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Trusting Your System After a Losing StreakTrusting Your System After a Losing Streak Welcome everybody to another educational article. Today we are covering one of the hardest moments every trader, beginner, novice or pro will face: “Trusting your system after a losing streak.” This is where most traders ditch profitable systems not because the system failed, but because emotion took control and said “I am Losing with this” Trusting your system after a losing streak is not about blind belief. It is about understanding probability, psychology, and discipline. What Is a Trading System? A trading system is a set of clearly defined rules that control: • Entries • Exits • Risk management • Trade management A system removes emotion and replaces it with structure. An EDGE that works best for you. What Is a Losing Streak? A losing streak is a series of losing trades that occur within normal probability. Losing streaks are not failure, they are a statistical reality in trading. (They are needed) Profitable system experience drawdown. Gaining Trust in a System: Trust is not given it is built. You build trust in a system by: • Clearly defining system rules • Back testing across different market conditions • Forward testing in demo or small size • Tracking performance over a large sample size Testing proves that losses are part of the system not a sign is not broken. When you have seen the data, losses stop feeling personal. Losing Trust in a System Traders lose trust in their system when emotion overrides logic. This often happens when: • A losing streak appears unexpectedly • Results don’t match recent performance • Social media shows others “winning” • Patience runs out Instead of reviewing data, traders: • Change strategies weekly • Mix systems together • Add random indicators • Chase the next “better” setup This strategy-hopping resets progress and prevents mastery. Maintaining Trust After a Losing Streak Maintaining trust is purely mental. You must control the urge to react emotionally. Even when trades lose, you still benefit. Every loss provides: • More data • More clarity • More understanding of system strengths and weaknesses Losing streaks often occur because: • Market conditions change • Volatility shifts • Structure transitions These periods allow you to adapt, refine, and improve your strategy. Trading Is Not Judged Only by Money We live in a world where success is measured by money. Trading is different. A trade is not defined by profit or loss, it is defined by execution. As mentioned in previous posts: Positive Wins vs Negative Wins A positive win: • Making money while following the plan • Hitting a target and stopping for the day A negative win: • Hitting stop loss • Accepting it • Closing the platform • Being done for the day It may feel frustrating — but discipline is strengthened. That frustration is growth. Losses Are Data, Not Failure By following your rules even when you lose, you strengthen your system. You did not receive a money return you received a data return. That data: • Refines your edge • Improves your entries • Strengthens your confidence • Leads to long-term profitability Every losing trade is an investment in future performance. Losing streaks do not mean your system is broken. They mean the system is being tested. Trust is built through: • Data • Discipline • Consistency • Emotional control Traders who survive losing streaks grow. Traders who react emotionally reset themselves. Trust the process. Respect the data. Stay disciplined. That’s how profitable traders are made.
Education
by King_BennyBag
19
The Simplest Trading Strategy Nobody Talks AboutOpen charts. Open six timeframes. Start “analyzing.” and end up more confused than when you started. Daily, 4H, 1H, 15M, 5M, even M1… and somehow you still missed the real move? Its because, you are looking everywhere and nowhere at the same time. Problem is not having a simple repeatable plan, so you keep searching for certainty. And the more you search, the more anxious you get. Then you start trading feelings instead of data. Here is a clean and simple framework which allows you check the charts once per day at 9:30 Same process. Same trigger. Same execution.And most importantly: if the market doesn’t do what we waiting for, you don’t trade. Period. No more stress guess work and wasted time on computer. 🧪 Daily Sweep (manipulation) Levels to Watch - Daily highs / Lows Execution Timeframe - M15 / M5 / M3 Confirmation: CIOD - M15 / M5 SL Placement: Above / Below manipulated H/L Target: fixed 2R - No overthinking 2R and get out. Instruments: NAS100, US500, US30, GER40 Trading time : 9 - 11 CET 💢 This structure removes all the subjective decisions we traders love to make: No more “maybe it’ll reverse here.” No more “I think it looks strong.” No more hunting entries for hours. 🧪 The whole concept is built around three steps: 1. Direction (Daily Bias) 2. Manipulation (Liquidity) 3. Execution (Rule based + fixed target) 🧩 Step 1: Daily Bias It's not just random buying and selling daily highs and lows. It has to go with the daily / weekly bias based on the liquidity. It's not dificult. Just look how Daily Candles are closing and follow it. I will explain it below. ⁉️Where is the liquidity ? Always follow the Daily / Weekly candle close. 📈 Continuation If todays daily candle closed above previous days high and its still not reaching the key level, then liquidity is above todays high. Why ? Because people have intentions to sell highs to early, so and price will most likely go there. So we are bullish. Bullish Close 📈 Reversal If todays candle wicked above previous day high, but closed below , then we can expect liquidity is below Previous days low. Why? Because mostl likely traders entered fake high break out they put SL below days low. It's signs of reversal. 📌Reversal Setup first lets have a look to the reversal. We want see a candle high being taken and closed below. In that case draw on liquidity is below the daily low. Sign of reversal. So we can position ourselves in a trade as described on the picture, wick above and close inside is not enough for the signifcant HTF reversal. But its enough for our continuation setup, 📌Continuation setup We want to see bullish candle close above previous days high and not liquidity taken above that wick. Then we can assume that liquidity is still resting above and we want to position ourselves during the LTF reversal in the direction of the HTF liquidity. 📌 Continuation LTF reversal timing same case now you must already see it bullish close above PDH and that high was not swept so liquidity is still above , next day is inside candle once price dips below inside candle low we cans spot reversal setup on LTF and by creation of order block we enter the position during the NY session manipulation ‼️ Remember : You’re not predicting the future. You’re following what the market already printed. 🧩 Step 2: Wait for the manipulation of Daily H/L and rejection( This is where most traders mess up. No manipulation - No trade. We are focusing solely to the US session it comes usually at 9:30 US time. This is only time you are looking for the setups. This prevents you form sitting by charts whole day and give you a momentum to your trades during active hours of NY session. In other words you want see manipulation of daily Highs. / Lows around 9:30 US time. Thats your strategy. ‼️ Important detail - CIOD: you wait for the close, If it hasn’t closed back inside the range and bellow consecutive up candles that created manipulation then it’s not confirmed.A wick alone is not enough. I don’t care how “perfect” it looks mid-candle. I want the close. ❌ No sweep, no trade This is the rule that saves you from overtrading. If price doesn’t raid the swing level and fail, you don’t have your setup. So you stay out. 