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S&P 500ES1!
Nasdaq 100NQ1!
Bitcoin IndexXBT
U.S. Dollar IndexDX1!
Dow 30YM1!
Russell 2000RTY1!
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Advanced Micro Devices IncAMD
Amazon Com IncAMZN
Tesla, IncTSLA
Netflix, IncNFLX
Meta Platforms, IncMETA
Crypto Market CapTOTAL
BitcoinBTCUSD
EthereumETHUSD
SolanaSOLUSD
UniswapUNIUSD
Luna / U.S. DollarLUNAUSD
EUR/USDEURUSD
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Snaps

Your essential 20 second market digests.
SPX
The first decline in 10 years

The housing market fun we had during covid is over as prices decline for the first time in a decade, helping the S&P 500 hit fresh lows on Tuesday.

CELUSD
CEL ya later

Senior crypto executives are straight up not having a good time right now, with two of the most high-profile execs in the industry jumping ship as headwinds get stronger and stronger.

BB
A stalled turnaround story?

Meme stock mania has turned to meme stock melancholy for BlackBerry, which is struggling to get much momentum for its turnaround plan.

HOOD
The sheriff of blockingham

Robinhood is moving further into the world of crypto but it’s doing so at kind of a bad time, with most of the market keeping their crypto close amid the winter frost.

JBLU
Unlucky alliances

Court is in session – government lawyers are trying to get a federal judge to block JetBlue’s pending Spirit Airlines purchase, saying it’s gonna end up costing the consumer.

RBNUSD
Let’s get derivative

The world of crypto derivatives just got a lil bit more spicy as Ribbon Finance enters the chat.

AMC
The dilution solution

AMC uses its APE divided for just what it was intended but reignites investors' dilution fears at the same time.

NEXOUSD
Nexo on the chopping block

Like the kid that gets the class extra homework for being too loud, Celsius might just have ruined the fun for crypto lenders.

USDCNH
The yuan yearns for relief

Asian currencies continue to feel pressured by the dollar, prompting central bank intervention – though so far it doesn’t seem to be the salve they hoped it would.

LUNAUSD
Binance lights a burning fire under LUNC

Luna Classic hodlers are divided on whether Binance’s new burning mechanism is the best thing since sliced bread or the worst thing since banana on pizza. Yep, people actually do that.

HG1!
The metals market gets clanged

There’s a general sense of malaise surrounding much of the metals market this week so far as copper gets brought down by China woes.

TOTALDEFI
Stablecoins settle in

Stablecoins are finding some sort of stable footing, but it’s going to take more than that for the industry to recover.

