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Editors' picks

The moment of truth is upon us, BTC's huge potentialThis week things are very simple and the stakes are very high. In every significant timeframe, you can see how BTC is at a pivotal point but none other than the 1-week time frame gives us a better view. In this time frame alone you can see Bitcoin price having to overcome the 50MA (yellow wavy line), the 200MA (white wavy line), long-time support (thick straight white line), and midterm resistance (Thin straight white line). So what are we looking for? BTC has to jump up and close above all of these obstacles in a decisive way, anything less than that will signal weakness. Exactly what do I mean by decisive? BTC needs to have a very good week (long green candle) this or next at the very latest and close at 28k or 27k. As of right now 1 of the 4 obstacles has been conquered -- the midterm resistance, which is the weakest. Keep watching this timeframe. Hit and follow and I will post more. There's so much to unpack in this timeframe alone: The 200MA (white wavy line) has been for many years support to BTC but it was lost back in June 2022. The 200MA (white wavy line) and 50MA (yellow line) are going to make a death cross unless BTC pulls up. The thick white straight line was strong support and was lost back in September 2022, now it is strong resistance This is as hard as it gets for BTC. If it goes over decisively and it starts to close above I will be convinced of a recovery. This chart I call lines only, it has made me a lot of money due to its reliability. Candles can create a lot of noise and make a chart look too busy so I created a chart with simplicity and reliability. How does it work? When all color lines cross under the white line it's lights out and we are going down for a while and when all lines have crossed above the white line it's all good times. As you can see so far it looks like good times are ahead but I do not make a move on short-term trades unless all lines have crossed. VERY IMPORTANT: Hitting the "Like" button is like a tip, please don't forget to do so after reading, this is your way of thanking me for my time and so I thank you for yours.
Editors' picks
20
BITCOIN The month is closing on an enormous buy signalWe only look at Bitcoin (BTCUSD) on the monthly time-frame when it is necessary to keep a long-term perspective and not miss the big picture. This is one of those times as the monthly (1M) candle, following January's hyper strong rise and impressive start to the year, is now testing the 1M MA50 (blue trend-line). This is a critical Resistance and last time BTC closed above it was on July 2022. Needless to say, a close above it will be a massive buy signal. The true catalyst though may be the 1M RSI. As you see it is also testing its MA trend-line (yellow), having been trading below it since May 2022. The real interesting fact here is that every time the 1M RSI broke above its MA, Bitcoin was well past its bottom and trading on its new Bull Cycle. An astonishing feat is that the time range between those RSI monthly break-outs is quite similar, 39 months then 42 months and if it closes above it now, then 45 months. We can say that each sequence is 3 months longer. On top of that, the 1M candles that made those break-outs are not far off in terms of rises, each representing very strong monthly closings (+47%, +33%, +33% and now +40%). Based on all the above, it appears that the market is on the verge of breaking out to a new multi-month rally. Do you agree? Feel free to let me know in the comments section below! ------------------------------------------------------------------------------- ** Please LIKE 👍, FOLLOW ✅, SHARE 🙌 and COMMENT ✍ if you enjoy this idea! Also share your ideas and charts in the comments section below! This is best way to keep it relevant, support me, keep the content here free and allow the idea to reach as many people as possible. ** ------------------------------------------------------------------------------- 💸💸💸💸💸💸 👇 👇 👇 👇 👇 👇
Editors' picks
Long
29
SPX: A Dangerous Resistance. 👀• The SPX is correcting today, back to its 21 ema in the 1h chart, as usual; • In the daily chart, there’s still some upside left, as we have yet to retest the 4,100 area, but the index is quite far from its 21 ema in this time frame; • If it loses the 21 ema in the 1h chart, or does a clear bearish structure, then it might correct to the 21 ema in the daily chart, around the 3,800; • As long as the trend remains bullish in the 1h chart, hardly a sharper correction will materialize; • Therefore, let’s pay attention to the 21 ema (1h), and on how the index will react from here, as it is near the resistance at 4,100; • So far, no clear top sign. I’ll keep you updated on this, as usual. Remember to follow me to keep in touch with my daily analyses!
Editors' picks
12
All Declines Are Not EqualIt is pertinent to remember that there are always stocks to sell into rising markets and stocks to buy into falling markets. Even in a general market correction it is important to distinguish that all declines are not equal under the surface. By that we mean that while prices may all head in a southern direction, what is important is the point from which that decline began in the more structural price pattern of each individual stock. In other words, we seek to identify what the individual price patterns technically signify in the supply and demand factors underlying the decline. In the past, we have characterized declines in three distinct patterns (Fig 1). Figure 1: Chart Pattern A (Figure 2) for educational examples): Declines that may occur within the framework of a structural uptrend in a stock. This pattern would imply that the stock had emerged from a base, or from a secondary consolidation within an uptrend and has declined, or may decline, back toward (or into) that congestion area that now represents support (or an area of demand) for the stock; or pull back within an extended uptrend to create a new area of congestion representing support. We would not expect stocks representative of this pattern technically to fall to new lows (although in any volatile environment, support levels can be temporarily breached). On balance, we would perceive these Chart A patterns to be among the market leaders, which could be bought into weakness with the longer-term trend in mind. Notice price uptrends, breakouts through multi-year resistance levels; perhaps a secondary resistance level and the Monthly MACDs on Buy signals (rising). Figure 2: Examples of Chart A: As an Educational Exercise FLEX, JBL, GFF, Monthly: Chart Pattern B (see Figure 3 for educational examples): Initial declines, which break below an established support level following an extended uptrend, frequently defining a “topping“ pattern (see arcs) and initiating a structural downtrend for the stock. The Monthly MACD has moved into a declining Sell signal (see red arrows) often with a negative divergence. Patterns of this type can be expected to fall to new lows, often following a kickback rally toward the broken support, now defined as resistance (offering an opportunity to sell into strength), and to underperform the market during weakness (go down more). This is the pattern to watch for with stocks and / or groups, to guard against a reversal of trend from positive to negative (from a trend of demand to one of supply). Some names that had continued to lift in uptrends during the initial markets’ decline through 2022 are now appearing vulnerable (see Figure 3 below). Figure 3. Examples of Chart B; As an Educational Exercise UNH, LHX, Monthly Chart Pattern C (see Figure 4 for educational examples): Secondary declines, generally occur in stocks that have experienced initial structural declines (Pattern B) in the recent past, and thereafter may have bounced into resistance (formerly support) where they encountered supply (selling) and have thereafter fallen back, sometimes establishing a trading range that is eventually penetrated once again to the downside, accompanied by a declining MACD, on a Sell signal; thus extending the structural decline already in place. New lows in price are generally established for the stock. Such stocks experience their own private corrections and bear markets, sometimes even under the surface of a rallying equity market, as well as into an overall declining market. By virtue of observing the differing characteristics of individual stock declines, one can utilize rallies to sell weaker names, but also utilize dips to accumulate stronger names, as evidenced by which of the three chart patterns a stock portrays. However, in a general market decline, whatever the pattern, one might still consider overall protective measures. Figure 4. Examples of Chart C: As an Educational Exercise AMZN, PYPL, Monthly. Louise Yamada CMT LYAdvisors LLC Shared content and posted charts are intended to be used for informational and educational purposes only. The CMT Association does not offer, and this information shall not be understood or construed as, financial advice or investment recommendations. The information provided is not a substitute for advice from an investment professional. The CMT Association does not accept liability for any financial loss or damage our audience may incur.
Editors' picks
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Playboy Stock Options trading - Rolling puts into sharesSummary: picking through the garbage to see if any value left for future. bankruptcy or big move in 5-10 years. Rolling short puts into stock for potential change based on new catalyst of joint venture. key concepts: Sizing- Having enough but not too much of an investment idea in a portfolio. Risk/reward- Assigning probabilities to various up and down scenarios. Choosing exposure based on opportunity. Expected returns- Factoring most likely outcomes of decisions and positions. Long options vs stock for example. Survivability- Choosing a trade structure or vehicle that allows ability to endure wild adverse moves. FATSO- 5 level of analysis acronym. F- fed not pivoting yet, but hints at easing and market likes that. A- accounting wise plby is beat up and priced for potential bankruptcy at low price/sales, price/book. T- Technical trend shows its still in downtrend, some volume accumulation, way below 200 day ma S- social sentiment, used to be popular meme stock, some young crowd still follows, did nfts so associated, low hype now 0- options view is still very volatile, high IV, stock price is so low that trading the options doesnt make much sense *stocks below 5$ are penny stocks, so many institutions cant even hold the shares if their mandates wont allow. warning: penny stocks are risky and will lose you money. this is not advice. you will lose money.
Editors' picks
Long
26
Tesla Analysis 26.01.2023Hello Traders, welcome to this free and educational analysis. I am going to explain where I think this asset is going to go over the next few days and weeks and where I would look for trading opportunities. If you have any questions or suggestions which asset I should analyse tomorrow, please leave a comment below. I will personally reply to every single comment! If you enjoyed this analysis, I would definitely appreciate it, if you smash that like button and maybe consider following my channel. Thank you for watching and I will see you tomorrow! You can also check out my previous analysis of this asset:
Editors' picks
47
Will Exxon march higher or perform a fake out?Since our previous post on Exxon Mobil, it has increased significantly in value against our expectations. Unfortunately, with the upcoming earnings, the stock might get an additional boost in price, which is already hovering near all-time highs. As a result, XOM breaking above $114.66 will force us to abandon our price target on the downside. However, even if a breakout occurs, we will continue to pay close attention to subsequent price action and monitor volume very closely. To support the idea of a fakeout, we would like to see a continual drop in volume accompanying price growth on the daily chart (just like on the monthly chart). As for the outlook beyond the short-term, we remain worried that ranging oil prices between $70 and $85 per barrel will threaten the well-being of this stock title. Furthermore, higher taxes on energy companies, economic slowdown, and oil down more than 35% since its 2022 peak will put pressure on further price increases. Illustration 1.01 Illustration 1.01 shows the hourly chart of XOM. The yellow arrow points to a technical glitch at NYSE, which saw multiple stock companies plunge and turn on circuit breakers. We can potentially discard this movement. Illustration 1.02 Illustration 1.02 displays the monthly chart of XOM. The red arrow indicates a continual decline in volume, which is a bearish technical development. Illustration 1.03 Illustration 1.03 shows the daily chart of XOM and the updated setup. Please feel free to express your ideas and thoughts in the comment section. DISCLAIMER: This analysis is not intended to encourage any buying or selling of any particular securities. Furthermore, it should not be a basis for taking any trade action by an individual investor. Therefore, your own due diligence is highly advised before entering a trade.
Editors' picks
43