🧩 Step 3: Drop to lower timeframe only AFTER confirmation This part changed my execution.Before, I’d bounce between timeframes all day with no reason. I’d see something on 5M, panic, jump to 1M, enter like a maniac, get stopped, then watch it run. 🧪 CIOD - Change in Order flow - Order block A down-close candle (before an impulsive move up) that acts as the “last sell” before Or the opposite for shorts. 🛡️ Risk Management - This is key To keep it going long therm. 🧪 Max 2 attempts. If trade 1 loses, trade 2 uses half risk. 🧪 Your max daily loss is -1.5R Trade 1: -1R Trade 2: -0.5R 🧪 Time is important If you take these setups during dead hours, you’ll convince yourself the model “doesn’t work.” Time filters are part of the strategy, not an optional add-on. 🧪 Daily Processes 1. Mark swing highs and swing lows. 2. Decide your bias for tomorrow: mainly buys or mainly sells. 3. Wait for price to sweep a prior swing level. 4. Require the close back inside the range. 5. Only then go to 5M and execute using your entry model. 6. Fixed RR. Max 2 attempts. Done. 📒 You have a checklist. And the market either gives it to you or it doesn’t. That’s the point. Most traders fail because they treat trading like a constant activity. This turns it into a conditional activity. 📉 Backtesting advice (so you actually trust it) If you want this to become real for you, don’t just read it and feel motivated. Go chart by chart and log: - Market bias (based on swing points) - Was there a sweep? - Did it close back inside the range? - What entry model did you use? - RR result - Time of day 💊 After 20–30 examples you’ll start seeing it everywhere. 💊After 100 examples you’ll stop hesitating. 🎯 When you stop hesitating, you stop improvising. 🎯 When you stop improvising, you stop donating money to the market. I promised myself I’d become the person I once needed the most as a beginner. Below are links to a powerful lessons I shared on Tradingview. Hope it can help you avoid years of trial and error I went thru. 📊 Sharpen your trading Strategy ⚙️ 100% Mechanical System - Complete Strategy 🔁 Daily Bias – Continuation 🔄 Daily Bias – Reversal 🧱 Key Level – Order Block 📉 How to Buy Lows and Sell Highs 🎯 Dealing Range – Enter on pullbacks 💧 Liquidity – Basics to understand 🕒 Timeframe Alignments 🚫 Market Narratives – Avoid traps 🐢 Turtle Soup Master – High reward method 🧘 How to stop overcomplicating trading 🕰️ Day Trading Cheat Code – Sessions 🇬🇧 London Session Trading 🔍 SMT Divergence – Secret Smart Money signal 📐 Standard Deviations – Predict future targets 🎣 Stop Hunt Trading 💧 Liquidity Sweep Mastery 🔪 Asia Session Setups 📀 Gold Strategy 🧠 Level Up & Mindset 🛕 Monk Mode – Transition from 9–5 to full-time trading ⚠️ Trading Enemies – Habits that destroy success 🔄 Trader’s Routine – Build discipline daily 💪 Get Funded - $20 000 Monthly Plan 🧪 Winning Trading Plan ⭕ Backtesting vs Reality 🛡️ Risk Management 🏦 Risk Management for Prop Trading 📏 Risk in % or Fixed Position Size 🔐 Risk Per Trade – Keep consistency 🧪 Risk Reward vs Win Ratio 💎 Catch High Risk Reward Setups ☯️ Smart Money - Who control Markets Adapt useful, Reject useless and add what is specifically yours. David Perk 5.png
FUSIONMARKETS:NAS100Education
by David_Perk
34
Mastering Technical:DXY Elliott Wave & Multi-Indicators AnalysisTechnical Analysis: DXY Bearish Confluence This post serves as an educational guide on how various technical analysis tools converge to suggest a strong potential for a continued downtrend in the U.S. Dollar Index (DXY) on the 4-hour timeframe. Elliott Wave Structure & Bearish Bias The prevailing Elliott Wave count suggests the DXY is currently completing a corrective minor wave 4 rally within a larger five-wave impulse sequence to the downside. The market bias remains bearish, anticipating the onset of a significant minor wave 5 decline once the current wave 4 correction finishes. Dow Theory & Price Action Confirmation Dow Theory principles support the bearish outlook. The price action is clearly establishing a pattern of lower lows and lower highs, a classic signature of an active downtrend. The current rally (wave 4) is simply a higher low correction within this established structure, confirming the overall market direction is down. Key Confluence Points for Resistance Multiple technical indicators are clustering at a specific price zone, suggesting a high-probability area where the rally might reverse: 200 EMA Resistance: The price is trading below the 200-period Exponential Moving Average (EMA) on the 4-hour chart. This indicator is positioned just above the current price and is expected to provide significant dynamic resistance (a "hurdle") to the upside. Fibonacci Retracement Alignment: The crucial 61.8% Fibonacci retracement level of the last major swing low is located very near the 200 EMA. This strong overlap of resistance levels increases the likelihood of a price reversal. Divergence Analysis Divergences between price and oscillators further reinforce the bearish sentiment: Hidden Bearish Divergence: There is existing hidden bearish divergence present. This is a powerful trend-continuation signal that reinforces the expectation that sellers will soon regain control. Absence of Bullish Signals: A key factor increasing conviction in the bearish bias is the lack of any bullish divergence seen yet on chart. The absence of this potential reversal signal suggests that a strong bullish bounce is not imminent. Invalidation Level & Potential Targets Defining risk and reward is essential in trading: Invalidation Level: The bearish count is only valid as long as the price remains below the critical invalidation level marked at approximately 99.492 Potential Targets: Upon confirmation of the wave 4 top and the start of wave 5, the target for the decline is expected to be lower than the last swing lows (below the wave 3 termination point around 95.100). I am not Sebi registered analyst. My studies are for educational purpose only. Please Consult your financial advisor before trading or investing. I am not responsible for any kinds of your profits and your losses. Most investors treat trading as a hobby because they have a full-time job doing something else. However, If you treat trading like a business, it will pay you like a business. If you treat like a hobby, hobbies don't pay, they cost you...! Hope this post is helpful to community Thanks RK💕 Disclaimer and Risk Warning. The analysis and discussion provided on in.tradingview.com is intended for educational purposes only and should not be relied upon for trading decisions. RK_Chaarts is not an investment adviser and the information provided here should not be taken as professional investment advice. Before buying or selling any investments, securities, or precious metals, it is recommended that you conduct your own due diligence. RK_Chaarts does not share in your profits and will not take responsibility for any losses you may incur. So Please Consult your financial advisor before trading or investing.