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Trade ideas

8 Reasons Why Medtronic is a Great Investment OptionMedtronic is a medical device company that focuses on research, development, manufacturing, and distribution of various medical devices. The company has grown rapidly in the last few years thanks to its strong performance and focus on innovation. In this article, we will discuss why Medtronic remains a strong investment option with a promising future ahead. Reasons to invest in Medtronic The strong financial position of Medtronic is one of the main reasons to invest in it. The company’s debt-to-equity ratio is below 1.0, which means that its debt is well below its equity base. This is an important ratio to watch as an investor, especially if the company is heavy on debt – as that indicates that the company may run into trouble in the future especially in times like these where interest rates are going up. The company’s return on equity (ROE) is consistently above its cost of equity, which means that it is earning much more than its shareholders could expect in a risk-free investment. Similarly, Medtronic’s debt-to-asset ratio is below 40%, which shows that its debt is lower than its assets. This is important to look at when evaluating a company’s financial position, as it indicates the company is mostly likely to be able to pay back its debt even in a worst-case scenario. Strong Financial Position Another factor to consider when evaluating a company’s financial position is its liquidity. Liquidity is the ability of a company to quickly turn its assets into cash if needed. When it comes to Medtronic, the company has enough liquidity thanks to its cash on hand, cash from operations, and other short-term investments that can easily be turned into cash. Similarly, Medtronic’s current ratio (the number of current assets compared to current liabilities) is above 1.0, which indicates that the company has enough current assets to meet its current liabilities. This ratio is important to look at because it indicates whether or not a company can meet its short-term obligations while also pursuing long-term goals. Strong Track Record of Growth Through Acquisitions Medtronic has a strong track record of growth through acquisitions, having acquired dozens of companies in its history. This is important to watch out for when investing in a company – especially if it has a history of poor acquisitions. This can lead to lost capital for investors as well as a company that is unfocused. However, the acquisitions Medtronic has made have all been successful and focused around the company’s core business. This has allowed Medtronic to offer a wide range of products around the world while also keeping its R&D focused on the most important innovations. Integration of CareLink with Guardian 2 platform Another example of a successful acquisition is when Medtronic purchased CareLink in 2015 for $250 million. CareLink is a company focused on creating remote patient monitoring solutions that are designed to help patients manage chronic diseases at home. Following the acquisition, CareLink was integrated into Medtronic’s Guardian 2 remote care platform, which connects patients and doctors while also allowing patients to monitor their own health. This represents a huge opportunity for Medtronic as it expands its remote monitoring capabilities. This is especially relevant as more and more people are living with chronic conditions that require consistent monitoring. This is expected to lead to a huge opportunity for remote monitoring solutions in the future. Solid Return on Investment for Medtronic Investors When looking at the company’s return on investment (ROI), it is important to note that this is a long-term number. This means that you want to see a high ROI, but this number is not as important as a company’s short-term numbers. However, when it comes to investment, the long-term numbers are actually more important than the short-term numbers. The short-term numbers are important because they indicate how strong of a short-term investment a company is. The long-term numbers are important because they show the potential for long-term growth. Solid Base of Popular Brands/Products for Medtronic Another important factor to look at when evaluating Medtronic is its core products and brands. These are the products and brands that define Medtronic as a company, and they are what has helped the company grow over the last few decades. These products/brands can give us insight into Medtronic’s future plans, because the company has to consistently update and improve these products to meet consumer demand. Medtronic is venturing into the artificial intelligence space One of the biggest trends in the medical device industry is the adoption of artificial intelligence (AI). AI can be used to help medical devices better understand their environment and collect data/information on patients while also allowing them to communicate with other devices. This can be extremely helpful in the medical device industry, especially when it comes to remote monitoring solutions – which is an area in which Medtronic is already growing. One of Medtronic’s key acquisitions in recent years was HealthMine, which is a company focused on the AI space within medical devices. This acquisition could allow Medtronic to significantly expand its AI capabilities and help the company keep up with the latest trends in its industry. Financials EPS Dividend Yield % Valuation Metrics Summing up There are many reasons why Medtronic is a great investment option. The company has a strong financial position, a strong track record of growth through acquisitions, an integration of its CareLink acquisition with its Guardian 2 platform, a solid base of popular brands/products for Medtronic, and Medtronic is venturing into the artificial intelligence space. These are all reasons to invest in Medtronic because they show a strong future ahead.
Editors' picks
Long
2
Ethereum - Macro outlook | -62% next month! After the merge, the price of ETH is rapidly going down. It's basically a free fall right now. It was clearly a sell-the-news event.  I am very bearish until we break the major trendline that you can see on the chart. There is absolutely no reason to buy ETH at this moment.  On the daily chart, we can spot a descending parallel channel that is very well respected with all trendlines inside. These trendlines can be useful for short-term trades. I believe there is a possibility of touching the downward trendline in the future.  The market never goes in a straight line; we always have waves during the trend and that's why Elliott Waves are the best indicator to understand where we currently are in the market structure. According to my Elliott Wave analysis, we are in the final 5h wave of this particular market structure, which can be deadly indeed. But if I am right and we will go down, then do not expect ETH to go to new all-time highs soon. So prepare your shorts, because that's the only way you can profit in this bearish market. Maybe the ETHBTC pair is also starting a new macro downtrend, so basically ETH will fall off the cliff. The situation for ETH is horrendous. It's really better to switch to BNB if you really want to hold some coins. Or just stay in USDT and buy after the crash. I do not expect any tremendous gains for selected altcoins. You can find the most bearish altcoins in the related section down below. Serum (SRM) looks juicy for shorting on the futures market. For more analysis, hit "Like" and "Follow"!
Editors' picks
41
BITCOIN The Blueprint to the next Cycle TopThis is Bitcoin (BTCUSD) on the 1W time-frame and displays a projection both in terms of pricing and timing of its next Cycle modelled out of the previous three using the following attributes: * The Halvings. * Fibonacci extensions from Cycle Top to Bottom to calculate the next Top. * Top-to-Top-to-Bottom-Bottom-to-Halving stats and vice versa. Basically this is an extension and combination of previous studies that we've published here on TradingView. The features of the New Cycle based on the previous ones: - There is a potential Bottom for the current Cycle around $11500 and this is based on a -83% decrease from the $69000 Top. The previous two Cycles made a Bottom at -83% and -86% from their respective Tops. - This Bottom is expected to be on the week of November 07 2022 based on the Top-to-Bottom stat, calculated at 52 weeks (364 days). This is consistent with the previous two Cycles Top-to-Bottom stats at 52 weeks (364 days) and 59 weeks (413 days) respectively. - The Bottom-to-Top range for the next Cycle is calculated at 152 bars/ weeks (1064 days), giving a potential Top on the week of October 06 2025. The previous two Cycles Bottom-to-Top stats have also been 152 weeks (1064 days), while the earlier one 110 weeks (770 days). - That Top of the new Cycle , can potentially be around $200000, calculated on the 1.618 Fibonacci extension level of the previous Top and the next potential Bottom. The Top of the previous Cycle was a little over 1.618, while the Tops of the previous two Cycles were around the 2.383 Fib. Having lower tops, i.e. lower returns is consistent with the Theory of Diminishing Returns in time. - The Halving-to-Top ranges at 83 weeks (581 days), while the Top-to-Top at 204 weeks (1428 days) projected after the previous two Cycles. - The price on the date of the Halving can potentially be around $34500. That is calculate at -50% from the top, consistent with the previous three Cycles (-50%, -46% and -60% respectively). - Also the Bottom-to-Bottom stat (calculated at 204 weeks/ 1428 days) gives an estimated Bottom to the next Cycle around the week of October 05 2026. If I forget something, it is all on the chart for you to see and draw your own conclusions. As the title says this is a Blueprint of the next Cycle, a roadmap purely drawn on Bitcoin's historical data at hand. The reality can turn out to be quite different if the fundamentals weigh differently this time but in a market of constantly moving variables, this 'Blueprint' may be a good way to start and do your own research. So how useful do you think this model is? Do you agree with the potential Bottom and Top levels? Feel free to let me know in the comments section below! ------------------------------------------------------------------------------------------ ** Please LIKE 👍, SUBSCRIBE ✅, SHARE 🙌 and COMMENT ✍ if you enjoyed this idea! Also share your ideas and charts with the community down below! This is best way to keep it relevant and support me and allow the idea to reach as many people as possible. ** ------------------------------------------------------------------------------------------ You may also TELL ME 🙋‍♀️🙋‍♂️ in the comments section which symbol you want me to analyze next and on which time-frame. The one with the most posts will be published tomorrow! 👏🎁 ------------------------------------------------------------------------------------------ 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇
Editors' picks
81
What would you have on a date night? Chicken or steak? We’re going to go out on a limb here and say your date night budgets and recessionary risk are likely inversely correlated! As recessionary risk starts to weigh on investors’ minds, purse strings for date nights are likely to be tightened, which spells trouble for the date night classic, wine & steak pair. Cattle Futures have joined the broad market selloff over the past few days as investors remain on edge. This recent move lower has confirmed a break below the neckline support for a double top pattern observed on a shorter timeframe, which is noted as a bearish reversal pattern. On a longer timeframe, the decline has also broken the 4-month long uptrend for Live Cattle. With not much in the way of support, it’s quite possible to see another leg lower, similar to the pattern we observed in May 2022 where prices corrected around 4.5% once the uptrend was broken. Using this as a reference, the 143 range marks the next potential stop for live cattle prices if we were to extrapolate a 4.5% decline from the breakout point. The broken uptrend followed by the confirmation of the double top pattern spells trouble for live cattle prices. As such, we lean bearish on live cattle futures and will likely swap the date night steak for perhaps chicken… Entry at 148.550, stop at 150.325. Target at 144.850 and 143.075. The charts above were generated using CME’s Real-Time data available on TradingView. Inspirante Trading Solutions is subscribed to both TradingView Premium and CME Real-time Market Data which allows us to identify trading set-ups in real-time and express our market opinions. If you have futures in your trading portfolio, you can check out on CME Group data plans available that suit your trading needs www.tradingview.com Disclaimer: The contents in this Idea are intended for information purpose only and do not constitute investment recommendation or advice. Nor are they used to promote any specific products or services. They serve as an integral part of a case study to demonstrate fundamental concepts in risk management under given market scenarios.
Editors' picks
7
Risk Off: Dollar Up, All Else Falling CBOT: Micro 10-Year Yield ( CBOT_MINI:10Y1! ) Last Friday, U.S. stocks plunged again as soaring interest rates and FX market turmoil fueled investor fears of a global recession. The Dow fell below 30,000 and closed at 29,590, down 486 or -1.6%. S&P 500 broke through 3700 and settled at 3,697, down 1.72%. Nasdaq Composite lost nearly 200 points and closed at 10,868, down 1.80%. Russell 2000 finished at 1,679, down 2.48%. On Wednesday, the Fed raised Fed Funds Rate by 75 basis points to 3.00-3.25% range. Market expected two more rate hikes totaling 125 bps in the November and December FOMC meetings, bringing it to 4.25-4.50% by year end. U.S. Treasury yields surged this week after the Fed's move, with 2-year rate topping 4.2%, a 15-year high. 10-year Treasury yield is currently quoted at 3.687%. Meanwhile, US dollar index ( ICEUS:DXY ) exceeded 113 points, its highest level since April 2002. Euro currency fell to 0.9688 against the dollar, a 20-year low. British pound closed at $1.08, a new low in more than three decades. Global Market in a Risk-Off Mode On August 29th, I pointed out that global financial markets are in a paradigm shift triggered by runaway inflation and high interest rate. All major assets would undergo “repricing”. The recent US CPI data and Fed rate hike help speed up this process. The title chart at the top of this analysis shows year-to-date returns from major financial assets: • US Dollar Index ( ICEUS:DXY ): +17.73%, at 20-year high • S&P 500 ( SP:SPX ): -22.72%, in a bear market territory • WTI Crude Oil ( NYMEX:CL1! ): +3.05%. In March, crude oil gained 60% in response to geopolitical crisis. It turned south ever since the Fed began raising interest rate • Gold ( COMEX:GC1! ): -8.95%. Under a strong dollar, gold has become a risky asset being disposed off by investors. • Euro ( CME:6E1! ): -14.07%. With geopolitical risk compounding a recession, the economic outlook of the Euro-Zone countries is very gloomy • High Grade Copper ( COMEX:HG1! ): -23.77%. Copper demand will decline in the event of global recession. Futures market has fully priced this in • Soybean ( CBOT:ZS1! ): +6.54%. Corn futures was up 25% in June. But the gain was largely given away as the fear of recession outweighed the risk of food crisis In a “flight to safety”, investors shift their assets out of stocks, bonds and commodities, into US dollars