SPX Triangle Will Break Soon but Which Way?Which Way Will the SPX Triangle Break? Consider All the Arguments Ever since the October 2022 lows, the S&P 500 SP:SPX has been consolidating especially when considered on larger time frames like daily and weekly. This consolidation has formed what is known as a triangle pattern (or symmetrical triangle). A triangle is a consolidation pattern that represents equilibrium in the balance between buyers and sellers. The range narrows and price action compresses until the consolidation ends. The Primary Chart above shows the current triangle that has formed. It is essentially a collision between a 3-month uptrend and a 13-month downtrend (lasting over a year since January 2022 highs). So long as price remains in this triangle, uncertainty about the intermediate term direction will likely remain. Many triangles have arisen this year, and each one has led to new lows. This one may as well, as the yield curves and macro data support this outcome. But price could whipsaw out the top of the triangle for a month or two before heading to lows. All possibilities remain on the table. For further discussion on the details of this triangle, please refer to the linked chart and post under Supplementary Chart A below. Supplementary Chart A 1. Arguments for Bear-Market Continuation and Further Declines to New Lows VIX has been trending lower to new lows. But this argument cuts both ways—it lies at multi-year support as well as the support zone for this entire bear market. It’s not a spot to be complacent. On the other hand, VIX could be forming a new seasonal range lower than the past few years. The downtrend in volatility must be respected until it breaks. But the break could be vicious and fast, occurring in a matter of hours / days. For now, VIX keeps failing right at the down TL from early October 2022 peaks. Supplementary Chart B (VIX) Consider the orange-colored down trendline from mid-October 2022 highs. Price continues to fail at that down TL. But price is also in the yellow rectangle, which is the major support / demand zone for volatility over the entire bear market to date. The pink uptrend line is a multi-year uptrend line where VIX has found support since 2017. SPX shows a daily bearish divergence on RSI. But no weekly divergences yet. Stochastics and another indicator (EFI) both show clear divergences on the daily. But sometimes triple divergences form. And sometimes, these divergences are erased with higher price action. Divergence create the conditions for a decline, they don’t guarantee one. And without weekly divergences yet, this minor daily divergence is too weak a signal to take to the bank. As of the December 2022 FOMC meeting, the Fed had not paused and it had not pivoted. In fact, the Fed remained hawkish, communicating a “higher for longer” message to markets. The FOMC’s published SEP (Summary of Economic Projections) showed that rates were forecasted to peak at 5.1% (on average) which was higher than its prior rate forecast of 4.6%. The Fed’s projections also showed that it expected no rate cuts throughout 2023. In other words, higher for longer, even if rate hikes were paused. Will the Fed’s messaging and policy from December 13, 2022, remain steadfast? If so, the markets will likely struggle to find a way higher unless they continue to completely disbelieve the Fed. Note that rate markets (and equity prices) are currently disagreeing with the Fed about rate cuts later this year. That all could change on February 1, 2023. Money supply has continued to shrink. Tom McClellan said to financial media recently that M2SL has been shrinking while GDP has been growing, and this has never happened—the ratio of M2/GDP has never been shrinking this fast. Note that there is a lag b/w M2 changes and the effects on markets. But M2 has been shrinking for a while now. Note that when M2 rises faster than GDP, this can fuel rallies a year later, but this is the opposite of that scenario. However, note that US Treasury Department maneuvering relating to the debt-ceiling crisis could hamper the Fed’s efforts to drain liquidity from markets. Other than its general effect on markets, this maneuvering is well beyond the scope of this article and the author’s knowledge. Consumer spending and corporate profits cannot hold up much longer given the leading economic indicators (PMIs, ISMs, Empire State Manufacturing Index, retail sales reports from December, mortgage applications, and housing data). But equity markets don’t seem convinced. Markets can remain irrational longer than traders can remain solvent. Gold on a ratio chart to SPX (GLD/SPX) is still outperforming. This is not an all-clear signal for equities, especially the blue-chip index of US stocks. Supplementary Chart B (GLD/SPX) Typically, a bear-market bottom / final low does not happen while yield curves remain inverted. One WS analyst stated unequivocally yesterday that 85% of the yield curves are currently inverted. According to that firm's indicators, if more than 55% of the yield curves are inverted, a recession always follows. But when? The timing is the tricky part especially for traders and investors. Bear markets can fool the vast majority. The 3m/10y curve has been inverted to levels not seen since 1981. The inversion has fallen deeper into negative territory than any other inversion on the data available on TradingView’s charts. The final bear-market low typically happens after the Fed has pivoted and cut rates for some time. And remember, when the Fed cuts, it’s not because the economic outlook and corporate earnings are bright. Rather, the Fed cuts because of deteriorated economic conditions, tanking earnings and earnings estimates, horrible employment numbers (a recession). Supplementary Chart C.1 (3m/10y) For further discussion on the 10y/3m yield curve, see the post linked here: Supplementary Chart C.2 Recent PMI data from SP Global was negative economically (US Manufacturing PMI at 46.7 while December was 46.2, and US Services PMI at 46.6 while December was at 44.7) though it moderated somewhat (slightly less negative) from the prior month’s data. “The US economy started 2023 on a disappointingly soft note with business activity contracting sharply again in January. It showed subdued customer demand and impact of high inflation on client spending. January data also indicated a “faster increase in cost burdens at private sector firms. Although well below the average rise seen over the prior two years, the rate of cost inflation quickened from December and was historically elevated.” The commentary by SP Global’s economist provided along with their recent PMI report noted that “not only has the survey indicated a downturn in economic activity at the start of the year, but the rate of input cost inflation as accelerated into the new year, linked in part to upward wage pressures, which could encourage a further aggressive tightening of Fed policy despite rising recession risks.” This suggests that even if inflation has peaked, it may not be heading to the 2% target as fast as it moved down from the peak to the current levels. And it implies that stagflation may be around the corner as economic growth slows but sticky inflation does not dissipate. Major past selloffs in markets have been preceded by a very low unemployment (UE) rate. The rate has been as low as 3.5% recently. One analyst, Eric Johnston at Cantor Fitzgerald, noted that investors would do well by buying markets when the UE rate is 9% to 10%, and selling the market when it reaches extreme lows from 3% to 4%. UE rates haven’t begun to significantly roll over, and the Fed has remained focused on the tight labor markets and services sectors as sources of more sticky inflation. So if PMIs from January are showing wage pressures increasing somewhat, that doesn’t suggest the Fed will be *cutting* rates soon, though a pause may be discussed as rates approach 5%. Taxes as a percentage of GDP are at the level that coincides with recessions. Taxes are 18% of GDP. 2. Arguments for a Rally That Precedes New Bear Market Lows First, a rally that breaks the down trendline does not immediately negate the bear market. The 2000-2002 bear market experienced a substantial multi-month break of its down trendline (complete with a successful backtest after the break) before the next major leg down to new lows occured. Supplementary Chart D (2000-2002 Example) SPX continues to stabilize above major support / resistance zones such as 3900 and 3950. And it has closed above 4000 three consecutive days this week: January 23, 24, and 25. When it meets the down TL, it has not been reacting lower the way it has on every other test of the trendline during this bear market. It’s spending quality time with the TL, which is a new phenomenon / characteristic when price and the TL meet. SPX continues to hold above major anchored VWAPs from August, October, and December 2022, which range from 3850 to 3900. AAPL's price action is fairly bullish in the short-to-intermediate term. Here are the bullish technicals arising on AAPL's chart. AAPL’s daily chart shows a failed breakdown beneath major support levels over the past year. AAPL broke below $134.37 and $129.04 and fell to a new low, but quickly reclaimed $129.04 and $134.37, so this constitutes a failed breakdown. The failed breakdown is visible on the daily chart, so this is supportive of prices for several weeks to a couple months. $134.37 was the level coinciding with the lows from October 13 and November 4, 2022. $129.04 was the June 2022 low, which was undercut in December 2022 and early January 2023. Price broke below all these levels and then immediately reclaimed them. AAPL’s failed breakdown coincided with a tag of the parallel downtrend channel from the all-time high. AAPL shows positive (bullish) divergences with momentum indicators on both the daily and weekly charts. AAPL remains right at or slightly above the down TL from the mid-August 2022 highs, which was a fairly steep 5-month downtrend. AAPL remains above a short-term TL from June lows, but it also remains contained in its downtrend channel from the all-time high. AAPL is in no-man’s land, with some bullish forces that brought it here (divergences and failed breakdowns) Supplementary Chart E.1 (AAPL's Failed Breakdown) Supplementary Chart E.2 (AAPL's Parallel Channel Support) NDX (Nasdaq 100) broke above its down TL (linear chart only) and has held above it as well. It also has been making higher lows since the October 2022 lows. Supplementary Chart F.1 (NDX QQQ Log TL) Supplementary Chart F.2 (NDX QQQ Linear TL) IWM broke above its down TL on both log and linear charts. But it remains at critical resistance at the $188-$192 zone. It remains above intermediate term VWAPs from swing highs and lows in August, October and December 2022 (which are around $180), but it still remains below the VWAP anchored to its all-time high. Supplementary Chart G (IWM Linear TL) HYG broke above its down TL. Like other TL breaks, this could ultimately be a false signal, but here it has persisted for some time. HYG had a breakout above its down TL in the 2007-2009 bear market driven by the great financial crisis. This breakout was a false signal b/c the bear market was not over until early 2009, when the SPX made new lows. HYG resumed a downtrend after breaking above its down TL and went back to lows again and made lower lows, a move that coincided with SPX heading to new lows in Q1 2009. HYG shows a small bearish divergence on RSI on the daily chart. Wait for a larger bearish divergence to form on both daily and weekly charts perhaps. VIX has been trending lower to new lows. But this argument cuts both ways—it lies at multi-year support as well as the support zone for this entire bear market. It’s not a spot to be complacent. On the other hand, VIX could be forming a new seasonal range lower than the past few years. The downtrend must be respected until it breaks. VIX keeps failing right at the down TL from early October 2022 peaks. Consumer spending and corporate profits cannot hold up much longer given the leading economic indicators (PMIs, ISMs, Empire State Manufacturing Index, retail sales reports from December, mortgage applications, and housing data). But equity markets don’t seem convinced. Markets can remain irrational longer than traders can remain solvent. Earnings at major publicly traded companies may not be deteriorating quickly enough to disprove the “soft-landing” narrative that pervades markets. Recession does not mean stocks go straight to lows when yield curves have inverted. Recessions take time to unfold, just as the damage to economies takes time when rates are restrictive. There is a lag. Both FTSE and DAX have taken out the highs from mid-December 2022. FTSE is approaching multi-year highs. Both have broken above down TLs from the bear market. Both have decisively reclaimed 200-day SMAs. Both have been forming higher highs and lows Multi-week bear-traps occur frequently where significant down trendlines are broken until the bear market resumes in earnings in a period of several weeks or months. The 2000-2002 bear market provides an excellent example of this. So a break to the upside in the triangle pattern on SPX may last for several weeks or even months before the real downside move begins. Just because it’s been challenging and choppy does not mean it won’t get worse and more trappy. The third year of a presidential term (US markets) is nearly always bullish. There have been exceptions according to Tom McClellan (technical expert citing 1939 as an exception to this rule but noting that Hitler’s army was marching across Poland at the time). Some have said that the most bullish quarter of the presidential cycle is Q1 of the third year (technical expert Mark Newton speaking to financial media on January 24, 2022). Breadth has been strong lately, and some technical analysts have cited “breadth-thrust” indicators as giving bullish signals. Markets continue to disbelieve the Federal Reserve. Consider the differential b/w the Fed’s forecasts and the rate markets forecasts about whether rate cuts will happen this year, and where the terminal rate will be. So even if the Fed remains hawkish at the next meetings, perhaps it won’t matter. Markets will do what they want to do, including "fighting the Fed." You don't have to fight the Fed though or any other central bank. But don't fight the trend either. The Fed’s messaging at the February 1, 2023 FOMC presser may be slightly more dovish, or it may be interpreted as dovish if Powell so much as mentions a pause in hikes, or that the FOMC is discussing a pause. Even if Powell remains hawkish, sometimes markets can interpret the Fed Chair’s statements (sometimes ambiguous) the wrong way—recall that this happened at the July FOMC in 2022, after which Powell cleared up the confusion at Jackson Hole in August 2022 (tanking markets immediately). Equity positioning remains fairly underweight US equities according to financial experts on this subject. This could lead to momentum chase higher to trap all the bears before the real decline gets underway. Maybe stocks continue higher until two things occur: EPS estimates fall further, employment numbers start getting quite ugly, and the Fed is not as accomodative as it has been in past economic recessions (because while inflation has peaked, it may not fall directly to the 2% target, and with easing financial conditions, perhaps inflation could stop falling rise in Q1 2023) Equal-weighted S&P 500 (RSP) has broken above its down TL on a daily close as of January 25, 2023. The offense-defense ratio (consumer discretionary divided by consumer stables) RCD/RHS shows a breakout in this ratio above 8-month highs in the ratio’s value. This potentially signals near-term strength in equity markets as offensive stocks (consumer discretionary) outperform stocks defensive names (consumer staples) ________________________________________ 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
32