TVC:DXYEducation
by RK_Chaarts
2
Buy the Rumor and Sell The NewsMarkets move before information becomes official because positioning always precedes confirmation. By the time news is released, expectations are already priced in. “Buy the rumor” describes this positioning phase, where capital reallocates based on anticipation rather than facts. Traders who act only on confirmation arrive when risk is highest and asymmetry is lowest. Rumors form when uncertainty exists and narrative fills the gap. Expectations about events, data, upgrades, or macro decisions begin circulating long before outcomes are known. During this phase, liquidity is thin and positioning builds gradually. Price advances not because certainty exists, but because participants want exposure before clarity removes opportunity. As the rumor spreads, price often trends cleanly. Pullbacks are shallow, momentum holds, and dips are bought quickly. This is not because the outcome is guaranteed, but because risk is perceived as acceptable relative to potential upside. The danger appears near confirmation. When the news becomes official, uncertainty collapses. Everyone knows the outcome, and participation peaks. Liquidity increases sharply as late buyers enter and early participants begin exiting. This is why markets frequently stall, reverse, or distribute immediately after positive news. The trade was never about the event itself. It was about positioning ahead of it. Selling after confirmation is not manipulation. It is inventory management. Capital that entered early needs liquidity to exit. News provides that liquidity. When expectations are fully priced, continuation requires new incentive, not old information. The practical takeaway is not to trade headlines. It is to observe behavior before them. Watch how price reacts during anticipation. Strong trends with controlled pullbacks suggest accumulation. Choppy price with sharp spikes suggests distribution forming. When confirmation arrives, reassess rather than assume continuation. “Buy the rumor” works because markets move on expectations and pause on certainty. Traders improve when they stop reacting to news and start reading how the market positions itself in advance. The edge lies in understanding when probability is expanding and when it has already been spent.
KRAKEN:BTCUSD.MH2026Education
by HyroTrader
18
Accumulation, Manipulation, and DistributionMarkets do not move randomly. They rotate through phases that allow large participants to build positions, protect those positions, and eventually exit them. Accumulation, manipulation, and distribution describe this rotation. They are not patterns to trade blindly. They are a framework for understanding why price behaves the way it does at certain locations. Accumulation occurs when price moves sideways after a decline or during a pause in a larger trend. Volatility contracts, ranges tighten, and progress slows. This is not indecision. It is inventory building. Large positions cannot be entered in one candle without moving price against themselves. Accumulation allows orders to be filled gradually while keeping price contained. Breakouts during this phase often fail because the market is still absorbing liquidity, not ready to expand. Manipulation is the transition phase. Once enough inventory is built, the market seeks liquidity to fuel expansion. This usually appears as a sharp move beyond the range highs or lows. Stops are triggered, breakout traders enter, and price briefly accelerates. If the move lacks follow-through and quickly reclaims the range, it signals that the breakout was used to fill orders, not to establish direction. The purpose is not deception for its own sake. It is efficient execution. Distribution follows expansion. After a directional move, price begins to stall. Impulses weaken, volatility compresses, and progress slows again. This is where positions built earlier are reduced or closed. Distribution often forms near obvious highs or after extended trends, where late participants are still entering with confidence. Liquidity becomes available again, allowing exits without collapsing price immediately. These phases repeat across timeframes. A small accumulation on a lower timeframe can exist inside a higher timeframe distribution. This nesting explains why markets can trend strongly while still producing frequent false signals intraday. The phase you are trading matters more than the setup you are using. The practical edge comes from alignment. Accumulation favors patience and waiting for confirmation. Manipulation requires restraint, not chasing. Distribution demands risk management and reduced exposure. When traders misidentify the phase, they trade against the market’s purpose. When they recognize it, execution becomes calmer, risk becomes clearer, and losses become easier to control. Understanding accumulation, manipulation, and distribution does not predict exact turning points. It explains intent. When you trade with that intent instead of reacting to candles, you stop fighting the market and start working with it.
BITSTAMP:BTCUSDEducation
by SamDrnda
5
The 2nd Phase of AI Technology is UnderwayThis tutorial is about discovering how new technologies such as AI have several phases over many years which create growth and speculation in the leading companies. There are always 3 top contenders for a new technology sub industry. A sub industry is an industry that is within the primary industry. For example, NASDAQ:GOOG , Open AI, and Anthropic are currently the top contenders for the subindustry: Medical Diagnostics AI. This is just one of many sub industries that will emerge over the next decade and longer. All 3 companies have the potential to dominate. The #1 will be the most dominant, #2 will be a close second, and #3 will be a distant 3rd. However, all 3 will have potential for excellent swing trading, position trading and also investing. I discourage day trading as it is extremely challenging and there are now new regulations and a change of the rules governing retail day trading that will be soon announced and implemented by all retail brokers. This has become necessary as many retail brokers are at risk of default when numerous retail day traders and smaller funds managers have margin calls but have no money to meet those margin calls. This problem is so extensive that major changes are coming to retail day trading on the public exchanges. Save yourself a lot of trouble and simply shift to swing trading instead. It is easier, more profitable, and more fun, takes less time and effort and it's far less stressful. GOOG is NOT a sure thing for dominance in the AI Medical Diagnostics sub industry. However, the chart shows that there is an increase in Buy Side Giant Institutions, aka Dark Pools, investing in Google at this time. This can lead to speculative price action that is ideal for swing trading. GOOG reports on February 4th but there is now a risk that HFT AI may misinterpret the report or the CEO statement as HFT AI did for MSFT. Thus, trading it at this moment has very high risk.
