailers to "sell at the bottom". 💡 Institutions are also actively involved in futures, options and derivatives markets. They all actively benefit from short-term price cycles as well as longer-term accumulation strategies. The institutions are sophisticated, financially strong and have expertise. Institutions make money by attracting small investors into the market (via FOMO) and then liquidating their positions (via FUD). In the market, one person's loss is another person's gain. 💡 There is a learning curve that 90% of your people want to skip and get rich overnight. Unfortunately, this is not reality. Knowledge is incredibly important. If you want to be a doctor, or a surgeon, you don't just walk into the operating room and say give me a knife and I'll cut this guy open and operate him without any knowledge. You really have to know what you're doing. If you're an engineer or you want to be an engineer, without training or knowledge, it would be very difficult for you to build a bridge or a skyscraper. You need the knowledge. If you want to be a teacher, but you don't know the subject matter, it would be very difficult to teach students in a meaningful way if you don't even know what you are teaching. So it is essential to acquire knowledge, but that knowledge has to come from the right people. So mentoring is also vital. Everyone must also understand the psychological aspects of investing and trading. Because a lot of people lose money in the financial markets. Not because they are stupid, but because their emotions get the better of them. Focusing on learning is incredibly important, it changes your life. Of course, this doesn't just apply to investing and trading. It applies to everything, which is why the financial markets are so incredible in their ability to create meaning in life, if people are open to it, and if they don't focus too much on money, then money will simply be the result of doing things the right way. Over time, if you do things the right way, you will become rich, you don't have to become a millionaire overnight. If you want to do that, you will probably lose all the money you put into the hands of institutions that want your money, want you to be captivated by a fantasy world. The reality is that you need the knowledge to fight the big players and win. 💡Self-control is also a must. All wealth will pass without self-control. Self-control makes you keep the money you earn. There are many examples of this among people who have won huge amounts of money without earning it. For example, people who win lottery. These people basically give back all the money they made because they didn't really earn it. A lot of times, the money they didn't earn is put back. When you earn money with self-control, you never have to give it back! It is yours and will continue to grow. 💡 The key is to get off your ass and get moving. Remember these things and you'll be fine.
Education
5
Why You Shouldn't Feel "FOMO" AnymoreHello to you my dear TradingView readers, All the below are based on my preferences, I don't give any financial recommendations and I have nothing to sell you with this article. I'm sharing content because I see a lot of traders being/becoming broke and I don't want you to be one of them. One reason I don't have fear of missing out is that after 11 years of trading, I've learned that almost no one in this game keeps the money they've made. A person's 10 minutes of fame does not excite me. Usually, I'm right in thinking that they'll end with nothing. 👇 Here is Why 👇 My uncle made a fortune trading stocks during the dot-com boom, so I got into it. He came up empty-handed. With cryptocurrencies, I've seen young men turn $1,000 into over $100,000 in a matter of weeks. They've since lost everything and are now penniless and in debt. Robert, one of the greatest legends to me in my trading journey, was once up $60 million from trading. He finished with nothing more than a good story. I've seen it time and time again. I'm no longer surprised by the rollercoaster of huge gains and losses. It is my standard assumption. I don't want anyone to suffer financial hardship. Even those who appear to be clueless and act like fools. The market gives and the market takes away. It is extremely effective in this regard. So let me say this: if you've made 100,000% in trading, I sincerely wish you the best. But if you want congratulations, tell me when you’re retired. The skills to make money are very different than the skills needed to keep that money. The latter were more difficult for me to acquire... If you want me to expand more on that topic, please let me know in the comments section. I'll keep bringing a few articles like this every week because it helps me clarifying my thoughts AND giving back to the community makes me feel good about myself somehow :) I intend to share all facets of what makes a fantastic profitable trader and how to attain that status. This is both the most difficult and the most rewarding job. Thank you for reading Dave
Education
6