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Snaps

January 31January 31

Trying to keep up

As the king of electric vehicles, other vehicle manufacturers trying to get a foot in the EV market often look to the trailblazer as a source of inspiration. And its latest endeavor is the significant price slashing of many of its EV models. The results speak for themselves – Tesla’s Q4 saw its automotive revenue up 33% from the same quarter a year prior. Next up on the price-chopping block is Ford – in the hope that the same strategy will work for them.

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Ford goes tit for tat

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

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Bitcoin gets difficult

As if it wasn’t already hard enough, Bitcoin is now harder to mine than it’s ever been.

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Sorare hits the back of the net

The Premier League is becoming increasingly involved with NFTs, and some companies are reaping the benefits.

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RLinda ! GOLD-> The price moves into a correction phase Gold is breaking the upward channel. Prolonged retests and a difficult zone near the boundary are the battleground between buyers and sellers. It took longer for the price to start correcting against the strong trend The price breaks through the support of the local consolidation of 1918 and the gold descends to the 1900 zone - the liquidity and support zone of the global sideways range (the price has not yet touched, thus - the area has not been tested). There is a possibility of a slight pullback before the further main phase of testing the 1901-1900 area. I assume the 1900 zone is strong enough to expect a pullback and price strengthening to the 1913-1920 area. Important! If the price breaks through 1900 and consolidates below the level, there will be a good chance for the price decline to the area of 1890 and 1880 Regards R.Linda!
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Shiba Inu - 191% extreme profit! (unbelievable) It's absolutely unbelievable for Shiba Inu coin because the technical analysis shows an extreme pump is likely in the immediate short term! If you like Shiba Inu, you must hit the like button right now to support the future of this coin! There is no doubt that Shiba Inu knows how to pump drastically, and what can happen to you is that you wake up in the morning and you will see a huge green dildo, so I think you want to fill your bags before it happens! From the technical perspective, we can see a descending parallel channel on the daily chart that is very close to a bullish breakout. Also inside this descending channel, we can see an ABC ZigZag corrective pattern. With this confluence, we are pretty confident about an explosion to the upside. This analysis is not a trade setup; there is no stop-loss, entry point, profit target, expected duration of the trade, risk-to-reward ratio, or timing. I post trade setups privately. We have had a 92% correction from the all-time high. There was a massive bear market from 2021 to 2022. The bear market has been completed as an ABC zigzag pattern from the Elliott Wave perspective. What is the next strong resistance on the way up? 0.00002514 and 0.00003384 without a doubt. They are both strong resistances, where we can definitely experience some selling pressure. I am telling you that this is going to be massive, so make sure your bags are full with the Shiba Inu coin. You can buy on the spot or go long on futures with leverage. Thank you, and for more ideas, hit "Like" and "Follow"!
Long
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Curve DAO Token CRV price has a chance for another leap upToday we will take a look at the CRVUSDT trading pair. Our attention was drawn to the fact that during yesterday's market decline, CRV buyers kept the price above the strong mirror level of $0.95-1. As you can see from the trading history of CRVUSDT, this zone has often played the role of critical support and resistance levels. In general, the growth of the CRVUSD price in January 2023 was x2. If buyers of Curve DAO token manage to keep the price above the liquidity zone of $0.90-1 in the coming days, there is a good prospect of another +50% growth to the range of $1.35-1.50 An additional fact that Curve Finance has prospects can be evidenced by the Top of protocols with assets placed and blocked in them (TVL) (at the time of writing this idea): 1. Lido Finance ~ $8.0 billion, 2. MakerDAO ~ $7.0 billion, 3. Curve ~ $4.75 billion. 4. AAVE ~ $4.5 billion 5. Convex Finance ~ $4 billion 6. Uniswap ~ $3.8 billion 7. JustLend ~ $3.6 billion 8. PancakeSwap ~ $2.5 billion _____________________ Did you like our analysis? Leave a comment, like, and follow to get more
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EURAUD H8: BULLS H*S pattern // BUY NOW// TP +200 pips (SL/TP)Why get subbed to me on Tradingview? -TOP author on TradingView -2500+ ideas published -15+ years experience in markets -Professional chart break downs -Supply/Demand Zones -TD9 counts / combo review -Key S/R levels -No junk on my charts -Frequent updates -Covering FX/crypto/US stocks -before/after analysis -24/7 uptime so constant updates 🎁Please hit the like button and 🎁Leave a comment to support our team! EURAUD H8: BULLS H*S pattern // BUY NOW// TP +200 pips (SL/TP) IMPORTANT NOTE: speculative setup. do your own due dill. use STOP LOSS. don't overleverage. Tagged as LONG because I expect more gains until we hit S/R at 5680 🔸 Summary and potential trade setup ::: EURAUD 8hour chart review outlook ::: H*S speculative setup ::: expecting EURAUD to outperform ::: RISK OFF mode soon ::: will boost EURAUD mid-term ::: expecting a strong bull run soon ::: after we complete throwback/pullback ::: 5320 BEARS targeting neckline of structure ::: BULLS stay out and buy low instead ::: recommended strategy: BUY AT MARKET ::: SL 80 pips TP1 +160 pips TP2 +200 pips ::: 5660/ 80 strong resistance overhead ::: BULLS will target re-test of LEFT/RIGHT structure ::: BULLS should BUY/HOLD at market exit +200 pips ::: BEARS wait until we max out near 5680 ::: and get ready to SHORT from S/R ::: SWING trade setup do not expect ::: fast/miracle overnights gains here ::: good luck traders 🔸 Supply/Demand Zones ::: N/A ::: 5680 fresh supply zone 🔸 Other noteworthy technicals/fundies ::: TD9 /Combo update: N/A ::: Sentiment short-term: BEARS/PULLBACK ::: Sentiment outlook mid-term: STRONG BULLS ::: Global Sentiment: RISK OFF / will boost EURAUD RISK DISCLAIMER: Trading Futures , Forex, CFDs and Stocks involves a risk of loss. Please consider carefully if such trading is appropriate for you. Past performance is not indicative of future results. Always limit your leverage and use tight stop loss.
Long
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🔥 Bitcoin Showing Signs Of Danger: Bearish DivergenceBitcoin has seem amazing price action over the last couple of weeks. I've been very bullish from the start, but seeing this strong bearish divergence makes me question whether we're due for a correction or not. Seeing that we have three major central banks announcing their interest rates (US/EU/UK), I'd wager that we're likely going to see some bearish price action after 4 weeks of going up. Mainly looking at the yellow areas for potential support. My longer-term view is still very bullish, but that doesn't mean we can fall 5%-10% from this point. What do you think? Are we going to see a correction soon?
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Bitcoin Smart Money Trade SetupOur trade is based on the Smart Money Concept, which is a strategy that seeks to identify and follow the trading activity of large institutional investors, also known as "smart money." To do this, we will be following four key steps to identify trade levels: Step 1: Structure Identification on hourly time frame- We will be analyzing the hourly chart to identify key levels of support and resistance , which can provide insight into where the price of the asset is likely to move. This will involve identifying trendlines , Fibonacci retracements, or other chart patterns that can give us an idea of the underlying structure of the market. Step 2: Imbalance move- This step is about identifying the movement of institutional investors, also known as "smart money". By analyzing the buying and selling activity of these large players, we can get an idea of where the market is likely to move in the future. Step 3: Point of Interest- This step is about identifying specific levels or patterns on the chart that are of particular interest to us, based on the institutional move from step 2. This could include a key level of support or resistance, a pattern that has formed on the chart, or an indicator that is giving a specific signal. Step 4: Trade Setup- This step is about determining where to enter and exit the trade, based on the information we've gathered from the previous steps. We will be setting our entry and exit levels, as well as our target and stop loss levels. It's important to keep in mind that trading always carries a risk and it's important to understand the risk management and have a well-defined strategy before making any trade. Additionally, the smart money concept is a strategy that requires a good understanding of market structure and institutional behavior, which can be challenging. The entry level is 22925, the target is 23555 and the stop loss is 22840
Long
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DeGRAM | GOLD counter trend tradeGOLD is pulling back to the major support level at 1900. The market is trading in a downward channel . Price broke and closed below the major level at 1920, which gives the market a bearish sentiment. However Price action prints the bullish harmonic pattern after a sell-off. We look for short term counter-trend trade opportunities at the confluence level: support level + psychological number 1900 + harmonic pattern . ------------------- Share your opinion in the comments and support the idea with Like. Thanks for your support!
Long
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XAUUSD Weeklt TA - 01.31.2023 According to the intended scenario drawn on the chart, finally, with the beginning of this week, the price of gold after 8 weeks of bullish rally without significant correction has been able to face correction and the price has fallen from $1949 to $1901, we have to see. In the coming week, can the price penetrate below $1896 and close below it or not! If the weekly candle closes below $1896, we can expect further correction, that is, up to $1833 as the first target! The Main TA : Follow me for more analysis & Feel free to ask any questions you have, I'm here to help. ⚠️ This Analysis will be updated ... 👤 Arman Shaban : @ArmanShabanTrading 📅 01.31.2022 ⚠️(DYOR) ❤️ If you apperciate my work , Please like and comment , It Keeps me motivated to do better ❤️
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Pine scripts