NASDAQ:GOOGEducation
by MarthaStokesCMT-TechniTrader
2
Methodologically Diversifying Away from Wall StreetAs the S&P 500 index is close to its historical valuation peak of 1999/2000 (Shiller P/E) and the global macroeconomic and geopolitical backdrop is “challenging,” can we still find equity markets around the world that are fundamentally cheap and technically attractive? Here, I propose a methodological approach aimed at identifying international equity markets that are in a long-term bullish trend and still very inexpensive compared to Wall Street (with the S&P 500 valuation used as the benchmark). Three valuation criteria are selected to assess global equity market valuations in a relevant way, focusing on the top 20 markets by total market capitalization. 1) Shiller P/E (CAPE ratio) The CAPE ratio (Cyclically Adjusted Price-to-Earnings) measures a market’s valuation by relating its price to the average of real (inflation-adjusted) earnings over the past 10 years. It smooths out economic and accounting cycles and is mainly used to assess the long-term relative expensiveness of a market. Historically, a high CAPE ratio is associated with lower future returns over several years. 2) Total Market Capitalization / GDP (Buffett Indicator) This ratio compares the total value of a country’s listed equities to the size of its real economy (GDP). It provides a macro-level view of equity market valuation relative to the country’s productive capacity. A level well above 100% suggests that the equity market is expensive relative to the underlying economy, all else being equal. 3) Market Capitalization / (GDP + Central Bank Balance Sheet) This indicator is an extended version of the Buffett Indicator that incorporates the central bank’s balance sheet (total assets) in the denominator. It aims to account for the impact of expansionary monetary policies on asset prices. A more moderate ratio may indicate that market valuation is partly supported by monetary liquidity rather than solely by economic growth. The table below therefore presents equity markets from the most expensive to the cheapest based on the average of these three valuation criteria. Markets such as Brazil, Poland, China, Mexico, and South Korea show strong long-term bullish technical trends and still offer significant potential to catch up with the S&P 500 in terms of valuation. These markets represent solid diversification strategies. Careful attention should be paid to entry timing: a market should only be bought during a pullback phase and a return to a major technical support level. 4) Ranking Methodology I assigned a rank to each ratio (1 = most expensive market / highest ratio, 20 = cheapest market / lowest ratio). For each market, I then calculated the average of these ranks to create a synthetic “Median Score” column. According to this summary, the US, India, and Japan stand out as the most expensive markets, followed by Western Europe, and then by more affordable markets such as China, Poland, and Brazil within the emerging markets space. The chart below illustrates the long-term bullish trend of the Polish equity market across monthly, weekly, and daily time horizons. DISCLAIMER: This content is intended for individuals who are familiar with financial markets and instruments and is for information purposes only. The presented idea (including market commentary, market data and observations) is not a work product of any research department of Swissquote or its affiliates. This material is intended to highlight market action and does not constitute investment, legal or tax advice. If you are a retail investor or lack experience in trading complex financial products, it is advisable to seek professional advice from licensed advisor before making any financial decisions. This content is not intended to manipulate the market or encourage any specific financial behavior. Swissquote makes no representation or warranty as to the quality, completeness, accuracy, comprehensiveness or non-infringement of such content. The views expressed are those of the consultant and are provided for educational purposes only. Any information provided relating to a product or market should not be construed as recommending an investment strategy or transaction. Past performance is not a guarantee of future results. Swissquote and its employees and representatives shall in no event be held liable for any damages or losses arising directly or indirectly from decisions made on the basis of this content. The use of any third-party brands or trademarks is for information only and does not imply endorsement by Swissquote, or that the trademark owner has authorised Swissquote to promote its products or services. Swissquote is the marketing brand for the activities of Swissquote Bank Ltd (Switzerland) regulated by FINMA, Swissquote Capital Markets Limited regulated by CySEC (Cyprus), Swissquote Bank Europe SA (Luxembourg) regulated by the CSSF, Swissquote Ltd (UK) regulated by the FCA, Swissquote Financial Services (Malta) Ltd regulated by the Malta Financial Services Authority, Swissquote MEA Ltd. (UAE) regulated by the Dubai Financial Services Authority, Swissquote Pte Ltd (Singapore) regulated by the Monetary Authority of Singapore, Swissquote Asia Limited (Hong Kong) licensed by the Hong Kong Securities and Futures Commission (SFC) and Swissquote South Africa (Pty) Ltd supervised by the FSCA. Products and services of Swissquote are only intended for those permitted to receive them under local law. All investments carry a degree of risk. The risk of loss in trading or holding financial instruments can be substantial. The value of financial instruments, including but not limited to stocks, bonds, cryptocurrencies, and other assets, can fluctuate both upwards and downwards. There is a significant risk of financial loss when buying, selling, holding, staking, or investing in these instruments. SQBE makes no recommendations regarding any specific investment, transaction, or the use of any particular investment strategy. CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. The vast majority of retail client accounts suffer capital losses when trading in CFDs. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. Digital Assets are unregulated in most countries and consumer protection rules may not apply. As highly volatile speculative investments, Digital Assets are not suitable for investors without a high-risk tolerance. Make sure you understand each Digital Asset before you trade. Cryptocurrencies are not considered legal tender in some jurisdictions and are subject to regulatory uncertainties. The use of Internet-based systems can involve high risks, including, but not limited to, fraud, cyber-attacks, network and communication failures, as well as identity theft and phishing attacks related to crypto-assets.
