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Strategy

Institute of Intermediation and 24 Coffee LoversWhen the market is efficient, the most efficient strategy will yield zero financial return for the investor. Therefore, firstly, it is necessary to strive to find inefficiencies in the market itself to apply a strategy that will be effective for it. What creates market inefficiency? First, there are delays in disseminating important information about the company, such as the approval of a contract with a major customer or an accident at a plant. If current and potential investors do not receive this information immediately, the market becomes inefficient at the time such an event occurs. In other words, objective reality is not considered by market participants. This makes the stock price obsolete. Secondly, the market becomes inefficient during periods of high volatility. I would describe it this way: when uncertainty hits everyone, emotions become the main force influencing prices. At such times, the market value of a company can change significantly within a single day. Investors have too many different assessments of what is happening to find the necessary balance. Volatility can be triggered by the bankruptcy of a systemically important company (for example, as happened with Lehman Brothers), the outbreak of military action, or a natural disaster. Third, there is the massive action of large players in a limited market - a "bull in a china shop" situation. A great example is the story of 2021, when the Reddit community drove up the price of GameStop shares, forcing hedge funds to cover their short positions at sky-high prices. Fourthly, these are ineffective strategies of the market participants themselves. On August 1, 2012, American stock market trading company Knight Capital caused abnormal volatility in more than 100 stocks by sending millions of orders to the exchange over a 45-minute period. For example, Wizzard Software Corporation shares rose from $3.50 to $14.76. This behavior was caused by a bug in the code that Knight Capital used for algorithmic trading. The combination of these and other factors creates inefficiencies that are exploited by trained traders or investors to make a profit. However, there are market participants who receive their income in any market. They are above the fray and are engaged in supporting and developing the infrastructure itself. In mathematics, there is a concept called a “zero-sum game”. This is any game where the sum of the possible gains is equal to the sum of the losses. For example, the derivatives market is a perfect embodiment of a zero-sum game. If someone makes a profit on a futures contract, he always has a partner with a similar loss. However, if you dive deeper, you will realize that this is a negative-sum game, since in addition to profit and loss, there are commissions that you pay to the infrastructure: brokers, exchanges, regulators, etc. To understand the value of these market participants and that you are paying them well, imagine a modern world without them. There is only a company issuing shares and investors in them. Such a company has its own software, and you connect to it via the Internet to buy or sell shares. The company offers you a quote for buying and selling shares ( bid-ask spread ). The asking price ( ask ) will be influenced by the company's desire to offer a price that will help it not lose control over the company, consider all expected income, dividends, etc. The purchase price ( bid ) will be influenced by the company's desire to preserve the cash received in the capital market, as well as to earn money on its own shares by offering a lower price. In general, in such a situation, you will most likely get a huge difference between the purchase and sale prices - a wide bid-ask spread . Of course, the company understands that the wider the bid-ask spread , the less interest investors have in participating in such trading. Therefore, it would be advisable to allow investors to participate in the formation of quotes. In other words, a company can open its order book to anyone who wants to participate. Under such conditions, the bid-ask spread will be narrowed by bids from a wide range of investors. As a result, we will get a situation where each company will have its own order book and its own software to connect to it. From a portfolio investor's perspective, this would be a real nightmare. In such a world, investing in not one, but several companies would require managing multiple applications and accounts for each company at the same time. This will create a demand from investors for one app and one account to manage investments in multiple companies. Such a request will also be supported by the company issuing the shares, as it will allow it to attract investors from other companies. This is where the broker comes in. Now everything is much better and more convenient. Investors get the opportunity to invest in multiple companies through one account and one application, and companies get investors from each other. However, the stock market will still be segmented, as not all brokers will support cooperation with individual companies, for technical or other reasons. The market will be fragmented among many brokerage companies. The logical solution would be to create another market participant that would have contracts with each of the companies and universal software for trading their shares. The only thing is that it will be brokers, not investors, who will connect to such a system. You may have already guessed that this is an exchange. On the one hand, the exchange registers shares of companies, on the other hand, it provides access to trading them through brokers who are its members. Of course, the modern structure of the stock market is more complex: it involves clearing, depository companies, registrars of rights to shares, etc.* The formation of such institutions and their licensing is handled by a regulator, for example, the Securities and Exchange Commission in the United States ( SEC ). As a rule, the regulator is responsible for legislative initiatives in the field of the securities market, licensing of market participants, monitoring violations in the market and supporting its efficiency, protecting investors from unfair manipulation. *Clearing services are activities to determine, control and fulfill obligations under transactions of financial market participants. Depository services - services for the storage of securities and the recording of rights to them. Thus, by making a transaction on the exchange, we contribute to the maintenance of this necessary infrastructure. Despite the fashion for decentralization, it is still difficult to imagine how one can ensure speed, convenience and access to a wide range of assets due to the absence of an intermediary institution. The other side of the coin of this institution is infrastructure risk. You can show phenomenal results in the market, but if your broker goes bankrupt, all your efforts will be nullified. Therefore, before choosing an intermediary, it is useful to conduct a mental survey of the person you will be dealing with. Below you will find different types of intermediaries, which I have arranged according to their distance from the central elements of the infrastructure (exchanges, clearing houses, depositories). Prime broker Exchange Membership: mandatory License: mandatory Acceptance and accounting of your funds/shares: mandatory Order execution: mandatory Clearing and depository services: mandatory Marginal services: mandatory Remuneration: commission income from trades, clearing, depository and margin services This category includes well-known financial houses with history and high capitalization. They are easily verified through lists of exchange members, clearing and depository companies. They provide services not only to individuals, but also to banks, funds and next-level brokers. Broker Exchange membership: mandatory License: mandatory Acceptance and accounting of your funds/shares: mandatory Order execution: mandatory Clearing and depository services: on the prime broker side Margin services: on the prime broker side or own Remuneration: commission income from trades and margin services