instead. With strong exchange rate and high interest rate, US dollar appears to be the only “safe haven” in market turmoil. How to Invest in Dollar? If you are holding financial assets in foreign currency, converting them into US dollar is a logical first step. A risk-averted investor may put dollars into a flowing rate bank account, or purchase money market fund. In a defensive move, you park money in US dollar account until market stabilizes and new investment opportunities emerge. Don’t tie up your money in long-duration deposit, as interest rate is almost certainly going to rise. An active investor may consider trading risk-free US treasury bonds. Other dollar bonds such as corporate bond, convertible bond and municipal bond are subject to repricing. Bond price and bond yield are inversely related. As we expect yield to go up, a trade could be constructed by shorting a cash treasury bond, or shorting CBOT treasury bond futures. CBOT Micro Yield Futures list for two consecutive months. They are more intuitive to trade. If you hold the view that treasury yield would rise, long the micro yield futures. November contract will begin trading next week. Why do I prefer 10-Year ( CBOT_MINI:10Y1! ) over 2-Year ( CBOT_MINI:2YY1! )? We are currently in an Inverted Yield Curve environment. October 2-Year Yield (2YYV2) is quoted at 4.196%, but the 10-year contract (10YV2) is quoted at 3.739%, 457 points lower. In my opinion, rate hikes are fully priced in on the 2YY quote, but 10Y may still have some upside potential. The next FOMC meeting is November 1-2, and the rate decision would be announced at 2PM eastern time on November 2nd. The 10Y November contract may trade till the end of November. Financial market is extremely volatile this year. Getting an information edge increases your odds of success in managing risk. I suggest leveraging real-time market data for a better gauge of market situation. TradingView users already have access to delayed data. A Pro user could upgrade to real-time CME market data for only $4 a month, a huge discount at the time of high inflation. Happy Trading. Disclaimers *Trade ideas cited above are for illustration only, as an integral part of a case study to demonstrate the fundamental concepts in risk management under the market scenarios being discussed. They shall not be construed as investment recommendations or advice. Nor are they used to promote any specific products, or services.
Editors' picks
Long
30
$GBP - What shall we do now?$GBP - What shall we do now? GBP - Since we hit below 1.14 - 1.10 it's really been a one way for this pair and it could continue...However, we have options! 1 Emergency rate hike 2 Intervention 3 IMF 4 Fiscal spending 5 Swap Lines Now these are the options technically speaking we filled gap around 1.09 this morning, I expected 1.06 on table during open we hit lows of 1.03... Now, if we can hold the levels of these levels and perhaps go above 1.09 then no worries. However, if we carry on with these moves then things will get very interesting and keep an eye on the Gilt & FTSE! Now it all looks very dismal when it comes towards headlines but actually there are coming amazing investment opportunities the prices we are getting and of course if you're in USA, what a great time for you to visit! For Candle stick traders - dragon fly! Keep alert of what happens next, this week we have a lot speakers out of CB's and most importantly trade your plan! Best, TJ
Editors' picks
18
BTC's Downtrend Cannot Reverse While Sellers Remain in ControlPrimary Chart: Linear Regression Channel, Fibonacci-Derived Price Target, and Two Long-Term Anchored VWAPs Many crypto enthusiasts have called for a bottom at the various lows in the BTC's downtrend over the past year. At each of the major lows, eager dip buyers swooped in and tried to pick a market bottom. The major swing lows in this bear market in BTC have occurred in December 2021, January 2022, February 2022, May 2022, and June 2022. Each low likely was considered as the bottom (a final low) by investors who pounced in to buy or averaged down on already losing positions. Some savvy traders may have identified extreme oversold conditions in crypto markets at each of these lows and traded a 5-20 day rally to make a tidy profit, and such short-term traders are beneficiaries of the sharp bear rallies that have occurred. More patient short sellers have also benefitted from the bounces if they waited until overbought conditions materialized to position bearishly. The linear regression channel shown on the Primary Chart shows how each interim bear-market low has been followed by a rally back to the top of the regression channel. Once there, investors who had hoped the trend had reversed of the most recent lows were once again disappointed. How many more lows will disappoint the long-term bulls? No one knows. But the odds are stacked heavily against dip buyers for anything more than short-term rallies from extremely oversold lows at downtrend support. Both long-term VWAPs shown on the Primary Chart reveal that the average buyer is now underwater. This means sellers remain in control. As long as sellers remain in control, and as long as downtrends remain intact, it's a low-probability bet to hope for major trend reversal—traders, however, who can remain disciplined and follow technical evidence without letting their biases interfere too much, may make handsome profits as price reaches new lows only to sharply rally back to downtrend resistance. The longer-term VWAPs should be evaluated closely on the Primary Chart. They are both in dark blue. Note that this downtrend has caused price to break below both longer-term anchored VWAPs—one of which is anchored to the pandemic lows in March 2020, and the other of which is anchored to August 2017 lows. Price has paused at each of the long-term Fibonacci retracements measured from the pandemic lows on March 13, 2022, to all-time highs at $69,000. Over the summer, when BTC has rallied it has shown support at the long-term .786 retracement level at $17,792.10. But at the other major retracements, price paused for some time and tested and retested before a break of the level occurred. Price has already tested this $17,792.10 level before bouncing back above it. The next time this area is tested, it should prove weaker. Supplementary Chart A: Long-Term Fibo Retracement Levels It is possible that price is forming a giant corrective A-B-C zigzag (or WXY pattern involving multiple zigzags) from the all-time high. Elliott Wave can be tricky, and multiple wave counts can remain valid simultaneously. Additionally, Elliott Wave counts can continually evolve as price action disproves some wave counts while opening up the validity of other alternatives at the same time. At this time, however, the entire downtrend can plausibly be viewed as a 3-wave move at the largest degree of trend, thus an ABC or WXY corrective pattern. Supplementary Chart B: ABC or WXY Elliott-Wave Corrective Pattern from All-Time Highs with Price Target where Two Declining Waves Have Equality or Near Equality If this is true, price could likely find a low near the 1.00 to 1.272 projections of wave A. More specifically, this means that larger-degree wave C equals the larger-wave A x 1.00 (the same numerical distance between waves A and C), or it means that the larger-degree wave C = larger-degree wave A x 1.272 ($2,292.48), another common relationship in zigzags that is considered nearly equal as well but with a Fibonacci proportion adding a twist—this is a long way down from current levels, but remains a possible EW interpretation. In the meantime, it makes sense for experienced traders to continue to view the short side (at stronger resistance levels) as the higher probability trade. ________________________________________ Author's Comment: Thank you for reviewing this post and considering its charts and analysis. The author welcomes comments, discussion and debate (respectfully presented) in the comment section. Shared charts are especially helpful to support any opposing or alternative view. This article is intended to present an unbiased, technical view of the security or tradable risk asset discussed. Please note further that this technical-analysis viewpoint is short-term in nature. This is not a trade recommendation but a technical-analysis overview and commentary with levels to watch for the near term. This technical-analysis viewpoint could change at a moment's notice should price move beyond a level of invalidation. Further, proper risk-management techniques are vital to trading success. And countertrend or mean-reversion trading, e.g., trading a rally in a bear market, is lower probability and is tricky and challenging even for the most experienced traders. DISCLAIMER: This post contains commentary published solely for educational and informational purposes. This post's content (and any content available through links in this post) and its views do not constitute financial advice or an investment or trading recommendation, and they do not account for readers' personal financial circumstances, or their investing or trading objectives, time frame, and risk tolerance. Readers should perform their own due diligence, and consult a qualified financial adviser or other investment / financial professional before entering any trade, investment or other transaction.
Editors' picks
149
Bears! This is Sparta! SPY 300Hear ye hear ye! Thy SPY chart needeth to drop down to 300. Okay, enough of that. SPY is likely headed down from here and here’s why: For starters, the weekly MACD has had a signal cross failure which is something I’ve been on the look out for since May per the linked idea below. This MACD red alert following on the heels of a head and shoulders with a neckline retest is a recipe for disaster. Okay I’m sounding like Peter Schiff now. Another consideration is the blue channel pair which price has dropped out of. This channel pair is fairly respected going back to 2014 and a break out from it as substantial as the one we’ve experienced this week is sort of a big deal. There is an orange channel which was more relevant in the past but doesn’t seem to be respected as much post-2020. It may serve as support around 357 but I don’t think it will hold based on the above mentioned bearish manifestations. We shall see. There is a green trendline going back to 2011 which looks like the most logical support. I had drawn in some other trendline candidates but they all fell below this level, were not as good, and cluttered the chart, so they were removed. Price falling from here reaches the trendline around $300 which is the price target. There is an AI-generated image of a bear wearing a spartan helmet in the lower-right hand corner. The technology will improve with time, I’m sure. I’m short futures from the current level ($367.95) over the weekend with a stop 1.5% north of here per the MACD idea mentioned above and linked below:
Editors' picks
42
Is Volatility Incorrectly Priced?SPY is down over 20% and the VIX is at ~27!! Extremely low in relation to current market conditions. Based on the Fed’s recent economic projection , unemployment is set to rise 0.6% in 2023!!! In turn a drop of PCE inflation from 5.4% to 2.8% is projected. Implicating a US recession and a possible global recession. Pivoting Powell is donning the Volker mask and risk assets are not safe… The VIX has been making higher lows since June 2021 but is extremely low for the level of uncertainty in the market and it is currently incorrectly priced. As a recession inches closer, market sentiment will degrade and the VIX may explore its upside potential. In markets, volatility is measured in expected terms because participants speculate on future market conditions. Measures of volatility use option pricing as inputs. As volatility increases, option prices increase. Options prices are based on time duration (how long until the option expires) and price variation (how far the strike is from the current price). By aggregating this data, volatility models are able to encompass the markets expectation of price variation (volatility) in the underlying asset. VIX: The most common measures of Volatility is the VIX. This index is a forward looking indicator of volatility that indicates the level of uncertainty in the SPX marketplace. In more technical terms: VIX measures 30 day expected Volatility of the SPX futures market. The VIX uses SPX Option prices because SPX Options reflect the market’s expectations of future volatility. (SPX Options Puts/Calls are more expensive when volatility is higher). SPX options reflect the amount investors are willing to pay for options (put or call) indicating the expected movement in SPX. The VIX Index (also known as the sigma index) is represented as an annualized 1-standard deviation measure of return on SP500. With SPX at $400 and the VIX at 27. There is a 68% chance (1std), SPX will be -/+ 27% one year later. Calculations can also be made for the market’s expectation: for 1 month: 27/sqrt(12months)= +/- 7.8% expected move, one month later: , 1 week: 27/sqrt(52weeks)= +/- 3.7% expected move, one week later: and 1 day: 27/sqrt(256tradingdays)= +/- 1.7% expected move, one day later. As the VIX rises the future value of SPX becomes more uncertain. For context, in March 2020 the VIX reached a +/- 80% expected move in the SPX. When VIX options are incorrectly priced in relation to market conditions both bulls and bears can profit by utilizing options. Bulls can buy options on their bullish stocks instead of purchasing shares out-right because even if the underlying asset price doesn’t increase much; their option appreciates with volatility. Bears will find their put options appreciate with the increase in Volatility while, the underlying asset price falls as well. VVIX: Just as the VIX is calculated by using SPX options as inputs. The VVIX is calculated by using VIX options. VVIX is a measure of the change of volatility in the VIX volatility index and in particular focuses on the magnitude of SPX Volatility. When VIX is high, that means option prices of the SPX is high, which means investors want to sell premium on the VIX. (If options are expensive, there is incentive to sell options). The VVIX can be used to better understand the VIX. When VIX and VVIX are low, strategies that benefit off increased volatility (ex. Debit call spread) will benefit. VVIX is rate variable and reverts to the mean of around 70-90. VVIX just came down from 160 in January 2022 and now is at 90. Even though this is an average level, volatility should be more elevated in the midst of a tightening cycle. SKEW: SKEW measures the Slope of Implied Volatility which is probability that the one-month S&P 500 log-return falls two or three standard deviations below the mean. When SKEW is equal to 100, the distribution of S&P 500 log-returns is normal, and the probability of returns two standard devations below or above the mean is 4.6% (2.3% on each side); the probability decreases to .3% (.15% on each side) for three standard deviations. For every five point move in the SKEW index adds or subtracts around 1.3 or 1.4 percentage points to the risk of a two-standard deviation move. Unlike the VIX, the SKEW index looks at implied volatility of SPX Out of The Money (OTM) puts. Skew tells us that calls are expensive and puts are cheap. Skew is a measure of the relationship of OTM puts to OTM calls. SKEW is known as being the indicator of a BlackSwan Event. As demand of OTM puts rise, SKEW rises. SKEW looks prime for an upward move and the VIX will likely join.
Editors' picks
16