GPW:WIGEducation
by Swissquote
Studying charts is all about checking for support Hello, fellow traders. If you "Follow," you'll always get the latest information quickly. Have a great day. ------------------------------------- It's important to see what the trend will be like after February 5th. The next period of volatility is expected to be around March 2nd. At this time, the key focus is on whether the price rises above 2887.66 or supports near the newly created HA-Low indicator. To do this, we need to see if the price can rise above 2415.95, the StochRSI 50 indicator level, and maintain its position. If the price fails to rise, we should check for support around 1597.76 to 1879.61, which is considered the maximum decline. To break above a key point or range and maintain an uptrend, the StochRSI, BSSC, and OBV indicators must show upward trends. In particular, the BSSC indicator should remain above zero, and the OBV indicator should rise above its High Line and remain there. In this case, it's even better if the StochRSI indicator hasn't entered an overbought zone. Considering these conditions, it's still too early to continue the uptrend. - Whether the price rises or falls, the most important thing is how to profit. To profit, you can either buy at a lower price and hold a profit, or increase your holdings of coins (tokens) with an average purchase price of zero, ultimately increasing your profits. Therefore, while buying when the price is rising will naturally lead to profits, buying when the price is falling will most likely result in losses. Therefore, increasing your holdings using conventional methods is not possible. Even if you increase the number of coins (tokens) you hold, you would have purchased them with more investment capital. Therefore, you should increase your holdings by selling your coins (tokens) before a decline and buying them again afterward. It's not easy to know when the price will decline, but if you see resistance at the support and resistance points you've drawn on your chart, you can trade using the method above. To do this, the key is how to draw support and resistance points. Support and resistance points are usually marked by designating a volume profile based on the arrangement of candlesticks and then marking them accordingly. However, since these markings are prone to subjective opinions, it's better to use objective information to mark support and resistance points. Even if the indicated support and resistance points are drawn incorrectly, it's not a bad idea if there's a way to check whether support exists near them. What we need to study isn't wave theory or harmonic theory. What we need to learn is how to determine whether support and resistance levels are supportive. And we need to practice developing trading strategies accordingly. - When I first started studying charts, I studied them through various books and online resources. I also listened to the advice of broadcasters on internet channels, but ultimately, I found them ineffective. Looking back, I realized that because I didn't have a basic trading strategy that suited me, no matter what I studied or what information I gathered, it didn't work in actual trading. I use the grandiose term "basic trading strategy," but it's more accurate to think of it as determining where to buy and where to sell. While determining where to buy is important, as I mentioned earlier, if you can identify support and resistance levels within the support and resistance levels you've drawn, you'll naturally know where to buy and sell. To find specific pulse points, you need to understand where the volume profile is located, and this can be done using various indicators. - To achieve this, the basic trading strategy I'm suggesting is to buy in the DOM(-60) ~ HA-Low range and sell in the HA-High ~ DOM(60) range. I've created this basic trading strategy as an indicator so everyone can easily see it, and I'm consistently publishing ideas to explain how to interpret and utilize it. - Thank you for reading to the end. I wish you successful trading. --------------------------------------------------
Education
by readCrypto
How to Trade Price Action Patterns in TradingViewHow to Trade Price Action Patterns in TradingView Master price action pattern recognition using TradingView's charting tools in this comprehensive tutorial from Optimus Futures. Price action patterns are among the most time-tested technical analysis methods available. They help traders identify potential reversals, continuations, and high-probability entry points directly from candlestick formations. What You'll Learn: Understanding price action patterns: reading market psychology through candlestick formations The two main pattern categories: reversal patterns and continuation patterns Essential reversal patterns: pin bars, engulfing candles, and double tops/bottoms How pin bar wicks reveal price rejection at key levels Bullish and bearish engulfing patterns for identifying shifts in control Double tops and bottoms as significant turning point signals Key continuation patterns: flags, triangles, and inside bars Using TradingView's built-in candlestick pattern recognition indicators Manual pattern identification techniques and optimal timeframes Practicing with TradingView's bar replay feature The importance of context: trading patterns at support and resistance zones Entry timing: waiting for confirmation candles Stop placement strategies for different pattern types Calculating measured move targets for profit-taking Multiple timeframe analysis for added conviction Combining price action with volume analysis for confluence Aligning patterns with Fibonacci levels and prior swing points This tutorial may benefit futures traders, swing traders, and technical analysts who want to read price action directly without indicator lag. The concepts covered could help you recognize high-probability setups, time entries more precisely, and understand the buyer/seller dynamics behind each candlestick formation. Learn more about futures trading with TradingView: optimusfutures.com Disclaimer: There is a substantial risk of loss in futures trading. Past performance is not indicative of future results. Please trade only with risk capital. We are not responsible for any third-party links, comments, or content shared on TradingView. Any opinions, links, or messages posted by users on TradingView do not represent our views or recommendations. Please exercise your own judgment and due diligence when engaging with any external content or user commentary. This video represents the opinion of Optimus Futures and is intended for educational purposes only. Chart interpretations are presented solely to illustrate objective technical concepts and should not be viewed as predictive of future market behavior. In our opinion, charts are analytical tools, not forecasting instruments.
COMEX:GC1!Education
by Optimus Futures
