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Economic Cycles

SP500 ETF: Fibonacci MappingAs you may know, Williams Fractals indicator identifies potential reversal points by marking a high (or low) surrounded by two lower highs (or higher lows) on each side, forming a five-bar pattern that signals possible turning points in price. Unfortunately, the simplicity of such indicator provides just tiny perspective, undermining broad implication of the concept. Before I begin diving into processing geometric narrative of emerging price via fibonacci channels, I want to explain how I interpret fractals. When I use the term "fractal", I'm not just talking about the points alone. Market continuously corrects itself, so analyzing it by price alone can bring more confusion than help. The object of observation shouldn't be limited to quantifying just by a single property. Chaos by default requires awareness from both price and time aspects. The easiest way to root it in my vision was through realization that price is a function of trading time intervals. Its activity can be described as cyclical progression, as if it is wired by multiple "springs" of different tensions. Classic TA patterns known to literally anyone are great for anticipating a move in surface level forecasts. Since my line of work focuses on prediction over forecasts, it requires deeper structural awareness behind complex oscillations. Let's observe the way selloff scales from ATH and how it impacts fractal hierarchy. The first corrective bullish wave can be explained as a reaction to initial impulsive bearish wave. The bigger scale drop from ATH to a lower point explains why the corrective bullish wave looks the way it is. And so on: In fractals, scaling laws describe how key properties change with size, typically following power-law relationships that reflect the structure’s self-similarity, where a characteristic scales with the size raised to an exponent. To build a probabilistic model, we must keep in mind how the smaller bits make up bigger scale picture. ATH, established bottom and angle of progression defined by pullback highs, all those points have structural weight. Since psychology of masses that shapes price dynamics is governed by mathematical sequences found in nature, it's fair to use Fibonacci Channels to map the geometry of interconnectedness. Similarly, all of those points can be referred by another fibonacci channel with opposite direction. From my perspective, traditional TA patterns reflect just phases of cycle, this is why I unify those fragments into broader scalable shapes. This distinctive branch of Fractal Analysis allows to track systematic aspects of market behavior and explains how a pattern replicates itself in rhythmic continuity.
AMEX:SPY
by fract
DXY Bearish Forecast for Quarter 2, 20251. Technical analysis The idea is based in ICT's PO3; AMD pattern. We have a rally above the open price of May 2025, to take out BSL above the highs. It also aligns with Daily tf premium arrays to short from. The lowest hanging fruit being the relative equal lows at equilibrium of the dealing range. 2. Fundamental analysis Investor's confidence in the Dollar is low due to POTUS' tariffs. ICT: Inner Circle Trader PO3: Power of 3 AMD: Accumulation, Manipulation & Distribution BSL: Buy side liquidity tf: Timeframe
TVC:DXYShort
by gabrielmike010
[ TimeLine ] Gold 28-29 April 2025Hello everyone, 📅 Today is Friday, April 25, 2025 I will be using the High-Low price levels formed on the following dates as reference points for potential trade entries: 📌 April 28, 2025 (Monday) 📌 April 28 & 29, 2025 (Monday & Tuesday) 🧠 Trading Plan & Notes: ✅ Gold has broken its ATH multiple times over the past two weeks—volatility remains high ✅ Gold has significant reversal more than 2000pips from its ATH 3500 to 3260 ⚠️ If the formed range is big, reversal entries or trades based on Fibonacci levels may be more appropriate ✅ I will personally trade both signals as part of my ongoing research and strategy ⚠️ If you're unsure or risk-averse, consider skipping April 28 & 29 signal 📋 Execution Plan: 🔹 Wait for the price range from the candles above to fully form (marked with green lines) 🔹 Entry will be triggered upon breakout, with a 60-pip buffer 🔹 If the trade hits Stop Loss (SL), switch direction and double the position size on the next valid entry for potential recovery 📉📈 Chart Reference: 🔗 Copy & paste this code into TradingView URL : TV/x/9932ommw/
OANDA:XAUUSD
by lybeedo
Bitcoin Terminal Price Risk IndicatorToday we’ll explore the Bitcoin Terminal Price Risk Indicator , which builds on the concept of Bitcoin Terminal Price. We’ll follow the same logic as in our previous idea on the Pi Cycle Top Risk Indicator. By the end, we'll have a new tool for analyzing INDEX:BTCUSD market cycles. First, let’s recap Terminal Price. Terminal Price = Transferred Price × 21 Transferred Price = Coin Days Destroyed ÷ (supply × time) It normalizes historical spending behavior to the full 21M BTC supply. This metric has historically been effective at calling Bitcoin cycle tops whenever the price of Bitcoin crosses above it. That being said, it signaled the April 2021 peak, but not the November one. Let’s now divide the weekly BTC price by Terminal Price. This gives us BTC-to-Terminal Price Ratio. (We use the formula from the Bitcoin Master Cycle indicator by InvestorUnknown for Terminal Price on TradingView.) When the ratio crosses above 1, BTC price exceeds Terminal Price and signals cycle top. We can notice that each cycle top forms slightly lower ratio peaks. Now let’s draw two logarithmic curves through the highs and lows of this ratio, and add a midline. This creates a band within which the BTC-to-Terminal Price ratio tends to oscillate. These bounds can help anticipate major turning points in future market cycles. Next, we normalize the ratio between these bounds: bottom curve = 0, top curve = 1. This gives us the Bitcoin Terminal Price Risk Indicator. Currently, risk sits around 0.46 , bouncing between 0.3 and 0.6 for ~1.5 years. This range suggests a stepwise price increase with consolidation periods in between — and no mania and blow-off top. Historically: Risk > 0.9 = potential selling zone Risk < 0.1 (or < 0.05) = potential buying zone Note: Risk stays > 0.9 for just 1–2 weeks. Reality check: the top curve lies above 1 and slopes down only slightly. This implies that if the ratio approaches the upper boundary, BTC price could meet or exceed Terminal Price this cycle — currently ~$155K and will be rising quickly should BTC move towards it. However, so far we have very few data points and they don’t fit the curve perfectly. And there’s no guarantee we’ll reach that upper bound. For a more conservative take, we can replace the log curve with straight lines. This steeper upper line would signal a top earlier — below Terminal Price. Using this method, risk is slightly higher now at 0.55. While also not perfect, this linear approximation can serve as a cautious alternative until more data points emerge. We'll keep tracking these charts.
