Scalping and Swing Trading: A Structured Strategy with SL and TP
$BTC I share my analyses and trading strategies on the Binance Square, not with the idea of imposing a vision, but rather to propose a rational and disciplined approach to scalping and swing trading. My goal is above all educational, and in no case do I claim to give investment advice. Why share this approach?
In the world of trading, especially in cryptocurrencies, it is easy to see people losing money due to lack of method, or on the contrary, blindly following unrealistic predictions. Many are looking for quick gains without really understanding the tools at their disposal.
BEIGE BOOK, FED & ALT-SEASON 2025 The full point on crypto risks and opportunities Last updated: April 23, 2025 – 13:40 (New Caledonia) Warning: This is not financial advice.
Double Stop-Loss: A Strategic Approach to Secure and Optimize Position Entries
In the world of advanced trading, risk management is a key skill that separates professional traders from amateurs. While stop-loss (SL) is a fundamental measure to secure a position, using a double SL allows for a more dynamic and responsive approach to market conditions. This article explores the concept of the double SL, its usefulness, and its implementation in advanced trading scenarios.
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1. Why a Double Stop-Loss?
The market moves in a non-linear manner, with trend and consolidation phases interspersed with liquidity manipulations. A single static SL exposes the trader to two major risks:
DOGE/USDC: Current Trend and Trade Management Strategy
$DOGE The DOGE/USDC market is showing relative stagnation after three days in a short position. In this article, we will check whether this approach remains relevant and adapt our strategy. ---
$NEAR 1. General Analysis - Current price: 3.443 USDC - 24-hour variation: +9.51% - 24h high: 3.481 USDC - 24h low: 3.109 USDC - 24h volume: 2.54 million USDC - General trend: Technical rebound after a recent low at 2,700 USDC 2. Technical Indicators
Moving Averages (MA)
- MA(7) : 3,340 USDC - MA(25) : 3.618 USDC - MA(99) : 5.318 USDC The price has just crossed back above the MA(7), which indicates a possible strengthening of the bullish movement. The MA(25) remains a key resistance in the short term.
🐻 In front of you is the Wyckoff Distribution bearish model.
The Wyckoff Method is an approach to analyzing the behavior of major players in financial markets that helps traders understand their graphical patterns.
Distribution model (Distribution)
Large players begin to gradually sell the asset to those who enter the market in later stages. The distribution phase is accompanied by lateral movement that absorbs demand until it is completely exhausted.
Signs: sharp price fluctuations, increased volumes at local peaks.
With the arrival of BTC on Wall Street, we can look for Wyckoff patterns in its charts.
Well done confirmed nice climb. I made an update. 👍
Theodore Ri QtFv
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ENA/USDC ANALYSIS
1. ENA/USDC $ENA 2. Current trend - Prix : ~0.444 USDC - Variation 24h : environ +5.69% - 24h high: 0.4763 - 24h low: 0.4016 - 24h Volume (ENA): ~21.81 Million - 24h Volume (USDC) : ~9.53 Million The price is rebounding from the 0.40 area, which offers a slight boost in optimism. However, the overall trend is still weakened by the sharp decline of the last few weeks. 3. Moving Averages
2. Current trend Prix : 0.4776 USDC 24-hour variation: +18.07% 24h high: 0.4778 24h low: 0.4020 24h Volume (ENA) : ~23.92 Million 24h Volume (USDC) : ~10.56 Million
The market is showing a clear rebound from the 0.3859-0.40 zone, with a double-digit increase. However, we remain in a bearish context in the medium to long term if we look at the recent past (the price remains below certain key averages).
Bollinger Bands (BOLL), created by John Bollinger, are a technical indicator designed to measure the volatility of an asset and identify potentially "high" or "low" areas on a chart.
1) Composition - A simple moving average (SMA), usually with a period of 20. - Two bands: one above the moving average (Upper Band) and one below it (Lower Band). These bands are often located two standard deviations from the SMA, which allows them to automatically adapt to market volatility.
2) Interpretation - When the bands come together (Bollinger Band Squeeze), this suggests a decrease in volatility. A marked price movement can then occur as the bands start to spread apart again. - When the price touches or exceeds the upper band, the asset is sometimes considered to be in the "high zone" (be careful, however, in a strongly bullish market, prices can remain near this band for a long time). - When the price approaches or falls below the lower band, it is called a "low zone" (same warning if the market is very bearish).
3) Practical use - Bollinger Bands are often used in addition to other indicators (RSI, MACD, volumes, etc.) to confirm a potential reversal or identify the strength of a trend. - Traders can also spot "break out" signals when the price clearly crosses one of the bands, which can mark the start of a more pronounced dynamic.