Top 3 Forex Gold Setups I Will Be Trading in 2026 Among the different strategies and signals that I relied on in 2025, there were 3 exceptional setups that showed the highest accuracy and profitability. In this article, I will explain the structure and price model of these setups and equip you with the best entry signals for trading in 2026. Discover what worked best in Forex and Gold trading in 2025. The first powerful setup that showed great results last year is based on an old-school price action chart pattern - double top & bottom . But don't trade each double top & bottom that you spot. To achieve the highest win rate, these patterns should form on specific time frames and on specific price levels. Please, study a bullish model: The price should test a key daily support level. After that, a double bottom pattern should form on 1H time frame. Your signal to buy will be a breakout and an hourly candle close above its neckline. Set your buy limit order on a retest of that, stop loss will lie below the bottoms, take profit will be the closest intraday resistance. Here is an example: Now, examine a bearish model. The price should test a key daily resistance level. After that, a double top pattern should form on 1H time frame. Your signal to sell will be a breakout and an hourly candle close below its neckline. Set your sell limit order on a retest of that, stop loss will lie above the bottoms, take profit will be the closest intraday support. Here is an example on NZDUSD forex pair: Meeting all the required criteria, this setup achieved 76% accuracy in 2025. The second setup that had a high win rate last year is from Smart Money Concepts trading. It is based on a combination of liquidity zones, traps, and imbalances. Please, examine a bullish model of that setup. We need a t est of a daily liquidity demand zone and a bearish trap below that. After a trap, a bullish imbalance should occur on an hourly time frame. I suggest looking for a bullish engulfing candle and return of the price within or even above a liquidity zone with a close of that candle. Buy the market immediately after a candle close. Set your stop loss below the low of the trap. Your take profit will be the closest intraday supply zone. Please, study an example on EURAUD: Now, study a bearish model. We need a test of a daily liquidity supply zone and a bullish trap above that. After a trap, a bearish imbalance should occur on an hourly time frame. I recommend looking for a b earish engulfing candle and return of the price within or even below a liquidity zone with a close of that candle. Sell the market immediately after a candle close. Set your stop loss above the high of the trap. Your take profit will be the closest intraday demand zone. Please, check the example: Meeting all the conditions, this setup showed 79% accuracy. The last setup worked phenomenally well in Gold trading last year. Because of a crazy bullish rally that the market started straight from the beginning of 2025, this simple pattern provided huge gains. I am talking about a bullish flag pattern. Please, note that the first 2 setups were bullish and bearish. In a current case, we are considering only a bullish flag. Make sure that the market is bullish . After an update of a new high and a formation of a new higher high higher close, expect a correctional movement on a 4H time frame. The price should start falling , forming an expanding, parallel or contracting channel - a bullish flag. Your strong signal to buy will be a bullish breakout and a 4H candle close above a resistance of the flag and the last lower high within that. Set your buy limit order on a retest of the broken level of the last LH, Set stop loss below the lows of the flag, Your take profit will be the closest psychological level above a current high. Alternatively, you can trade this model without take profit and apply trailing stop loss. That's the example of this price model: This pattern achieved 69% accuracy. But because of a strong bullish momentum, each profitable signal produced enormous gains. If Gold continues rallying next year, and I think it definitely will, keep an eye on bullish flags as your signal to buy. Using these 3 setups, you can successfully trade Forex and Gold in 2026. Integrate them in your trading strategy, learn to recognize them and follow the rules that I provided. Let these setups bring you huge gains this year. ❤️Please, support my work with like, thank you!❤️ 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 VasilyTrader
1
How to Trade a $2,000 Drawdown Without Blowing Up (MES Strategy)Are you trading a prop firm account with a tight $2,000 drawdown? One bad trade shouldn't end your career. In this video, I break down a strict risk management plan using MES (Micro E-mini S&P 500) that ensures you survive to trade another day. In this video, we cover: The 10% Rule: Capping risk at $200 max per trade so you always have at least 10 opportunities. The VX Algo Strategy: How to use the 10-minute signal with 48-minute chart confirmation for high-probability entries. Dynamic Position Sizing: Stop guessing how many contracts to buy. I explain my A+, B+, and C+ setup system. The Blueprint: Instrument: MES ($5/point) Stop Loss: 10 Points ($50/contract) | Take Profit: 5 Points ($25/contract) Sizing: A+ Setup: 4 Contracts ($200 Risk) B+ Setup: 2 Contracts ($100 Risk) C+ Setup: 1 Contract ($50 Risk) Discipline is key. If the charts don't align, we don't trade. Let's get funded and stay funded.
CME_MINI:MES1!Education
by DiYWALLST
1
''The Liquidity Footprints No One Talks About (How to Ride Them)🔥 Reading Smart Money Moves: Inducements & Wyckoff in Action 🔥 Traders, let me drop something heavy — this isn’t theory, it’s the live pulse of the market. Most traders chase indicators and candlesticks, hoping for a breakout. Meanwhile, smart money is quietly harvesting liquidity and leaving traps that the crowd blindly walks into. That’s where the edge lives. 🔥 Here’s the truth: what I see with inducements and order flow is Wyckoff in motion — but modern, practical, and actionable. Let me break it down. ⸻ 1️⃣ Spotting inducement zones (liquidity traps) • Inducements are setups designed to trick retail into taking the wrong side. • Look for subtle failed highs/lows, false breakouts, or wicks that grab stops. • 🔥 Nugget: The bigger the crowd chasing the move, the juicier the liquidity for smart money. Think of this like Wyckoff’s spring/shakeout — but you see it unfold live. ⸻ 2️⃣ Confirming market context (multi-layer edge) • Start by observing the overall trend and structure. • Identify where the crowd is trapped and where liquidity is being collected. • 🔥 Nugget: True edge comes from seeing the trap and the setup before the panic enters the market. You’re essentially mapping Wyckoff’s accumulation/distribution phases — only this time you see intent, not just the schematic. ⸻ 3️⃣ Understanding smart money intent • Watch how price reacts to inducements: • Aggressive spikes vs slow absorption • Failed follow-throughs after stops are triggered • 🔥 Nugget: Effort vs result in real-time — the market tells you who is in control, if you know what to look for. This is exactly what Wyckoff described, just live and actionable. ⸻ 4️⃣ Entries without giving away the blueprint • Don’t jump in on the first trap — wait for confirmation of liquidity sweep and reaction. • 🔥 Nugget: This is the modern “Wyckoff spring” — micro timing the edge without showing the exact playbook. You catch the last wave of smart money’s harvesting before the main move — precision over guesswork. ⸻ 5️⃣ Trade management & continuation • Take logical partial profits and let the trend run. • Watch for secondary inducements — sometimes the market fakes continuation to shake more traders out. • 🔥 Nugget: Reading smart money footprints lets you predict continuation zones, not just react. ⸻ 6️⃣ Pro Tips / Nuggets 🔥 1. Quiet markets = precision setups. Less noise = clearer inducements. 2. Big-picture context is everything. Without it, traps are just noise. 3. Wyckoff’s Laws in action: cause & effect, supply & demand, effort vs result — live on your chart. 4. Stop hunting = opportunity. Don’t fight it — trade it. 5. Charts over indicators. Indicators lag; inducements reveal intent. ⸻ Summary • This is Wyckoff brought to life, seen through modern inducement + order flow lens. • Difference: you’re seeing the intent of smart money live, not studying it after the fact. • 🔥 Master inducements + liquidity sweeps + context, and you don’t just trade — you understand the market’s pulse. ⸻ 💡 Final Thought: Teaching this isn’t about giving the exact recipe. It’s about training minds to see the cues, read the traps, and recognize intent. That’s where your edge stays untouchable. Patience is key Tracking is the edge. Let's go.