INDEX:BTCUSD
by ChartNChill
Bitcoin price according to the Bitcoin Liquidity IndexThe Bitcoin bull market from its low in January 2015 to its high in December 2017 lasted 1064 days and the price rose from $163.88 to $19,764.51. The Bitcoin bull market from its low in December 2018 to its high in November 2021 took 1064 days and the price rose from $3,211.19 to $68,944.62. If this is repeated, the Bitcoin bull market from its low of $15,804.43 in November 2022 will find its high of $500,000 or more in October 2025, which Bitcoin could easily do if you look at 2017, for example.
BNC:BLXLong
by FaustDick
Unlock Trading Success with Multi-Timeframe MasteryIn trading, particularly in the Forex market, a well-defined strategy is crucial for consistent profitability. One of the most effective techniques used by successful traders is multi-timeframe (MTF) analysis. By examining price action across different timeframes (e.g., daily, 4-hour, 1-hour), traders gain a clearer understanding of market structure, trend direction, and optimal entry/exit points. This article explores how MTF analysis works, its benefits, and practical steps to implement it in your trading. 🔍1. Analyzing a Pair Across Multiple Timeframes for Clearer Trend Direction The foundation of MTF analysis lies in identifying the major and minor trends. By analyzing at least two timeframes, traders can align their strategies with the broader market direction while fine-tuning entries on shorter timeframes. ⚡The High Wave Cycle (HWC) Approach To begin, determine your High Wave Cycle (HWC), which depends on your trading strategy and timeframe. For instance: If you trade on the daily timeframe, your HWC might be the monthly chart. If you trade on the 1-hour timeframe, your HWC could be the weekly chart. The HWC helps you identify the major trend. For example, on the daily chart, you might analyze the trend using Dow Theory, pinpoint key support and resistance levels, and identify trendlines or patterns. This gives you a clear picture of the market’s broader direction. Once the HWC is defined, give it significant weight when analyzing lower timeframes for trade setups. For instance, if the daily chart (HWC) shows a downtrend, you’d prioritize bearish setups on the 1-hour chart, even if a minor uptrend appears. Example: SOLUSDT Trade Setup Consider a scenario where the 1-hour chart shows a strong uptrend. The price breaks a key resistance level and a descending trendline, suggesting a potential long position. However, checking the daily chart.. (HWC) reveals a clear downtrend. According to Dow Theory, a major trend reversal requires a confirmed break above the previous high (e.g., $150). Since this hasn’t occurred, the market remains bearish. In this case, MTF analysis guides your strategy: Reduce position size to lower risk, as you’re trading against the major trend. Take profits early, as the price could reverse at any moment. Avoid overtrading by limiting the number of positions until the trend change is confirmed. This approach ensures your trades are aligned with the bigger picture, minimizing losses from false signals. 🎯2. Spotting Entries and Exits by Confirming Trends Across Timeframes MTF analysis not only enhances risk management but also improves the precision of your entries and exits. By confirming signals across timeframes, you can filter out noise and focus on high-probability trades. Example: Bitcoin (May 15, 2021) Let’s rewind to May 15, 2021, during Bitcoin’s post-bull run correction. On the daily chart (HWC), the price formed lower highs and lows, breaking a key support level, signaling a bearish trend and a potential exit for long positions. This indicates that spot traders should sell, and swing traders on lower timeframes should focus exclusively on short positions. On the 1-hour chart, you might spot a minor pullback, tempting a long trade. However, MTF analysis reminds you to align with the daily downtrend, so you’d only consider short setups. This disciplined approach prevents you from trading against the major trend, improving your win rate. 📊The Medium Wave Cycle (MWC) for Added Clarity Between the HWC and lower timeframes lies the Medium Wave Cycle (MWC), which provides an intermediate perspective. For example, if your HWC is the daily chart, the MWC might be the 4-hour chart. The MWC helps confirm the major trend’s strength or detect early signs of reversals before zooming into lower timeframes for entries. By checking the MWC, you can filter out noise and ensure your trades align with both the major and intermediate trends. 💡Conclusion Multi-timeframe analysis is a game-changer for traders seeking consistency and precision. By combining the major trend from your HWC, the intermediate perspective from your MWC, and minor trends on lower timeframes, you can make informed decisions, manage risk effectively, and time your trades with confidence. Start by defining your HWC and MWC, analyzing the major trend, and aligning your entries and exits with multiple timeframes. Pick a pair, test this strategy on a demo account, and share your results in the comments below! With practice, MTF analysis will give you a tactical edge in navigating the markets. 🤍 btw im Skeptic :) & If you found this article helpful, don’t forget to like, share, and follow for more insights and trading strategies! <3
