| Benchmark (Bitcoin) | Strategy | |
|---|---|---|
100% | 100% | |
100% | 100% | |
1.00 | 1.00 | |
100% | 100% | |
1.00 | 1.00 | |
1.00 | 1.00 |
Predictive factors are designed to be translated into simple long-only strategy, with simulated past performance:
The strategy is rebalanced daily, on a continuous basis. There are 0.5% transaction costs applied on each position adjustment.
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Measures the ratio of positive to negative mentions on Telegram.
Telegram groups exhibit faster reaction times to market-moving events compared to traditional sentiment sources. Crypto OGs and professional traders often coordinate in private Telegram channels before news becomes mainstream, creating a 6-12 hour lead time window. The platform's encrypted nature allows discreet position-building that later manifests in public market moves.
Top crypto Telegram groups represent a self-selected pool of committed market participants. Unlike Twitter's broad audience, these channels contain:
This density of high-conviction players creates a "smart money" signal filter.
Positive sentiment → Price increases → More bullish messages → New entrants joining groups creates a self-fulfilling prophecy loop. The platform's group discovery algorithms surface trending channels to new users, creating a natural momentum amplifier. This reflexivity is particularly potent in low-float altcoins where Telegram communities directly influence liquidity conditions.
Telegram sentiment data is sourced through exported chat logs of specific cryptocurrency-related groups, followed by preprocessing and analysis via machine learning models. The raw sentiment scores are then normalized against historical averages to create a relative index.
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Get started by replicating the historical performance with our code snippets.
Copy and paste the code snippets below into your Python environment or download the files below.