In summary, Bollinger Bands (BOLL) offer a dynamic visualization of volatility and make it possible to assess whether an asset is potentially in an overbought or oversold zone. However, it is best not to base your entire trading strategy solely on this indicator and to always compare your results with other technical or fundamental analyses.
The Stoch RSI (Stochastic RSI) is a technical indicator that combines the concept of the stochastic oscillator and that of the RSI (Relative Strength Index). Rather than applying the stochastic formula directly to the price, it is applied here to the RSI values.
The Stoch RSI generally oscillates between 0 and 1 (or sometimes expressed as a percentage from 0 to 100). The closer it is to 1, the more we think that the asset is in the overbought zone, and conversely, the closer it is to 0, the more the asset is in the oversold zone.
Its calculation is based on the position of the current RSI in relation to its high and low range over a specific period (often 14 periods). - When the Stoch RSI is greater than 0.80, we speak of an overbought zone. - When it is less than 0.20, we speak of an oversold zone.
Crossover signals are also taken into account. We observe the moment when the Stoch RSI curve crosses above or below certain limits (for example 0.20 or 0.80) to detect changes in momentum. Divergences between the Stoch RSI and the price can also warn of a possible reversal.
Like any indicator, it is recommended to use the Stoch RSI with other tools (moving averages, supports and resistances, volume analysis, etc.) to obtain a more precise view of the trend and confirm trading signals.
The Wm%R (Williams %R) is a technical indicator developed by Larry Williams. It is presented in the form of an oscillator that generally varies between 0 and -100 and is used to measure the level of overbought or oversold of an asset.
Its calculation compares the current closing price to the range (highest - lowest) over a given period (for example 14 days). The closer the value of the Wm%R is to 0, the more the market is in a situation of overbought, and conversely, the closer it is to -100, the more the market is considered oversold.
Classic zones of interpretation: - Between -20 and 0: overbought, risk of possible downward correction. - Between -100 and -80: oversold, possibility of bullish rebound.
Crossovers around these areas, as well as divergences between the Wm%R and the price movement, can indicate a trend slowdown or a potential reversal. As with any indicator, it is recommended to use it in addition to other tools (moving averages, RSI, MACD, etc.) and to always take into account the overall market context.
The OBV (On Balance Volume) is a technical indicator, introduced by Joseph Granville, which relates the evolution of the volume and the variation of prices. Its calculation is cumulative: at each closing, the volume of the session is added or subtracted depending on whether the price has risen or fallen.
1) Calculation - If the closing price is higher than the previous day's, the volume of the day is added to the previous value of the OBV. - If the closing price is lower, the volume of the day is subtracted. - If the closing price is unchanged, the OBV is left as is.
2) Interpretation - An OBV that increases can signal that buying pressure is strengthening and that the uptrend has support. - A falling OBV indicates, on the contrary, increasing selling pressure and possible support for the downtrend. - Divergences between the OBV and the price are also sought. For example, if prices continue to rise while the OBV does not follow the same trajectory (or starts to fall), this can be a sign that the trend is running out of steam.
3) Use - As with other volume indicators, the OBV allows you to confirm or deny price momentum. - It is often coupled with other indicators (RSI, MACD, moving averages, etc.) to obtain a more complete view of market forces.
In summary, the OBV is an interesting tool to highlight the commitment of market participants (through volume) and anticipate possible reversals or trend confirmations.
The KDJ is a variant of the stochastic oscillator, commonly used to analyze the strength and dynamics of a market in the short term. It consists of three curves, named K, D and J, each having a distinct role:
1) K: This is the "fast stochastic". It reacts more sensitively to price changes.
2) D: This is the "slow stochastic". It is smoothed to avoid too much volatility and give a more stable signal.
3) J: It is calculated from K and D (in general, J = 3*K - 2*D). It tends to rise higher and fall lower than the other two lines, which can highlight areas of excess (overbought or oversold).
Usual interpretation: - When K and D evolve in the upper zone (often above 80), we speak of overbought.
- When K and D are in the lower zone (often below 20), we speak of overselling. - The crossings between K and D can offer buy signals (when K goes above D) or sell signals (K goes below D). - The J curve, by going well outside these zones, can highlight strong excesses, sometimes precursors of reversals.
As with most technical indicators, it is preferable not to rely solely on the KDJ. It works all the better when combined with other tools (RSI, MACD, volumes, etc.) and with a fundamental analysis adapted to the market context.
Volume (Vol) is the number of units traded (shares, contracts, tokens) over a given period. Volume moving averages, such as the MA(5) and MA(10), are calculated from daily volumes and then smoothed over 5 or 10 days.