Smart Money Concepts [LuxAlgo]This all-in-one indicator displays real-time market structure (internal & swing BOS / CHoCH), order blocks, premium & discount zones, equal highs & lows, and much more...allowing traders to automatically mark up their charts with widely used price action methodologies. Following the release of our Fair Value Gap script, we received numerous requests from our community to release more features in the same category. "Smart Money Concepts" (SMC) is a fairly new yet widely used term amongst price action traders looking to more accurately navigate liquidity & find more optimal points of interest in the market. Trying to determine where institutional market participants have orders placed (buy or sell side liquidity) can be a very reasonable approach to finding more practical entries & exits based on price action. The indicator includes alerts for the presence of swing structures and many other relevant conditions. Features This indicator includes many features relevant to SMC, these are highlighted below: Full internal & swing market structure labeling in real-time Break of Structure (BOS) Change of Character (CHoCH) Order Blocks (bullish & bearish) Equal Highs & Lows Fair Value Gap Detection Previous Highs & Lows Premium & Discount Zones as a range Options to style the indicator to more easily display these concepts Settings Mode: Allows the user to select Historical (default) or Present, which displays only recent data on the chart. Style: Allows the user to select different styling for the entire indicator between Colored (default) and Monochrome. Color Candles: Plots candles based on the internal & swing structures from within the indicator on the chart. Internal Structure: Displays the internal structure labels & dashed lines to represent them. (BOS & CHoCH). Confluence Filter: Filter non-significant internal structure breakouts. Swing Structure: Displays the swing structure labels & solid lines on the chart (larger BOS & CHoCH labels). Swing Points: Displays swing points labels on chart such as HH, HL, LH, LL. Internal Order Blocks: Enables Internal Order Blocks & allows the user to select how many most recent Internal Order Blocks appear on the chart. Swing Order Blocks: Enables Swing Order Blocks & allows the user to select how many most recent Swing Order Blocks appear on the chart. Equal Highs & Lows: Displays EQH/EQL labels on chart for detecting equal highs & lows. Bars Confirmation: Allows the user to select how many bars are needed to confirm an EQH/EQL symbol on chart. Fair Value Gaps: Displays boxes to highlight imbalance areas on the chart. Auto Threshold: Filter out non-significant fair value gaps. Timeframe: Allows the user to select the timeframe for the Fair Value Gap detection. Extend FVG: Allows the user to choose how many bars to extend the Fair Value Gap boxes on the chart. Highs & Lows MTF: Allows the user to display previous highs & lows from daily, weekly, & monthly timeframes as significant levels. Premium/Discount Zones: Allows the user to display Premium, Discount, and Equilibrium zones on the chart Usage Users can see automatic CHoCH and BOS labels to highlight breakouts of market structure, which allows to determine the market trend. In the chart below we can see the internal structure which displays more frequent labels within larger structures. We can also see equal highs & lows (EQH/EQL) labels plotted alongside the internal structure to frequently give indications of potential reversals. In the chart below we can see the swing market structure labels. These are also labeled as BOS and CHoCH but with a solid line & larger text to show larger market structure breakouts & trend reversals. Users can be mindful of these larger structure labels while trading internal structures as displayed in the previous chart. Order blocks highlight areas where institutional market participants open positions, one can use order blocks to determine confirmation entries or potential targets as we can expect there is a large amount of liquidity at these order blocks. In the chart below we can see 2 potential trade setups with confirmation entries. The path outlined in red would be a potential short entry targeting the blue order block below, and the path outlined in green would be a potential long entry, targeting the red order blocks above. As we can see in the chart below, the bullish confirmation entry played out in this scenario with the green path outlined in hindsight. As price breaks though the order blocks above, the indicator will consider them mitigated causing them to disappear, and as per the logic of these order blocks they will always display 5 (by default) on the chart so we can now see more actionable levels. The Smart Money Concepts indicator has many other features and here we can see how they can also help a user find potential levels for price action trading. In the screenshot below we can see a trade setup using the Previous Monthly High, Strong High, and a Swing Order Block as a stop loss. Accompanied by the Premium from the Discount/Premium zones feature being used as a potential entry. A potential take profit level for this trade setup that a user could easily identify would be the 50% mark labeled with the Fair Value Gap & the Equilibrium all displayed automatically by the indicator. Conclusion This indicator highlights all relevant components of Smart Money Concepts which can be a very useful interpretation of market structure, liquidity, & more simply put, price action. The term was coined & popularized primarily within the forex community & by ICT while making its way to become a part of many traders' analysis. These concepts, with or without this indicator do not guarantee a trader to be trading within the presence of institutional or "bank-level" liquidity, there is no supporting data regarding the validity of these teachings.
Pine Script™ indicator
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CVD - Cumulative Volume Delta (Chart)█   OVERVIEW This indicator displays cumulative ​volume delta (​CVD) as an on-chart oscillator. It uses intrabar analysis to obtain more precise ​volume delta information compared to methods that only use the chart's timeframe. The core concepts in this script come from our first ​ CVD indicator , which displays CVD​ values as plot candles in a separate indicator pane. In this script, CV​D values are scaled according to price ranges and represented on the main chart pane. █   CONCEPTS Bar polarity Bar polarity refers to the position of the close price relative to the open price. In other words, bar polarity is the direction of price change. Intrabars Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 bars at the lower timeframe of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar. Lower timeframes (LTFs) A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script utilizes a LTF to analyze intrabars, or price changes within a chart bar. The lower the ​LTF, the more intrabars are analyzed, but the less chart bars can display information due to the limited number of intrabars that can be analyzed. Volume delta Volume delta is a measure that separates ​volume​ into "up" and "down" parts, then takes the difference to estimate the net demand for the asset. This approach gives traders a more detailed insight when analyzing volume​ and market sentiment. There are several methods for determining whether an asset's volume​ belongs in the "up" or "down" category. Some indicators, such as On Balance Volume​ and the Klinger Oscillator , use the change in price between bars to assign ​volume​ values to the appropriate category. Others, such as Chaikin Money Flow , make assumptions based on open, high, low, and close prices. The most accurate method involves using tick data to determine whether each transaction occurred at the bid or ask price and assigning the ​volume​ value to the appropriate category accordingly. However, this method requires a large amount of data on historical bars, which can limit the historical depth of charts and the number of symbols for which tick data is available. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate ​volume delta on historical bars on our charts. This indicator uses intrabar analysis to achieve a compromise between simplicity and accuracy in calculating ​volume delta on historical bars. Our Volume Profile indicators use it as well. Other ​volume delta indicators in our Community Scripts , such as the Realtime 5D Profile , use real-time chart updates to achieve more precise ​volume delta calculations. However, these indicators aren't suitable for analyzing historical bars since they only work for real-time analysis. This is the logic we use to assign intrabar ​volume to the "up" or "down" category:  • If the intrabar's open and close values are different, their relative position is used.  • If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.  • As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used. Once all intrabars comprising a chart bar are analyzed, we calculate the net difference between "up" and "down" intrabar volume​ to produce the volume​ delta for the chart bar. █   FEATURES CVD resets The "cumulative" part of the indicator's name stems from the fact that calculations accumulate during a period of time. By periodically resetting the volume​ delta accumulation, we can analyze the progression of ​volume delta across manageable chunks, which is often more useful than looking at ​volume delta accumulated from the beginning of a chart's history. You can configure the reset period using the "CVD Resets" input, which offers the following selections:  • None : Calculations do not reset.  • On a fixed higher timeframe : Calculations reset on the higher timeframe you select in the "Fixed higher timeframe" field.  • At a fixed time that you specify.  • At the beginning of the regular session .  • On trend changes : Calculations reset on the direction change of either the Aroon indicator, Parabolic SAR , or Supertrend .  • On a stepped higher timeframe : Calculations reset on a higher timeframe automatically stepped using the chart's timeframe and following these rules: Chart TF ​HTF < 1min 1H < 3H 1D <= 12H 1W < 1W 1M >= 1W 1Y Specifying intrabar precision Ten options are included in the script to control the number of intrabars used per chart bar for calculations. The greater the number of intrabars per chart bar, the fewer chart bars can be analyzed. The first five options allow users to specify the approximate amount of chart bars to be covered:  • Least Precise (Most chart bars) : Covers all chart bars by dividing the current timeframe by four.   This ensures the highest level of intrabar precision while achieving complete coverage for the dataset.  • Less Precise (Some chart bars) & More Precise (Less chart bars) : These options calculate a stepped ​LTF in relation to the current chart's timeframe.  • Very precise (2min intrabars) : Uses the second highest quantity of intrabars possible with the 2min ​LTF.  • Most precise (1min intrabars) : Uses the maximum quantity of intrabars possible with the 1min ​LTF. The stepped lower timeframe for "Less Precise" and "More Precise" options is calculated from the current chart's timeframe as follows: Chart Timeframe Lower Timeframe Less Precise More Precise < 1hr 1min 1min < 1D 15min 1min < 1W ​2hr​ 30min > 1W 1D 60min The last five options allow users to specify an approximate fixed number of intrabars to analyze per chart bar. The available choices are 12, 24, 50, 100, and 250. The script will calculate the LTF​ which most closely approximates the specified number of intrabars per chart bar. Keep in mind that due to factors such as the length of a ticker's sessions and rounding of the LTF​, it is not always possible to produce the exact number specified. However, the script will do its best to get as close to the value as possible. As there is a limit to the number of intrabars that can be analyzed by a script, a tradeoff occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible. Display This script displays raw or cumulative volume​ delta values on the chart as either line or histogram oscillator zones scaled according to the price chart, allowing traders to visualize volume​ activity on each bar or cumulatively over time. The indicator's background shows where CVD​ resets occur, demarcating the beginning of new zones. The vertical axis of each oscillator zone is scaled relative to the one with the highest price range, and the oscillator values are scaled relative to the highest volume​ delta. A vertical offset is applied to each oscillator zone so that the highest oscillator value aligns with the lowest price. This method ensures an accurate, intuitive visual comparison of volume​ activity within zones, as the scale is consistent across the chart, and oscillator values sit below prices. The vertical scale of oscillator zones can be adjusted using the "Zone Height" input in the script settings. This script displays labels at the highest and lowest oscillator values in each zone, which can be enabled using the "Hi/Lo Labels" input in the "Visuals" section of the script settings. Additionally, the oscillator's value on a chart bar is displayed as a tooltip when a user hovers over the bar, which can be enabled using the "Value Tooltips" input. Divergences occur when the polarity of ​volume delta does not match that of the chart bar. The script displays divergences as bar colors and background colors that can be enabled using the "Color bars on divergences" and "Color background on divergences" inputs. An information box in the lower-left corner of the indicator displays the HTF used for resets, the ​LTF used for intrabars, the average quantity of intrabars per chart bar, and the number of chart bars for which there is LTF data. This is enabled using the "Show information box" input in the "Visuals" section of the script settings. FOR Pine Script™ CODERS  • This script utilizes `ltf()` and `ltfStats()` from the lower_tf library.   The `ltf()` function determines the appropriate lower timeframe from the selected calculation mode and chart timeframe, and returns it in a format that can be used with request.security_lower_tf() .   The `ltfStats()` function, on the other hand, is used to compute and display statistical information about the lower timeframe in an information box.  • The script utilizes display.data_window and display.status_line to restrict the display of certain plots.   These new built-ins allow coders to fine-tune where a script’s plot values are displayed.  • The newly added session.isfirstbar_regular built-in allows for resetting the ​CVD segments at the start of the regular session.  • The VisibleChart library developed by our resident PineCoders team leverages the chart.left_visible_bar_time and chart.right_visible_bar_time variables to optimize the performance of this script.   These variables identify the opening time of the leftmost and rightmost visible bars on the chart, allowing the script to recalculate and draw objects only within the range of visible bars as the user scrolls.   This functionality also enables the scaling of the oscillator zones.   These variables are just a couple of the many new built-ins available in the chart.* namespace.   For more information, check out this blog post or look them up by typing "chart." in the Pine Script™ Reference Manual .  • Our ta library has undergone significant updates recently, including the incorporation of the `aroon()` indicator used as a method for resetting ​CVD segments within this script.   Revisit the library to see more of the newly added content! Look first. Then leap.
Editors' picks
Pine Script™ indicator
