"KNN Machine Learning Hybrid Silver Claude" logo
KNN Machine Learning Hybrid Silver Claude
104.4%
1.67
36.5%
"KNN Machine Learning Hybrid Silver Claude" uploaded image
"KNN Machine Learning Hybrid Silver Claude" uploaded image
"KNN Machine Learning Hybrid Silver Claude" uploaded image
"KNN Machine Learning Hybrid Silver Claude" uploaded image
"KNN Machine Learning Hybrid Silver Claude" uploaded image
83.07M
Traded volume
559.95K
Pips won
10
Sales
731
Free installs
About trial version
This is a 7-day free trial of the KNN Hybrid Trading Bot for cTrader. (Please ensure to attach to 5-minutes timeframe) You get full access to every feature — live trading, Telegram alerts, threat detection, TP extension, and the chart dashboard — for 7 days from activation. After 7 days: Bot stops trading and disables all signals A red expiry banner appears on your chart A Telegram notification is sent to confirm expiry The expiry is locked to your broker's server time, so changing your PC clock won't extend it. Try it on a demo or live account in real market conditions — no features are restricted during the trial. Contact the developer to unlock the full version after expiry.

Important note: Recommended Use

Minimum recommended equity USD 500. Best suited for trending markets on 5-minute timeframes. Designed primarily for XAGUSD (Silver) . The EMA and regression slope filters help minimize /suppress signals in in choppy, low-volatility ranging environments.


KNN Machine Learning Hybrid Silver Claude is a fully automated trading robot for cTrader powered by a custom K-Nearest Neighbours (KNN) machine learning engine. Rather than relying on fixed indicator crossovers, it builds a rolling feature space from multi-period RSI and moving-average deviation metrics, applies PCA-style dimensionality compression, and uses Gaussian-kernel-weighted probability voting to assess whether the next price move is more likely bullish or bearish.


What makes it different from a standard indicator bot?

Most bots fire a signal when two lines cross. KNN Nexus fires only when the current market's feature profile closely resembles historical feature profiles that preceded profitable moves — and the probability weight of those similar past bars exceeds a configurable threshold. This gives the signal a probabilistic, data-driven foundation rather than a deterministic, rule-based one.


Core Feature Set

Machine Learning Core — Rolling KNN inference with configurable K, window size, and probability threshold. Feature space includes z-scored RSI (3 periods), MA deviation (3 periods), and RSI signal distances, compressed into 3 principal components.


Entry Filters — Optional EMA trend filter and linear regression slope filter gate every signal. Both are independently toggleable, ensuring you only trade in confirmed trend conditions.


Dynamic Risk Management — ATR-based initial SL/TP. Optional 3-phase dynamic stop progression: Phase 1 (raw SL) → Phase 2 (breakeven trigger) → Phase 3 (Chandelier trailing stop with optional TP removal for open-ended profit capture).


Threat Detection Engine — Evaluates 4 real-time threat signals per bar: SL proximity, KNN momentum flip, EMA reversal, and regression slope reversal. When a configurable number of threats coincide, it alerts you via Telegram and can automatically tighten the SL to breakeven.


TP Extension — When strong KNN confidence, EMA alignment, slope alignment, and sufficient price progress all coincide, the take profit is automatically extended by one ATR step. Capped at a configurable maximum number of extensions to prevent unchecked TP chasing.


Tiered Position Sizing — Lot size grows incrementally as account balance crosses configurable tier thresholds. Hard-capped to preserve long-term equity.


Telegram Intelligence — Real-time notifications for trade open (with entry logic breakdown), trade close, threat alerts, TP extensions, and a daily P&L summary at GMT+8 midnight.


Default parameters represent a balanced starting point. Users are strongly encouraged to run their own backtests and forward-test on a demo account before committing real capital. Small adjustments to ATR multipliers, probability threshold, and window size can significantly change behavior.

Setup Guide - Work Instructions


Install & Compile


Configure Telegram (optional but recommended)

Create a Telegram bot via @BotFather and obtain your Bot Token. Get your group or channel Chat ID. Paste both into the Telegram Notifications parameter group. Set Enable Telegram Alerts = true.


Choose Your Instrument & Timeframe

Attach the bot to a chart. Recommended starting points: XAGUSD M5. Avoid attaching to very low-liquidity instruments or timeframes below M5.


Set Risk Parameters

Configure Base Lot Size according to your account size. As a guideline, use 0.01 lots per $200–300 of balance. Enable Tiered Sizing only once you are comfortable with the bot's behavior. Leave the 0.05 lot hard cap in place until you have sufficient live data.


Configure Filters

Keep Strict EMA Trend Filter = true for your first weeks of live trading. Enable Secondary Momentum Filter → Regression_Slope for additional signal quality. These filters reduce trade frequency but improve signal quality significantly in trending conditions.


⚠ IMPORTANT RISK DISCLOSURE

Trading foreign exchange, contracts for difference (CFDs), commodities, and other leveraged financial instruments carries a high level of risk and may not be suitable for all investors. The use of automated trading software, including KNN Nexus, does not eliminate this risk and may introduce additional risks including, but not limited to, technical failure, connectivity loss, platform errors, and unexpected market conditions.

KNN Nexus is provided strictly as a software tool. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. The author makes no representations or warranties regarding the profitability, accuracy, or suitability of this robot for any particular purpose or individual circumstance.

Past performance — whether from backtesting or live forward-testing — is not indicative of future results. Backtested results are inherently subject to curve-fitting, look-ahead bias, and idealised execution assumptions that may not reflect real-world slippage, spread widening, or broker-specific conditions.

You are solely responsible for all trading decisions made using this software. Never trade with capital you cannot afford to lose. Always test on a demo account before risking real funds. Consult a licensed financial adviser before making any investment decision.

By using KNN Nexus, you acknowledge that you have read and understood this disclaimer and accept full responsibility for any trading outcomes.

About trial version
This is a 7-day free trial of the KNN Hybrid Trading Bot for cTrader. (Please ensure to attach to 5-minutes timeframe) You get full access to every feature — live trading, Telegram alerts, threat detection, TP extension, and the chart dashboard — for 7 days from activation. After 7 days: Bot stops trading and disables all signals A red expiry banner appears on your chart A Telegram notification is sent to confirm expiry The expiry is locked to your broker's server time, so changing your PC clock won't extend it. Try it on a demo or live account in real market conditions — no features are restricted during the trial. Contact the developer to unlock the full version after expiry.
Trading profile
Trading style
Day trading
Strategy type
Analysis type
Trade frequency
Min recommended balance
$2500
Risk per trade
3.1%
Chart period
Backtesting leverage
1:7
Daily drawdown limit
15.6%
Prop firm rule fit
—
Risk management
Risk model
Supported order types
Supported risk controls
0.0
Reviews: 0
Customer reviews
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Signal
Commodities
RSI
AI
ATR
Products available through cTrader Store, including trading bots, indicators and plugins, are provided by third-party developers and made available for informational and technical access purposes only. cTrader Store is not a broker and does not provide investment advice, personal recommendations or any guarantee of future performance.

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