Deep Dive Analysis
Shiba Inu (SHIB)
2026-10-16 17:02 UTC · Aisha Okonkwo · 10,000 Portfolio
PRICE
0.00
0.00
52W HIGH
0.00
0.00
DRAWDOWN
-0%
-0%
STAGE
Stage 4 (Downtrend)
Stage 4 (Downtrend)
🟡 WAIT — No Clear Edge
Trend-Following System · LOW Conviction · 1 Bull / 3 Bear Factors
Bullish factors: strong bull trend (ADX 58.4)
Bearish factors: 50d falling, RSI weak (38.1), far below high
SHIB Price — 1 Year
1Y Ago: 0.00
Low: 0.00
Now: 0.00
Low: 0.00
Now: 0.00
Technical Snapshot
| RSI (14) | 38.1 | ADX (14) | 58.4 |
| 50d MA | 0.00 | 200d MA | 0.00 |
| Price vs 50d | ▼ Below | Price vs 200d | ▼ Below |
| Support | 0.00 | Resistance | 0.00 |
| ATR Volatility | 5.28%/day | Trend | HOLD |
Crypto Performance Comparison
| Asset | 1 Month | 3 Months | 6 Months | 1 Year |
| SHIB | -15.5% | +1.4% | +1.4% | -15.5% |
| BTC | -2.6% | +30.0% | +29.4% | +18.1% |
| ETH | -8.7% | +30.6% | +45.6% | +17.5% |
| SOL | -13.5% | +40.0% | +59.1% | +20.4% |
Trend-Following Backtest
2-year simulation of 10,000 using 50d/200d MA crossover + RSI filter. Buy when price > 50d MA (rising) + RSI 40-75. Sell on death cross or RSI > 82.
FINAL VALUE
2,725
RETURN
-72.7%
MAX DRAWDOWN
-76.3%
Strategy vs Buy & Hold
| Asset | Strategy | Buy & Hold | Max DD | Trades | Win Rate |
| SHIB | -72.7% | -61.0% | -76.3% | 49 | 6% |
DCA vs Lump Sum (SHIB)
If you had deployed 10,000 using different timing strategies over the past year.
| Strategy | Return | Value Today |
| Lump Sum (1y ago) | -15.5% | 5,070 |
| DCA — 4 buys | -20.4% | 7,957 |
| DCA — 6 buys | -16.8% | 8,319 |
| DCA — 12 buys | -15.3% | 8,467 |
SHIB Deployment Plan — 10,000 Portfolio
Analysis by Aisha Okonkwo (Yield / Staking Focused). If you’re managing a 10,000 crypto allocation, here’s the plan:
| Position size | 2,500 (25% of portfolio) |
| Stop loss | 0.00 (nan%) |
| Target 1 | 0.00 (nan%) |
| Target 2 | 0.00 (nan%) |
| Entry quality | Unknown (R:R None) |
| Max concurrent positions | 4 |
Cash reserve: keep 25% buffer. Deploy in 2 tranches. Portfolio style: Yield / Staking Focused.
Backtest Trade Log
| Date | Action | Price | P&L |
| 2026-09-23 | BUY | 0.00 | |
| 2026-09-24 | SELL | 0.00 | +0.0% |
| 2026-09-25 | BUY | 0.00 | |
| 2026-09-26 | SELL | 0.00 | +0.0% |
| 2026-09-27 | BUY | 0.00 | |
| 2026-09-28 | SELL | 0.00 | +0.0% |
| 2026-09-29 | BUY | 0.00 | |
| 2026-09-30 | SELL | 0.00 | +0.0% |
| 2026-10-01 | BUY | 0.00 | |
| 2026-10-02 | SELL | 0.00 | +0.0% |
| 2026-10-03 | BUY | 0.00 | |
| 2026-10-07 | SELL | 0.00 | -16.7% |
Generated by BitcoinsNews.com Coin Analysis Engine · 2026-10-16 17:02 UTC
Trend-following methodology: 50d/200d MA crossover + RSI filter + ADX regime gate
Data via Yahoo Finance / CoinGecko · Not financial advice. For educational purposes only.
Trend-following methodology: 50d/200d MA crossover + RSI filter + ADX regime gate
Data via Yahoo Finance / CoinGecko · Not financial advice. For educational purposes only.
ADX at 58.4 and they still call it HOLD lol. that trend strength reading with price under the 50d is textbook get-me-out territory
1 bull factor against 3 bear ones and RSI at 38. i read this as a polite way of saying sell without saying sell
SHIB +1.4% on the year while BTC did +18 and SOL +20. held this bag since 2021 and the comparison table just hurts to look at
the backtest section is brutal, last signal was a SELL on oct 7 at -16.7%. system is telling you it already exited
6% win rate across 49 trades and people still call this a strategy lol. the backtest bled 10k down to 2,725 while buy and hold only lost 61%. the system is literally worse than doing nothing
trend following on an asset that did -15.5% in a year, what did you expect. RSI at 38 with the 50d falling, the WAIT call is the only honest part of this page
the DCA table is the real takeaway. 12 buys lands at -15.3% vs -15.5% lump sum, so timing saved you basically nothing. meanwhile SOL is +40% over 3 months. why is this still getting 2,500 of the allocation
because Aisha runs a yield and staking style, she is not chasing SOL candles. agreed on the DCA bit tho, when all four rows are red the deployment plan is mostly cope