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Harmonic Patterns Based Trend FollowerEarlier this week, published an idea on how harmonic patterns can be used for trend following. This script is an attempt to implement the same. 🎲 Process 🎯 Derive Zigzag and scan harmonic patterns for last 5 confirmed pivots 🎯 If a pattern is found, highest point of pattern will become the bullish zone and lower point of the pattern will become bearish zone. 🎯 Since it is trend following method, when price reaches bullish zone, then the trend is considered as bullish and when price reaches bearish zone, the trend is considered as bearish. 🎯 If price does not touch both regions, then trend remains unchanged. 🎯 Bullish and bearish zone will change as and when new patterns are formed. 🎲 Note Patterns are not created on latest pivot as last pivot will be unconfirmed and moving. Due to this, patterns appear after certain delay - patterns will not be real time. But, this is expected and does not impact the overall process. When new pattern formed When price breaks over the zones 🎲 Output 🎯 Patterns formed are drawn in blue coloured lines. Due to pine limitation of max 500 lines, older patterns automatically get deleted when new ones come. 🎯 Bullish Zone and Bearish Zone are plotted in green and red colours and the zone will change whenever new pattern comes along. 🎯 Bar colors are changed according to calculated trend. Trend value can be 1 or -1 based on the current trend. You can also find the value in data window. 🎯 For simplicity purpose, input option for selection of specific patterns are not provided and also pattern names are not displayed on the chart.
Editors' picks
Pine Script™ indicator
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Machine Learning: Lorentzian Classification█ OVERVIEW A Lorentzian Distance Classifier (LDC) is a Machine Learning classification algorithm capable of categorizing historical data from a multi-dimensional feature space. This indicator demonstrates how Lorentzian Classification can also be used to predict the direction of future price movements when used as the distance metric for a novel implementation of an Approximate Nearest Neighbors (ANN) algorithm. █ BACKGROUND In physics, Lorentzian space is perhaps best known for its role in describing the curvature of space-time in Einstein's theory of General Relativity (2). Interestingly, however, this abstract concept from theoretical physics also has tangible real-world applications in trading. Recently, it was hypothesized that Lorentzian space was also well-suited for analyzing time-series data (4), (5). This hypothesis has been supported by several empirical studies that demonstrate that Lorentzian distance is more robust to outliers and noise than the more commonly used Euclidean distance (1), (3), (6). Furthermore, Lorentzian distance was also shown to outperform dozens of other highly regarded distance metrics, including Manhattan distance, Bhattacharyya similarity, and Cosine similarity (1), (3). Outside of Dynamic Time Warping based approaches, which are unfortunately too computationally intensive for PineScript at this time, the Lorentzian Distance metric consistently scores the highest mean accuracy over a wide variety of time series data sets (1). Euclidean distance is commonly used as the default distance metric for NN-based search algorithms, but it may not always be the best choice when dealing with financial market data. This is because financial market data can be significantly impacted by proximity to major world events such as FOMC Meetings and Black Swan events. This event-based distortion of market data can be framed as similar to the gravitational warping caused by a massive object on the space-time continuum. For financial markets, the analogous continuum that experiences warping can be referred to as "price-time". Below is a side-by-side comparison of how neighborhoods of similar historical points appear in three-dimensional Euclidean Space and Lorentzian Space: This figure demonstrates how Lorentzian space can better accommodate the warping of price-time since the Lorentzian distance function compresses the Euclidean neighborhood in such a way that the new neighborhood distribution in Lorentzian space tends to cluster around each of the major feature axes in addition to the origin itself. This means that, even though some nearest neighbors will be the same regardless of the distance metric used, Lorentzian space will also allow for the consideration of historical points that would otherwise never be considered with a Euclidean distance metric. Intuitively, the advantage inherent in the Lorentzian distance metric makes sense. For example, it is logical that the price action that occurs in the hours after Chairman Powell finishes delivering a speech would resemble at least some of the previous times when he finished delivering a speech. This may be true regardless of other factors, such as whether or not the market was overbought or oversold at the time or if the macro conditions were more bullish or bearish overall. These historical reference points are extremely valuable for predictive models, yet the Euclidean distance metric would miss these neighbors entirely, often in favor of irrelevant data points from the day before the event. By using Lorentzian distance as a metric, the ML model is instead able to consider the warping of price-time caused by the event and, ultimately, transcend the temporal bias imposed on it by the time series. For more information on the implementation details of the Approximate Nearest Neighbors (ANN) algorithm used in this indicator, please refer to the detailed comments in the source code. █ HOW TO USE Below is an explanatory breakdown of the different parts of this indicator as it appears in the interface: Below is an explanation of the different settings for this indicator: General Settings: Source - This has a default value of "hlc3" and is used to control the input data source. Neighbors Count - This has a default value of 8, a minimum value of 1, a maximum value of 100, and a step of 1. It is used to control the number of neighbors to consider. Max Bars Back - This has a default value of 2000. Feature Count - This has a default value of 5, a minimum value of 2, and a maximum value of 5. It controls the number of features to use for ML predictions. Color Compression - This has a default value of 1, a minimum value of 1, and a maximum value of 10. It is used to control the compression factor for adjusting the intensity of the color scale. Show Exits - This has a default value of false. It controls whether to show the exit threshold on the chart. Use Dynamic Exits - This has a default value of false. It is used to control whether to attempt to let profits ride by dynamically adjusting the exit threshold based on kernel regression. Feature Engineering Settings: Note: The Feature Engineering section is for fine-tuning the features used for ML predictions. The default values are optimized for the 4H to 12H timeframes for most charts, but they should also work reasonably well for other timeframes. By default, the model can support features that accept two parameters (Parameter A and Parameter B, respectively). Even though there are only 4 features provided by default, the same feature with different settings counts as two separate features. If the feature only accepts one parameter, then the second parameter will default to EMA-based smoothing with a default value of 1. These features represent the most effective combination I have encountered in my testing, but additional features may be added as additional options in the future. Feature 1 - This has a default value of "RSI" and options are: "RSI", "WT", "CCI", "ADX". Feature 2 - This has a default value of "WT" and options are: "RSI", "WT", "CCI", "ADX". Feature 3 - This has a default value of "CCI" and options are: "RSI", "WT", "CCI", "ADX". Feature 4 - This has a default value of "ADX" and options are: "RSI", "WT", "CCI", "ADX". Feature 5 - This has a default value of "RSI" and options are: "RSI", "WT", "CCI", "ADX". Filters Settings: Use Volatility Filter - This has a default value of true. It is used to control whether to use the volatility filter. Use Regime Filter - This has a default value of true. It is used to control whether to use the trend detection filter. Use ADX Filter - This has a default value of false. It is used to control whether to use the ADX filter. Regime Threshold - This has a default value of -0.1, a minimum value of -10, a maximum value of 10, and a step of 0.1. It is used to control the Regime Detection filter for detecting Trending/Ranging markets. ADX Threshold - This has a default value of 20, a minimum value of 0, a maximum value of 100, and a step of 1. It is used to control the threshold for detecting Trending/Ranging markets. Kernel Regression Settings: Trade with Kernel - This has a default value of true. It is used to control whether to trade with the kernel. Show Kernel Estimate - This has a default value of true. It is used to control whether to show the kernel estimate. Lookback Window - This has a default value of 8 and a minimum value of 3. It is used to control the number of bars used for the estimation. Recommended range: 3-50 Relative Weighting - This has a default value of 8 and a step size of 0.25. It is used to control the relative weighting of time frames. Recommended range: 0.25-25 Start Regression at Bar - This has a default value of 25. It is used to control the bar index on which to start regression. Recommended range: 0-25 Display Settings: Show Bar Colors - This has a default value of true. It is used to control whether to show the bar colors. Show Bar Prediction Values - This has a default value of true. It controls whether to show the ML model's evaluation of each bar as an integer. Use ATR Offset - This has a default value of false. It controls whether to use the ATR offset instead of the bar prediction offset. Bar Prediction Offset - This has a default value of 0 and a minimum value of 0. It is used to control the offset of the bar predictions as a percentage from the bar high or close. Backtesting Settings: Show Backtest Results - This has a default value of true. It is used to control whether to display the win rate of the given configuration. █ WORKS CITED (1) R. Giusti and G. E. A. P. A. Batista, "An Empirical Comparison of Dissimilarity Measures for Time Series Classification," 2013 Brazilian Conference on Intelligent Systems, Oct. 2013, DOI: 10.1109/bracis.2013.22. (2) Y. Kerimbekov, H. Ş. Bilge, and H. H. Uğurlu, "The use of Lorentzian distance metric in classification problems," Pattern Recognition Letters, vol. 84, 170–176, Dec. 2016, DOI: 10.1016/j.patrec.2016.09.006. (3) A. Bagnall, A. Bostrom, J. Large, and J. Lines, "The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms." ResearchGate, Feb. 04, 2016. (4) H. Ş. Bilge, Yerzhan Kerimbekov, and Hasan Hüseyin Uğurlu, "A new classification method by using Lorentzian distance metric," ResearchGate, Sep. 02, 2015. (5) Y. Kerimbekov and H. Şakir Bilge, "Lorentzian Distance Classifier for Multiple Features," Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017, DOI: 10.5220/0006197004930501. (6) V. Surya Prasath et al., "Effects of Distance Measure Choice on KNN Classifier Performance - A Review." . █ ACKNOWLEDGEMENTS @veryfid - For many invaluable insights, discussions, and advice that helped to shape this project. @capissimo - For open sourcing his interesting ideas regarding various KNN implementations in PineScript, several of which helped inspire my original undertaking of this project. @RikkiTavi - For many invaluable physics-related conversations and for his helping me develop a mechanism for visualizing various distance algorithms in 3D using JavaScript @jlaurel - For invaluable literature recommendations that helped me to understand the underlying subject matter of this project. @annutara - For help in beta-testing this indicator and for sharing many helpful ideas and insights early on in its development. @jasontaylor7 - For helping to beta-test this indicator and for many helpful conversations that helped to shape my backtesting workflow @meddymarkusvanhala - For helping to beta-test this indicator @dlbnext - For incredibly detailed backtesting testing of this indicator and for sharing numerous ideas on how the user experience could be improved.
Editors' picks
Pine Script™ indicator
63
Hurst Diamond Notation PivotsThis is a fairly simple indicator for diamond notation of past hi/lo pivot points, a common method in Hurst analysis. The diamonds mark the troughs/peaks of each cycle. They are offset by their lookback and thus will not 'paint' until after they happen so anticipate accordingly. Practically, traders can use the average length of past pivot periods to forecast future pivot periods in time🔮. For example, if the average/dominant number of bars in an 80-bar pivot point period/cycle is 76, then a trader might forecast that the next pivot could occur 76-ish bars after the last confirmed pivot. The numbers/labels on the y-axis display the cycle length used for pivot detection. This indicator doesn't repaint, but it has a lot of lag; Please use it for forecasting instead of entry signals. This indicator scans for new pivots in the form of a rainbow line and circle; once the hi/lo has happened and the lookback has passed then the pivot will be plotted. The rainbow color per wavelength theme seems to be authentic to Hurst (or modern Hurst software) and has been included as a default.
Editors' picks
Pine Script™ indicator
28
Fair value bands (Dynamic risk levels, fair value metrics)— Overview Fair value bands, like other band tools, depict dynamic points in price where price behaviour is normal or abnormal, i.e. trading at/around mean (price at fair value) or deviating from mean (price outside fair value). Unlike constantly readjusting standard deviation based bands, fair value bands are designed to be smooth and constant, based on typical historical deviations. The script calculates pivots that take place above/below fair value basis and forms median deviation bands based on this information. These points are then multiplied up to 3, representing more extreme deviations. By default, the script uses OHLC4 and SMA 20 as basis for the bands. Users can form their preferred fair value basis using following options: Price source - Standard OHLC values - HL2 (High + low / 2) - OHLC4 (Open + high + low + close / 4) - HLC3 (High + low + close / 3) - HLCC4 (High + low + close + close / 4) Smoothing - SMA - EMA - HMA - RMA - WMA - VWMA - Median Once fair value basis is established, some additional customization options can be employed: Trend mode Direction based Cross based Trend modes affect fair value basis color that indicates trend direction. Direction based trend considers only the direction of the defined fair value basis, i.e. pointing up is considered an uptrend, vice versa for downtrend. Cross based trends activate when selected source (same options as price source) crosses fair value basis. These sources can be set individually for uptrend/downtrend cross conditions. By default, the script uses cross based trend mode with low and high as sources. Cross based (downtrend not triggered) vs. direction based (downtrend triggered): Threshold band Threshold band is calculated using typical deviations when price is trading at fair value basis. In other words, a little bit of "wiggle room" is added around the mean based on expected deviation. This feature is useful for cross based trends, as it allows filtering insignificant crosses that are more likely just noise. By default, threshold band is calculated based on 1x median deviation from mean. Users can increase/decrease threshold band width via input menu for more/less noise filtering, e.g. 2x threshold band width would require price to cross wiggle room that is 2x wider than typical, 0x erases threshold band altogether. Deviation bands Width of deviation bands by default is based on 1x median deviations and can be increased/decreased in a similar manner to threshold bands. Each combination of customization options produces varying behaviour in the bands. To measure the behaviour and finding fairest representation of fair and unfair value, some data is gathered. — Fair value metrics Space