The goal is to observe the evolution of market activity and to identify changes in momentum. For example, when the volume MA(5) crosses upwards over the MA(10), this may indicate an increase in investor interest or an intensification of trading. Conversely, if the MA(5) falls back below the MA(10), this may indicate a slowdown.
These signals must be put into context. One-off high volume may be related to fundamental announcements, special operations (e.g. mergers and acquisitions), or macroeconomic events. Crossing volume analysis with other indicators (RSI, MACD, etc.) allows you to better understand the strength of a trend and avoid relying solely on an isolated volume peak.
The MACD (Moving Average Convergence Divergence) is a technical indicator developed by Gerald Appel. It consists of three elements commonly called DIF, DEA and MACD (or Histogram). Here is how they work:
1) DIF (or MACD line) The DIF is the difference between two exponential moving averages (EMA) of different lengths, often the EMA 12 and the EMA 26. Formula: DIF = EMA(12) – EMA(26) When this value is positive, the short-term trend (EMA 12) is higher than the medium-term trend (EMA 26), suggesting bullish potential. Otherwise, it is estimated that there is bearish pressure.
2) DEA (or Signal line) The DEA is an EMA (usually of period 9) applied to the value of the DIF. Formula: DEA = EMA(9) of the DIF It is often used as a confirmation line. In particular, the crossing between DIF and DEA is monitored to detect bullish signals (DIF passing above the DEA) or bearish signals (DIF passing below the DEA).
3) MACD (Histogram) The MACD, in some platforms, designates the histogram that materializes the gap between the DIF and the DEA. Formula: MACD (Histogram) = DIF – DEA A widening histogram can reflect a strengthening of the current trend (up if the DIF is above the DEA, down if the opposite occurs). A decrease in the histogram can signal a weakening of the current trend.
In summary, DIF, DEA and MACD (Histogram) work together to show the relationship between two trends (short and medium) and their evolution over time. These lines and their interaction are used to identify potential reversals or trend confirmations. Like any indicator, it is best used in conjunction with other tools (volume analysis, RSI, etc.) to obtain a more reliable view of the market.
The RSI (Relative Strength Index) is a technical indicator developed by J. Welles Wilder to measure the speed and amplitude of price changes, i.e. momentum, over a defined period (usually 14 days). On a chart, it appears as a curve oscillating between 0 and 100.
When it exceeds 70, the asset is often considered to be overbought. This means that there is a risk, but not a certainty, of a bearish reversal. On the other hand, when the indicator is below 30, the asset is considered to be oversold, which could suggest a bullish reversal. To illustrate the idea, we can think of a hamster running on its wheel. If it runs too fast for too long, it eventually runs out of steam (overbought). Conversely, if it stops moving, a simple burst of energy can get it going again (oversold).
1. ENA/USDC $ENA 2. Current trend - Prix : ~0.444 USDC - Variation 24h : environ +5.69% - 24h high: 0.4763 - 24h low: 0.4016 - 24h Volume (ENA): ~21.81 Million - 24h Volume (USDC) : ~9.53 Million The price is rebounding from the 0.40 area, which offers a slight boost in optimism. However, the overall trend is still weakened by the sharp decline of the last few weeks. 3. Moving Averages
XRP/BTC $XRP 1. Current trend Prix : 0.00002661 BTC Variation 24h : -3.06% Highest 24h: 0.00002747 24h low: 0.00002632 Volume 24h (XRP) : ~9.95 Mio Volume 24h (BTC) : ~267.83 The price is slightly down, after testing the upper zone of 0.000027. The overall dynamics remain uncertain, despite a notable increase over 90 days (around +70.80%).
2. Moving Averages
- MA(7) : 0.00002765 - MA(25) : 0.00002695 - MA(99) : 0.00002409 The price is around the MA(25), but slightly below the MA(7). The fact that it is still above the MA(99) shows that in the longer term, the trend remains relatively positive. However, the 0.000027–0.000028 area is a barrier to be crossed to regain a firmer momentum.
$ETH Prix actuel : 2743 USDC Variation 24h : +1.03% Plus haut 24h : 2771 Plus bas 24h : 2707 Volume 24h (ETH) : 41,050 Volume 24h (USDC) : 112.41M
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Moyennes Mobiles MA (7 jours) : 2709 MA (25 jours) : 2802 MA (99 jours) : 3301
Le prix reste en dessous des MA25 et MA99, ce qui met en évidence une faiblesse à moyen terme. Un retour durable au-dessus de la MA25 pourrait relancer la phase haussière.
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Indicateurs Techniques RSI (6) : 54 → Zone neutre,