I want to implement a betting strategy in Pocket Option.

Budget: 7000 UAH Deadline: 5 days

I will develop a trading bot for Pocket Option with impulse movement detection. Tracking abnormal price spikes is implemented through tick data analysis via WebSockets to ensure a reaction speed of < 1 second. The filtering logic is configured through volatility calculation in real-time. Experience in integrating with complex brokerage systems (cTrader Open API) and developing arbitrage algorithms guarantees architectural stability. Please send screenshots of the patterns in private messages; I will assess the technical feasibility of connecting to the broker.

Budget: 4000 UAH Deadline: 3 days

Good day. It is technically possible to create such a bot.

But there is a small nuance: if the price goes up, it doesn't mean it has to go down now. It can go even higher. The same story applies to the coin: the chance of heads or tails is 50/50, but it can easily land on heads 5 times in a row and just laugh at you.
Such a bot will be roughly like a coin toss, only with a nice graph and a complex interface 😄
So don't listen to fairy tales from freelancers; if it really worked reliably, freelancers wouldn't be writing bots for a few thousand hryvnias - we would have long been sipping cocktails somewhere in Bali...

Budget: 15000 UAH Deadline: 10 days

We can start the first working phase from 15,000 UAH and 10 days - not as a magic profit button, but as a signal system with clear logic, historical checks, and a results journal =)

Look, there’s a nuance - for Pocket Option, it’s important to separate 3 things - the source of quotes, the rules for entering up or down, and the strategy check on history. I would start with a prototype - sharp impulse indicators, volatility filters, candle strength, trend confirmation, anti-filter against noise, signal notifications, and a table of all triggers.

Questions for accurate assessment
> What assets are needed - currencies, crypto, indices
> Should the bot only give a signal or also automatically enter a trade

Similar types of work cases
> https://business.ingello.com/vorfahr - automation with decision-making logic and complex scenarios
> https://business.ingello.com/fractal - agent and process automation, where rules, control, and observability are important

Ingello main page for the exchange
> https://systems-fl.ingello.com

!!Important!! The profitability of such a strategy cannot be promised in advance - first, we test the hypothesis on data, then we strengthen the algorithm. As they say, measure seven times - enter the trade once. Expand

Budget: 3800 UAH Deadline: 5 days

Hello, Marina!

I will create a bot in Python: connecting to Pocket Option quotes via WebSocket, detecting sharp impulses based on volatility (ATR + false breakout filter based on candle volume), signal in Telegram — asset, direction, time.

An important point to understand right away: Pocket Option does not have an official API, so the connection is made through a browser WebSocket with session authorization — this may periodically disconnect, and I will handle reconnections. Another point: the bot will catch a technical pattern (sharp spike + confirmation), not predict future movement — no bot can guarantee that after a spike the price will go in the desired direction. I suggest creating an honest signaling tool with a log of all triggers, so you can see from the history how well the pattern works before relying on it.

Please clarify:

What assets are needed — currencies, crypto, indices?
Should the bot only send signals, or also automatically open trades?
Do you have screenshots of 2-3 such "specific" moments you have in mind? It’s easier to set up filters for a specific example.

I am ready to start after clarifying the details. Expand

Budget: 10000 UAH Deadline: 7 days

You need a bot for Pocket Option that catches moments of strong price movement and suggests whether to enter up or down. I can do this. First, I will clarify what movement you consider strong and what signs to look for. Then, I will describe the logic of the signals and build the bot in Python: it will monitor the chart, check your conditions, and provide hints to go up or down at the right moment. I will separate the settings so you can change the parameters according to your strategy. I will show you an intermediate version in advance so you can check the signals before the final assembly. If this approach works for you, write to me, and we will discuss the details and get started.

Budget: 4000 UAH Deadline: 7 days

I need a bot that detects impulse movements on Pocket Option in real-time and provides a clear signal to enter up or down exactly at the moment of a breakout.

I will implement it through a WebSocket connection to PO quotes, calculating volatility on a sliding window (ATR + z-score deviation), and filtering false breakouts based on candle volume. The signal will be sent to Telegram with the direction, asset, and expiration time. The key risk here is that PO does not provide an official API, so we are working through a browser WebSocket with authorization via session cookies -- this needs to be handled carefully to prevent the session from expiring.