See all editors' picks ideas 

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Inflation & Interest Rate Series / Dollar and Gold I have started this inflation and interest rate series, in our last video, we discussed "Inverted Yield". Today will be discussing the relationship between: . Inflation . Interest rate . Dollar and . Gold Today's Content: • Why with higher interest rates, it strengthens the USD • Is USD the strongest currency? If not, then who? • Strategy to counter inflation • Interest rate higher, but a lower USD? Dollar Index: . Measure the value of the dollar against a basket of six foreign currencies. . These are: the Euro, Swiss franc, Japanese yen, Canadian dollar, British pound, and Swedish krona. . With the increase of money supply over the decades, it causes currencies dilution. When currencies weaken, inflation follows. COMEX Gold 0.1 = US$10 1.0 = US$100 10 points = US$1,000 Disclaimer: • What presented here is not a recommendation, please consult your licensed broker. • Our mission is to create lateral thinking skills for every investor and trader, knowing when to take a calculated risk with market uncertainty and a bolder risk when opportunity arises. Stay tuned for our next episode in this series, we will discuss more on the insight of inflation and rising interest rates. More importantly, how to use this knowledge, turning it to our advantage in these challenging times for all of us.
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Trendlines & Channels Tutorial: Part 1This will be a multi part series on trendlines and channels, what they represent, how to draw and use them, and how I design trades around them. For the sake of simplicity this series will focus on uptrends. Importantly, the principles are roughly the same for both uptrends and downtrends except that downtrends often develop more quickly. I see many TL tutorials, but I don't see much attention paid to what a TL or a channel top represents. Whether a long-term pattern or a shorter-term pattern like a key reversal or a gap, being thoughtful and understanding the supply/demand dynamic that forms each pattern will make you a better analyst/trader. Trendlines represent the willingness of the composite investor to follow price higher/lower. In other words, uptrends represent the stride of demand and downtrends represent the stride of supply. As long as the composite investor is willing to buy/sell at consistently higher/lower levels, demand/supply remains consistent and the existing uptrend/downtrend is intact. Channel tops are known as supply lines and represent areas where supply, generally profit taking, should be expected to develop. The relationship between price and the TL and the channel top can offer important insight into the strength or weakness of the underlying trend. Failures to push to either the trendline or the chanell top potentially warn of a change in the underlying trend. We will cover this in part 2. What trendlines don't offer, at least in my approach, are standalone trading opportunities. Automatically buying trendline touches or selling trend line breaks must be combined with tactical entry techniques in order to build a safe trade. Most specifically, TLs don’t offer reliable sell signals when they are broken. Tests, both of TLs and channels are simply "get ready" warnings. A break of an uptrend does not change the underlying trend from up to down but to neutral. More work is typically needed to turn the trend. A TL is two or more points connecting support or resistance pivots of roughly the same magnitude. A trend channel is formed by building a parallel trendline connecting an intervening pivot on the opposite side of the pattern. The channel top in an uptrend is the overbought or supply line. It bears repeating, proper trendlines are drawn between intervening lows of roughly equal magnitudes and should never be forced. A TL is not tradable or informative if it does not conform to the natural path of the market. “Trendlines should be pretty.” Trendlines evolve. Initial projected trendlines are consistently inconsistent. More often than not they will have to be adjusted as price action evolves. In my estimation there are three primary types of trendlines: Type (1) These trendlines are shallow and take a significant number of bars to resolve themselves. They are more useful for defining the trend than for trading. Type (2) These trendlines are typically very steep and run along intraday or daily price lows or highs. These trendlines are very useful as entry triggers and become important as existing type 1 trendlines and channels are tested. Type (3) These trendlines define the bottom/top portion of a tradable pattern or formation including rectangles. A pattern TL is more apt to provide tradable support or resistance, particularly if the market is overbought or oversold during a testing phase. The horizontal lines along the top of lateral congestion fall into this classification. In part 2 I will cover how to utilize these sloped TLs and Channels to help understand the ebb and flow of supply and demand. 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.
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The 7 Laws of Stock Market SuccessDoing something new because I am bored. Enjoy the article 🤣 The 7 Laws of Stock Market Success When it comes to investing, everyone has their own strategy. Some people believe in the high-risk, high-reward approach and put all of their money into small, volatile stocks. Others prefer a more cautious strategy that focuses on steady blue-chip companies and avoids risk whenever possible. Investors who have chosen the cautious route have been rewarded over time by not risking their capital unnecessarily. The people who have adopted the riskier approach have also generally been rewarded for their daring with above-average returns. But what about these two groups of investors has led them to adopt such different strategies? The answer lies in understanding the principles that drive success in the stock market - both long-term and short-term - wherever you invest your capital. These principles are the seven laws of stock market success. Recognize the Importance of Timing Successful investing is, at the most basic level, about buying low and selling high. If you buy stocks when they are priced at a low level, and then sell them when they are high, you will make a profit - and the more you will profit by doing so, the more successful you will be as an investor. But timing is everything. If you buy a stock at a low price and then sell it at a high price, but you do so too early, you will miss out on the full potential profit from your investment. If you sell it too late, however, you will miss out on a profit that you could have made if you had acted sooner. Invest with a Long-Term Focus When you are investing with a long-term focus, you are trying to buy stocks that will profit from long-term trends in the economy. Industries such as healthcare and technology are likely to be profitable for a long time, as long as new technologies keep developing and people stay in need of healthcare. These investments may see huge ups and downs in the short term - but if you keep focused on the long term, you will be rewarded for taking the extra risk. In order to invest with a long-term focus, you have to ignore the short-term noise in the market. If you focus only on the short term, you will be unable to ignore the fluctuations in stock prices that will cause you to sell too early and miss out on the full potential of your investments. Be Selective When Choosing Investments If you are a buy-and-hold investor who is investing with a long-term focus, you need to be selective about the companies in which you invest your capital. If you choose a company that has a great long-term outlook but also has a poor management team, you are unlikely to earn a profit from your investment. Take a company that is doing well, but has a management team that will likely face challenges in the future. You can expect that the stock price of the company will fall as the market reacts to bad news from the company. Over time, however, the stock will likely recover as the management team overcomes the problem and regains investor confidence. Determine the Reasons for Investment Before you invest your capital in a stock, you need to ask yourself why you are choosing that particular investment. If you don’t have a good reason for that investment, you need to be prepared to either lose your money or miss out on the full profit potential of that investment. If you invest your money in a company with a good long-term outlook, but you do not have a good reason for doing so, you may be unable to hold onto the investment when it falls in price. You need to be able to explain why you are choosing a particular investment. If you can’t explain it to yourself, you are likely to have trouble holding onto the investment when the price falls. Stick to Your Plan Regardless of Markets The stock market is a volatile place, and investment prices will rise and fall throughout the year. Some investments will go up in price, while others will fall in price. Investors trying to make a profit by buying low and selling high will take advantage of these short-term fluctuations in the market by buying stocks when they are low and selling them when they are high. You can’t take advantage of short-term fluctuations in the market if you don’t have a plan. If you don’t have a plan for how you are going to invest your capital, then you are likely to make impulsive decisions based on whatever is happening in the market at the moment. Don’t Expect Short-Term Rewards If you are investing with a long-term focus, you can’t expect to reap the rewards in the short term. If you invest in a particular company, you are hoping that the company will grow in value over time as it becomes more profitable. If you sell that investment before it has time to grow, you will miss out on the full potential of your profit. You have to be willing to hold onto your investments for the long term - even when they are going through slumps in the short term - if you want to maximize your profit. Conclusion Investing in the stock market can be a very profitable endeavor, as long as you understand the principles that drive success in this industry. Once you understand how successful investors are driven, you will be able to make smarter decisions about where to invest your own capital and profit from your investment strategy. The sooner you start thinking like a successful investor, the sooner you can start profiting from your investments.
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My best wining trading strategyBefore giving you false hope, this strategy, like any other, will not have a 100% wining ratio. But, with a RR of about 1:2, and a wining rate of 40%, it will make money long term. A tested wining percentage is around 60% depending on market conditions. Time frame : 4h Indicators used: - Renko chart - Cumulative Delta - RSI - OBV - Moving average 9 Candlestick patterns: If is the case, there is an advantage. Entries signals: Only with Pending orders on retracement, after signal 1 triggered. 1. Reversal brick on Renko 2. Divergence/Convergence on Cumulative Delta. If you do not know about this, you can check on my website at the course section. 3. Divergence on RSI indicator 4. OBV must follow the Renko brick. AS in the given example, if green Brick, than OBV must increase in volume. 5. Moving average is used like standard, or normal settings. Entry on cross, or touch. Exits TP : Renko brick reversal or standard RR according with SL. SL : According with structure, or Renko brick size. IF Renko brick is forming every 1000 points, than it is recommended for SL to have the same size. Don't Stumble Trading. Trade Safe!
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🟩TRADING HACKS: You're doing ENOUGH 🟩 This video is about the importance of thinking in RR and %. The main point is when you think you haven't earned enough is $ amount - and so you want to trade more and more, which leads to poor trade quality - remind yourself that trading is highly scalable, and so it's ok to imagine you have a 20x more capital at the moment. So x20 your profit in the trade and ask yourself how I feel now, is this enough for the day? Remember, if you're consistent, you'll be able to scale the account relatively easy.
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How to build a top-tier trading planHey everyone! 👋 Today, we will be looking at how to build an unstoppable trading plan in a few short steps. While many successful traders often use different ‘variables’ when it comes to identifying trades, the core decision making process of all good trading plans remains mostly the same. Therefore, we’re going to go over a few key things that you shouldn’t be missing out on in your very own trading plan. Let’s get started 👇 Asset Selection 🏦🏦 All good trading plans need to define how they will select what assets they will be trading. For Futures and FX traders, this is a relatively straightforward process, as the universe of tradable symbols is small. However, for Equities and Crypto traders, the universe of tradable symbols is massive. How will you figure out which symbols present the most opportunity and the best risk/reward? Having a defined set of criteria for finding opportunities you’d like to trade is absolutely essential for maximizing your strategy’s expected value. For example, a stock day trader might search for stocks gapping overnight more than 4%, on more than X amount of volume/shares traded. Or, a crypto swing trader might search for liquid cryptocurrencies with oversold or overbought conditions that could present a mean reversion opportunity. No matter what the asset though, for traders, generally there are two key things to ensure you’re looking for: Volatility ✅ Liquidity ✅ If an asset doesn’t have enough liquidity, then it will be hard to scale in and out of bigger positions over time. If an asset doesn’t have enough volatility, then it will be hard to generate absolute returns from the small trading range. This isn’t always the case, as a few options strategies look to profit off of low volatility, but for spot traders, it is absolutely essential. Execution Logic 🧠🧠 Once you know what asset you’re looking to trade, the next step is to define what actually counts as a trading opportunity. Almost all assets move every day - what “setups” can you define for yourself that offer the best risk/reward? The best trading plans have logic that reads like a decision tree, so the trader doesn’t have to think too hard in the moment about the process - all of the hard decisions have been made prior to the in-the-moment situation. These decision trees can become infinitely complex, but as long as you create and are comfortable with your own execution logic, then you can follow it and improve it over time. There are two important elements to account for when creating decision logic: Direction ✅ Execution ✅ While some traders are comfortable taking trades in either direction, many traders are only comfortable with taking trades in one direction, because it can be easier to simplify what you’re looking for in a trade. Because of this, most funds and traders will look to come up with a “view” first. For example: “I will only look for long trades when the asset is above its 20d moving average.” OR “If the ISM PMI is greater than 50, then I will only look to buy stocks.” Then, once you know what direction you’re trading in (it can be both!), actually figuring out PRECISELY what gets you into and out of a trade becomes necessary. For example: “If I am looking for a long entry in a trending asset, I will only buy at a 30d high, while setting my stop at a 30d low.” Having both direction and execution helps to clarify exactly what counts as a trading opportunity, and what is simply a pattern that only exists in your head. It's also key to controlling your risk and getting you out of bad situations should they arise. Cash Management 💵💵 Finding assets to trade and trading them according to a high-quality plan matters little if you lose everything in a single trade you were sized too large in. Because of this, the best trading plans account for risk and drawdown by planning for the worst-case scenario. Common strategies to control risk center around sizing trades (to risk no more than 1-5% of your capital at any one time, for example) using theme limits, sector limits, and more. Risk is a decision you make on the way in, not on the way out. When placing a trade, know ~exactly what you are risking, and how that fits into your overarching position management strategy. See this article for more details. So, there you have it! 3 quick steps to building an unassailable trading plan ready for the punches the markets will throw your way. Well, what are you waiting for? Get to work 😉 -Team TradingView ❤️