between each band is considered a lot, named +3, +2, +1, -1, -2, -3. For each lot, time spent and volume relative to volume moving average (SMA 20) is recorded each time price is trading in a given lot: Depending on the asset, timeframe and chosen fair value basis, shape of the distributions vary. However, practically always time is distributed in a normal bell curve shape, being highest at lots +1 to -1, gradually decreasing the further price is from the mean. This is hardly surprising, but it allows accurately determining dynamic areas of normal and abnormal price behaviour (i.e. low risk area between +1 and -1, high risk area between +-2 to +-3). Volume on the other hand is typically distributed the other way around, being lowest at lots +1 to -1 and highest at +-2 to +-3. When time and volume are distributed like so, we can conclude that 1) price being outside fair value is a rare event and 2) the more price is outside fair value, the more anomaly behaviour in volume we tend to find. Viewing metric calculations Metric calculation highlights can be enabled from the input menu, resulting in a lot based coloring and visibility of each lot counter (time, cumulative relative volume and average relative volume) in data window: — Alerts Available alerts are the following: Individual - High crossing deviation band (bands +1 to +3 ) - Low crossing deviation band (bands -1 to -3 ) - Low at threshold band in an uptrend - High at threshold band in a downtrend - New uptrend - New downtrend Grouped - New uptrend or downtrend - Deviation band cross (+1 or -1) - Deviation band cross (+2 or -2) - Deviation band cross (+3 or -3) — Practical guide Example #1 : Risk on/risk off trend following Ideal trend stays inside fair value and provides sufficient cool offs between the moves. When this is the case, fair value bands can be used for sensible entry/exit levels within the trend. Example #2 : Mean reversions When price shows exuberance into an extreme deviation, followed by a stall and signs of exhaustion (wicks), an opportunity for mean reversion emerges. The higher the deviation, the more volatility in the move, the more signalling of exhaustion, the better. Example #3 : Tweaking bands for desired behaviour The faster the length of fair value basis, the more momentum price needs to hit extreme deviation levels, as bands too are moving faster alongside price. Decreasing fair value basis length typically leads to more quick and aggressive deviations and less steady trends outside fair value.
Editors' picks
Pine Script™ indicator
13
RedK K-MACD : a MACD with some more musclesMoving Averages are probably the most commonly used analysis tools, and MACD is possibly the first charting indicator a trader gets to learn about. MACD Basic concept ---------------------------- Without repeating all the tons of documentation about what MACD does, let's quickly re-visit the MACD concept from a 10-mile altitude (note we're keen on simplifying here rather than being technically accurate - so please forgive the use of any "common lingos") - MACD goal is to represent the distance between 2 Moving Averages (MAs) - one fast and one slow, relatively - as an unrestricted zero-based oscillator. - The value of the main MACD line is the distance, or the displacement between the 2 MA's - usually a signal line is used (which is another MA of that distance value) to enable better visualization of the change (and rate of change, since this is all depicted on a time axis) of that displacement - this represents price momentum (price movement in the recent period versus movements for a relatively longer period). - the difference between the main MACD line and its signal is then represented as a histogram above and below the zero line. in this case, that histogram is really redundant, since it shows a value that is already represented visually by the main line and its signal line. How K-MACD is different --------------------------------- K-MACD takes that simple concept of the classic MACD and expands around it - the idea is to use the same simple approach to representing price momentum while bringing in more insight to price moves in the short, medium and long terms, ability to represent more than 2 MA's and to enable better identification of tradeable patterns (like Volatility Contraction and others) - while still keeping things simple and visually clean. K-MACD is an indicator that allows us to view how price moves against 3 moving averages: a fast / slow pair, and a "market" Filter or Baseline (very long) that will be used as a flag for Bear/Bull market mode. Many traders and trading literature use the 200 day (40 week) SMA as that key filter so in total, there are 4 MA lines in K-MACD (excluding the "orange" signal line): * Price Proxy: Which is a very fast moving average that will represent the price itself - let's use a WMA(3) or something close to that here - there will be a signal line to enable better visualization of this similar to a classic MACD - that's the orange line * Fast & Slow MA's : Use whatever represents the "medium term" momentum for your trading - Some traders use 20 and 50, others use 10 and 20 .. if on your price chart, you keep using a pair of MA's for this, use the same settings in K-MACD - these will be represented by the 3-color Momentum Bars that fluctuate above and below the baseline * Filter/Baseline MA: Should be your long (Bullish/Bearish Mode) MA. so 100 or 200 or any other value you consider your market to be bearish below and bullish above. on K-MACD this is actually the blue zero line - everything else is "relative" to it Review the sample chart which explains various elements and the "price chart" setup that K-MACD represents. With K-MACD you can clean up your chart from those various Moving Averages - or use a different set than the ones you already have K-MACD represent - or other indicators (like ATR channels..etc) Other "muscles" in the K-MACD --------------------------------------------- - Relative vs Classic Calculation Mode A key issue with the classic MACD is that the displacement between the 2 moving averages is represented as "absolute or direct" values - as the price of the underlying increases with time, you can't really use these values to make useful comparison between the past and now (see below example) - also you can't use them to compare 2 different instruments. - The "Relative" calculation option in K-MACD addresses that issue by relating all "distances" to the Baseline MA as percentage (above or below) - you can see this clear when you look at the above chart the far left versus the far right and compare K-MACD with the classic MACD - the Classic option is still available - More MA "type" options for all MA lines: choose between SMA, EMA, WMA, and RSS_WMA (which i use a lot in my trading and is my default for the Price Proxy) - More Alerts: a total or 9 alerts (in 3 groups) are available with K-MACD (Momentum above or below baseline, Price Proxy crossing signal line, and Price Proxy crossing baseline) - New 52 week High / Low markers: These will show as Green/red circles on the zero line in K-MACD. this will only work for 1D timeframe and above, i'm just using a simple approach and would like to keep it that way. - i know i added some more features not covered above :) -- if you have questions about any of the settings, feel free to ask below Closing thoughts ------------------------- K-MACD is a combination of couple of indicators i published in the past (xMACD and Mo_Bars) - so you can go back and read about them if needed - I then added improvements to accommodate ideas from swing trading literature and common practices that i plan to focus on in future. So K-MACD is really part of my own trading setup. I assume here that most traders are familiar with what a MACD is - so kept this post short - if you thing we should expand more about the concepts covered here let me know in the comments - i can make some separate posts with examples and more details. I hope many fellow traders find this work useful - and feel free let me know in comments below if you do.
Pine Script™ indicator
12
True Trend Average BandsThis is the indicator I am most proud of. After reading Glenn Neely's book "Mastering Eliott Waves" / "Neowave" and chatting with @timwest who got acknowledged by Neely, we came up with the idea of an moving average which does calculate the real average price since a trend started. Addionally I adapted a method from Neely Neowave and Tim Wests TimeAtMode to not force a timeframe on a chart but instead let the charts data decide which timeframe to use, to then calculate the real average price since the trend started. It took me a while to get this right and coded, so take a moment and dive deeper and you might learn something new. We assume that the price is in multiple trends on multiple timeframes, this is caused by short term traders, long term traders and investors who trade on different timeframes. To find out in which timeframe the important trends are, we have to look out for significant lows and highs. Then we change the timeframe in the chart to a value so that we have 10 to 20 bars since the significant low/high. While new bars are printed, and we reach more than 20 bars, we have to switch to a higher timeframe so we have 10 to 20 bars again. In the chart you see two significant trends: a downtrend on the 3 week timeframe and an uptrend from the 2 month timeframe. Based on the logic I have described, these are the two important timeframes to watch right now for the spx (there is another uptrend in the yearly chart, which is not shown here). Now that we understand how to find the important timeframes, let's look what the magic in this script is that tells us the real average price since a trend started. I developed a new type of moving average, which includes only the prices since a trend started. The difference to the regular sma is that it will not include prices which happened before the significant low or high happened. For example, if a top happened in a market 10 days ago, the regular sma20 would be calculated by 10 bars which happened before the top and 10 bars which happened after the top. If we want to know the average price of the last 10 bars we manually have to change the ma20 to the ma10 which is annoying manual work, additionally even if we use the ma10 in this case, and we look at yesterday's bar the ma10 will include 9 bars from after the top and one bar before the top, so the ma10 would only show the real average price for the current bar which is not what we want. To come up with a solution to this problem, the True Trend Average searches for the lowest/highest bar in a given period (20 bars). Then starts to calculate the average value since the low/high. For example: if the price reaches a new 20 day high and then trades below it, the day of the high will be the sma1, the day after it's the sma2, ... up to the maximum look back length. This way, we always know what the average price would have been if someone sold/bought a little bit every bar of his investment since the high/low. Why is this even important? Let's assume we missed selling the top or buying the low, and think it would have been at least better to buy/sell a little bit since the new trend started. Once the price reaches the true trend average again, we can buy/sell, and it would be as good as selling/buying a little bit every day. We find prices to buy the dip and sell the bounce, which are as good as scaling in/out. There is a lot more we can learn from these price levels but I think it is better to let you figure out yourself what you can learn from the information given by this indicator. Think about how market participants who accumulate or distribute feel when prices are above or below certain levels. Now that we understand this new type of moving average, let's look into the lines we see in the chart: The upper red band line shows the true trend average high price since the last significant top within 20 bars. The lower red band line shows the true trend average hl2 price since the last significant top within 20 bars. The lower green band line shows the true trend average low price since the last significant low within 20 bars. The upper green band line shows the true trend average hl2 price since the last significant low within 20 bars. The centerline is the average between the upper red band and the lower green band. The teal lines show 1 standard deviation from the outer bands. Before today only a few people had access to this indicator, now that it is public and open source, I am curious if you will find it useful and what you will do with it. Please share your findings. /edit: The chart only shows the 3week timeframe so here are the other two trends from the 2month and 1year timeframe
Pine Script™ indicator
11
Multiple Divergences (UDTs - objects) - Educational█   OVERVIEW This script highlights the usage of User-defined Types (UDTs) and objects , and bullish /bearish  divergences. Pivotpoints are used to find divergences, the result of this script will be different against other public multiple divergences scripts. FOR Pine Script™ CODERS Besides the information found in CONCEPTS , the comments in the script will, hopefully ), guide you through my thought process. █   CONCEPTS The main principle of this script are bullish /bearish  divergences, this with 3 different oscillators ( RSI , CCI , MFI ) If you want to know more about divergences, have a look at some Education and Research idea's . On every bar, an object HLs is made, containing bar_index , high , low , and 2 bool variables ( isPh , isPl ). On every bar, an object Osc is made, containing bar_index , o (oscillator value), and 2 bool variables ( isPh , isPl ). If a pivothigh (ph ) is found, isPh will be true on that bar, false otherwise. If a pivotlow (pl) is found, isPl will be true on that bar, false otherwise. These objects are added to an array, with limited size. If a ph is found, the script draws a testline from that ph to every previous ph , found in the array. Then every high in between these 2 points are checked if they don't pierce the testline . If the testline isn't broken, the Reg_Div_Piv() function will give 4 values, 1 check (not pierced) variable and the 4 points of the line. The testline is deleted. Once a positive check is found, the script will perform the same, but now with the Osc objects. The script will ONLY compare Osc pivots which are maximum 1 bar away from the high/low pivot . If everything is confirmed, a line is drawn, visible on the chart. █   REMARKS A label will be visible with a number, this is the amount of divergences found with the according oscillator . EXAMPLE Div with RSI and CCI -> 2 Div with MFI alone -> 1 Div with RSI and CCI and MFI -> 3 ... Divergences should only be used when confirmed, this is after bar close . As an aid, lines that are not confirmed will be dotted , if confirmed, they will be solid . The divergence check start when a ph/pl is found, after which oscillator pivot are checked. Optionally the same can be done, when a oscillator pivot is found and then check the ph/pl , this should give more results, although it can make the script slower. █   SETTINGS Left - amount of bars at the left which needs to be lower/higher Right - amount of bars at the right which needs to be lower/higher Max values - maximum values in array of objects 3 oscillator settings with      • ON/OFF      • Length      • color bullish  divergence      • color bearish  divergence Have FUN !
Pine Script™ indicator
14
Dynamic Linear Regression ChannelsPlots new linear regression channels from points where a previous channel is broken thus keeping the length of bars in the trend dynamic. Regression channels are useful in detecting trend changes, support and resistance levels and to trade mean reversions. Note: Setting higher values of upper and lower deviation may result in error if the price never breaks the channel and the script references too many bars than supported.
Editors' picks
Pine Script™ indicator
34