This category includes intermediaries with a focus on order routing. They delegate participation in depository and clearing services to a prime broker. However, such brokers can also be easily verified in the lists of exchange members. Sub-broker Exchange Membership: no License: mandatory Acceptance and accounting of your funds/shares: mandatory Order execution: on the broker or prime broker side Clearing and depository services: on the prime broker side Margin services: on the broker or prime broker side Remuneration: commission income from trades This category includes brokers who have a brokerage license in their country, but do not have membership in foreign exchanges. To provide trading services on these exchanges, they enter into agreements with brokers or prime brokers from another country. They can be easily verified by license on the website of the regulator of the country of registration. Introducing Broker Exchange Membership: no License: optional, depending on the country of regulation Acceptance and accounting of your funds / shares: no Order execution: on the side of the sub-broker, broker or prime broker Clearing and depository services: on the prime broker side Margin services: on the broker or prime broker side Remuneration: commission income for the attracted client and/or a share of the commissions paid by them This category includes companies that are not members of the exchange. Their activities may not require a license, since they do not accept funds from clients, but only assist in opening an account with one of the top-tier brokers. This is a less transparent level, since such an intermediary cannot be verified through the exchange and regulator’s website (unless licensing is required). Therefore, if an intermediary of this level asks you to transfer some money to his account, most likely you are dealing with a fraudster. All four categories of participants are typical for the stock market. Its advantage over the over-the-counter market is that you can always check the financial instrument on the exchange website, as well as those who provide services for its trading (membership - on the exchange website, license - on the regulator's website). Pay attention to the country of origin of the broker's license. You will receive maximum protection in the country where you have citizenship. In case of any claims against the broker, communication with the regulator of another country may be difficult. As for the over-the-counter market, this segment typically trades shares of small-cap companies (not listed on the exchange), complex derivatives and contracts for difference ( CFD ). This is a market where dealers rule, not brokers and exchanges. Unlike a broker, they sell you their open position, often with a lot of leverage. Therefore, trading with a dealer is a priori a more significant risk. In conclusion, it should be noted that the institution of intermediation plays a key role in the development of the stock market. It arose as a natural need of its participants for concentration of supply and demand, greater speed and security of financial transactions. To get a feel for this, let me tell you a story. New Amsterdam, 1640s A warm wind from the Hudson brought the smell of salt and freshly cut wood. The damp logs of the palisade, dug into the ground along the northern boundary of the settlement, smelled of resin and new hopes. Here, on the edge of civilization, where Dutch colonists were reclaiming their homes and future fortunes from the wild forest, everything was built quickly, but with a view to lasting for centuries. The wooden wall built around the northern border of the town was not only a defense against raids, but also a symbol. A symbol of the border between order and chaos, between the ambitions of European settlers and the freedom of these lands. Over the years, the fortification evolved into a real fortification: by 1653, Peter Stuyvesant, appointed governor of New Netherland by the West India Company, ordered the wall to be reinforced with a palisade. It was now twelve feet high, and armed sentries stood on guard towers. But even the strongest walls do not last forever. Half a century after their construction, in 1685, a road was built along the powerful palisade. The street received a simple and logical name - Wall Street. It soon became a bustling commercial artery for the growing city. In 1699, when the English authorities had already established themselves here finally, the wall was dismantled. She disappeared, but Wall Street remained. A century has passed Now, at the end of the 18th century, there were no walls or guard towers on this street. Instead, a plane tree grew here - a large, spreading one, the only witness to the times when the Dutch still owned this city. Traders, dealers, and sea captains met under its shadow. Opposite the buttonwood tree stood the Tontine Coffee House, a place where not just respectable people gathered, but those who understood that money makes this world go round. They exchanged securities right on the pavement, negotiated over a cup of steaming coffee, and discussed deals that could change someone's fate. Decisions were made quickly - a word, backed up by a handshake, was enough. It was a time when honor was worth more than gold. But the world was changing. The volume of trades grew, and chaos demanded rules. May 17, 1792 That spring day turned out to be decisive. Under the branches of an old buttonwood tree, 24 New York brokers gathered to start a new order. The paper they signed contained only two points: trades are made only between their own, without auctioneers, and the commission is fixed at 0.25%. The document was short but historic. It was called the Buttonwood Agreement, after the tree under which it was signed. Here, amid the smell of fresh coffee and ink, the New York Stock Exchange was born. Soon, deals were being concluded under the new rules. The first papers to be traded were those of The Bank of New York , whose headquarters were just a few steps away at 1 Wall Street. Thus, under the shade of an old tree, the history of Wall Street began. A story that will one day change the whole world. Buttonwood Agreement. A fresco by an unknown artist who adorns the walls of the New York Stock Exchange.
NYSE:BACEducation
by Be_Capy
USD/JPY Direction 151 After the BoJ📊 Market Context As of March 18, 2025, the USD/JPY exchange rate stands around 149.38, reaching its highest level since March 5. This movement is driven by expectations regarding upcoming monetary policy decisions from both the Bank of Japan (BoJ) and the U.S. Federal Reserve. 🔍 Technical Analysis The technical analysis of USD/JPY highlights the following key points: Current Trend: USD/JPY shows a moderate recovery, with a 0.49% increase on March 17. Key Resistance: The area between 150.00 and 151.00 represents a significant resistance level. A decisive breakout above this zone could pave the way for further gains. Important Supports: Support levels are found at 148.00 and 146.50. A drop below these levels could indicate a deeper correction. Technical Indicators: Moving averages and key oscillators suggest a short-term bullish trend. 🌍 Fundamental Analysis Several fundamental factors are influencing the USD/JPY exchange rate: BoJ Decision: The Bank of Japan recently raised its key interest rate from 0.25% to 0.5%, citing higher wages and rising inflation. However, for today's meeting, the BoJ is expected to keep rates unchanged while assessing the impact of global trade tensions on the Japanese economy. U.S. Monetary Policy: The Federal Reserve is expected to keep interest rates stable in the upcoming meeting, with the Fed Funds rate projected to remain between 4.25% and 4.5%. Trade Tensions: U.S. trade policies under the Trump administration are creating economic uncertainties, influencing central bank decisions and currency markets. 🎯 Conclusion USD/JPY is currently in a consolidation phase near recent highs. If the BoJ maintains an accommodative monetary policy and the Fed keeps rates stable, the dollar could continue strengthening against the yen, targeting the key resistance level of 151.00. However, uncertainties related to trade tensions and future central bank actions require close monitoring by investors.