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WHAT IS DRAWDOWN | 3 Types Of Drawdown Explained 📚 Hey traders, In my videos, I frequently use the term "drawdown". Many of you asked me to explain the meaning of that term and share some examples. The account drawdown is the highest observed loss from the highest value of the deposit to the lowest value of the deposit at a certain period of time. Imagine you started to trade with 10,000$ account. At the end of the year, your account size reached 15,000$. However, at some point through the year the deposit value dropped to 6,000$. It was the absolute minimum for the one-year period. At some point, your net loss was -4,000$ or 40% of your account balance. The account drawdown is 40%. ❗️Knowing the account drawdown is very important for the risk assessment of the trading strategy. Usually, 50% and bigger drawdown signifies an extremely high risk. There are 3 types of drawdown to know. Current drawdown - a temporary drawdown associated with the negative total value of opened trading position(s) at present. Once you start trading with 10,000$ deposit, you open several trading positions. Being opened, with the constant price movements, your potential gains fluctuates from positive to negative. For examples, with 3 active trades: EURUSD (-500$ at present); GBPUSD (+200$ at present); GOLD (-100$ at present) your current account drawdown is -400$ or 4% of your deposit. Fixed drawdown - the negative value of the closed trading position(s) at present for a certain period of time. While some of your trades remain active, some are already closed. Imagine the same deposit - 10,000$. On Monday you opened 6 trades, 2 still remain active and 4 are already closed. Your total loss from your closed trades is -500$. Your fixed Monday's drawdown is 5%. Maximum Drawdown - the maximum observed loss from the highest value of the deposit before a new maximum is reached. Starting to trade with 10,000$ you are already trading for 5 years. Your account were growing rapidly and at some moment it reached 25,000$. Then the recession started. You faced a dramatic loss of 12,500$ before you started to recover. That was the maximum observed loss for the period. Your maximum account drawdown was 50%. ❗️Different types of drawdown give a lot of insights about a trading strategy. Its proper assessment will help to spot a high risk strategy and to find a conservative one. Constantly monitor your account drawdown and always check the numbers. What is your highest account drawdown? ❤️If you have any questions, please, ask me in the comment section. Please, support my work with like, thank you!❤️
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How to calculate which lot size to useAs mentioned several times before, we risk 1% of our total trading capital per transaction. In simple terms, we risk 1 egg out of the 100 that we have in the basket in an attempt to get more eggs. However, even though the average price mark where we place our Stop Loss is 30-60 pips away from the entry price, SL levels set differ from one trade to another, and different currency pairs have various differences in pricing (major pairs have small differences for the most part, while minor and cross-pairs have big gaps in pricing). This article will demonstrate 3 random scenarios and illustrate which lot sizing is needed to be used based on the Stop Loss set and the percentage of the total capital risked while taking into account the size of the trading account. All numbers are imaginary in order to diversify the visualisation of the portrayed examples and give a better understanding of the case. Enjoy the idea and don't forget to drop your questions in the comment box below!
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PRICE CHANNELS: A simple but very important trading tool1. WHAT IS A PRICE CHANNEL? On any chart, you can see that the price is moving in a trading range bounded from above and below, and this range is a price channel. They can be ascending, descending or sideways (ranges). Ascending channels are formed with an uptrend, Descending channels are formed with a downtrend, Lateral channels are formed at intervals when the price moves in a horizontal range. 2. WHICH CHANNELS ARE MORE RELIABLE AND EFFICIENT? If the price has touched the channel boundaries more than two or three times, it is considered confirmed. If he touched it up to two or three times, the channel is unconfirmed and weak. In fact, the channel is a derivative of the trend line. The channel boundaries are drawn based on the upper and lower maximum price values (extremes). To create a connecting price channel, both lines must be parallel, and the number of points must not be less than indicated above. The more often the price touches the channel boundaries, the stronger and more effective the channel will be. 3. WHAT TO DO WITH THE PRICE CHANNEL? HOW TO TRADE IN IT? Use the bottom line of the uptrend channel to open long positions (to buy) - these are the most profitable signals. The resistance of the ascending channel in this case is the most important point of reference for short-term trades against the trend - from the upper limit of the ascending channel, you can open short positions (sales). In a falling market, the channel is descending, so a deal against the trend from its lower border will be a long position (buy), and from the upper border in the direction of a downward trend - short positions (sell). Crossing the channel boundaries may be a signal that the trend continues. This happens when the price breaks through and settles outside the channel boundaries, under or above the channel resistance. When it breaks through the upper limit of the ascending channel, it indicates that the trend is accelerating, and it may make sense for traders to activate purchases or open long positions. If it breaks through the lower boundary of the uptrend channel, it is a signal of a trend reversal, and it is better to open short positions. The approximate size of the falling price most often corresponds to the width of the range. The situation will be the opposite for a falling market with a descending corridor. 4. HOW TO BUILD A PRICE CHANNEL? To do this, you need at least three points on the chart. Two of them define a line of resistance or support, the third should be opposite to the first two. To build an uptrend channel, we need to understand where the trend movement begins. Determine from two local gradually ascending minimum points where the trend line should be drawn. These two local points will be the reference points, and the constructed line will be the base support line for the channel. Then draw another line parallel to the obtained line, which should pass through the highest point of the maximum - the very point opposite to the first two, which is located between the polls. We do the same for descending price channels - only in this case we draw resistance instead of support, the main line should pass through the highs, and the second trend line should pass through the minimum. The way to determine if you are dealing with a range is to allow the price to touch both levels, resistance and support, at least twice, and the levels should be horizontal. 5. HOW TO TRADE IN THE PRICE CHANNEL Trading in a price channel reveals a variety of strategies - trade either inside the channel, buy or sell from resistance or support. Or a breakout of the price channel. Intra-Channel Trading: Traders are pushed away from the channel boundaries. There is too high a probability that the price will move inside the channel and push off from its borders. Therefore, it makes sense to sell when the price reaches the upper limit, and buy when it reaches the lower limit. Trading on breakouts You need to understand that any channel, depending on the time, will be broken - and at this time there will be a strong price movement, on which the trader can make a big profit. It is convenient to use pending orders placed above the channel border for trading on a breakout. As soon as the price breaks through the channel boundary and reaches the pending order, it is triggered automatically. Let's summarize: Price channels are an excellent basis for trading strategies, as they are based on support and resistance lines. All channels end with a breakdown depending on the time, so you should not trade without a stop loss when trading inside the channel. You should not perceive the boundaries of the channel as something indestructible. The price can easily skip the channel boundary or, conversely, make a false breakthrough. You can trade inside or outside the channel, and both strategies can be combined. And most importantly : technical analysis will allow you to always stay on the right side of the market! Regards! R.Linda!
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Reminescence of a Scam Operator (ANTI SCAMMER GUIDE)Reminiscent of the roaring 1920s, the 2020 epidemic and the inability to work for many people brought an influx of new retail investors to the public market. Furthermore, the FED's decision to prop up the market by dropping interest rates combined with stimulus checks handed out by the U.S. government lured in even more investors who were hungry for profits. Although the market sensation also brought a rise of omnipresent scams across all trading platforms. Lack of workforce, sophisticated methods, and automated bots often play into the hands of perpetrators who try to get ahead of the platform and its users. Therefore, we decided to write this concise article with the purpose of helping new investors to recognize good apples from bad ones. The most common means of communication for criminals is to use private chat, public chat, comments, ideas, and headline references. Several examples of red flags are shown below. RED FLAGS AND OTHER POINTS: Asking for personal information and TradingView account information One common tactic criminals use to exploit their victims is to ask for personal information or account information (login and password). This information should not be disclosed to anyone, including someone claiming to be a platform's employee/support (as these people tend to have access to this information). Asking for trading account information Another standard method bad actors use is asking for trading account information. On such occasions, a perpetrator asks for existing account information or requests a victim to create a new account; then, a perpetrator usually asks the victim to invest money into the account and let them use it in return for shared profits. False promises The third point probably accompanies every other point on our list. This point relates mainly to false promises about trading achievements, which often include statements about having a high win rate, high net worth, and an unbeatable trading system. Financial gurus and lavish lifestyles A high follower count and strong social media presence do not equal reliability. Perpetrators often portray lavish lifestyles across social media platforms to entice more people and trick them into buying a trading signal service or trading course (or any other service). The public image does not necessarily have to match a person's authentic lifestyle. Indeed, trading as a career is highly time-consuming and does not come with trading from a vicinity of a pool or ski resort; that is just public perception. Trading signals and trading courses Unfortunately, most of the time, trading signal services (for buy) lack performance and do not consider subscribers' risk tolerance and account sizes. In regard to trading courses, we hold a similarly low opinion of them as we think learning a skill to trade goes far beyond a few hours of any trading course. Unrealistic win-rate claims Most brokerages report that their retail clients lose about 50-90% of the initial capital, especially when trading CFDs. Therefore, we would like to put in perspective how realistic claims about a high win rate really are. Professional traders tend to peak at approximately a 50% win-rate over a consistent period. Thus, claims about a 90% or higher win rate are likely to be false. Guaranteed moves and risk-free investments Another tactic of scamming utilizes guaranteeing moves in the market. However, there is nothing like a guaranteed move since the market constantly changes and is influenced by complex factors. These are just few points we included, however, we ask a public to share their own points in the comment section. DISCLAIMER: This content serves solely educational purposes.
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Strength of Divergence Across Multiple IndicatorsOverview: One-stop shop for all your divergence needs, including: (1) A single metric for divergence strength across multiple indicators. (2) Labels that make it easy to spot where the truly strong divergence is by showing the overall divergence strength value along with the number of divergent indicators. Hovering over the label shows a breakdown of each divergent indicator and its individual divergence strength value. (3) Fully customizable, including inputs for pivot lengths, divergence types, and weights for every component of the divergence strength calculation. This allows you to quickly and easily optimize the output for any chart. Don't worry, the default settings will have you covered if you're not interested in what's going on under the hood. The Divergence Strength Calculation: The total divergence strength value is the sum of the divergence strengths of all indicators for which divergence was detected at a given bar. Each indicator's individual divergence strength is comprised of two basic components: (1) |ΔPrice| - the magnitude of the change in price over the divergence period (pivot-to-pivot), and (2) |ΔIndicator| - the magnitude of the change in indicator value over the divergence period. Because different indicators' scales and volatility can vary greatly, the Δ values are expressed in terms of standard deviation to ensure that the values are meaningful and equitable across all indicators and assets/instruments/currency pairs, etc: |ΔIndicator| = |indicator_value_1 - indicator_value_2| / 2 * StDev(indicator_series,100) Calculation Weights: All components of the calculation are weighted and can be modified on the Inputs page in settings (weights are simply multipliers). For example, if you think hidden divergence should carry less weight than regular divergence, you can assign it a lesser weight. Or if you think RSI divergence is worth more than OBV divergence, you can adjust their weights accordingly. List of weights: Regular divergence weight - default = 1 Hidden divergence weight - default = 1 ΔPrice weight - default = 0.5 (multiplied by the ΔPrice component) ΔIndicator weight - default = 1.5 (multiplied by the ΔIndicator component) RSI weight - default = 1.1 OBV weight - default = 0.8 MACD weight - default = 0.9 STOCH weight - default = 0.9 Development for additional indicators is ongoing, as is research into the optimal weight configuration(s). Other Inputs: Pivot lengths - specify the number of bars before and after each pivot high/low to consider it a valid candidate for divergence. Lookback bars and Lookback pivots - specify the number of bars or the number of pivots to look back across. Price sources - specify separate price sources for bullish and bearish divergence Display settings - specify how lines and labels should display, including which divergence strength values should show the largest labels. Include/exclude specific divergence types and indicators. Please report any bugs, or let me know if you have any enhancement suggestions or requests for additional indicators. @reees
