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Trading bots identified Bitcoin entry points amid return to $70,000
The movement of the main cryptocurrency’s price is rarely linear. The asset’s price rises, then corrects, and then moves upward again within a single macro cycle. Undoubtedly, this thesis was confirmed after the recent statement by Geoff Kendrick. The Head of Digital Asset Research at Standard Chartered noted the attractiveness of a price drop below $60,000. At the same time, the expert allowed for the possibility of a decline to the $50,000 level before the beginning of a full-scale recovery.
Such volatility significantly complicates the choice of timing for opening positions. Therefore, analysts have increasingly begun to use AI-based trading algorithms to track fluctuations. Notably, such systems completely avoid searching for the absolute market bottom. On the contrary, they focus on moments of real accumulation of assets by large players. In this regard, developers created the “Accumulation Cycle” indicator in Pine Script. This program only indicates potential zones of activity based on mathematical calculations.
Methods for identifying buying zones through programmatic approaches
Kendrick’s position clearly illustrates the main problem of modern traders. Bitcoin can fall, recover, and decline again within a short period of time. It is precisely for such scenarios that a new technical model has been developed. The system does not engage in direct forecasting of minimum values. The program always waits for confirmation of the return of buyer strength.
The algorithm uses a specific combination of structure assessment and market momentum. The calculations are based on the Exponential Moving Average (EMA) to determine the trend and the Relative Strength Index (RSI). For a signal to appear, three basic factors must coincide. First, the price must overcome a key level and close the daily candle. Second, market volume must begin to grow. In addition, the price must stabilize to avoid further collapse. Only after all conditions are met does a notification of the beginning of accumulation appear.
Accordingly, the February low around $60,000 did not activate the indicator due to the persistence of market weakness. The signal triggered exclusively after Bitcoin returned to the $70,000 mark in mid-March 2026. This became the first mathematical sign of demand recovery. A similar logic was successfully applied in November 2025.
In autumn, quotes found a bottom around $80,500. However, the model deliberately remained inactive. The indicator activated only after a confident consolidation above $84,600 at the close of the day. From there, the price moved to $92,800, where the system recorded the end of the cycle, capturing a move of 8%. The program did not attempt to find the absolute maximum around $94,100. Practice shows that most triggers fall within the range of 8% to 12%, where price movements are the most stable.
Results of algorithm performance over time
Retrospective analysis demonstrates high accuracy in identifying strong trends. In October 2024, the model recorded a movement at the level of 60%. In spring 2025, the program identified another phase that led to a rally of 35%. Each call to buy was strictly supported by a clear indicator of completion.
Later cycles provided market participants with growth from 8% to 12%. The architecture of the system deliberately ignores attempts to guess extremes. At market lows, selling pressure is still high, and the upward vector is extremely weak. Therefore, early triggers often turn out to be false. In a bearish phase, quotes may fall even lower, which is why the indicator ignored levels such as $60,000 and $80,500.
Bitcoin price alerts: TradingView
Confirmation of entries through on-chain analytics
The conclusions of the program fully coincide with the behavior of long-term investors. For verification, the net position change metric from the Glassnode platform is used. It tracks the actions of market participants holding Bitcoin for more than one year.
What AI trading bots can predict: TradingView
During the November cycle, selling by such organizations reached a peak of around 75,000 coins. Selling pressure began to weaken even before the appearance of technical signals. The trading bot showed a sign of accumulation on November 23, and the phase ended on December 5. During this period, long-term holders steadily reduced the volume of asset sales. Such dynamics became a strong bullish factor.
Why the methodology does not capture exact bottoms
Shortly after that, investor activity briefly became positive. Then selling resumed again, which perfectly coincided with the model’s exit signal. In the current cycle, the indicator triggered on March 15. Now the net position change of large holders has become positive and continues to grow.
On-chain data and trading bots: Glassnode
During the November cycle, selling by such organizations reached a peak of around 75,000 coins. Selling pressure began to weaken even before the appearance of technical signals. The trading bot showed a sign of accumulation on November 23, and the phase ended on December 5. During this period, long-term holders steadily reduced the volume of asset sales. Such dynamics became a strong bullish factor.
How holders confirm the logic of bots: Glassnode
Shortly after that, investor activity briefly became positive. Then selling resumed again, which perfectly coincided with the model’s exit signal. In the current cycle, the indicator triggered on March 15. Now the net position change of large holders has become positive and continues to grow.
Alert settings: TradingView
Despite the local price pullback, asset accumulation by funds continues. As a result, the signal to close positions has still not been received. Technical analysis also indicates the continuation of the active buying phase.
Accumulation completion alert: TradingView
Setting up alerts from automated systems
To use the model in real time, traders configure alerts directly on the TradingView platform. First, it is necessary to add the script “BIC Accumulation Cycle Final Pro.” Then, two types of alerts should be created: for entering an asset and for exiting it.
The time interval must be synchronized with the working schedule. As a condition, it is better to choose triggering once at the close of the bar for accurate noise filtering. The duration of alerts should be set for at least three months ahead.
If Bitcoin follows the scenario outlined by Kendrick and fluctuates between $50,000 and $100,000, its path will definitely not be linear. The price may rise from $60,000 to $75,000, then correct again, but remain within the global bullish trend. Automated bots focus precisely on such fluctuations. They track the moments of emergence and fading of market strength. Accordingly, investors gain the opportunity to act within local movements rather than waiting through the entire macro cycle with frozen capital.
See also: "The trend toward hybrid platforms has reached over 90% of crypto traders in the U.S."