Long
by EdgeTradingJourney
2
Behind the DCA Strategy: What It Is and How It WorksWho invented the Dollar Cost Averaging (DCA) investment strategy? The concept of Dollar Cost Averaging (DCA) was formalized and popularized by economists and investors throughout the 20th century, particularly with the growth of the U.S. stock market. One of the first to promote this strategy was Benjamin Graham , considered the father of value investing and author of the famous book The Intelligent Investor (published in 1949). Graham highlighted how DCA could help reduce the risk of buying assets at excessively high prices and improve investor discipline. When and How Did Dollar Cost Averaging Originate? The concept of DCA began to take shape in the early decades of the 20th century when financial institutions introduced automatic purchase programs for savers. However, it gained popularity among retail investors in the 1950s and 1960s with the rise of mutual funds. Overview The core principle of DCA involves investing a fixed amount of money at regular intervals (e.g., every month. This approach allows investors to purchase more units when prices are low and fewer units when prices are high, thereby reducing the impact of market volatility. Why Was DCA Developed? The strategy was developed to address key challenges faced by investors, including: 1. Reducing Market Timing Risk Investing a fixed amount periodically eliminates the need to predict the perfect market entry point, reducing the risk of buying at peaks. 2. Discipline and Financial Planning DCA helps investors maintain financial discipline, making investments more consistent and predictable. 3. Mitigating Volatility Spreading trades over a long period reduces the impact of market fluctuations and minimizes the risk of experiencing a significant drop immediately after a large investment. 4. Ease of Implementation The strategy is simple to apply and does not require constant market monitoring, making it accessible to all types of investors. Types of DCA Dollar Cost Averaging (DCA) is an investment strategy that can be implemented in two main ways: Time-Based DCA → Entries occur at regular intervals regardless of price. Price-Based DCA → Entries occur only when the price meets specific criteria. 1. Time-Based DCA How It Works: The investor buys a fixed amount of an asset at regular intervals (e.g., weekly, monthly). Entries occur regardless of market price. Example: An investor decides to buy $200 worth of Bitcoin every month, without worrying whether the price has gone up or down. 2. Price-Based DCA How It Works: Purchases occur only when the price drops below a predefined threshold. The investor sets price levels at which purchases will be executed (e.g., every -5%). This approach is more selective and allows for buying at a “discount” compared to the market trend. Example: An investor decides to buy $200 worth of Bitcoin only when the price drops by at least 5% compared to the last entry. Challenges and Limitations 1. DCA May Reduce Profits in Bull Markets If the market is in an bullish trend, a single trade may be more profitable than spreading purchases over time or price dips. 2. Does Not Fully Remove Loss Risk DCA helps mitigate volatility but does not protect against long-term bearish trends. If an asset continues to decline for an extended period, positions will accumulate at lower values with no guarantee of recovery. 3. May Be Inefficient for Active Investors If an investor has the skills to identify better entry points (e.g., using technical or macroeconomic analysis), DCA might be less effective. Those who can spot market opportunities may achieve a better average entry price than an automatic DCA approach. 4. Does Not Take Full Advantage of Price Drops DCA does not allow aggressive buying during market dips since purchases are fixed at regular intervals. If the market temporarily crashes, an investor with available funds could benefit more by buying larger amounts at that moment. 5. Higher Transaction Costs Frequent small investments can lead to higher trading fees, which may reduce net returns. This is especially relevant in markets with fixed commissions or high spreads. 6. Risk of Overconfidence and False Security DCA is often seen as a “fail-proof” strategy, but it is not always effective. If an asset has weak fundamentals or belongs to a declining sector, DCA may only slow down losses rather than ensure future gains. 7. Requires Discipline and Patience DCA is only effective if applied consistently over a long period. Some investors may lose patience and leave the strategy at the wrong time, especially during market crashes.
Education
by thequantscience
EUR/USD Direction 1.10 - Technical and Fundamental Analysis📊 Market Context As of March 18, 2025, EUR/USD is in a strong bullish expansion phase, with the price testing significant resistance levels. The US dollar remains solid, but market attention is focused on the Federal Reserve and the ECB, with expectations of more accommodative monetary policies in the coming months. 🔍 Technical Analysis The chart analysis reveals a bullish trend with the following key points: Main Resistance: 1.0912 - 1.10 area (potential reversal zone highlighted in red on the chart). Key Supports: 1.0822 (former resistance now acting as support), 1.0360, and 1.0283 (deeper support levels highlighted in yellow). Market Structure: The price has tested the monthly resistance around 1.0912 and entered a potential reversal zone where significant price reactions are expected. Bullish Momentum: The trend shows strong bullish candles, indicating a possible continuation toward 1.10. 📌 Possible Scenario: If EUR/USD decisively breaks 1.0912 and closes above 1.10, there could be room for a further rally toward 1.12. 📌 Alternative Scenario: A rejection at resistance and a close below 1.0822 could trigger a bearish correction toward 1.0360. 🌍 Fundamental Analysis US Data: Consumer confidence in the United States has dropped to its lowest level since November 2022, increasing the likelihood of a Fed rate cut by June. Monetary Policy: The ECB is maintaining a more neutral stance, while the Fed may be forced to cut rates faster to support the economy. Capital Flow: The market is anticipating US dollar weakness due to the outlook for rate cuts, supporting a possible euro appreciation. 🎯 Conclusion Main Bias: Bullish above 1.0822, targeting 1.10 and beyond. Trend Invalidation: Below 1.0360, the bullish trend would weaken. EUR/USD could consolidate in this area before breaking above 1.10. The future direction will depend on upcoming central bank statements and macroeconomic data.