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RSI Past Can Turn RSI Into a Directional ToolThe Relative Strength Index was created by J. Welles Wilder to measure overbought and oversold conditions. It’s also found popularity as an overall measure of direction because upward-trending stocks often hit overbought conditions. The opposite can be true with underperformers. Today’s custom script, RSI Past, attempts to capture this secondary use of RSI as a directional indicator. RSI Past achieves this by comparing how many bars have passed since RSI's most recent overbought and oversold readings. It then plots a simple difference between those two numbers. Stocks with “bullish” signals will have positive readings that will increase each time RSI hits an overbought condition. “Bearish” readings are just the opposite, growing more negative as oversold conditions occur. An examination of some individual stocks may show the usefulness of this approach. Meta Platforms , for example, hit an oversold condition almost exactly one year ago, and has remained under heavy selling pressure since: Exxon Mobil , on the other hand, flipped to a bullish reading last October and has trended higher since: This raises some interesting questions for Apple, shown on the main chart above. AAPL’s RSI Past has maintained a bullish reading for over a year -- unlike most other big technology stocks and the broader Nasdaq-100. Could this reflect bigger directional strength, especially with prices holding the $150 level that’s had relevance several times mid-2021? TradeStation has, for decades, advanced the trading industry, providing access to stocks, options, futures and cryptocurrencies. See our Overview for more. Important Information TradeStation Securities, Inc., TradeStation Crypto, Inc., and TradeStation Technologies, Inc. are each wholly owned subsidiaries of TradeStation Group, Inc., all operating, and providing products and services, under the TradeStation brand and trademark. You Can Trade, Inc. is also a wholly owned subsidiary of TradeStation Group, Inc., operating under its own brand and trademarks. TradeStation Crypto, Inc. offers to self-directed investors and traders cryptocurrency brokerage services. It is neither licensed with the SEC or the CFTC nor is it a Member of NFA. When applying for, or purchasing, accounts, subscriptions, products, and services, it is important that you know which company you will be dealing with. Please click here for further important information explaining what this means. This content is for informational and educational purposes only. This is not a recommendation regarding any investment or investment strategy. Any opinions expressed herein are those of the author and do not represent the views or opinions of TradeStation or any of its affiliates. Investing involves risks. Past performance, whether actual or indicated by historical tests of strategies, is no guarantee of future performance or success. There is a possibility that you may sustain a loss equal to or greater than your entire investment regardless of which asset class you trade (equities, options, futures, or digital assets); therefore, you should not invest or risk money that you cannot afford to lose. Before trading any asset class, first read the relevant risk disclosure statements on the Important Documents page, found here: www.tradestation.com .
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ABC 123 Harmonic Ratio Custom Range Interactive█ OVERVIEW This indicator was designed based on Harmonic Trading : Volume One written by Scott Carney. This is about harmonic ratios which expanded through retracement and projection. Derivation is pretty much explained here such as Primary, Primary Derivation, Secondary Derivation and Secondary Derivation Extreme. Derivation value depends on minimum retracement or maximum projection. This derivation value utilize Fibonacci value which later expand to Harmonic Ratio. █ INSPIRATION Inspired by design, code and usage of CAGR . Basic usage of custom range / interactive, pretty much explained here . Credits to TradingView. This build is based and visualized upon Harmonic Trading Ratios. This build also was stripped down from XABCD Harmonic Pattern Custom Range Interactive . █ CREDITS Scott Carney, Harmonic Trading : Volume One (Page 18) █ FEATURES Table can positioned by any position and font size can be resized. Labels can be either changed to alphabets or numbers. █ HOW TO USE Draw points from Point A to Point C. Dont worry about magnet, point will attached depends on High or Low of the candle. █ USAGE / TIPS EXAMPLES (Description explained in each image)
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Pine Script™ indicator
3
Machine Learning: kNN (New Approach)Description: kNN is a very robust and simple method for data classification and prediction. It is very effective if the training data is large. However, it is distinguished by difficulty at determining its main parameter, K (a number of nearest neighbors), beforehand. The computation cost is also quite high because we need to compute distance of each instance to all training samples. Nevertheless, in algorithmic trading KNN is reported to perform on a par with such techniques as SVM and Random Forest. It is also widely used in the area of data science. The input data is just a long series of prices over time without any particular features. The value to be predicted is just the next bar's price. The way that this problem is solved for both nearest neighbor techniques and for some other types of prediction algorithms is to create training records by taking, for instance, 10 consecutive prices and using the first 9 as predictor values and the 10th as the prediction value. Doing this way, given 100 data points in your time series you could create 10 different training records. It's possible to create even more training records than 10 by creating a new record starting at every data point. For instance, you could take the first 10 data points and create a record. Then you could take the 10 consecutive data points starting at the second data point, the 10 consecutive data points starting at the third data point, etc. By default, shown are only 10 initial data points as predictor values and the 6th as the prediction value. Here is a step-by-step workthrough on how to compute K nearest neighbors (KNN) algorithm for quantitative data: 1. Determine parameter K = number of nearest neighbors. 2. Calculate the distance between the instance and all the training samples. As we are dealing with one-dimensional distance, we simply take absolute value from the instance to value of x (| x – v |). 3. Rank the distance and determine nearest neighbors based on the K'th minimum distance. 4. Gather the values of the nearest neighbors. 5. Use average of nearest neighbors as the prediction value of the instance. The original logic of the algorithm was slightly modified, and as a result at approx. N=17 the resulting curve nicely approximates that of the sma(20). See the description below. Beside the sma-like MA this algorithm also gives you a hint on the direction of the next bar move.
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Pine Script™ indicator
18
Delta Volume Channels [LucF]█  OVERVIEW This indicator displays on-chart visuals aimed at making the most of delta ​volume information. It can color bars and display two channels: one for delta ​volume, another calculated from the price levels of bars where delta ​volume divergences occur. Markers and alerts can also be configured using key conditions, and filtered in many different ways. The indicator caters to traders who prefer chart visuals over raw values. It will work on historical bars and in real time, using intrabar analysis to calculate delta ​volume in both conditions. █  CONCEPTS Delta Volume ​The ​volume delta concept divides a bar's ​volume in "up" and "down" ​volumes. The delta is calculated by subtracting down ​volume from up ​volume. Many calculation techniques exist to isolate up and down ​volume within a bar. The simplest techniques use the polarity of interbar price changes to assign their ​volume to up or down slots, e.g., On Balance Volume or the Klinger Oscillator . Others such as Chaikin Money Flow use assumptions based on a bar's OHLC values. The most precise calculation method uses tick data and assigns the ​volume of each tick to the up or down slot depending on whether the transaction occurs at the bid or ask price. While this technique is ideal, it requires huge amounts of data on historical bars, which usually limits the historical depth of charts and the number of symbols for which tick data is available. This indicator uses intrabar analysis to achieve a compromise between the simplest and most precise methods of calculating ​volume delta. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate ​volume delta on historical bars on our charts. TradingView's Volume Profile and CVD - Cumulative ​Volume Delta Candles indicators use it. Other ​volume delta indicators such as my Realtime 5D Profile use realtime chart updates to achieve more precise ​volume delta calculations. Indicators of that type cannot be used on historical bars however; they only work in real time. This is the logic I use to assign intrabar ​volume to up or down slots:  • If the intrabar's open and close values are different, their relative position is used.  • If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.  • As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used. Once all intrabars making up a chart bar have been analyzed and the up or down property of each intrabar's ​volume determined, the up volumes are added and the down volumes subtracted. The resulting value is ​volume delta for that chart bar, which can be used as an estimate of the buying/selling pressure on an instrument. Delta ​Volume Percent (DV%) This value is the proportion that delta ​volume represents of the total intrabar ​volume in the chart bar. Note that on some symbols/timeframes, the total intrabar ​volume may differ from the chart's ​volume for a bar, but that will not affect our calculations since we use the total intrabar ​volume. Delta ​Volume Channel The ​​DV channel is the space between two moving averages: the reference line and a DV%-weighted version of that reference. The reference line is a moving average of a type, source and length which you select. The DV%-weighted line uses the same settings, but it averages the DV%-weighted price source. The weight applied to the source of the reference line is calculated from two values, which are multiplied: DV% and the relative size of the bar's ​volume in relation to previous bars. The effect of this is that DV% values on bars with higher total ​volume will carry greater weight than those with lesser ​volume. The ​DV channel can be in one of four states, each having its corresponding color:  • Bull (teal): The DV%-weighted line is above the reference line.  • Strong bull (lime): The bull condition is fulfilled and the bar's close is above the reference line and both the reference and the DV%-weighted lines are rising.  • Bear (maroon): The DV%-weighted line is below the reference line.  • Strong bear (pink): The bear condition is fulfilled and the bar's close is below the reference line and both the reference and the DV%-weighted lines are falling. Divergences In the context of this indicator, a divergence is any bar where the slope of the reference line does not match that of the DV%-weighted line. No directional bias is assigned to divergences when they occur. Divergence Channel The divergence channel is the space between two levels (by default, the bar's low and high ) saved when divergences occur. When price has breached a channel and a new divergence occurs, a new channel is created. Until that new channel is breached, bars where additional divergences occur will expand the channel's levels if the bar's price points are outside the channel. Prices breaches of the divergence channel will change its state. Divergence channels can be in one of five different states:  • Bull (teal): Price has breached the channel to the upside.  • Strong bull (lime): The bull condition is fulfilled and the ​DV channel is in the strong bull state.  • Bear (maroon): Price has breached the channel to the downside.  • Strong bear (pink): The bear condition is fulfilled and the ​DV channel is in the strong bear state.  • Neutral (gray): The channel has not been breached. █  HOW TO USE THE INDICATOR Load the indicator on an active chart (see here if you don't know how). The default configuration displays:  • The ​DV channel, without the reference or DV%-weighted lines.  • The Divergence channel, without its level lines.  • Bar colors using the state of the ​DV channel. The default settings use an Arnaud-Legoux moving average on the close and a length of 20 bars. The DV%-weighted version of it uses a combination of DV% and relative ​volume to calculate the ultimate weight applied to the reference. The DV%-weighted line is capped to 5 standard deviations of the reference. The lower timeframe used to access intrabars automatically adjusts to the chart's timeframe and achieves optimal balance between the number of intrabars inspected in each chart bar, and the number of chart bars covered by the script's calculations. The Divergence channel's levels are determined using the high and low of the bars where divergences occur. Breaches of the channel require a bar's low to move above the top of the channel, and the bar's high to move below the channel's bottom. No markers appear on the chart; if you want to create alerts from this script, you will need first to define the conditions that will trigger the markers, then create the alert, which will trigger on those same conditions. To learn more about how to use this indicator, you must understand the concepts it uses and the information it displays, which requires reading this description. There are no videos to explain it. █  FEATURES The script's inputs are divided into four sections: "DV channel", "Divergence channel", "Visuals" and "Marker/Alert Conditions". DV Channel Here, you specify what you want to use as a reference line: its MA type, source and length. This is the ​DV channel's baseline. The DV%-weighted line will use the same settings, except that it will be calculated from the DV%-weighted source. By default, the DV%-weighted line is capped to five standard deviations of the reference line. You can change that value here. This section is also where you can disable the relative ​volume component of the weight, and choose the selection mode of the lower timeframe used to access intrabars. Divergence Channel This is where you configure the key price values to use in determining the channel's levels and breaching conditions. These choices have an impact on the behavior of the channel. More generous level prices like the default low and high selection will produce more conservative channels, as will the default choice for breach prices. In this section, you can also enable a mode where an attempt is made to estimate the channel's bias before price breaches the channel. When it is enabled, successive increases/decreases of the channel's top and bottom levels are counted as new divergences occur. When one count is greater than the other, a bull/bear bias is inferred from it. Visuals You can control here the display and appearance of most of the script's visuals: the reference line, the DV%-weighted line, the ​DV channel, the divergence channels and its levels, bar colors, a divergence mark, the color of markers and the information box which by default appears in the lower left of the chart. Marker/Alert Conditions Here, you specify the conditions that will trigger up or down markers. The trigger conditions can include a combination of state transitions of the ​DV and the divergence channels. The triggering conditions can be filtered using a variety of conditions. Configuring the marker conditions is necessary before creating an alert from this script, as the alert will use the marker conditions to trigger. Markers only appear on bar closes, so they will not repaint. Keep in mind, when looking at markers on historical bars, that they are positioned on the bar when it closes — NOT when it opens. Raw values The raw values calculated by this script can be inspected using a tooltip and the Data Window. The tooltip is visible when you hover over the top of chart bars. It will display on the last 500 bars of the chart, and shows the values of ​DV, DV%, the combined weight, and the intermediary values used to calculate them. █  INTERPRETATION The aim of the ​DV channel is to provide a visual representation of the buying/selling pressure calculated using delta ​volume. The simplest characteristic of the channel is its bull/bear state. One can then distinguish between its bull and strong bull states, as transitions from strong bull to bull states will generally happen when buyers are losing steam. While one should not infer a reversal from such transitions, they can be a good place to tighten stops. Only time will tell if a reversal will occur. One or more divergences will often occur before reversals. The nature of the divergence channel's design makes it particularly adept at identifying consolidation areas if its settings are kept on the conservative side. A gray divergence channel should usually be considered a no-trade zone. More adventurous traders can use the ​DV channel to orient their trade entries if they accept the risk of trading in a neutral divergence channel, which by definition will not have been breached by price. If your charts are already busy with other stuff you want to hold on to, you could consider using only the chart bar coloring component of this indicator: At its simplest, one way to use this indicator would be to look for overlaps of the strong bull/bear colors in both the ​DV channel and a divergence channel, as these identify points where price is breaching the divergence channel when buy/sell pressure is consistent with the direction of the breach. I have highlighted all those points in the chart below. Not all of them would have produced profitable trades, but nothing is perfect in the markets. Also, keep in mind that the circles identify the visual you would be looking for — not the trade's entry level. █  LIMITATIONS  • Because this script uses intrabars at a lower timeframe than the chart's, its realtime values will only update when a new intrabar completes.   You can see which lower timeframe is used in the script's information box.  • The script will not work on symbols where no ​volume is available. An error will appear when that is the case.  • Because a maximum of 100K intrabars can be analyzed by a script, a compromise is necessary between the number of intrabars analyzed per chart bar   and chart coverage. The more intrabars you analyze per chart bar, the less coverage you will obtain.   The setting of the "Intrabar precision" field in the "DV channel" section of the script's inputs   is where you control how the lower timeframe is calculated from the chart's timeframe. █  NOTES Volume Quality If you use ​volume, it's important to understand its nature and quality, as it varies with sectors and instruments. My Volume X-ray indicator is one way you can appraise the quality of an instrument's intraday ​volume. For Pine Script™ Coders  • This script uses the new overload of the fill() function which now makes it possible to do vertical gradients in Pine. I use it for both channels displayed by this script.  • I use the new arguments for plot() 's `display` parameter to control where the script plots some of its values,   namely those I only want to appear in the script's status line and in the Data Window.  • I wrote my script using the revised recommendations in the Style Guide from the Pine v5 User Manual. █  THANKS To PineCoders . I have used their lower_tf library in this script, to manage the calculation of the LTF and intrabar stats, and their Time library to convert a timeframe in seconds to a printable form for its display in the Information box. To TradingView's Pine Script™ team. Their innovations and improvements, big and small, constantly expand the boundaries of the language. What this script does would not have been possible just a few months back. And finally, thanks to all the users of my scripts who take the time to comment on my publications and suggest improvements. I do not reply to all but I do read your comments and do my best to implement your suggestions with the limited time that I have.
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Pine Script™ indicator
17
HSV and HSL gradient Tools ( Built-in Drop-in replacement )Library "hsvColor" HSV and HSL Gradient Tool Alternatives and helpers. Demo'd is built-in in the middle with HSL/HSV gradients on top/bottom TODO: Solve for #000000 issue rgbhsv(_col)   RGB Color to HSV Values   Parameters:      _col : Color input (#abc012 or color.name or color.rgb(0,0,0,0))   Returns: values rgbhsv(_r, _g, _b, _t)   RGB Color to HSV Values   Parameters:      _r : Red 0 - 255      _g : Green 0 - 255      _b : Blue 0 - 255      _t : Transp 0 - 100   Returns: values hsv(_h, _s, _v, _a)   HSV colors, Auto fix if past boundaries   Parameters:      _h : Hue Input (-360 - 360) or further      _s : Saturation 0.- 1.      _v : Value 0.- 1.      _a : Alpha 0.- 1.   Returns: Color output hue(_col)   returns 0-359 hue on color wheel   Parameters:      _col :   Returns: 360 degree hue value hsv_gradient(signal, _startVal, _endVal, _startCol, _endCol)   Color Gradient Replacement Function for HSV calculated Gradents   Parameters:      signal : Control signal      _startVal : start color limit      _endVal : end color limit      _startCol : start color      _endCol : end color   Returns: HSV calculated gradient hsl_gradient(signal, _startVal, _endVal, _startCol, _endCol)   Color Gradient Replacement Function for HSV calculated Gradents   Parameters:      signal : Control signal      _startVal : start color limit      _endVal : end color limit      _startCol : start color      _endCol : end color   Returns: HSV calculated gradient
Editors' picks
Pine Script™ library
9
Realtime TPO ProfileHello! This indicator comprises a real time TPO Market Profile! The script works on any timeframe 1 minute or greater - the script calculates relative to the timeframe selected for your chart. The image above shows the 1-minute BTCUSD chart; 650 +/- tick levels are set. To see the script in full functionality - try using bar replay on a cryptocurrency 1-minute chart (start at the beginning of a regular hours session). Be sure to adjust the tick spread if necessary (: So far, the script's held up in real time - I've not had any array loop errors or timeouts. The TPO profile updates accordingly with changes in time / high and low prices. Letters are appended to the profile in real time. The image above shows configurations for the indicator. I plan to update the indicator quite a bit over the coming days - more to come. You can select the timeframe change the indicator accounts for. For instance, you can have set the indicator to reset every day, every 30 minutes, every 5 minutes, every week, month, etc. In the image above, I configured the indicator to recalculate every 3 months. Consequently, the indicator will record a TPO profile for three consecutive, reset, then record a TPO profile for the next 3 months. This setting makes the indicator compatible with any timeframe greater than 1 minute. You can also use a drag & drop time-start bar to modify the starting point for the market profile TPO calculation. The image above shows an arbitrarily selected start time to begin the market profile TPO calculation. The indicator hosts an option to auto calculate the tick spread between levels. However, as you switch timeframes and assets, sometimes, you'll have to manually set the tick range (: Thanks for checking it out; more to come!
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Pine Script™ indicator
44
STD-Filtered, N-Pole Gaussian Filter [Loxx]This is a Gaussian Filter with Standard Deviation Filtering that works for orders (poles) higher than the usual 4 poles that was originally available in Ehlers Gaussian Filter formulas. Because of that, it is a sort of generalized Gaussian filter that can calculate arbitrary (order) pole Gaussian Filter and which makes it a sort of a unique indicator. For this implementation, the practical mathematical maximum is 15 poles after which the precision of calculation is useless--the coefficients for levels above 15 poles are so high that the precision loss actually means very little. Despite this maximal precision utility, I've left the upper bound of poles open-ended so you can try poles of order 15 and above yourself. The default is set to 5 poles which is 1 pole greater than the normal maximum of 4 poles. The purpose of the standard deviation filter is to filter out noise by and by default it will filter 1 standard deviation. Adjust this number and the filter selections (price, both, GMA, none) to reduce the signal noise. What is Ehlers Gaussian filter? This filter can be used for smoothing. It rejects high frequencies (fast movements) better than an EMA and has lower lag. published by John F. Ehlers in "Rocket Science For Traders". A Gaussian filter is one whose transfer response is described by the familiar Gaussian bell-shaped curve. In the case of low-pass filters, only the upper half of the curve describes the filter. The use of gaussian filters is a move toward achieving the dual goal of reducing lag and reducing the lag of high-frequency components relative to the lag of lower-frequency components. A gaussian filter with... One Pole: f = alpha*g + (1-alpha)f Two Poles: f = alpha*2g + 2(1-alpha)f - (1-alpha)2f Three Poles: f = alpha*3g + 3(1-alpha)f - 3(1-alpha)2f + (1-alpha)3f Four Poles: f = alpha*4g + 4(1-alpha)f - 6(1-alpha)2f + 4(1-alpha)3f - (1-alpha)4f and so on... For an equivalent number of poles the lag of a Gaussian is about half the lag of a Butterworth filters: Lag = N*P / pi^2, where, N is the number of poles, and P is the critical period Special initialization of filter stages ensures proper working in scans with as few bars as possible. From Ehlers Book: "The first objective of using smoothers is to eliminate or reduce the undesired high-frequency components in the eprice data. Therefore these smoothers are called low-pass filters, and they all work by some form of averaging. Butterworth low-pass filters can do this job, but nothing comes for free. A higher degree of filtering is necessarily accompanied by a larger amount of lag. We have come to see that is a fact of life." References John F. Ehlers: "Rocket Science For Traders, Digital Signal Processing Applications", Chapter 15: "Infinite Impulse Response Filters" Included Loxx's Expanded Source Types Signals Alerts Bar coloring Related indicators STD-Filtered, Gaussian Moving Average (GMA) STD-Filtered, Gaussian-Kernel-Weighted Moving Average One-Sided Gaussian Filter w/ Channels Fisher Transform w/ Dynamic Zones R-sqrd Adapt. Fisher Transform w/ D. Zones & Divs .
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Pine Script™ indicator
17
Portfolio PerformanceThis indicators will help you to compute portfolio performance and display results with a stats table and a nice monthly chart. In this script you can do following: Compose portfolio with up to 15 instruments Change Initial capital / date range / rebalancing period Compare portfolio performance with a benchmark Compute basic stats Compute instruments contribution Display monthly performance of portfolio and benchmark Change style for almost everything you see on your chart Hope it will be useful for you! Thanks to @MUQWISHI for helping me coding it. Disclaimer Please remember that past performance may not be indicative of future results. Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting. This post and the script don’t provide any financial advice.
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Pine Script™ indicator
5
Weighted percentile nearest rankYo, posting it for the whole internet, took the whole day to find / to design the actual working solution for weighted percentile 'nearest rank' algorithm, almost no reliable info online and a lot of library-style/textbook-style solutions that don't provide on real world production level. The principle: 0) initial data data = 22, 33, 11, 44, 55 weights = 5 , 3 , 2 , 1 , 4 array(s) size = 5 1) sort data array, apply the sorting pattern to the weights array, resulting: data = 11, 22, 33, 44, 55 weights = 2 , 5 , 3 , 1 , 4 2) get weights cumsum and sum: weights = 2, 5, 3 , 1 , 4 weights_cum = 2, 7, 10, 11, 15 weights_sum = 15 3) say we wanna find 50th percentile, get a threshold value: n = 50 thres = weights_sum / 100 * n 7.5 = 15 / 100 * 50 4) iterate through weights_cum until you find a value that >= the threshold: for i = 0 to size - 1 2 >= 7.5 ? nah 7 >= 7.5 ? nah 10 >= 7.5 ? aye 5) take the iteration index that resulted "aye", and find the data value with the same index, that's gonna be the resulting percentile. i = 2 data = 33 This one is not an approximation, not an estimator, it's the actual weighted percentile nearest rank as it is. I tested the thing extensively and it works perfectly. For the skeptics, check lines 40, 41, 69 in the code, you can comment/uncomment dem to switch for unit (1) weights, resulting in the usual non-weighted percentile nearest rank that ideally matches the TV's built-in function. Shoutout for @wallneradam for the sorting function mane ... Live Long and Prosper
Editors' picks
Pine Script™ indicator
37