FX:NAS100Education
by Juicemannn
Are you trading price zones or just guessing lines?Ever watched price slam into some line on your chart, bounce like a rubber ball, and thought: “What kind of witchcraft is this?” Relax, that “witchcraft” has a boring name - support and resistance. In human words: Support - zone below price where buyers usually wake up and say “cheap, I’m in”. Price often stops falling or bounces from there. Resistance - zone above price where sellers say “enough, too expensive”. Price often stops rising or pulls back from there. Key word here - zone. Not an exact pixel line you worship like a religion. Let me give you 5 simple principles of trading from levels that I wish someone had yelled at me when I started. 1) Levels are crowds, not lines A level is just a place where many traders are watching the same price. Limit orders, stop losses, take profits - all parked there. That’s why price reacts. So don’t draw 10 lines like a spider web. Mark the area where reactions happened before and think in zones. 2) The stronger the history, the stronger the level Good level has a backstory: - price reversed there several times - there were strong candles away from that zone - it’s visible on higher timeframes (H4, D1) One tiny bounce on M5 doesn’t make it “iron support”. That’s like calling someone your soulmate after one date. 3) Trade reaction, not prediction Classic beginner mistake: “Price is near support - I buy.” My logic: “Price is near support - I watch.” I don’t care that price is approaching the level, I care how it behaves there: - sharp wick and fast rejection - volume spike - several failed attempts to break No reaction - no trade. Level is not a button, it’s just a potential battle zone. 4) Trend + level = your best friend Buying support in an uptrend - you’re with the smart money. Buying support in a downtrend - you’re that hero trying to catch a falling knife with bare hands. Same level, totally different probabilities. I use levels with the trend for main entries, and against the trend only for small, tactical trades with tight stops. 5) Levels break - don’t marry them Biggest trap: “It bounced 3 times, it MUST bounce again.” No, it doesn’t. Sometimes level breaks, eats all stops, and keeps going. I always have a simple plan: - if level holds - I trade bounce - if level breaks and fixes behind it - I trade in new direction Price doesn’t “betray” you. It just doesn’t owe you anything. Maybe I’m wrong, but most traders don’t lose on levels because “levels don’t work” - they lose because they fall in love with one line and ignore the actual price behavior. Support and resistance are just places where crowd psychology leaves footprints. Learn to read those footprints - and suddenly the chart stops looking random and starts looking like a story. And that’s when trading levels becomes fun.
Education
by Trade_Logic_AI
1
Why Silver Traps Traders More Than GoldSilver (XAGUSD) is often called “Gold on steroids”, but that extra volatility is exactly why many traders get trapped. Compared to Gold (XAUUSD), Silver behaves more aggressively, emotionally, and unpredictably—especially around key levels. Understanding why Silver traps traders more than Gold can help you build better market awareness and avoid common mistakes. 1. Higher Volatility Creates False Confidence Silver moves faster than Gold. Sharp spikes and deep pullbacks create the illusion of strong momentum. Many traders enter too early, assuming continuation, but Silver frequently reverses after attracting liquidity, trapping late buyers or sellers. Key learning: Fast movement does not always mean strong direction. 2. Thin Liquidity = Sudden Manipulative Moves Compared to Gold, Silver has lower liquidity. This allows price to be pushed more easily around: Previous highs & lows Equal highs / equal lows Trendline breaks These areas often become liquidity pools, where retail traders enter and smart money exits. 3. Fake Breakouts Are More Common in Silver Silver is famous for: Breaking resistance → failing instantly Breaking support → snapping back inside range Gold tends to respect levels more cleanly, while Silver often uses fake breakouts to trap breakout traders. 4. Emotional Trading Bias in Silver Because Silver is cheaper than Gold, traders often: Over-leverage positions Ignore risk management Trade lower timeframes impulsively This emotional participation increases trap probability, especially during news or high-volatility sessions. 5. Silver Reacts Sharply to News & USD Moves Silver is highly sensitive to: USD strength Inflation expectations Industrial demand news Even small macro changes can cause violent spikes, wiping out poorly planned trades. 6. Gold Is Structured, Silver Is Aggressive Gold generally respects: Clean structure Clear trends Institutional levels Silver, on the other hand: Whipsaws inside ranges Hunts stops aggressively Punishes impatience This structural difference is why beginners struggle more with Silver. How Traders Can Avoid Silver Traps (Education Only) Focus on higher-timeframe structure Wait for confirmation, not impulse Treat breakouts with caution Understand liquidity zones Manage risk strictly Silver rewards patience and experience—not aggression. Final Thought Silver is not bad—it’s honest but ruthless. Those who rush get trapped. Those who wait get clarity. Trade what you understand, not what moves fast.
SAXO:XAGUSDEducation
by XAU_CAPITAL
Understanding Gann Pressure Dates & Solar Calculations Nifty 50 Time has always been a critical element in W.D. Gann’s work. This idea is a historical and educational case study explaining how Gann Pressure Dates and Solar Calculations were observed on Nifty 50 during 2021–2022. Rather than forecasting or predicting outcomes, the focus here is on how time-based levels are derived and interpreted. 🔭 Concept Explained (Educational) One component of Gann’s time analysis is Solar Calculation, where astronomical degrees are converted into market time. A commonly used conversion is: 365 days ÷ 360 degrees ≈ 1.014 This factor is applied to key angular values such as: 30° 45° 60° 90° 120° When these time intervals are added to a major swing high or swing low, they often highlight dates where the market becomes time-sensitive. 📅 Nifty 50: 2021–22 Time Observation In this historical example: A significant swing high formed in October 2021 Solar time calculations highlighted multiple calendar dates Several of these dates aligned with visible changes in market behaviour These dates are often referred to as “Pressure Dates” — periods where volatility, trend change, or acceleration may occur. 🧠 How These Dates Are Interpreted A simple observational framework used in Gann studies: Allow the level candle to close If the next session closes above the level candle’s high → strength may be present If the next session closes below the level candle’s low → weakness may be present If a date falls on a market holiday, the nearest trading session is observed instead This approach encourages discipline and patience, rather than emotional reactions. 📌 Key Learning This case study highlights: The role of time symmetry in market structure Why Gann emphasised time before price How historical charts can be studied for repeatable behaviour Why time cycles should always be combined with price structure Disclaimer: This content is shared strictly for educational and analytical purposes only. It does not constitute trading advice or future market prediction.