Long
by EdgeTradingJourney
1
The Two-Faced Market: The Truth Behind Trend Reversals!🎭 The Two-Faced Market: The Truth Behind Trend Reversals! 📊🚀 📢 Ever entered a trade thinking you caught the perfect trend , only to get stopped out as the market reversed? You're not alone. The market has a way of fooling traders—but if you understand its “two-faced” nature, you can stay one step ahead. 🔥 Why Trends Reverse (and How to Catch It Early!) Most traders believe trends reverse due to "news" or "randomness." But in reality, the market gives signals long before the turn happens. Here’s what to watch for: 🔹 Momentum Divergence: The price makes a new high, but indicators like RSI/MACD don’t. 🔹 Volume Anomaly: The trend continues, but volume dries up—a sign of weakness. 🔹 Failed Breakouts: Price breaks a key level, only to fall back inside—trapping traders. 🔹 Candlestick Clues: Reversal patterns like engulfing candles or wicks rejecting key levels appear. 🚀 Mastering these signals can put you ahead of 90% of traders. 📊 Real Example: XAU/ USD Trend Reversal in Action 🔎 Breakdown of the setup: ✅ Step 1: Identify a trend (through market structure, trendline or moving average). ✅ Step 2: Look for failed breakouts against the trend ✅ Step 3: Look for trend-following setups 🎯 The Market’s Game: Recognizing The Shift Trends don’t die suddenly—they fade before reversing. The best traders spot the early signs and position before the crowd. 💡 Have you spotted these reversal signs before? Drop a comment with your experience! 👇🔥 📚 Always follow your trading plan regarding entry, risk management, and trade management. Good luck! All Strategies Are Good; If Managed Properly! ~Rich Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
TRADENATION:XAUUSDEducation
by TheSignalyst
3
MSTR📊 MicroStrategy (NASDAQ: MSTR) – Technical & Simple Fundamental Analysis 1️⃣ Technical Analysis 🔍 Overall Trend Analysis Long-term uptrend remains intact, but the stock is currently in a pullback phase from its $500 peak. Testing 50-day EMA support ($238.91) – a key level for bulls to defend. Short-term momentum is bearish, with declining RSI and a bearish MACD crossover. 📌 Key Levels ✅ Support Zones: $230 - $240 → Testing 50-day EMA, crucial support. $180 - $200 → Stronger demand zone if $230 fails. $120 - $140 → Near 200-day EMA ($118.00), deeper correction level. Below $120 → Supports at $100, $80, $60, $40 (historical levels). 🚀 Resistance Zones: $280 - $300 → Immediate resistance after rejection. $340 - $360 → Next resistance from recent peaks. $420 - $500 → All-time high resistance. 📉 Indicators & Volume 📊 Moving Averages: 9-day EMA: $297.18 (short-term resistance). 20-day EMA: $297.58 (confirming short-term bearish trend). 50-day EMA: $238.91 (being tested as support). 200-day EMA: $118.00 (long-term uptrend remains intact). 📉 RSI (43.94) → Approaching oversold territory. 📉 MACD → Bearish crossover, showing downward momentum increasing. 📊 Volume → Selling volume increasing, but not extreme yet. 🔭 What to Watch Next (Technical) ✅ Bullish case: Price holds $230-$240 & reclaims $280. ⚠️ Bearish case: Break below $230 → Potential drop to $200 or lower. 2️⃣ Fundamental Analysis NASDAQ:MSTR (Simplified) 📌 Revenue: $57.53M (-3% YoY), Net Loss: -$670.8M in Q4 2024. 📌 Bitcoin Holdings: 478,740 BTC (~$45.1B market value, acquired for $31.1 billion). 📌 Capital Raising: Issuing $21B in preferred securities to fund further Bitcoin purchases. 📌 Stock Performance: Down last 3 months 📌 Workforce Cuts: Laid off 20.7% of employees in 2024. 📌 Rebranding: Now officially called "Strategy", symbolizing its Bitcoin-focused direction. 🔭 What to Watch Next (Fundamental) ✅ Bitcoin price movement – heavily influences MSTR. ✅ Earnings improvements – need to reduce losses. ✅ Institutional buying trends – support or sell-off? 🔥 Final Thoughts: MSTR is at a critical support zone. If Bitcoin remains strong, a bounce is possible. However, a breakdown below $230 could trigger deeper downside. 🚀📊
NASDAQ:MSTRShort
by monkreet
$1.51 to $3.25 casually DOUBLED while rest of the market crashes$1.51 to $3.25 casually DOUBLED today after being mentioned in chat many times Sweet catch on NASDAQ:HMR 👏🤑 All while the rest of the market continues to hits new lows on a big red day NASDAQ:TSLA NASDAQ:NVDA AMEX:SPY NASDAQ:QQQ AMEX:DIA NASDAQ:META NASDAQ:AMZN NASDAQ:GOOG Got to love these type of stocks AEON 1.26 - 1.33 (+5.5%) HMR 3.02 - 3.16 (+4.6%) Total profit today: +10.1% Nice profit today again while the rest of the market goes into deeper red. Bulletproof strategy delivers again, no matter the overall market conditions. Congrats! See you in the morning!
