Technical Analysis

OP Technical Analysis February 3, 2026: Risk and Stop Loss

OP

OP/USDT

$0.2285
-1.85%
24h Volume

$89,261,307.89

24h H/L

$0.2372 / $0.2201

Change: $0.0171 (7.77%)

Long/Short
57.4%
Long: 57.4%Short: 42.6%
Funding Rate

-0.0068%

Shorts pay

Data provided by COINOTAG DATALive data
OP
OP
Daily

$0.2294

-0.30%

Volume (24h): -

Resistance Levels
Resistance 3$0.2933
Resistance 2$0.2573
Resistance 1$0.2402
Price$0.2294
Support 1$0.2280
Support 2$0.2099
Support 3$0.1375
Pivot (PP):$0.2293
Trend:Downtrend
RSI (14):28.4
DK
David Kim
(07:42 PM UTC)
5 min read
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OP token faces downtrend pressure with a daily %6.28 drop; while RSI at 25.70 is in oversold territory, remaining below bearish Supertrend and EMA20 necessitates a cautious approach focused on capital preservation. Stop-loss strategies are critical near the 0.2067 support, as the risk of a bearish move down to 0.0720 is high.

Market Volatility and Risk Environment

OP token is currently trading at 0.21 USD and has limited its daily range to 0.21-0.23 USD with a %6.28 drop over the last 24 hours. Although this narrow range indicates low short-term volatility, the broader risk environment of the crypto market must be considered. The trend is clearly downtrend; Supertrend gives a bearish signal and resistance is positioned at 0.29 USD. RSI at 25.70 is in oversold territory, which carries the risk of a potential rebound (false recovery), but this signal is not reliable without a close above EMA20 (0.28 USD). Multi-timeframe (MTF) analysis detects 9 strong levels on 1D/3D/1W: 1 support/2 resistances on 1D, 1S/1R on 3D, 1S/3R dominant on 1W. This means mostly resistance obstacles for upward movement. Volume is at a medium level of 106.91M USD, but decreasing volume in the downtrend signals weak buying support. ATR (Average True Range) can be used for crypto market volatility assessment; according to recent data, OP's daily ATR is around %5-7, creating vulnerability to sudden %10+ drops. Investors should be prepared for sudden BTC movements in this environment – a volatility spike in downtrend can lead to capital erosion. Check details in OP Spot Analysis and OP Futures Analysis.

Risk/Reward Ratio Assessment

Potential Reward: Target Levels

In a bullish scenario, a rebound triggered by oversold RSI targets 0.3580 USD first (approximately %70 upside potential). This level is a logical take-profit point after passing MTF resistances (0.2373 and 0.29). However, reaching this target in a downtrend requires strong volume and a close above EMA20; otherwise, there's high risk of reversal halfway. Long-term reward could extend to 0.40+ regions on the weekly chart, but this remains speculative with current bearish momentum.

Potential Risk: Stop Levels

Bearish target at 0.0720 USD (%66 downside) is triggered by a break of main support at 0.2067 USD (strength score 77/100). If this level breaks, a rapid drop to 3D/1W supports is possible. Resistance levels at 0.2178 (81/100) and 0.2373 (75/100) – rejection at these increases risk. Risk/reward ratio is below 1:1 for long positions (risk distance 0.21-0.2067=%1.57, reward 0.21-0.3580=%70 but low probability); favorable at 1:2+ for shorts, though oversold RSI carries reversal risk. Always target R/R of 1:2+, longs are risky in the current environment.

Stop Loss Placement Strategies

Stop-loss (SL) placement is the foundation of capital preservation; it should be based on technical structure, not random. For OP, the main reference is 0.2067 support – place SL below it (e.g., 0.2050, with %2 buffer). Structure-based strategy: Swing lows (near 0.2067) or ATR-based (1-1.5x ATR, ~0.01-0.015 USD distance). Use trailing stop: Pull SL to EMA20 with upward movement. MTF alignment is essential – place short SL above 0.2178 without 1D support break. Avoid wrong SLs (too tight: whipsaw risk; too loose: big loss). Educational tip: Integrate SL distance with position sizing, max %1-2 risk per trade. In crypto, prefer automatic SLs over mental stops due to volatility; even in OP's narrow daily range, sudden wicks can trigger SL.

Position Sizing Considerations

Position sizing is the heart of risk management – calculate based on risking %1-2 of your capital. Formula: Position Size = (Account Risk / (Entry - SL Distance)). Example: 10,000 USD account, %1 risk (100 USD), entry 0.21, SL 0.2067 (0.0033 distance) = ~30,000 USD position (spot, no leverage). In leveraged futures (OP Futures), max 5-10x, as volatility wipes positions. Advanced methods like Kelly Criterion: (Win Rate x Avg Win - Loss Rate x Avg Loss) / Avg Win. In OP downtrend, diversify with correlated assets. Educational: Fixed fractional (%1) vs volatility-adjusted (ATR-based) – prefer the latter in crypto, as altcoins like OP have high fluctuations. Never oversize with FOMO; validate with backtesting. Capital preservation: Keep at %10 limit with discipline instead of %10+ erosion in 10 consecutive losses.

Risk Management Summary

OP's main risk is downtrend continuation and BTC dependency; fix SLs around 0.2067, don't enter outside R/R 1:2+. There's hope for oversold RSI bounce but bearish indicators (Supertrend, EMAs) dominate – protect capital with %1 risk. Consider hedging against volatility spikes. Key takeaway: Plan every trade (entry/SL/target), keep a journal. With this approach, portfolio stays solid even in %6+ drops. Long-term: MTF resistance abundance requires patience.

Bitcoin Correlation

As an altcoin, OP is highly correlated with BTC (~0.8+); with BTC at 74.833 USD down %4.55 and bearish Supertrend, OP is under extra pressure. BTC support breaks at 73.730/70.181 push OP below 0.20. If BTC resistances at 75.638/78.691 aren't broken, altcoin rally is hard. If BTC dominance rises, OP outflow risk increases – synchronize OP trades with BTC key levels.

This analysis uses the market views and methodology of Chief Analyst Devrim Cacal.

Strategy Analyst: David Kim

Macro market analysis and portfolio management

This analysis is not investment advice. Do your own research.

DK
David Kim

Expert technical analysis and market insights. Follow us for the latest cryptocurrency analysis.

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