Hyperfuku: How It Works
Hyperfuku: How It Works
Hyperfuku’s AI strategy combines several well‑known technical indicators and patterns, using machine learning to weigh their importance and generate an entry signal. In plain language, the bot is looking at the same kinds of signals a seasoned trader might – trend direction, momentum, volume patterns, support/resistance – but it does so quantitatively and continuously across multiple timeframes. The core idea is to determine what the chart is telling us right now about the likely direction of price, and then act on it quickly and consistently.
Here are some of the indicators and data Hyperfuku’s model analyzes:
Relative Strength Index (RSI): A momentum oscillator indicating how overbought or oversold an asset is. Hyperfuku uses RSI (with standard 14‑period settings) to spot extremes – for example, if RSI drops below 30, the asset is oversold (potentially due for a bounce), and if above 70, it’s overbought (potentially due for a pullback). The AI gives weight to RSI conditions; a long signal is more likely when the market is oversold and showing signs of an upward turn, whereas an overbought reading can precede a short signal.
Moving Averages & Trend Filters: The bot looks at trend direction using techniques like moving average filters. For instance, one part of the strategy uses a range filter that smooths price noise (by averaging price over a period with a Gaussian‑weighted moving average) and tracks its direction. If price breaks above this smoothed range filter and the filter has started sloping upward, that’s a sign of an uptrend beginning (potential long condition). Conversely, dropping below a falling filter indicates a downtrend (short condition).
MACD (Moving Average Convergence Divergence): The AI model considers MACD for trend momentum. MACD can confirm when momentum shifts from bearish to bullish or vice versa. In plain terms, it’s another check on whether the market’s momentum aligns with a long or short.
Volume: Volume is the fuel of price movement. Hyperfuku’s AI accounts for trading volume patterns – for example, a signal is stronger if it’s accompanied by high volume (since big players might be driving the move).
Supertrend: This is a popular indicator that gives a simplified buy or sell signal based on price relative to a volatility‑adjusted trend line. Hyperfuku’s strategy incorporates such trend‑following indicators to stay on the right side of the market’s momentum.
Ichimoku Cloud: Ichimoku is a comprehensive indicator that shows trend, support/resistance, and momentum at a glance. The AI doesn’t require you to understand Ichimoku, but internally it can use aspects like the cloud and conversion/base lines to inform its trades.
AI Weighted Decisions
Hyperfuku’s algorithm was trained and fine‑tuned on large historical datasets. It wasn’t just manually tweaked to use fixed indicator rules – instead, the developers let an AI analyze years of price data across many market conditions to determine which indicator combinations and thresholds lead to the best outcomes. After this training, the model “learned” how much importance to assign to each indicator. For instance, RSI oversold + bullish MACD crossover + increasing volume is a high‑probability long entry. On the other hand, if indicators conflict (say RSI is oversold but trend filters still show strong downtrend), the AI will likely wait for additional indicator alignment.
Entry‑Focused Logic
It’s important to note that Hyperfuku’s AI is primarily focused on finding good entries. It does not manage the full trade lifecycle like a human would; specifically, it doesn’t have a sophisticated take‑profit/exit algorithm for each trade beyond some basic stops. The philosophy is that entering at the right time is key – once you’re in a trade, managing that trade (when to take profit, whether to scale in/out, etc.) can be handled by simpler rules or left to the user’s discretion.
In practice, Hyperfuku issues a signal based on what the chart is saying now – not based on whether the last trade was a win or loss. The AI has no memory of your PnL. It won’t get gun‑shy just because the previous trade failed; conversely, it won’t keep holding a bias because the last trade was profitable. It’s always looking at fresh data. This means it follows the trend, not the PnL. The advantage is that Hyperfuku won’t hesitate to switch direction when the market does – it doesn’t get emotional or cling to a bias. The disadvantage is that if the market is choppy (fluctuating sideways), this can lead to successive small losses (the bot might flip long→short→long in a whipsaw, losing a bit each time). It’s great at entries based on technical signals, but exit management and higher‑level strategy (like avoiding certain conditions) still require your judgment (for now).
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