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Educational ideas

👉 THE TRUTH ABOUT DISCRETIONARY TRADING ✅According to statistics, 2/3 of those who try their hand at forex trading or another type of financial product trading ultimately quit up. Scientists have been researching financial industry failure rates for decades and have come to the conclusion that a beginner trader has a 10% probability of success. Only the most dedicated and persistent people in the market are rewarded with longevity. Financial markets can give you the opportunity to receive above-average compensation for your work. To help with achieving this goal, a variety of ideologies and tactics are available. Discretionary trading is one of the most intriguing. What Is Discretionary Trading? Trading that is exclusively done at the discretion of the trader is referred to as discretionary (intuitive) trading. Technical indicators and fundamental analysis are minor considerations in this case. First and foremost, trading decisions are based on the trader's instinct and feel of the market. Simply said, systematic trading is based on rigorous rules and algorithms, whereas intuitive trading is based on making judgements (a trading strategy describes in detail the interpretation of technical indicators and indicates how to open and close positions). Discretionary Trading: Pros And Cons There are a lot of misconceptions regarding discretionary trading, just like there are in every aspect of financial activities. Because of this, the idea and definition of discretionary trading are frequently misunderstood. Some people think it's enjoyable for beginners but unworthy of true specialists' attention. Others hold the secret to their swift success and wealth. Only novice traders or experienced pros with a deep understanding of the market may afford discretionary trading. However, traders who possess sufficient intelligence and common sense will be able to benefit from intuitive trading in the following ways: Financial gain If statistics are to be believed, discretionary traders do the best (in terms of total performance). After all, an intuitive trader employs their intuition and hits the target right away, as opposed to a conventional trader who rigorously follows the plan, follows invariably lagging indicators, or waits for significant news. In light of this, if the first trader typically obtains 20% of the profit from a trade, the second trader may receive 200% or 2000%. Six out of ten of the top 10 most successful stock market traders would be regarded as practitioners of intuitive trading. Personal development According to evolutionary psychology, intuitive trading has a significantly greater impact on a person's personal development. After all, it suggests the most logical application of cognitive abilities. In this instance, the trader learns to avoid piling on layers of pointless data while attempting to extract valuable information. Efficiency. Traders run the danger of missing the ideal opportunity to place an order by obsessively reviewing and double-checking analytical data. In discretionary trading, there is no such issue because the blow is delivered accurately and at the appropriate time. Relevance. Ordinary traders run the risk of being unable to keep up with the volatility of the market when using pre-made methods based on the interpretation of technical and fundamental analysis.The major advantage of the discretionary trading system is that the trader adapts their trading to the current market conditions in real-time mode. Of course, if their intuition is so developed that they can assess the market soberly while maintaining calmness and discipline so that emotions do not mislead them. However, as always, there is a downside. There are negative sides to discretionary trading. The main ones are: Process subjectivity is too great. Unfortunately, the way the brain is wired makes people more likely to believe information that supports their preconceptions. A trader, for instance, will typically notice the information that confirms their goal for the markets to rise first if they are passionate about that outcome. This strategy carries significant risks. the impact of observation and expectation. The unconscious impact of the expectation process on how the outcome is perceived is another uniqueness. Can show up as making hasty, rash decisions or, on the other hand, as spending too much time thinking things out and skipping out on having fun. indulgent in one's prejudices Discretionary traders are frequently the victims of cruel tricks by those who fail to understand their own prejudices. Whether one realizes it or not, cognitive biases (and many others) directly influence one's decisions (consciously or unconsciously). Few people have a truly disciplined mind, which is why discretionary trading is a failure for most. Can A Beginner Reach The Level Of A Good Discretionary Trader? Of course! There are chances. Although it's a fallacy to think that everyone who wants it will make it. And to be frank, not everyone needs it. Many traders really find it easier to act according to classical schemes and be satisfied with the profit that can be squeezed out of them. You have to realize that intuitive traders who place orders regularly are world-class players, pocketing millions and billions of dollars. They have learned to distinguish real intuitive impulses from vague hints and impulses arising chaotically in the brain and therefore have achieved success. How exactly did they achieve this? In this case, we are talking about conscious brain training to develop and improve such qualities as: emotional stability; patience; self-confidence; the ability to feel comfortable in stressful situations. Only by having developed them to the fullest, one can talk about any success in this type of trading. It is important to understand: intuition is not some magical characteristic with which fate blesses a person. It is obtained through practice, defeats, successes, new failures, and overcoming them. There are no easy ways. And if someone is sure of the contrary, it's easier for them to make coffee grounds' divination, since the result will be just in accordance with such beliefs. What Is The Catch? One of the worst things a trader can do is rely on intuition without much experience. Intuitive trading is the ultimate in trading, actually elevating it to an art form. Only those traders who have the necessary personal qualities and many years of successful experience can afford to make decisions based solely on intuition. Ordinary traders who do not have enough knowledge and experience are likely to find themselves in a losing position. The statistics are inexorable - 95% of beginning traders who try to trade intuitively (it seems easier to them than following the movements of candlesticks and meticulously analyzing indicator indicators) tend to lose their deposits on their very first trades. For this reason, beginners should use reliable approaches, based on price analysis. After all, indicators and technical analysis are the tools that give a more or less reliable basis for building truly working trading strategies. Simply put, the "intuition" of a beginner is banal guessing, and with such an approach you will not earn much anyway on stock and currency markets. Summary The key aspect of discretionary trading is the effectiveness of the trader as a person. Decisions are made solely based on inner feelings, often in opposition to the current market sentiment. Taking a discretionary approach to trading is not for every trader. Only those who have mastered the standard methods of analysis flawlessly can step on the shaky ground of guesses and assumptions, and most importantly, can feel the psychology and sentiment of other market participants. After all, it is people who ultimately shape the market, and their actions are far from always logical and rational.
Education
30
The 4 fears of every traderTrading in the financial markets, whether it be forex or cryptocurrency, can be a thrilling yet challenging experience. It requires a level of strategy, discipline, and risk tolerance to make informed decisions and reap profits. But, as traders, we are often faced with fears that can cloud our judgment and hinder our success in the market. To help you overcome these fears, we will delve into the four main categories that traders face: fear of being wrong, fear of losing money, fear of leaving money on the table, and fear of missing out. These fears can be crippling, but with the right understanding and approach, they can be conquered. Join us on a journey to understand these fears and how to overcome them, so you can become a confident, successful trader in the forex and cryptocurrency markets. Fear of being wrong The fear of being wrong is the most common obstacle for traders. It's only natural to want to be right all the time, but in the fast-paced and ever-changing world of trading, being wrong is an inevitable part of the process. But this fear can hold us back from making the bold and calculated decisions necessary for success. When we're too afraid of being wrong, we may avoid taking calculated risks, miss out on potential profits, or even make impulsive decisions based on emotions instead of data. But here's the thing: being wrong is a valuable opportunity to learn and grow as a trader. Every misstep is a chance to analyze what went wrong and improve our strategy for the next trade. So instead of letting the fear of being wrong hold you back, embrace it. Embrace the possibility of being wrong and use it as fuel to become a better trader. Remember, even the most successful traders make mistakes and face losses all the time. The key is to learn from those mistakes and come back stronger. Fear of losing money No one wants to watch their hard-earned capital disappear, but in the world of trading, losses are a fact of life. However, letting this fear control our decisions can be just as detrimental to our success as the fear of being wrong. If we're too afraid to lose money, we may be hesitant to take calculated risks, miss out on potential profits, or even exit positions prematurely. But here's the truth: losses are an integral part of the trading process and can be managed with a solid trading plan in place. By implementing risk management techniques, such as stop-loss orders, traders can minimize their losses and protect their capital. So instead of letting the fear of losing money paralyze you, turn it into a strength. Use it as motivation to develop a comprehensive trading plan that incorporates effective risk management strategies. Accept that losses are a natural part of trading, and use them as an opportunity to improve your strategies and refine your approach. Don't be afraid to lose money, be afraid of not taking advantage of opportunities to grow your wealth. Fear of leaving money on the table The fear of leaving money on the table is a tricky one, as it often arises when we're in a winning trade. It's tempting to hold on, hoping to squeeze out even more profits. But this can be a dangerous mindset that can lead to ignoring stop-losses and exposing ourselves to unnecessary risk. After all, you don't have a crystal ball ( and aren't an FOMC member ), so you should expect to buy the exact bottom and sell the exact top. Instead, you need to have a clear exit strategy in place and stick to it, no matter how much you feel like the trade can continue to go in your favor. By having a predetermined exit plan, we can lock in profits, manage risk, and avoid emotional decision-making. So, instead of succumbing to the fear of leaving money on the table, embrace discipline. Develop a solid exit strategy that balances the desire for profits with the need for risk management. Don't be afraid to lock in your profits, even if it feels like there's still money to be made. Trust in your strategy and stick to your plan, and you'll be in a better position to capitalize on future opportunities. Fear of missing out The fear of missing out (FOMO) is a feeling that all traders have faced at some point. It's especially prevalent in a volatile market, where prices are moving quickly, and it can be tempting to jump in without fully analyzing the situation. But succumbing to FOMO can lead to hasty decisions based on emotions, rather than logic, which can result in costly mistakes ( emotions causing mistakes...do you see a pattern? ). It's important to resist the temptation of FOMO and stick to your trading plan, even when the market is moving rapidly. By having a clear strategy in place and following it, we can avoid impulsive trades and make informed decisions that are grounded in logic and analysis. Take the time to thoroughly analyze each opportunity before making a decision. Trust in your strategy and stick to your plan, even when it feels like the market is passing you by. How to overcome our fears? For a brighter reader, it is easy to notice that these fears are omnipresent. No matter what you do or don't do during your trading day, you can't avoid these fears. Overcoming them is not easy, but it is essential for achieving success in the market. Here are a few pointers that can help you overcome these four fears and become more disciplined and consistent traders: Develop a reliable trading plan Having a well-defined trading plan can help us to manage our risks and make informed, rational decisions. A good trading plan should include our goals, risk management rules, and entry and exit strategies. By following our plan, we can stay disciplined and avoid making emotional decisions based on fear. Practice proper risk management Risk management is an essential part of trading, and it can help us to overcome our fear of losing money. By setting clear stop-loss levels and position sizes, we can minimize our losses and protect our capital. This can give us the confidence to take on appropriate levels of risk and pursue potential trading opportunities. Realize that your ego is the enemy How many times have you held a losing position past your stop loss and literally prayed for the break-even? Did anything fundamentally change about your position? No, you just didn't want to take the loss, am I right? See, even though we know that losses are part of the process it is still very hard for us to accept that any trade can go against us. And sometimes you do everything right, and still lose. Every trading system works with probabilities. Losses are normal. Let your ego go and stop trying to force a win out of every single position you take. ( Add this to your daily affirmation ritual if you must ) Stay focused on the long term It's easy to get caught up in the short-term movements of the market, but it's important to remember that trading is a long-term game. By focusing on our long-term goals it becomes easier to stay disciplined. Every losing day can get you closer to your long-term goal, as long as you sit down, analyze what happened, and learn from it. Take regular breaks Trading can be mentally and emotionally exhausting, and it's important to take regular breaks to recharge and refocus. By stepping away from the markets for a while, you can clear your mind and come back to our trading with a fresh perspective. This can help you avoid making rash decisions. Learn from your mistakes This is the big one. Realize that nobody is perfect, and everyone makes mistakes in their trading careers. It's important to learn from these mistakes and use them as opportunities for growth and improvement. By analyzing your past mistakes and adjusting your strategies accordingly, you can become better trader and overcome your fears. Consider automating your trading process Our trading platform does a fantastic job of keeping your emotions out of trading. You can set multiple take profits and stop losses, understand your risk-to-reward ratio, the trade's impact on your portfolio and much more before you even place the trade. You can backtest your strategies, trade them live automatically, and much much more. Leveraging technology in your favor can yield a tremendous difference in your trading results, as it did for our 15 thousand users. Conclusion The four main fears that traders face - fear of being wrong, fear of losing money, fear of leaving money on the table, and fear of missing out - can have a significant impact on our success in the markets. However, with the right approach and mindset, these fears can be overcome and transformed into positive drivers for our trading. By accepting that being wrong is a natural part of the trading process, managing our risks, having a clear exit strategy, and resisting the temptation of FOMO, we can overcome these fears and become more confident and successful traders. By doing so, we can capitalize on opportunities, make informed decisions, and achieve our trading goals. So embrace these fears, overcome them, and take control of your trading journey.
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10 Golden rules of investing Investments are neither complex nor difficult. There is a set of golden rules that help investors stay on track to achieve their ultimate financial goals. When it comes to money management, investments play a key role in creating wealth. At first, it can be difficult for you to decide which product to choose, where to invest, how much to keep, and so on. But as you continue, you will get a better understanding of how the investment market works. Keep in mind that no matter how disciplined you are and no matter what rules you follow, investing comes with risks and you can still get back less than you invested. Here is our summary of the 10 Rules Every Investor Should Know: 1. Do your own research Don't blindly trust what someone says on the internet, make sure it's backed up by multiple credible sources. Most people are biased about the cryptocurrencies they own, so naturally they can't say anything but good things about the coins in their portfolio while attacking the ones that aren't. Do your best to understand the positives and negatives of cryptocurrencies and develop an unbiased opinion. 2. Set clear goals Knowing your financial goals and the time frame for which you are investing can help you stick to your strategy. For example, if you have long-term goals, such as saving money for your children's education or for a personal retirement that may be decades away, you may be less tempted to invest before that time. 3. Never invest in something you don't understand Before investing in any investment, take the time to research it thoroughly so you understand exactly what is involved and what the risks are. Funds, for example, issue a Key Investor Information Document (KIID) or a Key Information Document (KID) that explains the fund's main functions and fees. You must read this before investing. If you are investing in individual projects, make sure you know what the company is doing and how it plans to make money in the future. In the cryptocurrency market, projects also have various documentation, white paper, roadmap. Before investing, you need to study all this and subscribe to the social networks of the project in order to understand the general mood of the project and investors and be aware of the latest news. 4. Don't put all your eggs in one basket Today, this rule is more relevant than ever. We all know the saying "don't put all your eggs in one basket", but it's especially important to apply this rule when investing. Spreading your money across a range of different asset types and geographies means you won't be too dependent on one type of investment or region. This means that if one of them performs poorly, some of the other investments may make up for those losses, although there are no guarantees. 5. The greater the potential return, the higher the level of risk The prospect of higher returns may be attractive, but there is usually a greater risk of losing funds. Think carefully about your approach to risk. You may be more comfortable choosing less risky investments, even if returns are likely to be lower. However, remember that no investment is without risk, and there is always a chance that you can return less than you invested. If, nevertheless, the temptation to enter a highly profitable and high-risk asset eats you up from the inside - invest, however, with a very small part of your total deposit. 6. Long-term investments are not always accompanied by high returns. First of all, it is necessary to understand for ourselves what profitability we want to receive from a company or project. Reading the documentation and roadmap, we do not assume that the company will exist for decades. First of all, we argue that with due efforts, the capitalization of the project can double. Yes, it may take several years. However, the goal should be expressed in terms of percentage of profit, and not in terms of the investment period. After all, it may happen that the value of assets will return to the price values of a decade ago or, even worse, the company will simply close. 7. If something seems too good to be true, it usually is. Beware of highly speculative investments that seem too good to be true, don't follow the crowd and invest (or sell) just because other people do. For example, many investors invested in the digital currency bitcoin in the second half of 2017, when its price rose, but its value fell by half in a month. In mid-December 2017, Bitcoin was trading at almost $20,000, but by mid-January 2018, it had fallen below $10,000. Those who at that moment could not cope with stress and sold “at the bottom” lost A fortune. 8. Income reinvestment or cost averaging can help increase overall returns The DCA strategy helps to avoid asset volatility and allows you not to constantly monitor a company or project. If you are not looking for a quick return on your investment, then you may want to consider reinvesting your funds to buy more of your investment, which will potentially increase in value and increase your overall profit. Simply put, your earnings also generate a return, which is known as compound interest. However, keep in mind that reinvesting income rather than receiving it as cash means you could lose it or see its value drop. If any income you receive is automatically reinvested – for example, if you invest in shares directly and subscribe to Automatic Dividend Reinvestment (ADR) – you will also not be able to choose the price at which you will buy any additional shares, so it can be low or high. 9. Review your portfolio and rebalance Markets are constantly changing, and so are your investments. You will be investing for many years, so it is important to carry out regular checks to stay on top of your money. Sometimes your initial asset allocation can get out of balance, so you need to rebalance it. For example, the market can fluctuate in different directions, effectively changing the percentage of your investment. Do you want to work on maintaining a percentage that will help you reach your goals? If you don't take action, you can have a lot more of one asset class than another when the market fluctuates. As part of the rebalancing process, you buy or sell certain investments to return to your desired asset allocation. This can help prevent a portfolio from being too aggressive when the goal is to minimize risk. In addition, by rebalancing you will avoid having too many assets of a certain class and restore your portfolio back to the original set of assets. 10. Don't try to time the market In an ideal world, you could buy investments just before they appreciate and sell before they fall. However, no one knows which direction the stock markets will move next, so trying to predict market ups and downs can result in you buying or selling at the most inopportune times. Buying and holding investments can help you stay committed to your investments for the long term by avoiding panic decisions when the markets are volatile. If you want to start investing, use these golden rules. By using these simple investment strategies, you can make your money work for you and take care of your future. If you think that the potential reward is not worth the risk, then investing is not for you.