NASDAQ:HMR
by ProfitTradeRoom
Goldman Sachs - Too Cheap to Ignore?NYSE:GS and the general financial services sector as a whole has faced extreme trauma over this past month. However, one that particularly stands out is the "bad guy" of the industry who has taken the equivalent to a roundhouse kick to the face, and the chart shows it. But does this mean that someone looking for a dip shouldn't pick up strong equity on a discount? I say no, lets be greedy while other are fearful just like that one guy said. Warren something... I don't really remember his name. Let's examine the numbers before we do the finance equivalent of astrology. This means that value investing and it's rather elementary techniques are going to give us some sort of indicator of a buy or a sell. Here's what you need to know. 1. Sachs has an attractive dividend yield of 2.14% ($11.50/share) and a gleaming dividend payout ratio (DPR) of 21.50%. 2. It is far from its high annual EPS sitting at 41.21 sliding from its high last December at 60.35. 3. It's price to earnings ratio (PE) is lounging nicely at 14.00 meaning we are at a generally cheap share price. This metric is what we're looking for. 4. Unfortunately, it has a rather higher price to book ratio (PB) at 1.64 which somewhat contradicts the PE ratio examined in #3. 5. Other metrics to keep in mind is an EV/EBITDA at 53.90 and a PEG at 16.23 which are both considered undesirable to investors. So as far as statistics are concerned, Goldman is sending some mixed signals making a decision difficult at the moment. This means we're going to have to examine the general sector sentiment and general outlook. Firstly, I'd like to point out Goldman's enterprise value. Sachs' EV is currently reported at 855.93 billion, 673 billion (78.63%) being debt (long term or short). This means NYSE:GS is a debt heavy company and we all know how debt works (the entity taking on the debt owes principal + interest). Well, this means that NYSE:GS is heavily going to be influenced by interest rates even considering their strong revenue. So, if we plan on interest rates being lowered long term (which I'm sure we all do), Goldman will be able to borrow from the Fed at a cheaper interest price while simultaneously owing account holders and bond holders less in interest (or APY yield for that matter). However, in the event that inflation runs wild and the Fed raises rates, NYSE:GS will face some turmoil along with the other commercial investment banks. Great, so now for the fun part. Let's see what the charts have to say about this and what it could be implying. Here is the 4H chart looking back into last October. As you can see, Goldman posted a sweet rally followed by our current pullback. However, we are being flashed with various bullish technical patterns and a strong explanation for the drop (even considering the tariffs threats and indices pullback). In summary, we are examining a stock in gradual freefall towards what appears to be several safety nets. On a psychological level, I find that most investors in the business of "smart money" wont let Goldman drop too low before they put their boot down. I also imagine this will happen pretty soon, but we need to hold the $540 price level. As far as the MACD is concerned, we are experiencing weakness from the buyers are the bears are clearly on offense. And lastly, the GS implied volatility shows that options traders aren't pricing in anything particularly unusual, and the most usual movement for the market is to climb higher so that's good news. So, what's the conclusion. In my humble opinion, I believe that Goldman Sachs' stock is trading too low to not buy. Financially, the company is not showing anything particularly concerning and may just need to show some strength before the mass cash chases this play. As of right now, I am long on NYSE:GS considering the financial statistics, general industry sentiment, and technical analysis which was used as an assistance tool. This trade could be last anywhere from 1 day to 1 year, but I am prepared to hold for much longer.
NYSE:GSLong
by addatheriver0808
Lunar Signal Generator My Lunar signal generator uses a sinusoidal wave which is matched in frequency to the sinusoidal motion of the moon. The indicator is based on research which suggests that there are increased returns on days surrounding the new moon and decreased returns on days surrounding the full moon. The indicator represents a two week trading strategy and prints buy signals before the new moon, and prints sell signals on the full moon. If used as a trading strategy the 5 & 10 year win rates are 70%, profitability is dependent on your choice of stoploss. I suggest a 9% Stoploss however this is discretionary. Can be used on any financial product, however it works best on large cap equities. Just place on any chart, and trade according to the buy and sell signals Check out my website, (press the little globe below my profile description) Please reach out for any questions/concerns
NASDAQ:AAPLLong
by Kinetic-Capital
OMNICHART presents => NFLX - long term trendNetflix is still in an upward channel - in a long term bullish trend. In the coming months if it meets the support line and bounces off then that would be the time to buy leaps or scale into additional long term positions. Or start scaling in along with a put spread/s until the support line for a year. A tweak in the trade do make additional income would be to sell put at the support line for every week or month and most likely it will expire worth less and then sell a subsequent put (for week or month) at a point higher on the support line , basically keep selling your puts on the support line as time moves along and the price is above the support line. This was you might just cover the price of the long put you bought today and even make additional income. And if the stock goes up you are still making money. This buys you additional protection for free based on how disciplined you are with managing the put spread (especially the short end of it).
NASDAQ:NFLXLong
by omnitrade
Multi-Timeframe XGBoost Approximation Templatewww.tradingview.com Template Name:XGBoost Approx Core Idea: This strategy attempts to mimic the output of an XGBoost model (a powerful machine learning algorithm) by combining several common technical indicators with the Rate of Change (ROC) , MACD, RSI and EMA across multiple timeframes. It uses a weighted sum of normalized indicators to generate a "composite indicator," and trades based on this indicator crossing predefined thresholds. The multi-timeframe ROC acts as a trend filter. Key Features and How They Work: Multi-Timeframe Analysis (MTF): This is the heart of the strategy. It looks at the price action on three different timeframes: Trading Timeframe (tradingTF): The timeframe you're actually placing trades on (e.g., 1-minute, 5-minute, 1-hour, etc.). You set this directly in the strategy's settings. This is the most important timeframe. Lower Timeframe (selectedLTF): A timeframe lower than your trading timeframe. Used to catch early signs of trend changes. The script automatically selects an appropriate lower timeframe based on your trading timeframe. This is primarily used for a more sensitive ROC filter. Current Timeframe (tradingTF): The strategy uses the current (trading) timeframe, to include it in the ROC filter. Higher Timeframe (selectedHTF): A timeframe higher than your trading timeframe. Used to confirm the overall