What entry strategy do you want to implement: fixed expiration time (for example, 1-2 minutes) or entry until the end of the current candle, and do you have screenshots/examples of those "necessary" moments you want to capture?

Budget: 4000 UAH Deadline: 6 days

I will create a bot that captures moments like in the example you provided and sends a signal in Telegram: active, direction, entry time.

I will gather entry conditions from your examples: you will show several such moments on the chart, I will extract what repeats, and the bot will look for exactly that.

The signal comes immediately at the moment of activation because seconds matter here. The bot runs on a server and works around the clock, so you don't need to turn on your own computer for this.

Automatic entry into a trade can also be done.

Stack: Python. We will discuss the details in the chat.

Budget: 4000 UAH Deadline: 5 days

Good day!

⚡️ I specialize in developing automations and Telegram bots for data monitoring and strategy execution. I understand that you need a bot for Pocket Option that will analyze market data and signal optimal moments for entering trades during strong price spikes.

I propose the following implementation plan:
1. Analyze the Pocket Option data source (API or web scraping) and discuss specific indicators/patterns for identifying spikes.
2. Develop the core module for real-time data collection and analysis.
3. Create logic for identifying "the right" moment with customizable threshold settings.
4. Integrate with Telegram for instant notifications about trade entries (up/down).

Could you please describe in more detail which specific patterns or indicators you consider a "strong spike" and whether Pocket Option has a public API for collecting quotes?

I am ready to show a demo of a similar bot that monitors data and sends notifications so you can evaluate my approach to implementation. Let's discuss this in private messages. Expand

Budget: 16000 UAH Deadline: 7 days

We already have a nearly ready foundation for a similar signal bot - it can be quickly adapted for Pocket Option and we can discuss the details here on the marketplace, I am available ))

Regarding the timeline - a basic prototype can be made in 5-7 days.
Regarding the budget - starting from 16,000 UAH for the first working stage with signal logic, entry journal, and strategy testing on historical data.

An important nuance - I would not create a magical entry button, but a system consisting of 3 parts:
- data collection on prices and candles
- rules for determining strong upward or downward movements
- a signal journal with verification, where the strategy actually works and where the market is just making noise.

No promises of profitability - in trading, that would be like reading tea leaves, not engineering.
But we can create a tool that disciplines entries, shows statistics, and helps filter out weak signals.

I would like to clarify 2 points:
- is the signal needed only as a hint for the person, or should the bot open trades by itself?
- do we take data from Pocket Option in real time, or do you already have a source for candles and trade history?

Similar approach cases from Ingello:
- https://business.ingello.com/fractal - systems with agent logic and decision automation
- https://business.ingello.com/vorfahr - process automation with AI and quick launch

Main page for our systems for FLH:
https://systems-fl.ingello.com Expand

Budget: 4000 UAH Deadline: 2 days

Good afternoon, you need to create an optional bot based on signals to work with trading, I suggest we discuss it.

Budget: 5000 UAH Deadline: 5 days

Hello! I am implementing an asynchronous bot in Python that will connect to Pocket Option via websockets to receive real-time tick quotes, apply technical indicators (RSI, Bollinger Bands, volumes) to filter out noise, and issue signals in Telegram only upon confirmed momentum with specified risk management.

I have experience in developing similar trading bots connected to binary options and cryptocurrency exchanges, including handling execution delays and protection against false breakouts.

What timeframes and expiration timeouts (30s, 1m, 5m) do you plan to use as the main ones for the strategy?

Budget: 4000 UAH Deadline: 5 days

Marino, creating such a bot requires connecting to the platform's API for real-time schedule monitoring and setting up an algorithm that tracks volatility. To minimize false signals, we will focus on filtering market noise rather than just basic price changes.

Right now, it is important for me to understand which specific time intervals and assets you plan to trade. Please tell me if you already have a ready logic for the indicators, or if I need to suggest options based on technical analysis for your algorithm?

Budget: 4000 UAH Deadline: 1 day

Good day, I am ready to complete your task quickly and efficiently. I have extensive experience in creating various bots. Please write to me in private messages to discuss the details. I would be happy to help :)