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Market Cycles: What They Are and the Psychology Behind Them All markets go through cycles of expansion and contraction. 📈When a market is in an expansion phase (an uptrend), there is a sentiment of optimism, belief, and greed. Typically, these are the main emotions that lead to a strong buying activity. Sometimes, a strong sense of greed and belief overtakes the market in such a way that a financial bubble can form. In such a scenario, many investors become irrational, losing sight of the actual value and buying an asset only because they believe the market will continue to rise. They get greedy and irrational by the impressive bullish movement, expecting to make huge profits. As the market gets heavily overbought, the local top is created. In general, this is considered to be the point of the highest risk. In some cases, the market will start a sideways movement while smart money steadily sells the asset. This is also called the distribution stage. However, some markets don't present a clear distribution stage, and the downtrend starts sharply after the top is reached. ➖➖➖➖➖➖➖➖➖ 📉 When the market starts reversing, the euphoric mood can quickly turn into complacency, as many traders refuse to admit that the uptrend came to an end. As prices continue to fall, the market sentiment quickly moves to the bearish side. It often includes feelings of anxiety, denial, and panic. In this context, by the anxiety we mean the moment when bullish biased market participants start to question why the price is falling, which soon leads to the denial stage. The denial period is marked by a sense of unacceptance. Many investors keep holding their losing positions, either because "it's too late to sell" or because they want still believe that "the market will come back soon." But as the prices drop even lower, the selling wave gets stronger. At this point, fear and panic often lead to what is called a market capitulation (when holders give up and sell their assets close to the local bottom). Eventually, the downtrend stops as the volatility decreases and the market stabilizes. Typically, the market experiences sideways movements before feelings of hope and optimism start arising again. Such a sideways period is called the accumulation stage. Let me know, traders, what do you want to learn in the next educational post?
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6
Learn to Read the Strength of the Candlestick | Trading Educati What it is? Candlestick rejection strategy is a pure price action swing trading strategy. It makes use of the concept of price rejection or candlestick rejection patterns to invalidate counter-trend momentum for a trade continuation. By applying such candlestick rejection strategy onto swing trading, it allows trades to capture spots at which market prices are at rest during retracements before rejoining back the existing dominant trend. How to use? Some trade recommendation for such candlestick rejection strategy is to use it as a candlestick rejection pattern on counter-trend moves. This means that we pick candlestick rejection pattern only for the sake of searching for breakout continuation with the dominant trend at counter trend waves.Entry can be made after the breakout occurs at the high or low of The Mother Bar and stop loss order can be placed at the opposing breakout side's high or low. Further trade help can also be incorporated to help increase the trade's probability of success. For instance, it can be used together with other technical tools such as dynamic moving averages and Fibonacci retracement tool. Some may even want to consolidate other trading strategies to further increase trade’s probability of success. ✅LIKE AND COMMENT MY IDEAS✅ Please, like this post and subscribe to our tradingview page!👍
Education
5
BITCOIN - Head and Shoulders Targeting $21000BTC is in a good setup for a head and shoulders to the downside. The head and shoulders is a bearish pattern where the price bounces and returns to the "Neckline" support level the 3 times with the final return resulting in a break of neckline support. How to spot The easiest way to spot a head and shoulders is to find a support level that the price is bouncing off of. Look for a moderate bounce that returns to support followed by a larger bounce that also returns to support. This is the left shoulder, head setup. In this case, you can see a possible right shoulder forming around $23120. This price area has proven to be strong resistance. It has kept the price at bay for weeks now with all breakouts retreating back below it. As a result, it's the perfect set up for a head and shoulders. How to set your target price To determine your target price, measure the distance between the top of the head and the neckline. In this case, $1500. Subtract this amount from the neckline and you will get your target price. Make the bearish case How is the price action looking? Is the price action bearish? Is there a lot of buy or sell volume? By making a bearish case prior to your head and shoulders call, you will have more success in your trades. BTC BEARISH CASE -Broke the red channel -Returned back below strong resistance -Bear flag setup for right shoulder How to Trade Some traders like to enter their short at the top of what they perceive to be the right shoulder. The weaker (lower) the right shoulder in comparison to the left shoulder, the better. This shoulder is still early so its difficult to say whether we've topped yet, but the strong resistance would make me feel better about entering here. Other traders like to enter their short once the price has broken the neckline, which would be a more definite bearish move. Technical patterns are never 100% for certain. However, if you can spot them and trade them in the right circumstances, you will find a lot of success. Best of luck! I hope this helps improve your trading and your PnL!
Education
1
Tradingview Telegram Webhook Bot with Chart Snapshot (Revised)Hello Everyone, In this video, we will try to go through revised implementation of Tradingview-Telegram-Bot which can be used to send alert messages from tradingview to telegram along with current chart snapshot. 🎲 Base Initial version of the same idea are as below: How-to-create-simple-web-hook-to-send-alerts-to-Telegram How-to-capture-chart-snapshot-in-tradingview-telegram-alert-bot 🎲 Prerequisite Before proceeding with the current video, please watch the first video - How-to-create-simple-web-hook-to-send-alerts-to-Telegram which covers lots of basic things such as Creating Telegram Bot using botfather and capturing required information such as TOKEN and CHANNEL Basic usage of replit - a cloud based hosting service which lets us define our webhooks with little to no cost. Postman - tool which is required to test the webhooks created Other information such as keeping the bot alive via cronjob, using the webhooks in tradingview alert widget etc. 🎲 Setup Clone/fork replit repo Set mandatory environment variables CHANNEL and TOKEN Set optional environment variables username/password or sessionid Run the bot and start using webhooks 🎲 Usage Webhook URL will be of the format. https://Tradingview-Telegram-Bot. .repl.co/webhook? 🎲 Important Query parameters jsonRequest - can be set as true/false. Default is false. If set to true, the payload should be a standard json. Output to telegram will be sent in tabular format. If not set or if set to false, output to telegram will be clear text. tblfmt - table format to be used when jsonRequest is set to true. Default is plain. The values are exactly same as the ones required for tabulate package. chart - Send the chart id if required to send chart snapshot along with alert message. For this to work - chart needs to be either a shared chart or environment variables for tvusername and tvpassword should be set to the user who has access to given chart. ticker - Chart ticker. You no longer need to use different chart for different tickers. You can have a common chart and pass ticker to it so that chart will automatically switch to given ticker before taking screenshot delivery - Taking chart snapshot takes time. This also delays the delivery of alert message. To avoid this, we can use this option - delivery=asap so that alert message will be sent as soon as possible and chart is sent later. If this parameter is not set, then both the messages will be delivered together. 🎲 Repository URLs Tradingview-Telegram-Bot-Github Tradingview-Telegram-Bot-Replit
Education
1
Is Intel ($INTC) falling behind?In today’s educational article we will take a look at the basic metrics in Intel’s 10K annual report released a couple of days ago and define some basic stock fundamentals that an investor should take into account when analyzing a security. Financial analysis is the process of examining a company’s performance in the context of its industry and economic environment (macroeconomic) in order to arrive at a decision or recommendation. If you want to invest in one company there are 2 main ways to do it: • Invest in the debt of the company (buying corporate bonds) • Invest in the equity of the company (buying shares) Investors in debt are concerned with the company’s ability to pay interest and the principal. Investors in equity are concerned about the profitability of the company which translates into the ability to pay dividends or the likelihood of the share price going up. When we study Intel’s 10K we see some financial metrics that tell us about the business performance in the previous year: - Revenue : Intel declared that their revenue was down 20% from 2021. The total figure was 63.1B vs 79B in 2021. The revenue ( sales) refers to amounts charged for the delivery of goods or services in the ordinary activities of a business. - Gross Margin : was down 12.8% from the 2021 figure. In 2022 the gross margin for Intel was 42.6%. The gross margin is net sales less cost of goods sold (COGS). In other words, it's the amount of money a company retains after incurring the direct costs associated with producing the goods it sells and the services it provides. - Diluted EPS : Intel reported a diluted EPS that was down $2.92 or 60% lower than 2021. In 2021 they made $4.86 per share vs $1.94 in the previous year. Diluted EPS is a measurement used to gauge the quality of a company's earnings per share (EPS) if all convertible securities were exercised. EPS : Earnings per share (EPS) is calculated as a company's profit divided by the outstanding shares of its common stock. - Operating cashflow : Operating cashflow was down $14B or 48% compared to 2022. The operating cashflow is defined as the net amount of cash provided from operating activities. The company’s management said that 2022’s results were impacted by an uncertain macroeconomic environment arising from inflation, the war in Ukraine, and COVID-19 shutdowns in their supply chain in China. If you like our content, please feel free to support our page with a like, comment & subscribe for future educational ideas and trading setups. Also, we have a more in-depth analysis on our YouTube channel pinned on this Tradingview profile.
Education
How To Find Trend Trading OpportunitiesTrend trading is a style of trading. It specifies what you are looking for when trading a specific market. Style Trend trading sets you on a path to looking for a clear and defined uptrend and downtrend. Anything outside of that realm is no longer considered trending. A clear uptrend defines price forming a path of repetitive high prices called higher highs (last highest price to buy an asset before price declined) and higher lows(last discounted price to buy an asset before the price increased). While a clear downtrend defines price forming a path of repetitive lower prices called lower highs (last highest to buy an asset before price declines to a new discounted price) and lower lows(last highest(cheapest) price to buy an asset before price increased.) If you desire to be a trend trader you want to see the market creating a clear and defined uptrend or downtrend to call it an opportunity. Ignore the drama The next best thing to do is to avoid assets that are not trending. I prefer to trade the forex market. So, if I see any currency pairs absent of a clear trend, I immediately move on to the next pair. It's better on my mind to wait for my opportunity than to create one out of thin air. The more pairs that are not trending the better. This way, I have a small group of currency pairs to watch and trade. Limit the small mindset I have no idea what trades will win or lose. When I'm in my right frame of mind I don't think about the opportunity not working instantly. Which is why I swing trade. I like to lose my money slowly vs. fast as a day trader. It helps me stay clear of telling myself I'm wrong on a daily basis. I found I focus better on the outcome of the trade when I remind myself the market will tell me that I'm wrong. This way, as every outcome plays out I can handle each winning trade and losing with little emotion as possible. Is this always easy to do? Nope! I'd dare not fool you. But it does make it easier to setup for the next series of trades when I only focus on my "trend trading" opportunities. Quick recap You'll do better to find trend trading opportunities by focusing solely on currency pairs that are trending and ignoring the ones that are not. Its wise to limit your mindset by believing you're wrong choosing to trend trade. Let the market tell you when your setup is wrong vs. you telling yourself you're wrong before the trade plays out. This allows you to focus on the outcome of the trade to being overly emotional. I really hope this helps and that you were able to find a gentle takeaway. If you enjoyed this read, please like the post and comment on what your takeaway was. Happy trading 🧡 Shaquan
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Silver Multi-Timeframe Analysis 30.01Hello Traders, welcome to this free and educational technical analysis . Silver is currently testing a very strong weekly support/resistance area amd after this massive runup there is the possibility that we will see a short term correction away from the zone. On the daily timeframe you can see a beautiful distribution phase, where the market is starting to create lower highs and lower lows, so I am now just waiting for a break of the very strong previous support zone and then a retest, and then I will definitely enter a short to capitalize on the continuation to the downside. Thank you for watching and I will see you tomorrow! You can also check out my previous analysis of this asset:
33
Litecoin - Are you a Bob -Trader ?Hi Traders, Investors and Speculators of the Charts 📈📉 The continues market cycle between Bitcoin and altcoins can clearly be seen at the moment. It goes something like this: 🤩 Bitcoin goes UP ... Bob Fomo buys the rally 🤔 Bitcoin corrects ... Bob panics and sells 🤑 Altcoin rallies ... Bob thinks, screw BTC, I'm going all in on this altcoin 😨 Altcoins correct ... Bob panics. Altcoins are scams! Sells everything 🤩 Bitcoin goes up .... Bob Fomo buys the rally Moral of the story... Don't be like Bob. Don't try to FOMO in whilst the price is going up. Plan your trade, preset your TP and SL. Interested in another alt with massive upside potential? Here's a low risk high reward setup on LINKUSDT : _______________________ 📢Follow us here on TradingView for daily updates and trade ideas on crypto , stocks and commodities 💎Hit like & Follow 👍 We thank you for your support ! CryptoCheck
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6
FOMC prep, the chop continues - SPXNo sell off today is another warning that we may have more chop tomorrow and in the coming week. Looking at the action today makes me think we're in a B of 4 and the C will be with the FOMC announcement. However because it's probably a 4th wave, chances are we find support at either 3980ish or 3950 - the important MA's are there on the daily charts. The RSI is also hinting at a buyable dip after tomorrow. The bear fatigue should be complete with one more high into 4130+ for wave 5 of C next week. One one hand I'd like this rally to be over, but on the other hand, the higher they go, the more explosive the move down will be for the C wave I see coming. Good luck!
3
Tradingview Telegram Webhook Bot with Chart Snapshot (Revised)Hello Everyone, In this video, we will try to go through revised implementation of Tradingview-Telegram-Bot which can be used to send alert messages from tradingview to telegram along with current chart snapshot. 🎲 Base Initial version of the same idea are as below: How-to-create-simple-web-hook-to-send-alerts-to-Telegram How-to-capture-chart-snapshot-in-tradingview-telegram-alert-bot 🎲 Prerequisite Before proceeding with the current video, please watch the first video - How-to-create-simple-web-hook-to-send-alerts-to-Telegram which covers lots of basic things such as Creating Telegram Bot using botfather and capturing required information such as TOKEN and CHANNEL Basic usage of replit - a cloud based hosting service which lets us define our webhooks with little to no cost. Postman - tool which is required to test the webhooks created Other information such as keeping the bot alive via cronjob, using the webhooks in tradingview alert widget etc. 🎲 Setup Clone/fork replit repo Set mandatory environment variables CHANNEL and TOKEN Set optional environment variables username/password or sessionid Run the bot and start using webhooks 🎲 Usage Webhook URL will be of the format. https://Tradingview-Telegram-Bot. .repl.co/webhook? 🎲 Important Query parameters jsonRequest - can be set as true/false. Default is false. If set to true, the payload should be a standard json. Output to telegram will be sent in tabular format. If not set or if set to false, output to telegram will be clear text. tblfmt - table format to be used when jsonRequest is set to true. Default is plain. The values are exactly same as the ones required for tabulate package. chart - Send the chart id if required to send chart snapshot along with alert message. For this to work - chart needs to be either a shared chart or environment variables for tvusername and tvpassword should be set to the user who has access to given chart. ticker - Chart ticker. You no longer need to use different chart for different tickers. You can have a common chart and pass ticker to it so that chart will automatically switch to given ticker before taking screenshot delivery - Taking chart snapshot takes time. This also delays the delivery of alert message. To avoid this, we can use this option - delivery=asap so that alert message will be sent as soon as possible and chart is sent later. If this parameter is not set, then both the messages will be delivered together. 🎲 Repository URLs Tradingview-Telegram-Bot-Github Tradingview-Telegram-Bot-Replit
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