trend direction. The script automatically selects this, too. This is the "big picture" timeframe. The script uses request.security to get data from these other timeframes. The lookahead=barmerge.lookahead_on part is important; it prevents the strategy from "peeking" into the future, which would make backtesting results unrealistic. Indicators Used: SMA (Simple Moving Average): Smooths out price data. The strategy calculates a normalized SMA, which essentially measures how far the current SMA is from its own average, in terms of standard deviations. RSI (Relative Strength Index): An oscillator that measures the speed and change of price movements. Normalized similarly to the SMA. MACD (Moving Average Convergence Divergence): A trend-following momentum indicator. The strategy uses the difference between the MACD line and its signal line, normalized. ROC (Rate of Change): Measures the percentage change in price over a given period (defined by rocLength). This is the key indicator in this strategy, and it's used on all three timeframes. Volume: The strategy considers the change in volume, also normalized. This can help identify strong moves (high volume confirming a price move). Normalization: Each indicator is normalized. This is done by subtracting the indicator's average and dividing by its standard deviation. Normalization puts all the indicators on a similar scale (roughly between -3 and +3, most of the time), making it easier to combine them with weights. Weights: The strategy uses weights (e.g., weightSMA, weightRSI, etc.) to determine how much influence each indicator has on the final "composite indicator." These weights are crucial for the strategy's performance. You can adjust them in the strategy's settings. Composite Indicator: This is the weighted sum of all the normalized indicators. It's the strategy's main signal generator. Thresholds: The buyThreshold and sellThreshold determine when the strategy enters a trade. When the composite indicator crosses above the buyThreshold, it's a potential buy signal. When it crosses below the sellThreshold, it's a potential sell signal. Multi-Timeframe ROC Filter: The strategy uses a crucial filter based on the ROC on all selected timeframes. For a long trade, the ROC must be positive on all three timeframes (ltf_roc_long, ctf_roc_long, htf_roc_long must all be true). For a short trade, the ROC must be negative on all three timeframes. This is a strong trend filter. Timeframe Filter Selection The script intelligently chooses filter timeframes (selectedLTF, selectedHTF) based on the tradingTF you select. This is done by the switch_filter_timeframes function: Trading Timeframe (tradingTF) Lower Timeframe Filter (selectedLTF) Higher Timeframe Filter (selectedHTF) 1 minute 60 minutes (filterTF1) 60 minutes (filterTF1) 5 minute 240 minutes (filterTF2) 240 minutes (filterTF2) 15 minute 240 minutes (filterTF2) 240 minutes (filterTF2) 30 minute, 60 minute 1 Day (filterTF3) 1 Day (filterTF3) 240 minute (4 hour) 1 Week (filterTF4) 1 Week (filterTF4) 1 Day 1 Month (filterTF5) 1 Month (filterTF5) 1 Week 1 Month (filterTF5) 1 Month (filterTF5) How to Use and Optimize the Strategy (Useful Hints): Backtesting: Always start by backtesting on historical data. TradingView's Strategy Tester is your best friend here. Pay close attention to: Net Profit: The most obvious metric. Max Drawdown: The largest peak-to-trough decline during the backtest. This tells you how much you could potentially lose. Profit Factor: Gross profit divided by gross loss. A value above 1 is desirable. Win Rate: The percentage of winning trades. Sharpe Ratio: Risk-adjusted return. A Sharpe Ratio above 1 is generally considered good. **Sortino Ratio:**Similar to Sharpe but it only takes the standard deviation of the downside risk. Timeframe Selection: Experiment with different tradingTF values. The strategy's performance will vary greatly depending on the timeframe. Consider the asset you're trading (e.g., volatile crypto vs. a stable stock index). The preconfigured filters are a good starting point. Weight Optimization: This is where the real "tuning" happens. The default weights are just a starting point. Here's a systematic approach: Start with the ROC Weights: Since this is a ROC-focused strategy, try adjusting weightROC_LTF, weightROC_CTF, and weightROC_HTF first. See if increasing or decreasing their influence improves results. Adjust Other Weights: Then, experiment with weightSMA, weightRSI, weightMACD, and weightVolume. Try setting some weights to zero to see if simplifying the strategy helps. Use TradingView's Optimization Feature: The Strategy Tester has an optimization feature (the little gear icon). You can tell it to test a range of values for each weight and see which combination performs best. Be very careful with optimization. It's easy to overfit to past data, which means the strategy will perform poorly in live trading. Walk-Forward Optimization: A more robust form of optimization. Instead of optimizing on the entire dataset, you optimize on a smaller "in-sample" period, then test on a subsequent "out-of-sample" period. This helps prevent overfitting. TradingView doesn't have built-in walk-forward optimization, but you can do it manually. Threshold Adjustment: Experiment with different buyThreshold and sellThreshold values. Making them more extreme (further from zero) will result in fewer trades, but potentially higher-quality signals. Filter Control (useLTFFilter, useCTFFilter, useHTFFilter): These booleans allow you to enable or disable the ROC filters for each timeframe. You can use this to simplify the strategy or test the importance of each filter. For example, you could try disabling the lower timeframe filter (useLTFFilter = false) to see if it makes the strategy more robust. Asset Selection: This strategy may perform better on some assets than others. Try it on different markets (stocks, forex, crypto, etc.) and different types of assets within those markets. Risk Management: pyramiding = 0: This prevents the strategy from adding to existing positions. This is generally a good idea for beginners. default_qty_type = strategy.percent_of_equity and default_qty_value = 100: This means the strategy will risk 100% of your equity on each trade. This is extremely risky! Change this to a much smaller percentage, like 1 or 2. You should never risk your entire account on a single trade. Save Trading Always use a demo account first. Use a small percentage of equity. Use a stop-loss and take-profit orders. Example Optimization Workflow: Set tradingTF: Choose a timeframe, e.g., 15 (15 minutes). Initial Backtest: Run a backtest with the default settings. Note the results. Optimize ROC Weights: Use TradingView's optimization feature to test different values for weightROC_LTF, weightROC_CTF, and weightROC_HTF. Keep the other weights at their defaults for now. Optimize Other Weights: Once you have a good set of ROC weights, optimize the other weights one at a time. For example, optimize weightSMA, then weightRSI, etc. Adjust Thresholds: Experiment with different buyThreshold and sellThreshold values. Out-of-Sample Testing: Take the best settings from your optimization and test them on a different period of historical data (data that wasn't used for optimization). This is crucial to check for overfitting. Filter Testing: Systematically enable/disable the time frame filters (useLTFFilter, useCTFFilter, useHTFFilter) to see how each impacts performance.