STOCK MARKET AND FOREX CORRELATIONStocks and indices are often used for predicting the currency market. No wonder, in this world of trading, everything is interconnected in one way or another. There's a connection between stocks and currencies. Say, if you want to buy shares of a Japanese company on the Tokyo Stock Exchange, you can only do it in the local currency. As a result, your currency will have to be converted into yen (JPY), which naturally leads to an increased demand for it. The more stocks you buy on the Tokyo Stock Exchange, the more demand for the yen. Conversely, the more the currency is sold, for whatever purpose, the lower its value. When a country's stock market seems attractive, they start flooding it with money. Conversely, if a country's stock market is in shambles, investors run from it headlong, looking for more attractive places to invest. If one country's stock market performs better than another, capital will flow from one country to the other. This will have an immediate effect on their currencies. Where the money is, the currency is stronger, where the stock market is weak, the national currency weakens. A strong stock market causes a strong currency. A weak stock market - a weak currency. Key global indices Let's take a look at the key world indices that interest us. As you will notice, many of them correlate and complement each other. Dow Jones Index The oldest and the most famous index in the world. There are actually several of them, but the most popular one is called the Dow Jones Industrial Average (DJIA). It is the key U.S. stock index, which unites 30 companies with publicly available shares. By the way, despite the name, these companies are not particularly connected with the industry, because it is not in favor now. There are simply 30 of the largest companies in America. This index is closely watched by investors around the world. It is a great indicator of the entire state of the U.S. economy, reacting to local and foreign economic and political events. The index tracks incredibly wealthy companies, you've heard of most of them. McDonald's, Intel, Apple are all in there. S&P 500 Index The Standard & Poor 500 Index, also known as the S&P 500, is one of the best-known indices on the planet. It is a weighted average price index of the 500 largest U.S. companies. In fact, it is a key indicator of the entire U.S. economy and it is used to judge its performance. The S&P 500 Index (SPX) is the most traded index in the world after the Dow Jones Industrial Average. Nikkei The Nikkei index is like the Dow Jones Industrial Average, but for the Japanese. It averages the performance of the 225 largest companies in the Japanese stock market. Typical representatives of the Nikkei are Toyota, Mitsubishi, Fuji and others. DAX Deutscher Aktien Index is index of the German stock exchange, which includes 30 "blue chips" the largest companies whose shares are traded on the Frankfurt Stock Exchange. Germany is the most powerful economy in the EU, so if you are interested in the Euro, you should watch the DAX. The index includes companies like Adidas, Deutsche Bank, SAP, Daimler AG and Volkswagen. EURO STOXX 50 The Dow Jones Euro Stoxx 50 Index is one of the key indices in the eurozone, reflecting the success of major EU companies. The index includes 50 companies from 12 EU countries. FTSE Financial Times Stock Exchange, also known as footsie, an index of the largest companies listed on the London Stock Exchange. There are several variations of it (which is often the case with indices). Let's say the FTSE 100 includes 100 companies and the FTSE 250, respectively, includes the 250 largest companies in the UK. Hang Seng The Hang Seng Index (HSI) for the Hong Kong Exchange shows changes in the prices of companies listed on the Hong Kong Exchange. The index includes the 50 largest companies with a capitalization of 58% of the total volume of the Stock Exchange. The relationship between the stock market and the Forex Now let's see if we should take all these indices into account when working with currency pairs. Of course, you should to determine general market trends at higher timeframes (remember multiframe analysis). In general, when the stock market is on the rise, investors are more willing to invest in it, buying the national currency. Which leads, of course, to its strengthening. If, however, the stock market falls inconsolably, investors take their money, converting it back into their currency and the national currency weakens. However, there are two exceptions the U.S. and Japan. The economic growth of these countries often leads to the fact that their national currencies are weakening such a funny paradox, nevertheless, related to certain economic mechanisms. Let's look at how the Dow Jones Industrial Average interacts with the Nikkei. As you can see, the DJIA and the Nikkei 225 are following each other. Moreover, sometimes the movement of one index anticipates the movement of the other, which allows you to use such a miniature time machine for making predictions. Let's see other examples: USD/JPY and DJI USD/JPY and NI225 EURJPY and STOXX50 GBPJPY and FTSE100 Correlation can be regarded as an additional indicator of the global market trend. If the indicators of two interrelated assets diverge, it is much easier to determine the trends of each by methods of technical analysis. And you already know what to do with trend lines. Let's look at some popular correlations between commodities and currency pairs. Gold is up, the dollar is down. In economic crises, investors often buy gold for dollars, which is always up. Gold up, AUD/USD up. Australia is the second largest supplier of gold in the world, so the Australian dollar exchange rate is in no small part related to the demand for gold. Gold up, USD/CAD down. Canada is the 5th largest supplier of gold in the world. Therefore, if gold prices are going up, the USD/CAD pair is going down (because everybody is buying CAD). Gold is up, EUR/USD is up. Both gold and the euro are considered the "anti-dollar". Therefore, an increase in the price of gold often leads to an increase in the EUR/USD exchange rate. Oil is