NSE:NIFTYEducation
by WD_Gann_Theory
Nifty 50 | Gann Law of Vibration – March–April 2023 (EducationalW.D. Gann emphasized that time governs market movement, often more decisively than price alone. This idea presents an educational, historical case study explaining how Gann’s Law of Vibration was applied to Nifty 50 during March–April 2023. 🧭 Concept Overview The Law of Vibration studies: Time intervals Market rhythm & repetition Synchronisation between time and price Natural cycles governing trend expansion and contraction It does not guarantee outcomes, but helps identify periods of heightened market sensitivity. 📅 Historical Time-Window Observation In mid-March 2023, a specific time window was analysed using vibration principles and calendar harmonics. Key aspects studied: Time symmetry from prior swing points Cycle alignment after a corrective phase Relationship between elapsed time and market structure 📊 Post-Event Market Behaviour Following this observed time window: Market momentum shifted noticeably Price expansion followed after time completion Directional follow-through aligned with time-cycle expectations This reinforces a core Gann principle: “Price follows time — when time is fulfilled, price responds.” 🧠 Educational Takeaway This case study demonstrates: How time-based analysis is conducted Why time windows are observed, not predicted How traders can prepare mentally instead of reacting emotionally Why time must be combined with structure and price action 📌 Important Note This idea is shared strictly for: Educational study Historical analysis Understanding time-cycle behaviour It does not include: Trade recommendations Future projections Performance claims Disclaimer: This content is for educational and analytical purposes only. It does not constitute financial advice or trading recommendations.
NSE:NIFTYEducation
by WD_Gann_Theory
Using Templates to Standardize Every Trade PlanConsistency in trading rarely comes from better predictions. It comes from reducing variability in execution. Templates are one of the most effective ways to achieve this, especially when used correctly inside TradingView. A trade plan template turns preparation into a fixed process instead of a mental checklist that changes under pressure. Start by defining what a complete trade plan looks like for you. This includes market context, execution conditions, and risk parameters. Higher-timeframe bias, key levels, entry trigger, stop logic, target logic, and position size should all be part of the same structure. The goal is clarity before price reaches your level, not decisions made in real time. Once defined, translate this structure into a reusable format. TradingView allows you to save chart layouts, drawing sets, indicators, and notes. Use these tools to build a clean template that loads the same way every time. For example, keep one layout dedicated to analysis with higher-timeframe levels, and another for execution with only the elements required to act. This separation alone reduces noise and hesitation. Templates also enforce discipline around risk. By using the same position tool settings, stop logic, and risk-to-reward framework on every trade, you remove the temptation to adjust risk emotionally. Over time, this creates uniform data. When every trade is planned the same way, your journal reflects your system’s performance instead of random execution decisions. Another advantage is speed. A standardized plan reduces preparation time and mental load. Instead of rebuilding context from scratch, you load the template and verify conditions. This is especially important for traders balancing multiple markets or limited screen time. Fewer decisions lead to better decisions. Finally, templates make review meaningful. When all trades follow the same structure, deviations become obvious. You can quickly see whether losses came from valid setups, poor execution, or rule breaks. This feedback loop is what allows improvement to compound. Templates do not restrict flexibility. They protect process integrity. When used consistently, they transform trading from reactive decision-making into a controlled, scalable workflow built around clarity and repeatability. Stay Green!
Education
by Green_Squad
1
Why slippage and execution quality matter more than indicators?Most traders spend a significant amount of time refining indicators, testing new signals, and optimizing entry logic. While indicators play an important role in market analysis, many traders eventually discover a hard truth: even the best indicators cannot compensate for poor execution. In live markets, performance is often shaped less by what you see on the chart and more by how your orders are actually executed. Indicators Work in Theory — Execution Works in Reality Indicators are built on historical data. They assume: ideal fills, immediate execution, stable spreads, no friction between decision and order placement. Live trading rarely meets these assumptions. Slippage, delayed fills, widened spreads, and inconsistent execution introduce a gap between signal quality and realized outcome. This gap is invisible in backtests but very real in practice. A strong indicator can point to a valid setup, yet the trade result may still be negative if execution quality deteriorates under live conditions. What slippage actually changes? Slippage is often treated as a minor inconvenience, but over time it becomes a structural performance drag. Even small deviations can: shift risk-reward ratios, invalidate stop placement logic, turn marginal trades into losing ones, distort strategy statistics. Importantly, slippage is not random. It tends to increase during volatility, exactly when many indicators generate their strongest signals. This means that execution quality matters most at the moments traders rely on indicators the most. Execution Quality as a Risk Variable Execution is not just a technical detail — it is a risk variable. Poor execution introduces uncertainty that cannot be managed with indicators alone: orders behave unpredictably, fills differ from expectations, outcomes become harder to evaluate. As a result, traders may misattribute losses to strategy flaws when the real issue lies in execution conditions. Experienced traders therefore evaluate execution quality with the same seriousness as market risk. Indicators respond to price. They do not detect: liquidity conditions, platform latency, internal order handling logic, reporting delays. This creates a blind spot. A strategy can appear robust while execution silently degrades results. Traders then over-optimize indicators instead of addressing the actual bottleneck. This is one reason many mature traders eventually simplify indicators while becoming more selective about execution environments. Consistent execution supports discipline in several ways: entries and exits behave as expected, performance statistics remain interpretable, decisions can be reviewed objectively. When execution is unstable, traders adapt emotionally: widening stops “just in case”, exiting early due to uncertainty, avoiding valid setups after negative surprises. These behavioral changes often hurt performance more than any indicator flaw. Platform Behavior Matters More Than Feature Count Over time, many traders stop asking which platform offers the most indicators and start asking: how execution behaves during volatility, whether slippage is consistent or erratic, how predictable order handling remains under load. This shift explains why some traders gravitate toward more structured execution environments, such as AtlasGlobalLtd, where predictability and execution consistency are treated as core infrastructure qualities rather than secondary features. The focus is not on eliminating market risk, but on removing unnecessary execution uncertainty. For traders reviewing their performance, a useful question is not: “Which indicator should I improve?” but: “How much of my variance comes from execution rather than analysis?” Answering this often leads to: fewer indicators, more attention to order behavior, smaller but more reliable edges. Indicators help traders understand markets. Execution determines whether that understanding translates into results. Slippage and execution quality may seem secondary, but over time they shape outcomes more consistently than indicator complexity. Traders who recognize this shift their focus from signal refinement to execution awareness — and often find that performance stabilizes as a result. In live trading, how you trade matters at least as much as what you trade.
BITSTAMP:BTCUSDEducation
by CryptoPublishmentOfficial