by fenyesk
CAD/JPY Analysis – Key Levels & Market Drivers📉 Bearish Context & Key Resistance Levels: Major Resistance at 108.32 Price previously rejected from this strong supply zone. Moving averages (yellow & red lines) are acting as dynamic resistance. Short-term Resistance at 106.00-107.00 Failed bullish attempt, leading to a strong reversal. A break above this area is needed to shift momentum bullishly. 📈 Bullish Context & Key Support Levels: Support at 102.00-101.50 (Demand Zone) Significant buyer interest in this area. If the price reaches this zone, a potential bounce could occur. Deeper Support at 99.00-100.00 If 102.00 fails, the next demand level is in the high 90s, marking a critical long-term support. 📉 Current Market Outlook: CAD/JPY is in a strong downtrend, consistently making lower highs and lower lows. The price is testing key support areas, and further movement depends on upcoming economic events. A potential bounce could occur at 102.00, but failure to hold could trigger further declines toward 99.00. 📰 Fundamental Analysis & Market Drivers 🔹 Bank of Canada (BoC) Interest Rate Decision – March 12, 2025 Expected rate cut from 3.00% to 2.75% → Bearish for CAD. A dovish stance signals weakness in the Canadian economy, potentially pushing CAD/JPY lower. If the BoC provides an aggressive rate cut or hints at further easing, the downtrend could continue. 🔹 Japan Current Account (January) – March 7, 2025 Expected at 370B JPY (significantly lower than previous 1077.3B JPY). A lower-than-expected surplus may weaken JPY, slightly offsetting CAD weakness. If JPY remains strong despite this data, CAD/JPY could fall further toward 101.50-100.00. 📈 Potential Trading Setups: 🔻 Short Setup (Bearish Bias): Entry: Below 103.00, confirming further weakness. Target 1: 102.00 Target 2: 100.00 Stop Loss: Above 104.50 to avoid volatility spikes. 🔼 Long Setup (Bullish Scenario - Retracement Play): Entry: Strong bullish rejection from 102.00 Target 1: 105.00 Target 2: 108.00 Stop Loss: Below 101.50 to limit downside risk. 📌 Final Thoughts: The BoC rate decision will likely be bearish for CAD, increasing downward pressure on CAD/JPY. The Japan Current Account data could provide temporary support for JPY but is unlikely to fully reverse the trend. 102.00-101.50 is a key buying zone, while failure to hold could drive the pair toward 99.00-100.00. 🚨 Key Watch Zones: 102.00 Support & 108.00 Resistance – Strong moves expected!
Long
by EdgeTradingJourney
1
XAU/USD Analysis & Market Insights📉 Bearish Context & Key Resistance Levels: Major Resistance at 2,934.00 Strong supply zone where price has previously rejected. Multiple tests of this area indicate seller pressure. Short-term Resistance at 2,920-2,925 Price is consolidating near this zone. A rejection could lead to a downward move. 📈 Bullish Context & Key Support Levels: Support at 2,846.88 - 2,832.72 (Demand Zone) Strong reaction zone where buyers stepped in. Previous price action suggests liquidity in this area. Deeper Support at 2,720-2,680 If 2,832 breaks, this is the next key demand area. Aligned with moving averages, adding confluence. 📉 Current Market Outlook: Price recently bounced from the 2,846-2,832 support, showing buyers’ presence. However, the 2,920-2,925 area is acting as resistance. If the price fails to break higher, a move back toward 2,846 or even 2,720 is possible. 📈 Potential Trading Setups: 🔻 Short Setup (Bearish Bias): Entry: Below 2,920 after a clear rejection. Target 1: 2,846 Target 2: 2,832, with possible extension to 2,720. Stop Loss: Above 2,935 to avoid fakeouts. 🔼 Long Setup (Bullish Scenario): Entry: Break and hold above 2,934.00 with confirmation. Target 1: 2,960 Target 2: 3,000+ Stop Loss: Below 2,915 to minimize risk. 📰 Fundamental Analysis & Market Drivers 1️⃣ US ISM Services PMI & ADP Jobs Report: The ISM Services PMI increased to 53.5, signaling stronger services inflation and employment. However, the ADP Employment Report showed a disappointing 77K jobs, far below the expected 140K, weighing on the USD. 2️⃣ Trump’s Tariffs & USD Weakness: Trump announced massive tariffs on trade partners, affecting risk sentiment. While he downplayed negative effects, US Commerce Secretary Howard Lutnick hinted at potential tariff rollbacks, boosting risk appetite. This weakened the USD, allowing gold to rise. 3️⃣ Upcoming ECB Decision: The ECB is expected to cut rates by 25 bps on Thursday, which could further impact market sentiment and gold’s direction. If the rate cut weakens the EUR, gold could see more upside. 📌 Final Thoughts: 2,920-2,925 remains a key resistance for short-term direction. A break above 2,934 could signal bullish continuation. A rejection from current levels could push price back toward 2,846 or lower. Fundamentals favor gold's strength as the USD weakens due to poor job data and trade uncertainty. 🚀 Key Decision Zone: Watch price action near 2,920-2,925!
OANDA:XAUUSDShort
by EdgeTradingJourney
1
Effective inefficiencyStop-Loss. This combination of words sounds like a magic spell for impatient investors. It's really challenging to watch your account get smaller and smaller. That's why people came up with this magic amulet. Go to the market, don't be afraid, just put it on. Let your profits run, but limit your losses - place a Stop-Loss order. Its design is simple: when the paper loss reaches the amount agreed upon with you in advance, your position will be closed. The paper loss will become real. And here I have a question: “ Does this invention stop the loss? ” It seems that on the contrary - you take it with you. Then it is not a Stop-Loss, but a Take-Loss. This will be more honest, but let's continue with the classic name. Another thing that always bothered me was that everyone has their own Stop-Loss. For example, if a company shows a loss, I can find out about it from the reports. Its meaning is the same for everyone and does not depend on those who look at it. With Stop-Loss, it's different. As many people as there are Stop-Losses. There is a lot of subjectivity in it. For adherents of fundamental analysis, all this looks very strange. I cannot agree that I spent time researching a company, became convinced of the strength of its business, and then simply quoted a price at which I would lock in my loss. I don't think Benjamin Graham would approve either. He knew better than anyone that the market loved to show off its madness when it came to stock prices. So Stop-Loss is part of this madness? Not quite so. There are many strategies that do not rely on fundamental analysis. They live by their own principles, where Stop-Loss plays a key role. Based on its size relative to the expected profit, these strategies can be divided into three types. Stop-Loss is approximately equal to the expected profit size This includes high-frequency strategies of traders who make numerous trades during the day. These can be manual or automated operations. Here we are talking about the advantages that a trader seeks to gain, thanks to modern technical means, complex calculations or simply intuition. In such strategies, it is critical to have favorable commission conditions so as not to give up all the profits to maintaining the infrastructure. The size of profit and loss per trade is approximately equal and insignificant in relation to the size of the account. The main expectation of a trader is to make more positive trades than negative ones. Stop-Loss is several times less than the expected profit The second type includes strategies based on technical analysis. The number of transactions here is significantly less than in the strategies of the first type. The idea is to open an interesting position that will show enough profit to cover several losses. This could be trading using chart patterns, wave analysis, candlestick analysis. You can also add buyers of classic options here. Stop-Loss is an order of magnitude greater than the expected profit The third type includes arbitrage strategies, selling volatility. The