Education
by SkepticWise
10
Privacy matters, and it will cost you in the futureGood day Investor and traders, When the criminals run show, they definitely don't want you to know it.  Privacy is a double edged sword. However, just because criminals use it doesn't mean it should shunned upon. Criminals also wear clothes and use curtains. Both are fashion statement second, but serve as privacy first.  Enough of my opinion, the chart speaks for its self. Other than my additions, this is a naked chart of XRM on the weekly. It shows a very distinct patterns of how it moves.  XMR is another coin that was in my thesis from a couple years back in the bear market of 2022 that was the "lengthening or alternating" altcoin cycles. Another cycle that looks like it want to repeat, just much more drawn out. I do believe it will repeat, it might take 10-20 years or so to do so.  The next big phase of privacy might have to have people getting a taste of CBDC or UBI, before they realize how much it will, or most likely could infringe upon their privacy. The chart shows early investors already knew this. Look at that move from 2016 to 2017  25 cents to $480 dollars. WOW, that rivaled XRP's big move!!!  The key pattern here is the initial move then the big correction, the retest (double top) and how it moves with the fib levels. I have highlighted this in the chart with the Monero XMR logo and and a circle then with the yellow rectangle. Its the same pattern just waaaay drawn out. So, after this double top M then correction, marks the key  before price explosion. IMO, I don't think it's and "IF" it happens, but "WHEN" it happens. These types patterns are what sparked my original thesis on these coins. IMO there is a reason  other than just profits, early investor recognized the eventual use case, just like in Bitcoin. Let me know what you think in the comments. Kind regards, WeAreSat0shi
CAPITALCOM:XMRUSDLong
by WeAreSat0shi
8
XMR: I was there, Gandalf. I was there 3000 years ago...In the crypto space, it's quite difficult to talk about long-term trading because very few coins actually survive for a long time and continue to show cyclical dynamics. But when such coins do appear, their setups can be published in a textbook on technical analysis. On the weekly chart, we see a formed Wyckoff accumulation structure with almost all the features inherent to this structure on the chart. We can see how smart money accumulated their positions from mid-2022, conducted a local rally in early 2023, thus forming a range in which we have been for almost 2 years . This was possible due to the negative sentiment around the coin (tightening regulatory screws, delisting from a number of exchanges, including Binance on February 20, 2024 ) and the lack of speculative hype around XMR. However, the price has now broken out of the range and confidently consolidated above it, and right now there is a good opportunity in terms of Risk/Reward to go long on XMR. It should be noted that the trade will be positional, with a horizon of more than 6+ months. However, the wait may be justified because the volume profile on the chart does not illustrate large "walls," i.e., potential seller pressure across the entire price range up to the ATH . KRAKEN:XMRUSD
KRAKEN:XMRUSDLong
by trolldead
1
Bitcoin's next targets are 140K and 250K !This analysis is an update of the analysis you see in the "Related publications" section Are Bitcoin's mid-term targets still valid? First of all, please review the previous analysis In our last analysis, we mentioned that if there was any drop, it would likely be towards the resistance line that had been broken, and we identified the pullback zone around the 77K channel. Now, based on the available data, the pullback has been successful, and Bitcoin's target is to move toward the 130-140K range. A 3D pattern has formed, and the third drive could complete within this range, after which Bitcoin may enter a corrective phase. But what about the second target | 250K? Why are we considering this target? There are several reasons: First, the bullish wave in gold was preventing capital from flowing into cryptocurrencies, especially Bitcoin. Now, gold is reaching the end of its bullish wave, which could lead to significant liquidity flowing into crypto and Bitcoin. Second, Bitcoin's channel structure remains very bullish. If substantial liquidity enters the market, not only could the 250K target be achieved, but Bitcoin might even reach higher levels.
BITSTAMP:BTCUSD
by behdark