foreign exchange market is undoubtedly the most liquid global commercial platform. However, the fluid nature of the forex market does not have a uniform distribution, despite its $7.5 trillion turnover. Especially during the peak hours, we notice the liquidity of the FX market drying up at an exponential rate.
Moreover, the period of low liquidity mainly emerges from different forex market situations. For example, you can refer to volatile hours, less predictability, and being more susceptible to bigger price fluctuations from comparatively small trades. Nonetheless, even during these conditions, Artificial intelligence can introduce several dynamic methods to ensure a smooth trading operation.
In this article, we will talk about whether Artificial intelligence will flatten or amplify volatility in low-liquidity forex market conditions and what it can mean for traders.
Comprehension of Volatility in Low-Liquidity Forex Market Sessions
Before we evaluate the impact of AI, we need to comprehend why volatility exists during less-liquid forex sessions. For instance, during the low-liquidity hours, the crucial institutional traders are mainly inactive, and the order books also become thinner.
Also, as the bid-ask spreads widen, the bigger trades can majorly shift the trading market because of lower depth in the platform. Moreover, liquidity is responsible for driving volatility in these similar situations, rather than being driven by information.
The overall scenario makes the forex market vulnerable to various factors such as noise, stop-hunting, and flash moves. Furthermore, you can also refer to algorithm trading as a crucial component, but the potential of AI can offer solutions to either stabilizing or disrupting the ongoing volatility pattern.
Several Implications for AI Flattening Volatility
Artificial intelligence has the potential to decrease volatility during the low-liquidity forex market hours. Moreover, it also has various impacts on other trading facilities, such as CFD trading. Nonetheless, some of the capabilities of AI to flatten volatility in the forex market are:
Enhanced Liquidity Provision
AI systems that are especially operational through deep learning and machine learning can serve as adjustable market makers. Also, unlike the conventional algorithms that mainly function through static rules, AI can strongly adapt its behaviour depending on various factors.
For instance, you can refer to the previous patterns and concurrent data. Moreover, these systems also have various capabilities, such as:
- Providing tighter spreads more efficiently.
- Learning optimal quotes can change even financial platforms.
- Recognizing manipulative or spoofing behaviour and neglecting any reaction to it.
Predictive Order Flow Management
Artificial intelligence is excellent at both forecasting and pattern recognition. For instance, it mainly predicts the market direction and the order flow even in the sparse infrastructures. Moreover, this AI ability generally assists traders in mitigating knee-jerk reactions in the forex market.
Additionally, instead of responding to each value tick, AI can predict short-term reversals or participate in fading excessive moves, which in turn can decrease exaggerated value actions on the commercial platform.

Decreased Emotional Trading
Retail traders often operate during the low-liquidity periods in the forex market. However, their engagement in this action also indicates that human emotions can aggravate volatility in the trading market.
Nonetheless, if we compare AI in this context and replace them with human traders during these periods, we might notice different scenarios. For instance, traders will notice less panic-driven price rises or herd behaviour. Furthermore, the engagement of AI can also mitigate volatility in the forex trading platform.
The Cases of AI Amplifying Volatility in The Forex Market
As AI carries various possibilities to flatten volatility in the forex market, there are also several chances for it to amplify the volatility as well. Moreover, AI has multiple capabilities that can further exacerbate instability in the trading market.
For example, they are generally characterized by efficiency, speed, and competitiveness of AI. Nonetheless, here are some scenarios where AI might amplify volatility in the forex market:
Herding Behaviour And Feedback Loops
Despite the various advantageous features of AI, it primarily functions on similar datasets and optimizes identical objectives. For example, you can refer to profit maximization or arbitrage.
Additionally, the following convergence can lead to herding behaviour, where various AI systems simultaneously place identical trades. Moreover, during the low-liquidity sessions, there are multiple effects we can notice, such as:
- A trivial signal could enable a cataract of AI-driven trades.
- Any liquidity gap can lead to unforeseen rises or flash crashes, which are similar to the GBP flash crash in October 2016.
Market Segmentation And Latency Arbitrage
AI facilities that operate with ultra-low latency abilities can exploit minor price differences across the trading areas. Moreover, this activity can also absorb liquidity from the thin trading platforms, as systems generally extract quotes to avoid getting arbitraged.
Noise Amplification over Signal
In low-liquidity infrastructure, we can notice the deterioration of the signal-to-noise ratios. Moreover, if the AI model cannot efficiently distinguish between noise and authentic market signals, it might, in turn, respond to irrelevant information.
For example, a news sentiment model can become hysterical about an inefficiently sourced tweet. Furthermore, it can also execute trades that can drive prices further from their authentic value.

In Conclusion
The influence of AI on the volatility of the forex market is neither significantly destabilizing nor stabilizing. However, we can also notice various characteristics of the AI systems. For example, they are mainly context, technology, and participant dependent.
While reducing volatility in the forex market, AI offers several benefits, including enhanced liquidity provision, rational execution, and improved forecasting intelligence. Nonetheless, despite all the possibilities, we should not forget that AI also carries a lot of options to amplify the volatility in the forex trading platform.
Additionally, you can notice a variety of trading platforms providing numerous trading facilities on the internet. With that in mind, you can also refer to our FXGiants platform, where you can find a lot of trading conveniences such as affordable commodities, stocks, brokers, and many more. Moreover, by utilizing all these facilities from our platform, you can increase your trading efficiency.
FAQs
1. How can AI impact forex trading?
– AI will positively impact forex trading by helping traders make faster decisions, alongside analyzing the market scenarios more efficiently.
2. Can low liquidity in the forex market increase the volatility rate?
– Yes, low liquidity in the forex trading platform can undoubtedly increase the volatility rate.
3. How can AI impact the forex market volatility?
– AI can impact the forex market volatility mainly through intensifying the short-term fluctuations.
4. How can you use AI to forecast forex?
– You can mainly predict forex through AI by using various trading indicators.
DISCLAIMER: This information is not considered investment advice or an investment recommendation, but is instead a marketing communication