idea behind such strategies is to generate a constant, close to fixed, income due to statistically stable patterns or extreme price differences. But there is also a downside to the coin - a significant Stop-Loss size. If the system breaks down, the resulting loss can cover all the earned profit at once. It's like a deposit in a dodgy bank - the interest rate is great, but there's also a risk of bankruptcy. Reflecting on these three groups, I formulated the following postulate: “ In an efficient market, the most efficient strategies will show a zero financial result with a pre-determined profit to loss ratio ”. Let's take this postulate apart piece by piece. What does efficient market mean? It is a stock market where most participants instantly receive information about the assets in question and immediately decide to place, cancel or modify their order. In other words, in such a market, there is no lag between the appearance of information and the reaction to it. It should be said that thanks to the development of telecommunications and information technologies, modern stock markets have significantly improved their efficiency and continue to do so. What is an effective strategy ? This is a strategy that does not bring losses. Profit to loss ratio is the result of profitable trades divided by the result of losing trades in the chosen strategy, considering commissions. So, according to the postulate, one can know in advance what this ratio will be for the most effective strategy in an effective market. In this case, the financial result for any such strategy will be zero. The formula for calculating the profit to loss ratio according to the postulate: Profit : Loss ratio = %L / (100% - %L) Where %L is the percentage of losing trades in the strategy. Below is a graph of the different ratios of the most efficient strategy in an efficient market. For example, if your strategy has 60% losing trades, then with a profit to loss ratio of 1.5:1, your financial result will be zero. In this example, to start making money, you need to either reduce the percentage of losing trades (<60%) with a ratio of 1.5:1, or increase the ratio (>1.5), while maintaining the percentage of losing trades (60%). With such improvements, your point will be below the orange line - this is the inefficient market space. In this zone, it is not about your strategy becoming more efficient, you have simply found inefficiencies in the market itself. Any point above the efficient market line is an inefficient strategy . It is the opposite of an effective strategy, meaning it results in an overall loss. Moreover, an inefficient strategy in an efficient market makes the market itself inefficient , which creates profitable opportunities for efficient strategies in an inefficient market. It sounds complicated, but these words contain an important meaning - if someone loses, then someone will definitely find. Thus, there is an efficient market line, a zone of efficient strategies in an inefficient market, and a zone of inefficient strategies. In reality, if we mark a point on this chart at a certain time interval, we will get rather a cloud of points, which can be located anywhere and, for example, cross the efficient market line and both zones at the same time. This is due to the constant changes that occur in the market. It is an entity that evolves together with all participants. What was effective suddenly becomes ineffective and vice versa. For this reason, I formulated another postulate: “ Any market participant strives for the effectiveness of his strategy, and the market strives for its own effectiveness, and when this is achieved, the financial result of the strategy will become zero ”. In other words, the efficient market line has a strong gravity that, like a magnet, attracts everything that is above and below it. However, I doubt that absolute efficiency will be achieved in the near future. This requires that all market participants have equally fast access to information and respond to it effectively. Moreover, many traders and investors, including myself, have a strong interest in the market being inefficient. Just like we want gravity to be strong enough that we don't fly off into space from our couches, but gentle enough that we can visit the refrigerator. This limits or delays the transfer of information to each other. Returning to the topic of Stop-Loss, one should pay attention to another pattern that follows from the postulates of market efficiency. Below, on the graph (red line), you can see how much the loss to profit ratio changes depending on the percentage of losing trades in the strategy. For me, the values located on the red line are the mathematical expectation associated with the size of the loss in an effective strategy in an effective market. In other words, those who have a small percentage of losing trades in their strategy should be on guard. The potential loss in such strategies can be several times higher than the accumulated profit. In the case of strategies with a high percentage of losing trades, most of the risk has already been realized, so the potential loss relative to the profit is small. As for my attitude towards Stop-Loss, I do not use it in my stock market investing strategy. That is, I don’t know in advance at what price I will close the position. This is because I treat buying shares as participating in a business. I cannot accept that when crazy Mr. Market knocks on my door and offers a strange price, I will immediately sell him my shares. Rather, I would ask myself, “ How efficient is the market right now and should I buy more shares at this price? ” My decision to sell should be motivated not only by the price but also by the fundamental reasons for the decline. For me, the main criterion for closing a position is the company's profitability - a metric that is the same for everyone who looks at it. If a business stops being profitable, that's a red flag. In this case, the time the company has been in a loss-making state and the size of the losses are considered. Even a great company can have a bad quarter for one reason or another. In my opinion, the main work with risks should take place before the company gets into the portfolio, and not after the position is opened. Often it doesn't even involve fundamental business analysis. Here are four things I'm talking about: - Diversification. Distribution of investments among many companies. - Gradually gaining position. Buying stocks within a range of prices, rather than at one desired price. - Prioritization of sectors. For me, sectors of stable consumer demand always have a higher priority than others. - No leverage. I propose to examine the last point separately. The thing is that the broker who lends you money is absolutely right to be afraid that you won’t pay it back. For this reason, each time he calculates how much his loan is secured by your money and the current value of the shares (that is, the value that is currently on the market). Once this collateral is not enough, you will receive a so-called margin call . This is a requirement to fund an account to secure a loan. If you fail to do this, part of your position will be forcibly closed. Unfortunately, no one will listen to the excuse that this company is making a profit and the market is insane. The broker will simply give you a Stop-Loss. Therefore, leverage, by its definition, cannot be used in my investment strategy. In conclusion of this article, I would like to say that the market, as a social phenomenon, contains a great paradox. On the one hand, we have a natural desire for it to be ineffective, on the other hand, we are all working on its effectiveness. It turns out that the income we take from the market is payment for this work. At the same time, our loss can be represented as the salary that we personally pay to other market participants for their efficiency. I don't know about you, but this understanding seems beautiful to me.
NASDAQ:TSLAEducation
by Be_Capy