up; USD/CAD is down. Canada is the largest oil producer in the world, exporting more than 2 million barrels a day, mostly to the U.S. If oil goes up in price, the pair on the chart goes down. Bond yields are up/the national currency is up. It is quite clear: the higher the interest rates state bonds, the more they are purchased for the national currency. As the demand for bonds goes up, the exchange rate goes up. The DJIA is down, the Nikkei is down. The US and Japanese economies are very closely linked and go up as well as down. Nikkei is down, USD/JPY is down. Investors often choose the yen as a "safe haven" in times of economic trouble. The stock market, the state of which can be analyzed through indices, is directly correlated with currency pairs. Studying their interaction, you can often find situations when these data diverge so that one index acts as a "time machine" for the other. What is important is not only the correlation itself but also the fact that its polarity changes from positive to negative and vice versa.
Education
2
Entry Levels is the most important in Tradingin this video we try to make you understand why entry is very much important in trading #nifty #priceaction #priceactiontrading #optionanalysis #banknifty #bankniftyprediction #nifty50 #niftytomorrow #niftyprediction #niftyanalysis #niftyfifty #niftytoday #niftybank #banknifty #bankniftytomorrow #bankniftyprediction #bnkniftytrading #charts #technicalanalysis #crypto #sensex #nse #nseindia #bse #optionsellingstrategy #optionstrading #optionsellingstrategy #optionstrategy #optiontrading #optionsellingstrategy
Education
1
Bull Bear Power Void - With trending background To get this indicator on your charts (remove the old one from your favs and your chart if you have it already) otherwise just go to this link and add it Welcome to the coffee shop everybody in this video I am discussing the new changes to the bullet bear power void. There have been some changes to the coding because I did see your messages discussing that it was difficult to see the trend ribbon in the background so now you have an entire background that adjusts its color depending on whether the trend is positive or negative or if there is no trend. go ahead and watch the video for the results on that one hand I also took the time to show you guys how to see a Divergence in your volume up against your price. along with that you can also see when you should and should not re-enter the market for a continuation trade. Black background means there is no volume or that profits are being taken off the table. Red background means that the volume is trending bearish. Green background means that volume is trending bullish. One way to spot a Divergence or a slowing down in the trend is when your volume column brakes outside the void at the same time you get an equal color background, Look at the height of that volume candle and compare it to the last time that you got a similar color background with a column breaking outside the void. If your volume Is closer to the void it was in the previous one, then you do not enter this as a continuation trade. If you are trading bullish then your new re-entry has to have more volume than your last re-entry. If you are trading bearish then your new volume has to be lower than your previous volume
Education
2
The Power of Trend LinesTrend lines can help to identify areas of resistance along a price trend. They can also help to provide confirmation when trading. From wikipedia on lines: In geometry, a line is an infinitely long object with no width, depth, or curvature. Thus, lines are one-dimensional objects, though they may exist in two, three, or higher dimension spaces. In modern mathematics, given the multitude of geometries, the concept of a line is closely tied to the way the geometry is described. For instance, in analytic geometry, a line in the plane is often defined as the set of points whose coordinates satisfy a given linear equation, but in a more abstract setting, such as incidence geometry, a line may be an independent object, distinct from the set of points which lie on it. Now if we understand what lines really are and how they are calculated then it can of some use when trading. In trading, they are simply a set of points that form a pattern called a line. Just like if you plotted a chart, and inputted the locations in a graphing calculator, you would get a line. If you are a technical trader, like me, then you should understand the use of patterns in charts. Prices tend to move along a trend until something gets in the way. This can happen along multiple time frames. Like all forms of analysis, they do not provide trade alerts for either direction, but rather help you map the field. When plotting a diagonal trend, I prefer using rays to connect points so that the line continues forever. Horizontal lines are also useful for identifying areas of resistance. The flag and pennant patterns are formed when two diagonal trend lines meet. A top line and bottom line. Other patterns such as the head and shoulders pattern is formed using horizontal lines are used. So lines are useful for determining continuations, uncertainty/stagnation, and reversal opportunities. It is important to keep in mind that markets are influenced by individuals and thus are random. A line may appear to be broken but if you keep in mind the way that lines are plotted on a chart then you should understand that it could still be a part of the current trend. This is when fibonacci lines are useful but that requires a much longer blog post than this.
Education
7

