Paid signals research
Cryptonary: paid Forex signals review
Cryptonary's paid-signal export contains 365 completed outcomes with a combined result of +891.9 pips and a 48.5% target-hit rate. The supplied sample finished positive. This review examines the aggregate bot results; individual paid messages and trade times are withheld.
Data imported 2026-09-15. This is the import date, not the trading period.
Why private signals are shown as aggregate results
TraderStat publishes aggregate results for private channels, not their messages, individual trade instructions, timestamps or access links. This is our publication policy to respect creators' rights, confidentiality and channel access terms. Missing public trade details do not mean that no checking took place.
Read the private-signal publication policyPaid signals: aggregate bot results
TraderStat publishes aggregate results for private channels, not their messages, individual trade instructions, timestamps or access links. This is our publication policy to respect creators' rights, confidentiality and channel access terms. Missing public trade details do not mean that no checking took place.
- Completed outcomes
- 365
- Target-hit rate
- 48.5%
- Combined result
- +891.9 pips
- Targets reached
- 177
- Stops reached
- 176
- Breakeven
- 12
Source checked reports: 0/1. The observation period is unavailable. These are supplied bot results, not independently verified account returns.
What this provider’s record offers
- 365 completed outcomes to examine.
- 12 instrument subtotals, including losses and breakeven outcomes.
- The recorded sample has a positive aggregate result.
Limitations before choosing
- The trading period is unavailable; consistency and drawdown cannot be established.
- Private messages are withheld under our publication policy, so readers cannot reproduce message-level checks here.
- Results do not include a verified subscriber account or establish subscription value.
What the outcomes show
177 outcomes reached a target, 176 reached a stop and 12 were marked breakeven. Stops account for 48.2% of the sample and breakeven outcomes for 3.3%. The reported win rate includes all three outcomes in its denominator. Excluding breakeven would answer a different question.
The average recorded outcome is +2.4 pips per signal. Targets occur less often than stops and breakevens combined, yet the aggregate is positive: the size of outcomes matters as well as their frequency. Without a dated sequence, this record cannot establish drawdown, monthly consistency or recovery time.
Which instruments drive the result?
The export covers 12 instruments. AUDUSD has the largest number of observations: 43 signals, or 11.8% of the complete sample, producing +377.1 pips. 7 instruments finished positive and 5 finished negative. This is observed coverage in the export, not a claim about the provider's advertised specialities.
By the stored result unit, GBPJPY has the highest subtotal (+883.1 pips from 33 outcomes) and USDCAD has the lowest (-553 pips from 22 outcomes). Removing USDCAD leaves +1,444.9 pips across the remaining 343 outcomes. This is a description of concentration, not a recommendation to omit losing instruments after the fact.
Source and verification limits
The source marks 0 of 1 included trader reports as checked; no anomaly flag is present in these reports. These are the supplying bot's labels. TraderStat has reconciled aggregate counts and subtotals, but has not independently rechecked private messages or audited a subscriber account.
Forex results are expressed in pips. Pips across currencies, metals and indices have different cash values, so neither their sum nor the average measures a dollar return.
What can this review establish?
Cryptonary's record is most useful for examining the 365 supplied outcomes and their distribution across instruments. The source's unchecked-report status limits the strength of any performance conclusion. Observation dates, subscription price, execution costs and account performance are unavailable. No monthly return, consistency claim or assessment of subscription value can be established from this export alone.
Cryptonary: paid results by instrument
All instrument subtotals in this market are included. Sorted by sample size; no signal-level details are published.
| Instrument | Signals | Targets | Stops | Breakeven | Result (pips) |
|---|---|---|---|---|---|
| AUDUSD | 43 | 24 | 14 | 5 | +377.1 |
| XAUUSD | 40 | 16 | 20 | 4 | +74.9 |
| EURGBP | 35 | 17 | 17 | 1 | +16.6 |
| GBPJPY | 33 | 20 | 13 | 0 | +883.1 |
| XAGUSD | 33 | 19 | 14 | 0 | +213.8 |
| GBPUSD | 31 | 16 | 15 | 0 | +110.4 |
| EURJPY | 29 | 12 | 16 | 1 | -43.5 |
| NZDUSD | 28 | 13 | 15 | 0 | -160.9 |
| USDJPY | 27 | 13 | 14 | 0 | +47.4 |
| EURUSD | 22 | 11 | 11 | 0 | -7.6 |
| USDCAD | 22 | 7 | 15 | 0 | -553 |
| USDCHF | 22 | 9 | 12 | 1 | -66.4 |
Questions about Cryptonary
Is this a good provider?
Cryptonary's record is most useful for examining the 365 supplied outcomes and their distribution across instruments. The source's unchecked-report status limits the strength of any performance conclusion. Observation dates, subscription price, execution costs and account performance are unavailable. No monthly return, consistency claim or assessment of subscription value can be established from this export alone.
Should I copy this provider?
This sample is research evidence, not a recommendation to copy trades. Check comparable dates, risk, costs and your ability to follow the strategy; a positive historical sum does not establish future results.
Why can’t I see the private trades?
TraderStat publishes aggregate results for private channels, not their messages, individual trade instructions, timestamps or access links. This is our publication policy to respect creators' rights, confidentiality and channel access terms. Missing public trade details do not mean that no checking took place.
Are private signals easier to check?
Structured signals with an explicit instrument, direction, entry, target and stop are usually simpler and less expensive to evaluate than open-ended forecasts. This depends on the record, not on whether a subscription is paid.
Continue your research
Use the same market, units and observation period when comparing providers. Free history is a separate sample and does not establish what a paid subscription delivers.