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How to create fully customisable alerts in pinescriptHi All, As discussed in the video, below are the steps to define fully customisable alert templates and alerts in pine script. This is a generic idea which can be implemented for any script. Step 1. What all parameters(keys) need to be sent in alerts. Step 2. Create a default alert template Step 3. Create a user input where users can alter the default alert template Step 4. Define your alert condition. Step 5. Calculate the values for all the keys Step 6. In the template, replace all keys with values and send alert Sample script developed during the video. //@version=5 indicator("Fully Customizable Alerts", overlay=true) import HeWhoMustNotBeNamed/RecursiveAlerts/2 as ra //Step 1. What all parameters(keys) need to be sent in alerts. keys = array.from("{entry}", "{stop}", "{target1}", "{target2}") //Step 2. Create a default alert template template = '{ \t"entry" : {entry}, \t"stop" : {stop}, \t"target1" : {target1}, \t"target2" : {target2} }' //Step 3. Create a user input where users can alter the default alert template inputTemplate = input.text_area(template, 'Alert Template') //Step 4. Define your alert condition. ma = ta.sma(close, 20) condition = ta.crossover(close, ma) atr = ta.atr(14) if(condition) //Step 5. Calculate the values for all the keys entry = high + atr stop = low - atr risk = entry - stop target1 = entry + risk target2 = entry + 2*risk //Step 6. In the template, replace all keys with values and send alert values = array.from(str .tostring(entry), str .tostring(stop), str .tostring(target1), str .tostring(target2)) alertMessage = ra.updateAlertTemplate(inputTemplate, keys, values) alert(alertMessage, alert.freq_once_per_bar) plot(ma, "Moving Average")
Education
6
📉BTC📈 - MOST IMPORTANT Zone to Watch Now 👀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. 👩🏫 Bitcoin has been extremely volatile lately, jumping from $18K to $20K and back again in only a day. This is where lots of positions get shaken out and I would be EXTREMELY cautious to trade leverage now. A quick look at the technical analysis - using the technical indicator Phoenix Ascending. This includes momentum , EMA , RSI and LSMA . With the Red RSI leaning towards the lower side, it seems the most probable to head lower for the short term. The LSMA is also bearish. From a candlestick analysis, it is important to close above the support zone . If we close UNDER the support zone , this means trouble and probably more bearish price action. We see high volume on the red candles, this indicates that lot's of people are willing to sell at this zone. Interested in an altcoin with massive upside potential? Check out this fractal on OMGUSDT : _______________________ 📢Follow us here on TradingView for daily updates and trade ideas on crypto , stocks and commodities 💎Hit like & Follow 👍 We thank you for your support ! CryptoCheck
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