See all educational ideas 

Video ideas

DOGE -Easy Trick, Targets with Moving Averages🎯Hi Traders, Investors and Speculators 📈📉 Ev here. Been trading crypto since 2017 and later got into stocks. I have 3 board exams on financial markets and studied economics from a top tier university for a year. Daytime job - Math Teacher. 👩🏫 A quick look at Dogecoin after the mini rally. DOGE loves moving averages . The moving averages is always a strong indicator of where the price could land after a correction towards the upside - and we see just that. Resistance in the 3D timeframe from the 200d moving averages. My observation on DOGEUSDT will conclude that this was just a correction to the upside following BTC increasing. I'd be looking to take profits here. Interested in Bitcoin? Check out this idea on BTC, covering the fundamentals in the market at the moment: _______________________ 📢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
27
Dxy12. 1. 22 Part 2 I thought it was important to take one more look at the dxy because there are two support areas that are very close to one another. And that makes a trade decision more difficult.If the market moves significantly lower, it might give you a chance too short if it starts to retest the breakout lower, is that could be a good trade decision. At the end of this video there was some silence because I was going to shut down the video, but I decided to look for an example but I was trying to describe, so listen a little longer and I'll show you the example what I'm talking about.
1
FTMUSDT wants the daily supply the price got a rejection from the 0.618 Fibonacci level. How to approach it? IF the price is going to grab new liquidity below the local support, According to Plancton's strategy , we can set a nice order ––––– Keep in mind. 🟣 Purple structure -> Monthly structure. 🔴 Red structure -> Weekly structure. 🔵 Blue structure -> Daily structure. 🟡 Yellow structure -> 4h structure. ⚫️ black structure -> <= 1h structure. ––––– Follow the Shrimp 🦐
3
MATIC Takes Off And Bitcoin Moves To A Daily Up TrendIt's nice to see some proper green in the market the last couple of days but don't get ahead of yourself, it is only 2 days so far and while it would be lovely to see bitcoin at 20,000 on Christmas day, we still have a long way to go. I break down the top-10 in crypto in this video and the charts I am watching. Please feel free to ask any questions in the comments section and hit that little rocket ship bottom right. Thank you!
Long
1

See all video ideas 

Streams

See all streams 

Brokers

TradeStation
TradeStation
Featured
Stocks, Crypto, Futures
Fabulous
Learn more
FOREX.com
FOREX.com
Forex
Fabulous
Learn more

See all brokers 

Love in every #TradingView

Take a look at the #TradingViews that inspire our community

TradingView Chart on Instagram @TradingView

@TradingView

TradingView Chart on Instagram @mytradingsetup

@mytradingsetup

TradingView Chart on Instagram @swingtradersociety

@swingtradersociety

TradingView Chart on Instagram @eagle_chart

@eagle_chart

TradingView Chart on Instagram @nasdaq.forex

@nasdaq.forex

TradingView Chart on Instagram @linda.cooper0

@linda.cooper0

TradingView Chart on Instagram @mytradingsetup

@mytradingsetup

TradingView Chart on Instagram @Cenobar

@Cenobar

TradingView Chart on Instagram @matg.fxt

@matg.fxt

TradingView Chart on Instagram @chriskane.fx

@chriskane.fx

TradingView Chart on Instagram @miahouse9

@miahouse9

TradingView Chart on Instagram @zuko_carmona

@zuko_carmona

TradingView Chart on Instagram @grandebender

@grandebender

TradingView Chart on Instagram @johndollery

@johndollery

TradingView Chart on Instagram @iam516

@iam516

TradingView Chart on Instagram @bradfairbridge

@bradfairbridge

TradingView Chart on Instagram @reubenblameyfx

@reubenblameyfx

TradingView Chart on Instagram @frankchevai_fxt1

@frankchevai_fxt1

Explore the world